Edmund Y. Lam  —  Publications

Book:

1. Patrick Lam and Edmund Lam, Soaring Like Eagles: ASM's High-Tech Journey in Asia. John Wiley & Sons, 2006.  
   Purchase in Hong Kong from Cosmos Books | Purchase elsewhere from Amazon.com

Book Chapters:

1. Vincent Tam, Edmund Y. Lam, Y. Huang, Kelly Liu, Victoria Tam, and Phoebe Tse, “Developing the petal e-learning platform for facial analytics and personalized learning,” in Learning, Design, and Technology, pp. 1–17, Springer, 2016. doi:10.1007/978-3-319-17727-4_17-1

2. Vincent Tam, Alex Yi, Di Xu, and Edmund Y. Lam, “An effective cloud-based simulator facilitating learning analytics on mobile devices,” in Mobile Learning Design: Theories and Application, Lecture Notes in Educational Technology, pp. 175–188, Springer, 2016.

3. Edmund Y. Lam, “Optical scanning holography and sectional image reconstruction for biophotonics,” Understanding Biophotonics: Fundamentals, Advances and Applications, pp. 649–671, Pan Stanford, 2015.

4. Kelly Liu, Victoria Tam, Phoebe Tse, Edmund Y. Lam, and Vincent Tam, “Developing the PETAL e-learning platform for personalized teaching and learning,” in Emerging Issues in Smart Learning, Lecture Notes in Educational Technology, pp. 109–112, Springer, 2014.

5. Vivek J. Srinivasan, Aaron C. Chan, and Edmund Y. Lam, “Doppler OCT and OCT angiography for in vivo imaging of vascular physiology,” in Selected Topics in Optical Coherence Tomography, pp. 21–40, InTech, 2012.

6. Edmund Y. Lam, “Things an electrical engineer rarely talks about,” in Love God with All Your Mind, pp. 321–328, Tien Dao Publishing House, 2011. (in Chinese)

7. Edmund Y. Lam and George S.K. Fung, “Automatic white balancing in digital photography,” in Single-Sensor Imaging: Methods and Applications for Digital Cameras, pp. 267–294, CRC Press, 2008.

8. Yijiang Shen, Edmund Y. Lam, and Ngai Wong, “Robust binary image deconvolution with positive semidefinite programming,” in Recent Advances in Engineering and Computer Science, pp. 159–166, Newswood, 2007.

Edited Book / Proceedings:

1. Edmund Y. Lam and Kurt S. Niel, Image Processing: Machine Vision Applications VIII. Proceedings of SPIE Volume 9405, SPIE, 2015.

2. Philip R. Bingham and Edmund Y. Lam, Image Processing: Machine Vision Applications VI. Proceedings of SPIE Volume 8661, SPIE, 2013.

3. Philip R. Bingham and Edmund Y. Lam, Image Processing: Machine Vision Applications V. Proceedings of SPIE Volume 8300, SPIE, 2012.

Editorials:

1. Andrew R. Harvey, Oliver Cossairt, Jun Ke, Edmund Y. Lam, and Prasanna Rangarajan, “Computational optical sensing and imaging: feature issue introduction,” Optics Express, vol. 28, no. 12, pp. 18131–18134, June 2020. doi:10.1364/OE.397510

2. Edmund Y. Lam, “Golden anniversary of Fourier optics: guest editorial,” Applied Optics, vol. 58, no. 7, pp. ED1–ED2, March 2019. doi:10.1364/AO.58.000ED1

3. Abbie T. Watnik, Andrew R. Harvey, Edmund Y. Lam, and Prasanna Rangarajan, “Computational optical sensing and imaging: introduction,” Applied Optics, vol. 58, no. 7, pp. COS1–COS2, March 2019. doi:10.1364/AO.58.00COS1

4. Edmund Y. Lam, Gisele Bennett, Christy Fernandez-Cull, David Gerwe, Michael Kriss, and Zeev Zalevsky, “Imaging systems and signal recovery: introduction to feature issue,” Applied Optics, vol. 54, no. 13, pp. IS1–IS2, May 2015. doi:10.1364/AO.54.000IS1

5. Edmund Y. Lam, Hamid Aghajan, Andrea Prati, Faisal Z. Qureshi, and Vincent Tam, “Computational and smart cameras,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 3, no. 2, pp. 121–124, June 2013. doi:10.1109/JETCAS.2013.2256971

6. Edmund Y. Lam, Shaun S. Gleason, and Kurt S. Niel, “Quality control by artificial vision,” Journal of Electronic Imaging, vol. 19, no. 3, pp. 031201, July–September 2010. doi:10.1117/1.3497000

7. Edmund Y. Lam, King-Shan Lui, and Vincent W.L. Tam, “Image and video processing in wireless sensor networks,” Multidimensional Systems and Signal Processing, vol. 20, no. 2, pp. 99–100, June 2009. doi:10.1007/s11045-009-0083-6

8. Michael Ng, Edmund Y. Lam, and Chong-Sze Tong, “Superresolution imaging: Theory, algorithms and applications,” Multidimensional Systems and Signal Processing, vol. 18, no. 2–3, pp. 57–58, September 2007. doi:10.1007/s11045-007-0021-4

Patents:

1. Yaping Zhao and Edmund Y. Lam, “System and method for saliency-adaptive snapshot compressive imaging,” U.S. patent application 18/783,371, July 2024.

2. Yaping Zhao, Edmund Y. Lam, Pei Zhang, and Chutian Wang, “System and method for event-driven video synthesis using textual descriptions,” U.S. provisional patent 63/673,513, July 2024.

3. Yaping Zhao and Edmund Y. Lam, “A system and method for detecting an object,” U.S. provisional patent 63/662,526, June 2024.

4. Yanmin Zhu and Edmund Y. Lam, “Method and apparatus for multi-modal polarization holographic spectrometry for material analysis,” U.S. patent 12,613,183, April 2026.

5. Yanmin Zhu, Yuxing Li, and Edmund Y. Lam, “Method and apparatus for microplastic identification with polarized digital holography,” U.S. patent 12,498,314, December 2025.

6. Chul Lee and Edmund Y. Lam, “Efficient low power contrast enhancement apparatus and method for transmissive LCDs,” Korea patent 10-1980826, May 2019.

7. Chul Lee and Edmund Y. Lam, “Apparatus for processing high dynamic range imaging,” Korea patent 10-1740647, May 2017.

8. Jing Xu, Zhimin Xu, and Edmund Y. Lam, “Method and apparatus for processing light-field image,” U.S. patent 9,456,193, September 2016.

9. Luhong Liang, King Hung Chiu, and Edmund Y. Lam, “Apparatus, system, and method for multi-patch based super-resolution from an image,” U.S. patent 8,675,999, March 2014.

10. Ronald Chung, Jun Cheng, Edmund Y. Lam, Kenneth S.M. Fung, Fan Wang, and W.H. Leung, “Imaging system for three-dimensional reconstruction of surface profiles,” U.S. patent 7,676,114, March 2010.

11. Jun Wang, Alfred K. Wong, and Edmund Y. Lam, “Rectangular contact lithography for circuit performance improvement and manufacture cost reduction,” U.S. patent 7,569,308, August 2009.
    To license, please contact the University's Technology Transfer Office.

News and Magazine Articles:

1. “50 years of Fourier optics,” Optics and Photonics News, pp. 18–20, June 2018.

2. Johnny Yeung, Vincent Tam, and Edmund Y. Lam, “Integrating learning objects into an interactive simulator for computer systems,” IEEE Learning Technology Newsletter, vol. 11, no. 4, pp. 16–19, October 2009.

3. Edmund Y. Lam, “Algorithm variability in optical lithography,” SPIE Newsroom, 25 September 2009. doi:10.1117/2.1200909.1818

Academic Journals:

1. Yunping Zhang, Ni Chen, Yanmin Zhu, Jingyan Chen, Chutian Wang, Tianjiao Zeng, and Edmund Y. Lam, “Advanced deep learning for digital holography: A review,” Progress in Quantum Electronics, vol. 109, pp. 100638(1–15), September 2026. doi:10.1016/j.pquantelec.2026.100638

2. Zhenyang Li, Xiaoyang Bai, Jinfan Lu, Pengfei Shen, Edmund Y. Lam, and Yifan Peng, “EventTracer: Fast path tracing-based event stream rendering,” IEEE Transactions on Visualization and Computer Graphics, vol. 32, no. 8, pp. 7606–7618, August 2026. doi:10.1109/TVCG.2026.3701141

3. Shuo Li, Mohamed Elgendi, Yanmin Zhu, Edmund Y. Lam, and Carlo Menon, “Lighting effects on optimal facial regions for remote heart rate measurement,” npj Cardiovascular Health, vol. 3, pp. 40(1–11), June 2026. doi:10.1038/s44325-026-00140-7

4. Haosen Liu, Jiahao Liu, Shan Tan, and Edmund Y. Lam, “Image restoration learning via noisy supervision in Fourier domain,” IEEE Transactions on Image Processing, vol. 35, pp. 6432–6445, June 2026. doi:10.1109/TIP.2026.3700926

5. Ziyang Liu, Tianjiao Zeng, Xu Zhan, Xiaoling Zhang, Yunqi Wang, and Edmund Y. Lam, “Structure-guided lensless reconstruction via physics-aware decomposition in low-light conditions,” Optics and Laser Technology, vol. 198, pp. 114856(1–12), June 2026. doi:10.1016/j.optlastec.2026.114856

6. Yingyu Bao, Yuen-Wa Ho, Zhiyong Shen, Edmund Y. Lam, James K.H. Fang, Kenneth M.Y. Leung, and Patrick K.H. Lee, “Seasonal divergence between microbiomes on microplastics and natural particles increases with rising water temperatures in urban rivers,” Environmental Science and Technology, vol. 60, no. 20, pp. 14712–14725, May 2026. doi:10.1021/acs.est.5c13903

7. Ye Liu, Bing-Zhong Wang, Edmund Y. Lam, and Haiyan Ou, “Autofocus in digital holography with time reversal and depth-dependent sampling,” Optics Letters, vol. 51, no. 10, pp. 2736–2739, May 2026. doi:10.1364/OL.591504

8. Rongzhou Chen, Chutian Wang, Yuxing Li, Yuqing Cao, Shuo Zhu, and Edmund Y. Lam, “Self-calibrated neuromorphic hyperspectral derivative imaging,” Optica, vol. 13, no. 4, pp. 587–590, April 2026. doi:10.1364/OPTICA.585766
   Cover Image with descriptions

9. Jingqian Wu, Peiqi Duan, Zongqiang Wang, Changwei Wang, Boxin Shi, and Edmund Y. Lam, “Dark-EvGS: Event camera as an eye for radiance field in the dark,” IEEE Transactions on Image Processing, vol. 35, pp. 3172–3185, March 2026. doi:10.1109/TIP.2026.3674360

10. Xiao Li, Zhenbo Ren, Ping Su, Ni Chen, Edmund Y. Lam, Ju Tang, Jianglei Di, and Jianlin Zhao, “Snapshot virtual refocusing and three-dimensional reconstruction for microscopy with sequential learning,” Advanced Imaging, vol. 3, no. 2, pp. A00007(1–14), March 2026. doi:10.3788/AI.2025.10027

11. Yunfei Tian, Shuo Li, Yanmin Zhu, Mohamed Elgendi, and Edmund Y. Lam, “Adaptive physiology-informed correction for reliable remote photoplethysmography heart-rate monitoring,” npj Digital Medicine, vol. 9, pp. 233(1–15), February 2026. doi:10.1038/s41746-026-02386-y

12. Jiahao Liu, Xue Dong, Huaide Lu, Tao Liu, Wei Liu, Xinyao Hu, Quan Meng, Amin Jiang, Tao Jiang, Xiaohan Geng, Haosen Liu, Jun Cheng, Edmund Y. Lam, Yan-Jun Liu, Shan Tan, and Dong Li, “Bio-friendly and high-precision super-resolution imaging through self-supervised reconstruction structured illumination microscopy,” Nature Methods, vol. 23, pp. 395–404, February 2026. doi:10.1038/s41592-025-02966-y

13. Jingyan Chen, Yaping Zhao, Yuxing Li, Yanmin Zhu, Yuqing Cao, and Edmund Y. Lam, “Snapshot HoloSpec: Dispersion-coded 4D feature learning for waterborne particle monitoring,” Journal of Physics: Photonics, vol. 8, no. 1, pp. 015051(1–12), February 2026. doi:10.1088/2515-7647/ae3c71
    Spotlight Series

14. Haitao Nie, Yaping Zhao, Yifei Zhang, Yanmin Zhu, Jingyan Chen, Yunfei Tian, and Edmund Y. Lam, “Metasurface-encoded single-pixel hyperspectral imaging,” Advanced Photonics Research, vol. 7, pp. 1(1–10), January 2026. doi:10.1002/adpr.202500181
    Invited Paper

15. Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siewchong Tan, Edmund Y. Lam, and Ngai Wong, “CAT: Enhancing 3D annotations with hierarchical-interleaved encoding and attention-conditioned implicit representation,” International Journal of Computer Vision, vol. 134, pp. 71(1–21), January 2026. doi:10.1007/s11263-025-02704-z

16. Jingqian Wu, Chutian Wang, Shuo Zhu, Yunfei Tian, and Edmund Y. Lam, “All-in-focus Fourier ptychography microscopy via 3D implicit neural representation,” Advanced Devices and Instrumentation, vol. 6, pp. 0133(1–9), December 2025. doi:10.34133/adi.0133
    Invited Paper

17. Jingqian Wu, Shuo Zhu, Chutian Wang, Boxin Shi, and Edmund Y. Lam, “SweepEvGS: Event-based 3D Gaussian splatting for macro and micro radiance field rendering from a single sweep,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 35, no. 12, pp. 12734–12746, December 2025. doi:10.1109/TCSVT.2025.3583735

18. Shuo Zhu, Qianfeng Yin, Chutian Wang, Jianqing Huang, and Edmund Y. Lam, “Ultrafast dynamic defect inspection with computational neuromorphic imaging,” Advanced Science, vol. 12, no. 44, pp. e10338(1–11), November 2025. doi:10.1002/advs.202510338

19. Ruiwei Xu, Haiyan Ou, and Edmund Y. Lam, “Defocus and speckle noise suppression in optical scanning holography,” Optics and Laser Technology, vol. 190, pp. 113246(1–9), November 2025. doi:10.1016/j.optlastec.2025.113246

20. Thiel Lee, Evelyn H. Y. Cheung, Kelvin C. M. Lee, Dickson M. D. Siu, Michelle C. K. Lo, Edmund Y. Lam, Ruchi Goswami, Salvatore Girardo, Kyoohyun Kim, Felix Reichel, Marketa Kubankova, Martin Kräter, Jochen Guck and Kevin K. Tsia, “High-throughput multimodal optofluidic biophysical imaging cytometry,” Lab on a Chip, vol. 25, no. 20, pp. 5329–5341, October 2025. doi:10.1039/D5LC00381D

21. Wenjun Zhang, Shuo Zhu, Lijia Chen, Lianfa Bai, Edmund Y. Lam, Enlai Guo, and Jing Han, “High-resolution and real-time non-line-of-sight imaging based on spatial correlation,” Optics and Lasers in Engineering, vol. 193, pp. 109100(1–11), October 2025. doi:10.1016/j.optlaseng.2025.109100

22. Bozhen Zhou, Zhitao Hao, Zhenbo Ren, Edmund Y. Lam, Jianshe Ma, and Ping Su, “Learning from better simulation: Creating highly realistic synthetic data for deep learning in scattering media,” Advanced Photonics Nexus, vol. 4, no. 5, pp. 056007(1–12), September/October 2025. doi:10.1117/1.APN.4.5.056007

23. Jie Liu, Ye Liu, Haiyan Ou, and Edmund Y. Lam, “Efficient autofocusing in digital holography using the Tanimoto coefficient,” Optics Letters, vol. 50, no. 17, pp. 5342–5345, September 2025. doi:10.1364/OL.569530

24. Yingyu Bao, Yuen-Wa Ho, Zhiyong Shen, Edmund Y. Lam, James K.H. Fang, Kenneth M.Y. Leung, and Patrick K.H. Lee, “Ecological roles and shared microbes differentiate the plastisphere from natural particle-associated microbiomes in urban rivers,” Environmental Science and Technology, vol. 59, no. 32, pp. 17298–17309, August 2025. doi:10.1021/acs.est.5c06538

25. Bahram Javidi, Artur Carnicer, Kavan Ahmadi, Yasuhiro Awatsuji, Wen Chen, Thierry Fournel, Patrice Genevet, Jingying Guo, Wenqi He, Mathieu Hébert, Aloke Jana, Edmund Y. Lam, Gui-Lu Long, Osamu Matoba, Zhaoke Mi, Inkyu Moon, Naveen K. Nishchal, Dong Pan, Xiang Peng, Pepijn W. H. Pinkse, Yishi Shi, Guohai Situ, Adrian Stern, Xiaogang Wang, Tian Xia, Yin Xiao, Xie Zhenwei, and Shuo Zhu, “Roadmap on Optics and Photonics for Security and Encryption,” IEEE Access, vol. 13, pp. 140087–140117, August 2025. doi:10.1109/ACCESS.2025.3597226

26. Zhenyu Yang, Zhongning Jiang, Haisong Lin, Xiaoxue Fan, Changjin Wu, Edmund Y. Lam, Hayden K.H. So, and Ho Cheung Shum, “CeyeHao: AI-driven microfluidic flow programming with hierarchically assembled obstacles and receptive field–augmented neural network,” Science Advances, vol. 11, no. 31, pp. eadx2826(1–14), August 2025. doi:10.1126/sciadv.adx2826

27. Wenjun Zhang, Shuo Zhu, Lijia Chen, Lingfeng Liu, Lianfa Bai, Edmund Y. Lam, Enlai Guo, and Jing Han, “Sub-pixel resolving modulation for non-line-of-sight imaging,” Optics Express, vol. 33, no. 14, pp. 30783–30798, July 2025. doi:10.1364/OE.569102

28. Ni Chen, Yang Wu, Chao Tan, Liangcai Cao, Jun Wang, and Edmund Y. Lam, “Uncertainty-aware Fourier ptychography,” Light: Science and Applications, vol. 14, pp. 236(1–16), July 2025. doi:10.1038/s41377-025-01915-w

29. Ni Chen, David J. Brady, and Edmund Y. Lam, “Differentiable imaging: Progress, challenges, and outlook,” Advanced Devices and Instrumentation, vol. 6, pp. 0117(1–17), July 2025. doi:10.34133/adi.0117

30. Li Song, Kaiqiang Wang, Shuo Zhu, Zhenbo Ren, and Edmund Y. Lam, “Ptychographic image reconstruction with a phase-assisted alternating direction method of multipliers,” Optics Letters, vol. 50, no. 9, pp. 2816–2819, May 2025. doi:10.1364/OL.553571

31. Yiheng Liu, Xinsheng Li, Ziheng Jin, Wenwu Chen, Edmund Y. Lam, Shijie Feng, Qian Chen, and Chao Zuo, “Multimodal adaptive temporal phase unwrapping using deep learning and physical priors,” APL Photonics, vol. 10, no. 4, pp. 046104(1–13), April 2025. doi:10.1063/5.0252363

32. Jianqing Huang, Shuo Zhu, Yuxing Li, Chutian Wang, and Edmund Y. Lam, “Computational polarized holography for automatic monitoring of microplastics in scattering aquatic environments,” APL Photonics, vol. 10, no. 3, pp. 036114(1–12), March 2025. doi:10.1063/5.0245936

33. Jingqian Wu, Rongtao Xu, Zach Wood-Doughty, Changwei Wang, Shibiao Xu, and Edmund Y. Lam, “Segment anything model is a good teacher for local feature learning,” IEEE Transactions on Image Processing, vol. 34, pp. 2097–2111, March 2025. doi:10.1109/TIP.2025.3554033

34. Zhou Ge, Chutian Wang, Jianqing Huang, and Edmund Y. Lam, “Event-driven neuromorphic holography for dynamic particle imaging,” Optics Letters, vol. 50, no. 5, pp. 1496–1499, March 2025. doi:10.1364/OL.548088

35. Chutian Wang, Shuo Zhu, Pei Zhang, Kaiqiang Wang, Jianqing Huang, and Edmund Y. Lam, “Angle-based neuromorphic wave normal sensing,” Laser and Photonics Reviews, vol. 19, no. 4, pp. 2400647(1–13), February 2025. doi:10.1002/lpor.202400647

36. Pei Zhang, Shuo Zhu, Chutian Wang, Yaping Zhao, and Edmund Y. Lam, “Neuromorphic imaging with super-resolution,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 35, no. 2, pp. 1715–1727, February 2025. doi:10.1109/TCSVT.2024.3482436

37. Ni Chen and Edmund Y. Lam, “Differentiable pixel-super-resolution lensless imaging,” Optics Letters, vol. 50, no. 4, pp. 1180–1183, February 2025. doi:10.1364/OL.552086

38. Yunping Zhang and Edmund Y. Lam, “Robust holographic imaging for real-world applications with joint optimization,” Optics Express, vol. 33, no. 3, pp. 5932–5944, February 2025. doi:10.1364/OE.550046

39. Ziyang Liu, Tianjiao Zeng, Xu Zhan, Xiaoling Zhang, and Edmund Y. Lam, “Generative approach for lensless imaging in low-light conditions,” Optics Express, vol. 33, no. 2, pp. 3021–3039, January 2025. doi:10.1364/OE.544875

40. Wenjun Zhang, Enlai Guo, Shuo Zhu, Chenyang Huang, Lijia Chen, Lingfeng Liu, Lianfa Bai, Edmund Y. Lam, and Jing Han, “Real-time scan-free non-line-of-sight imaging,” APL Photonics, vol. 9, no. 12, pp. 126101(1–15), December 2024. doi:10.1063/5.0235687

41. Truong Thanh Nhat Mai, Edmund Y. Lam, and Chul Lee, “Attention-guided low-rank tensor completion,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 12, pp. 9818–9833, December 2024. doi:10.1109/TPAMI.2024.3429498

42. Jianqing Huang, Hecong Liu, Shuo Zhu, Yingzheng Liu, Edmund Y. Lam, and Weiwei Cai, “Computational flow visualization to reveal hidden properties of complex flow with optical and computational methods,” Cell Reports Physical Science, vol. 5, no. 11, pp. 102282(1–21), November 2024. doi:10.1016/j.xcrp.2024.102282

43. Yanmin Zhu, Yuxing Li, Jianqing Huang, Yunping Zhang, Yuen-Wa Ho, James Kar-Hei Fang, and Edmund Y. Lam, “Advanced optical imaging technologies for microplastics identification: Progress and challenges,” Advanced Photonics Research, vol. 5, no. 11, pp. 2400038(1–22), November 2024. doi:10.1002/adpr.202400038

44. Shaopeng Xu, Qi Wang, Jia-Yong Lao, Yaru Cao, Pei Hong, Chong Chen, Edmund Y. Lam, James Kar-Hei Fang, Seokhwan Lee, and Kenneth M.Y. Leung, “Typical tire additives in river water: Leaching, transformation, and environmental risk assessment,” Environmental Science and Technology, vol. 58, no. 42, pp. 18940–18949, October 2024. doi:10.1021/acs.est.4c05449

45. Kaiqiang Wang and Edmund Y. Lam, “Deep learning phase recovery: data-driven, physics-driven, or a combination of both?” Advanced Photonics Nexus, vol. 3, no. 5, pp. 056006(1–12), September/October 2024. doi:10.1117/1.APN.3.5.056006
    Editors' Pick and Author Presentation

46. Shuo Zhu, Chutian Wang, Jianqing Huang, Pei Zhang, Jing Han, and Edmund Y. Lam, “Neuromorphic encryption: Combining speckle correlography and event data for enhanced security,” Advanced Photonics Nexus, vol. 3, no. 5, pp. 056002(1–10), September/October 2024. doi:10.1117/1.APN.3.5.056002

47. Yaping Zhao, Jichang Zhao, and Edmund Y. Lam, “House price prediction: A multi-source data fusion perspective,” Big Data Mining and Analytics, vol. 7, no. 3, pp. 603–620, September 2024. doi:10.26599/BDMA.2024.9020019

48. Shansi Zhang, Yaping Zhao, and Edmund Y. Lam, “Semi-supervised semantic segmentation for light field images using disparity information,” IEEE Transactions on Image Processing, vol. 33, pp. 4516–4528, August 2024. doi:10.1109/TIP.2024.3441930

49. Shobana V. Stassen, Minato Kobashi, Edmund Y. Lam, Yuanhua Huang, Joshua W.K. Ho, and Kevin K. Tsia, “StaVia: Spatially and temporally aware cartography with higher order random walks for cell atlases,” Genome Biology, vol. 25, pp. 224(1–30), August 2024. doi:10.1186/s13059-024-03347-y

50. Yuxing Li, Pak Wing Chiu, Vincent Tam, Allie Lee, and Edmund Y. Lam, “Dual-mode imaging system for early detection and monitoring of ocular surface diseases,” IEEE Transactions on Biomedical Circuits and Systems, vol. 18, no. 4, pp. 783–798, August 2024. doi:10.1109/TBCAS.2024.3411713

51. Shuo Zhu, Zhou Ge, Chutian Wang, Jing Han, and Edmund Y. Lam, “Efficient non-line-of-sight tracking with computational neuromorphic imaging,” Optics Letters, vol. 49, no. 13, pp. 3584–3587, July 2024. doi:10.1364/OL.530066

52. Peiyan Guan and Edmund Y. Lam, “Progressive self-supervised pretraining for hyperspectral image classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 5517713(1–13), May 2024. doi:10.1109/TGRS.2024.3397740

53. Yunping Zhang, Xihui Liu, and Edmund Y. Lam, “Single-shot inline holography using a physics-aware diffusion model: errata,” Optics Express, vol. 32, no. 11, pp. 18742–18743, May 2024. doi:10.1364/OE.525947

54. Truong Thanh Nhat Mai, Edmund Y. Lam, and Chul Lee, “Deep unfolding tensor rank minimization with generalized detail injection for pansharpening,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 5405218(1–18), April 2024. doi:10.1109/TGRS.2024.3392215

55. Shansi Zhang and Edmund Y. Lam, “Light field image restoration via latent diffusion and multi-view attention,” IEEE Signal Processing Letters, vol. 31, pp. 1094–1098, April 2024. doi:10.1109/LSP.2024.3383798

56. Shansi Zhang, Nan Meng, and Edmund Y. Lam, “Unsupervised light field depth estimation via multi-view feature matching with occlusion prediction,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 4, pp. 2261–2273, April 2024. doi:10.1109/TCSVT.2023.3305978

57. Pei Zhang, Haosen Liu, Zhou Ge, Chutian Wang, and Edmund Y. Lam, “Neuromorphic imaging with joint image deblurring and event denoising,” IEEE Transactions on Image Processing, vol. 33, pp. 2318–2333, March 2024. doi:10.1109/TIP.2024.3374074

58. Yunping Zhang, Xihui Liu, and Edmund Y. Lam, “Single-shot inline holography using a physics-aware diffusion model,” Optics Express, vol. 32, no. 6, pp. 10444–10460, March 2024. doi:10.1364/OE.517233

59. Haosen Liu and Edmund Y. Lam, “Joint optimization of splitter pattern and image reconstruction for metasurface-based color imaging systems,” Optics and Laser Technology, vol. 170, pp. 110265(1–8), March 2024. doi:10.1016/j.optlastec.2023.110265

60. Yanmin Zhu, Yuxing Li, Jianqing Huang, and Edmund Y. Lam, “Smart polarization and spectroscopic holography for real-time microplastics identification,” Communications Engineering, vol. 3, pp. 32(1–8), February 2024. doi:10.1038/s44172-024-00178-4

61. Pei Zhang, Shuo Zhu, and Edmund Y. Lam, “Event encryption: rethinking privacy exposure for neuromorphic imaging,” Neuromorphic Computing and Engineering, vol. 4, no. 1, pp. 014002(1–8), January 2024. doi:10.1088/2634-4386/ad207b

62. Yuxing Li, Yanmin Zhu, Jianqing Huang, Yuen-Wa Ho, James Kar-Hei Fang, and Edmund Y. Lam, “High-throughput microplastic assessment using polarization holographic imaging,” Scientific Reports, vol. 14, pp. 2355(1–11), January 2024. doi:10.1038/s41598-024-52762-5
    Part of Holography collection

63. Kaiqiang Wang, Li Song, Chutian Wang, Zhenbo Ren, Guangyuan Zhao, Jiazhen Dou, Jianglei Di, George Barbastathis, Renjie Zhou, Jianlin Zhao, and Edmund Y. Lam, “On the use of deep learning for phase recovery,” Light: Science and Applications, vol. 13, pp. 4(1–46), January 2024. doi:10.1038/s41377-023-01340-x
    Cover Paper and 2024 Editors' Highlight

    Top Download in Year 2024 and 2025

64. Pei Zhang, Chutian Wang, and Edmund Y. Lam, “Neuromorphic imaging and classification with graph learning,” Neurocomputing, vol. 565, pp. 127010(1–9), January 2024. doi:10.1016/j.neucom.2023.127010

65. Wei Yin, Yuxuan Che, Xinsheng Li, Mingyu Li, Yan Hu, Shijie Feng, Edmund Y. Lam, Qian Chen, and Chao Zuo, “Physics-informed deep learning for fringe pattern analysis,” Opto-Electronic Advances, vol. 7, no. 1, pp. 230034(1–12), January 2024. doi:10.29026/oea.2024.230034
    Cover Paper

66. Jianqing Huang, Yanmin Zhu, Yuxing Li, and Edmund Y. Lam, “Snapshot polarization-sensitive holography for detecting microplastics in turbid water,” ACS Photonics, vol. 10, no. 12, pp. 4483–4493, December 2023. doi:10.1021/acsphotonics.3c01350

67. Haiyan Ou, Yong Wu, Kun Zhu, Edmund Y. Lam, and Bing-Zhong Wang, “Suppressing defocus noise with U-net in optical scanning holography,” Chinese Optics Letters, vol. 21, no. 8, pp. 080501(1–9), August 2023. doi:10.3788/COL202321.080501

68. Shansi Zhang, Nan Meng, and Edmund Y. Lam, “LRT: An efficient low-light restoration transformer for dark light field images,” IEEE Transactions on Image Processing, vol. 32, pp. 4314–4326, July 2023. doi:10.1109/TIP.2023.3297412

69. Haoyu Wei, Xin Liu, Xiang Hao, Edmund Y. Lam, and Yifan Peng, “Modeling off-axis diffraction with the least-sampling angular spectrum method,” Optica, vol. 10, no. 7, pp. 959–962, July 2023. doi:10.1364/OPTICA.490223
    Top Downloads in Optica (Jul 23 | Aug 23)

70. Ni Chen, Liangcai Cao, Ting-Chung Poon, Byoungho Lee, and Edmund Y. Lam, “Differentiable imaging: A new tool for computational optical imaging,” Advanced Physics Research, vol. 2, no. 6, pp. 2200118(1–11), June 2023. doi:10.1002/apxr.202200118

71. Pei Zhang, Zhou Ge, Li Song, and Edmund Y. Lam, “Neuromorphic imaging with density-based spatiotemporal denoising,” IEEE Transactions on Computational Imaging, vol. 9, pp. 530–541, May 2023. doi:10.1109/TCI.2023.3281202

72. Yunping Zhang, Stanley H. Chan, and Edmund Y. Lam, “Photon-starved snapshot holography,” APL Photonics, vol. 8, no. 5, pp. 056106(1–13), May 2023. doi:10.1063/5.0145833
    Highlighted as a Scilight in the May 2023 issue of APL Photonics

73. Xinming Guo, Yixuan Li, Jiaming Qian, Yuxuan Che, Chao Zuo, Qian Chen, Edmund Y. Lam, Huai Wang, and Shijie Feng, “Unifying temporal phase unwrapping framework using deep learning,” Optics Express, vol. 31, no. 10, pp. 16659–16675, May 2023. doi:10.1364/OE.488597

74. Ziqi Zhang, Kelvin C.M. Lee, Dickson M.D. Siu, Michelle C.K. Lo, Queenie T.K. Lai, Edmund Y. Lam, and Kevin K. Tsia, “Morphological profiling by high-throughput single-cell biophysical fractometry,” Communications Biology, vol. 6, pp. 449(1–13), April 2023. doi:10.1038/s42003-023-04839-6

75. Li Song and Edmund Y. Lam, “Phase retrieval with a dual recursive scheme,” Optics Express, vol. 31, no. 6, pp. 10386–10400, March 2023. doi:10.1364/OE.484649

76. Huade Mao, Yue Yu, Yu-Xuan Ren, Ka Yan Chan, Jiqiang Kang, Xiankai Sun, Edmund Y. Lam, and Kenneth K.Y. Wong, “Neural optimizer for inverse design of complex-modulated hologram implemented by plasmonic metasurfaces,” Advanced Photonics Research, vol. 4, no. 1, pp. 2200085(1–7), January 2023. doi:10.1002/adpr.202200085

77. Boyi Huang, Jia Li, Bowen Yao, Zhigang Yang, Edmund Y. Lam, Jia Zhang, Wei Yan, and Junle Qu, “Enhancing image resolution of confocal fluorescence microscopy with deep learning,” PhotoniX, vol. 4, pp. 2(1–22), January 2023. doi:10.1186/s43074-022-00077-x
    Highlighted in the article ‘‘Microscopy's Cutting Edge'' in the April 2023 issue of Optics and Photonics News

78. Zhou Ge, Haoyu Wei, Feng Xu, Yizhao Gao, Zhiqin Chu, Hayden K.-H. So, and Edmund Y. Lam, “Millisecond autofocusing microscopy using neuromorphic event sensing,” Optics and Lasers in Engineering, vol. 160, pp. 107247(1–9), January 2023. doi:10.1016/j.optlaseng.2022.107247

79. Linpeng Lu, Jiaji Li, Yefeng Shu, Jiasong Sun, Jie Zhou, Edmund Y. Lam, Qian Chen, and Chao Zuo, “Hybrid brightfield and darkfield transport of intensity approach for high-throughput quantitative phase microscopy,” Advanced Photonics, vol. 4, no. 5, pp. 056002(1–12), September 2022. doi:10.1117/1.AP.4.5.056002

80. Truong Thanh Nhat Mai, Edmund Y. Lam, and Chul Lee, “Deep unrolled low-rank tensor completion for high dynamic range imaging,” IEEE Transactions on Image Processing, vol. 31, pp. 5744–5787, September 2022. doi:10.1109/TIP.2022.3201708

81. Zhenxing Zhou, Vincent W.L. Tam, and Edmund Y. Lam, “A cross-attention BERT-based framework for continuous sign language recognition,” IEEE Signal Processing Letters, vol. 29, pp. 1818–1822, August 2022. doi:10.1109/LSP.2022.3199665

82. Yanmin Zhu, Hau Kwan Abby Lo, Chok Hang Yeung, and Edmund Y. Lam, “Microplastic pollution assessment with digital holography and zero-shot learning,” APL Photonics, vol. 7, no. 7, pp. 076102(1–10), July 2022. doi:10.1063/5.0093439

83. Li Song and Edmund Y. Lam, “Iterative phase retrieval with a sensor mask,” Optics Express, vol. 30, no. 14, pp. 25788–25802, July 2022. doi:10.1364/OE.461367

84. Peiyan Guan and Edmund Y. Lam, “Cross-domain contrastive learning for hyperspectral image classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 5528913(1–13), May 2022. doi:10.1109/TGRS.2022.3176637

85. Chang Liu, Xiaojuan Qi, Edmund Y. Lam, and Ngai Wong, “Fast classification and action recognition with event-based imaging,” IEEE Access, vol. 10, pp. 55638–55649, May 2022. doi:10.1109/ACCESS.2022.3177744

86. Li Song, Zhou Ge, and Edmund Y. Lam, “Dual alternating direction method of multipliers for inverse imaging,” IEEE Transactions on Image Processing, vol. 31, pp. 3295–3308, April 2022. doi:10.1109/TIP.2022.3167915

87. Li Song and Edmund Y. Lam, “Fast and robust phase retrieval for masked coherent diffractive imaging,” Photonics Research, vol. 10, no. 3, pp. 758–768, March 2022. doi:10.1364/PRJ.447862

88. Zhenxing Zhou, Vincent W.L. Tam, and Edmund Y. Lam, “A portable sign language collection and translation platform with smart watches using a BLSTM-based multi-feature framework,” Micromachines, vol. 13, no. 2, pp. 333(1–15), February 2022. doi:10.3390/mi13020333

89. Yunping Zhang, Yanmin Zhu, and Edmund Y. Lam, “Holographic 3D particle reconstruction using a one-stage network,” Applied Optics, vol. 61, no. 5, pp. B111–B120, February 2022. doi:10.1364/AO.444856

90. Peiyan Guan and Edmund Y. Lam, “Multistage dual-attention guided fusion network for hyperspectral pansharpening,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 5515214(1–14), January 2022. doi:10.1109/TGRS.2021.3114552

91. Linxia Zhang, Edmund Y. Lam, and Jun Ke, “Temporal compressive imaging reconstruction based on a 3D-CNN network,” Optics Express, vol. 30, no. 3, pp. 3577–3591, January 2022. doi:10.1364/OE.448490

92. Zhou Ge, Pei Zhang, Yizhao Gao, Hayden K.-H. So, and Edmund Y. Lam, “Lens-free motion analysis via neuromorphic laser speckle imaging,” Optics Express, vol. 30, no. 2, pp. 2206–2218, January 2022. doi:10.1364/OE.444948

93. Zhenxing Zhou, Vincent W.L. Tam, and Edmund Y. Lam, “SignBERT: A BERT-based deep learning framework for continuous sign language recognition,” IEEE Access, vol. 9, pp. 161669–161682, December 2021. doi:10.1109/ACCESS.2021.3132668

94. Yanmin Zhu, Tianjiao Zeng, Kewei Liu, Zhenbo Ren, and Edmund Y. Lam, “Full scene underwater imaging with polarization and an untrained network,” Optics Express, vol. 29, no. 25, pp. 41865–41881, December 2021. doi:10.1364/OE.444755
    Top Downloads in Optics Express (Dec 21)

95. Shansi Zhang and Edmund Y. Lam, “An effective decomposition-enhancement method to restore light field images captured in the dark,” Signal Processing, vol. 189, pp. 108279(1–11), December 2021. doi:10.1016/j.sigpro.2021.108279

96. Tianjiao Zeng, Yanmin Zhu, and Edmund Y. Lam, “Deep learning for digital holography: a review,” Optics Express, vol. 29, no. 24, pp. 40572–40593, November 2021. doi:10.1364/OE.443367
    Top Downloads in Optics Express (Nov 21)

97. Zhou Ge, Yizhao Gao, Hayden K.-H. So, and Edmund Y. Lam, “Event-based laser speckle correlation for micro motion estimation: erratum,” Optics Letters, vol. 46, no. 20, pp. 5083, October 2021. doi:10.1364/OL.442448

98. Shansi Zhang and Edmund Y. Lam, “Learning to restore light fields under low-light imaging,” Neurocomputing, vol. 456, pp. 76–87, October 2021. doi:10.1016/j.neucom.2021.05.074

99. Tianjiao Zeng and Edmund Y. Lam, “Robust reconstruction with deep learning to handle model mismatch in lensless imaging,” IEEE Transactions on Computational Imaging, vol. 7, pp. 1080–1092, September 2021. doi:10.1109/TCI.2021.3114542

100. Pei Zhang and Edmund Y. Lam, “From local to global: Efficient dual attention mechanism for single image super-resolution,” IEEE Access, vol. 9, pp. 114957–114964, August 2021. doi:10.1109/ACCESS.2021.3105726

101. Zhou Ge, Yizhao Gao, Hayden K.-H. So, and Edmund Y. Lam, “Event-based laser speckle correlation for micro motion estimation,” Optics Letters, vol. 46, no. 16, pp. 3885–3888, August 2021. doi:10.1364/OL.430419

102. Zhenbo Ren, Peiyan Guan, Edmund Y. Lam, and Jianlin Zhao, “Extended focused imaging in microscopy using structure tensor and guided filtering,” Optics and Lasers in Engineering, vol. 140, pp. 106549(1–9), May 2021. doi:10.1016/j.optlaseng.2021.106549

103. Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam, “Microplastic pollution monitoring with holographic classification and deep learning,” Journal of Physics: Photonics, vol. 3, no. 2, pp. 024013(1–12), April 2021. doi:10.1088/2515-7647/abf250
     Invited Paper for the Focus on Computational Imaging and Artificial Intelligence

104. Nan Meng, Kai Li, Jianzhuang Liu, and Edmund Y. Lam, “Light field view synthesis via aperture disparity and warping confidence map,” IEEE Transactions on Image Processing, vol. 30, pp. 3908–3921, March 2021. doi:10.1109/TIP.2021.3066293

105. Nan Meng, Hayden K.-H. So, Xing Sun, and Edmund Y. Lam, “High-dimensional dense residual convolutional neural network for light field reconstruction,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 3, pp. 873–886, March 2021. doi:10.1109/TPAMI.2019.2945027

106. Jun Ke, Linxia Zhang, Qun Zhou, and Edmund Y. Lam, “Broad dual-band temporal compressive imaging with optical calibration,” Optics Express, vol. 29, no. 4, pp. 5710–5729, February 2021. doi:10.1364/OE.415271

107. Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam, “Digital holographic imaging and classification of microplastics using deep transfer learning,” Applied Optics, vol. 60, no. 4, pp. A38–A47, February 2021. doi:10.1364/AO.403366
     Among 15 most cited articles in the journal between 2020 and 2022

108. Zhou Ge, Nan Meng, Li Song, and Edmund Y. Lam, “Dynamic laser speckle analysis using the event sensor,” Applied Optics, vol. 60, no. 1, pp. 172–178, January 2021. doi:10.1364/AO.412601
     Editors' Pick

109. Ryan K.Y. Chan, Hongsen He, Yu-Xuan Ren, Cora S.W. Lai, Edmund Y. Lam, and Kenneth K. Y. Wong, “Axially resolved volumetric two-photon microscopy with an extended field of view using depth localization under mirrored Airy beams,” Optics Express, vol. 28, no. 26, pp. 39563–39573, December 2020. doi:10.1364/OE.412453

110. Zhenbo Ren, Edmund Y. Lam, and Jianlin Zhao, “Real-time target detection in visual sensing environments using deep transfer learning and improved anchor box generation,” IEEE Access, vol. 8, pp. 193512–193522, October 2020. doi:10.1109/ACCESS.2020.3032955

111. Yulong Fan, Yunkun Xu, Meng Qiu, Wei Jin, Lei Zhang, Edmund Y. Lam, Din Ping Tsai, and Dangyuan Lei, “Phase-controlled metasurface design via optimized genetic algorithm,” Nanophotonics, vol. 9, no. 12, pp. 3931–3939, September 2020. doi:10.1515/nanoph-2020-0132

112. Nan Meng, Zhou Ge, Tianjiao Zeng, and Edmund Y. Lam, “LightGAN: A deep generative model for light field reconstruction,” IEEE Access, vol. 8, pp. 116052–116063, June 2020. doi:10.1109/ACCESS.2020.3004477

113. Zhimin Xu, Si Zuo, Edmund Y. Lam, Byoungho Lee, and Ni Chen, “AutoSegNet: An automated neural network for image segmentation,” IEEE Access, vol. 8, pp. 92452–92461, May 2020. doi:10.1109/ACCESS.2020.2995367

114. Zhenbo Ren, Edmund Y. Lam, and Jianlin Zhao, “Acceleration of autofocusing with improved edge extraction using structure tensor and Schatten norm,” Optics Express, vol. 28, no. 10, pp. 14712–14728, May 2020. doi:10.1364/OE.392544

115. Ni Chen, Edmund Y. Lam, T.-C. Poon, and Byoungho Lee, “Sectional hologram reconstruction through complex deconvolution,” Optics and Lasers in Engineering, vol. 127, pp. 105945(1–6), April 2020. doi:10.1016/j.optlaseng.2019.105945

116. Tianjiao Zeng, Hayden K.-H. So, and Edmund Y. Lam, “RedCap: residual encoder-decoder capsule network for holographic image reconstruction,” Optics Express, vol. 28, no. 4, pp. 4876–4887, February 2020. doi:10.1364/OE.383350
     A top-downloaded article on deep learning in Optics Express in 2020

117. Zhenbo Ren and Edmund Y. Lam, “Progress in optical scanning holography,” Acta Optica Sinica, vol. 40, no. 1, pp. 0111009(1–11), January 2020. doi:10.3788/AOS202040.0111009

118. Zhenhua Zhou, Edmund Y. Lam, and Chul Lee, “Nonlocal means filtering based speckle removal utilizing the maximum a posteriori estimation and the total variation image prior,” IEEE Access, vol. 7, pp. 99231–99243, December 2019. doi:10.1109/ACCESS.2019.2929364

119. Zhenbo Ren, Jianlin Zhao, and Edmund Y. Lam, “Automatic compensation of phase aberrations in digital holographic microscopy based on sparse optimization,” APL Photonics, vol. 4, no. 11, pp. 110808(1–10), November 2019. doi:10.1063/1.5115079

120. Zhenbo Ren, Hayden K.-H. So, and Edmund Y. Lam, “Fringe pattern improvement and super-resolution using deep learning in digital holography,” IEEE Transactions on Industrial Informatics, vol. 15, no. 11, pp. 6179–6186, November 2019. doi:10.1109/TII.2019.2913853

121. Chi-Un Lei, Cheuk-Wang Yau, K.-S. Lui, Vincent Tam, Allan H.-K. Yuen, and Edmund Y. Lam, “Designing instructional videos and classwork activities: Teaching internet of things via flipped classroom,” International Journal of Mobile Learning and Organisation, vol. 13, no. 4, pp. 392–411, October 2019. doi:10.1504/IJMLO.2019.10021920

122. Kevin C. Tse, Hon-Chim Chiu, Man-Yin Tsang, Yiliang Li, and Edmund Y. Lam, “An unsupervised learning approach to study synchroneity of past events in the South China Sea,” Frontiers of Earth Science, vol. 13, no. 3, pp. 628–640, September 2019. doi:10.1007/s11707-019-0748-x

123. Nan Meng, Edmund Y. Lam, Kevin K. Tsia, and Hayden K.-H. So, “Large-scale multi-class image-based cell classification with deep learning,” IEEE Journal of Biomedical and Health Informatics, vol. 23, no. 5, pp. 2091–2098, September 2019. doi:10.1109/JBHI.2018.2878878

124. Runbin Shi, Justin S.J. Wong, Edmund Y. Lam, Kevin K. Tsia, and Hayden K.-H. So, “A real-time coprime line scan super-resolution system for ultra-fast microscopy,” IEEE Transactions on Biomedical Circuits and Systems, vol. 13, no. 4, pp. 781–792, August 2019. doi:10.1109/TBCAS.2019.2914946

125. Richard Du, Victor H. Lee, Hui Yuan, Ka-On Lam, Herbert H. Pang, Yu Chen, Edmund Y. Lam, Pek-Lan Khong, Anne W. Lee, Dora L. Kwong, and Varut Vardhanabhuti, “Radiomics model to predict early progression of nonmetastatic nasopharyngeal carcinoma after intensity modulation radiation therapy: A multicenter study,” Radiology: Artificial Intelligence, vol. 1, no. 4, pp. e180075(1–11), July 2019. doi:10.1148/ryai.2019180075

126. Qun Zhou, Jun Ke, and Edmund Y. Lam, “Near-infrared temporal compressive imaging for video,” Optics Letters, vol. 44, no. 7, pp. 1702–1705, April 2019. doi:10.1364/OL.44.001702

127. Tianjiao Zeng, Hayden K.-H. So, and Edmund Y. Lam, “Computational image speckle suppression using block matching and machine learning,” Applied Optics, vol. 58, no. 7, pp. B39–B45, March 2019. doi:10.1364/AO.58.000B39

128. Kevin C. Tse, Hon-Chim Chiu, Man-Yin Tsang, Yiliang Li, and Edmund Y. Lam, “Unsupervised learning on scientific ocean drilling datasets from the South China Sea,” Frontiers of Earth Science, vol. 13, no. 1, pp. 180–190, March 2019. doi:10.1007/s11707-018-0704-1

129. Nan Meng, Xing Sun, Hayden K.-H. So, and Edmund Y. Lam, “Computational light field generation using deep nonparametric Bayesian learning,” IEEE Access, vol. 7, pp. 24990–25000, February 2019. doi:10.1109/ACCESS.2019.2900153

130. Zhenbo Ren, Zhimin Xu, and Edmund Y. Lam, “End-to-end deep learning framework for digital holographic reconstruction,” Advanced Photonics, vol. 1, no. 1, pp. 016004(1–12), January 2019. doi:10.1117/1.AP.1.1.016004
     Highlighted as Editors' Pick in this first issue of the journal | Top Download in 2019 | SPIE news feature | Top Cited Article on Imaging and Sensing

131. Ni Chen, Chao Zuo, Edmund Y. Lam, and Byoungho Lee, “3D imaging based on depth measurement technologies,” Sensors, vol. 18, no. 11, pp. 3711(1–38), November 2018. doi:10.3390/s18113711

132. Jiqiang Kang, Pingping Feng, Bowen Li, Chi Zhang, Xiaoming Wei, Edmund Y. Lam, Kevin K. Tsia, and Kenneth K. Y. Wong, “Video-rate centimeter-range optical coherence tomography based on dual optical frequency combs by electro-optic modulators,” Optics Express, vol. 26, no. 19, pp. 24928–24939, September 2018. doi:10.1364/OE.26.024928

133. Ao Zhou, Wei Wang, Ni Chen, Edmund Y. Lam, Byoungho Lee, and Guohai Situ, “Fast and robust misalignment correction of Fourier ptychographic microscopy for full field of view reconstruction,” Optics Express, vol. 26, no. 18, pp. 23661–23674, September 2018. doi:10.1364/OE.26.023661

134. Fenghua Shi, Meng Qiu, Lei Zhang, Edmund Y. Lam, and Dang Yuan Lei, “Multiplane illumination enabled by Fourier-transform metasurfaces for high-speed light-sheet microscopy,” ACS Photonics, vol. 5, no. 5, pp. 1676–1684, May 2018. doi:10.1021/acsphotonics.7b01457

135. Haiyan Ou, Yong Wu, Edmund Y. Lam, and Bing-Zhong Wang, “New autofocus and reconstruction method based on a connected domain,” Optics Letters, vol. 43, no. 9, pp. 2201–2203, May 2018. doi:10.1364/OL.43.002201

136. Zhenbo Ren, Zhimin Xu, and Edmund Y. Lam, “Learning-based nonparametric autofocusing for digital holography,” Optica, vol. 5, no. 4, pp. 337–344, April 2018. doi:10.1364/OPTICA.5.000337

137. Chul Lee and Edmund Y. Lam, “Computationally efficient brightness compensation and contrast enhancement for transmissive liquid crystal displays,” Journal of Real-Time Image Processing, vol. 14, no. 4, pp. 733–741, April 2018. doi:10.1007/s11554-016-0665-0
     Springer Nature SharedIt

138. Jiqiang Kang, Pingping Feng, Xiaoming Wei, Edmund Y. Lam, Kevin K. Tsia, and Kenneth K. Y. Wong, “102-nm, 44.5-MHz inertial-free swept source by mode-locked fiber laser and time stretch technique for optical coherence tomography,” Optics Express, vol. 26, no. 4, pp. 4370–4381, February 2018. doi:10.1364/OE.26.004370

139. Haiyan Ou, Yong Wu, Edmund Y. Lam, and Bing-Zhong Wang, “Axial localization using time reversal multiple signal classification in optical scanning holography,” Optics Express, vol. 26, no. 4, pp. 3756–3771, February 2018. doi:10.1364/OE.26.003756

140. Jiqiang Kang, Cihang Kong, Pingping Feng, Xiaoming Wei, Zhi-Chao Luo, Edmund Y. Lam, and Kenneth K.Y. Wong, “Broadband high-energy all-fiber laser at 1.6um,” IEEE Photonics Technology Letters, vol. 30, no. 4, pp. 311–314, February 2018. doi:10.1109/LPT.2017.2786461

141. Zhenbo Ren, Ni Chen, and Edmund Y. Lam, “Automatic focusing for multisectional objects in digital holography using the structure tensor,” Optics Letters, vol. 42, no. 9, pp. 1720–1723, May 2017. doi:10.1364/OL.42.001720

142. Ni Chen, Zhenbo Ren, Dayan Li, Edmund Y. Lam, and Guohai Situ, “Analysis of the noise in backprojection light field acquisition and its optimization,” Applied Optics, vol. 56, no. 13, pp. F20–F26, May 2017. doi:10.1364/AO.56.000F20

143. Antony C.S. Chan, Ho-Cheung Ng, Sharat C.V. Bogaraju, Hayden K.-H. So, Edmund Y. Lam, and Kevin K. Tsia, “All-passive pixel super-resolution of time-stretch imaging,” Scientific Reports, vol. 7, pp. 44608(1–11), March 2017. doi:10.1038/srep44608

144. Chongguo Li, Nelson H.C. Yung, Xing Sun, and Edmund Y. Lam, “Human arm pose modeling with learned features using joint convolutional neural network,” Machine Vision and Applications, vol. 28, no. 1, pp. 1–14, February 2017. doi:10.1007/s00138-016-0796-0

145. Xing Sun, Nelson H.C. Yung, Edmund Y. Lam, and Hayden K.-H. So, “Computationally efficient hyperspectral data learning based on the doubly stochastic Dirichlet process,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 1, pp. 363–374, January 2017. doi:10.1109/TGRS.2016.2606575

146. Jiang-Lai Wu, Yi-Qing Xu, Jing-Jiang Xu, Xiao-Ming Wei, Antony C.S. Chan, Anson H.L. Tang, Andy K.S. Lau, Bob M.F. Chung, Ho Cheung Shum, Edmund Y. Lam, Kenneth K.Y. Wong, and Kevin K. Tsia, “Ultrafast laser-scanning time-stretch imaging at visible wavelengths,” Light: Science and Applications, vol. 6, pp. e16196(1–10), January 2017. doi:10.1038/lsa.2016.196
     Highlighted in Nature Photonics

147. Xing Sun, Nelson H.C. Yung, and Edmund Y. Lam, “Unsupervised tracking with the doubly stochastic Dirichlet process mixture model,” IEEE Transactions on Intelligent Transportation Systems, vol. 17, no. 9, pp. 2594–2599, September 2016. doi:10.1109/TITS.2016.2518212

148. Chul Lee and Edmund Y. Lam, “Computationally efficient truncated nuclear norm minimization for high dynamic range imaging,” IEEE Transactions on Image Processing, vol. 25, no. 9, pp. 4145–4157, September 2016. doi:10.1109/TIP.2016.2585047

149. Antony C.S. Chan, Kevin K. Tsia, and Edmund Y. Lam, “Subsampled scanning holographic imaging (SuSHI) for fast, non-adaptive recording of three-dimensional objects,” Optica, vol. 3, no. 8, pp. 911–917, August 2016. doi:10.1364/optica.3.000911

150. Jun Ke and Edmund Y. Lam, “Fast compressive measurements acquisition using optimized binary sensing matrices for low-light-level imaging,” Optics Express, vol. 24, no. 9, pp. 9869–9887, May 2016. doi:10.1364/OE.24.009869

151. Ni Chen, Zhenbo Ren, and Edmund Y. Lam, “High-resolution Fourier hologram synthesis from photographic images through computing the light field,” Applied Optics, vol. 55, no. 7, pp. 1751–1756, March 2016. doi:10.1364/AO.55.001751
     Top Downloaded Article on Imaging Systems from Applied Optics and Optics Express in 2015-16

152. Zhenbo Ren, Ni Chen, and Edmund Y. Lam, “Extended focused imaging and depth map reconstruction in optical scanning holography,” Applied Optics, vol. 55, no. 5, pp. 1040–1047, February 2016. doi:10.1364/AO.55.001040
     Among 15 most cited articles in the journal between 2016 and 2018

153. Ni Chen, Zhenbo Ren, Haiyan Ou, and Edmund Y. Lam, “Resolution enhancement of optical scanning holography with a spiral modulated point spread function,” Photonics Research, vol. 4, no. 1, pp. 1–6, February 2016. doi:10.1364/PRJ.4.000001

154. Antony C.S. Chan, Andy K.S. Lau, Kenneth K.Y. Wong, Edmund Y. Lam, and Kevin K. Tsia, “Arbitrary two-dimensional spectrally encoded pattern generation — a new strategy for high-speed patterned illumination imaging,” Optica, vol. 2, no. 12, pp. 1037–1044, December 2015. doi:10.1364/OPTICA.2.001037

155. Edmund Y. Lam, “Computational photography with plenoptic camera and light field capture: tutorial,” Journal of the Optical Society of America A, vol. 32, no. 11, pp. 2021–2032, November 2015. doi:10.1364/JOSAA.32.002021

     Top Downloads in the Journal of the Optical Society of America A (Nov 15 | Dec 15 | Jan 16 | Feb 16 | Aug 16 | Sep 16 | Oct 16 | Nov 16 | Dec 16 | Jan 17 | Feb 17 | Mar 17 | Apr 17 | Dec 17 | Jan 18 | Feb 18 | May 18 | Jun 18 | Jul 18 | Aug 18 | Dec 19)

     Among 15 most cited articles in the journal between 2015 and 2017

156. Xiaofei Wu, Shiyuan Liu, Wen Lv, and Edmund Y. Lam, “Sparse nonlinear inverse imaging for shot count reduction in inverse lithography,” Optics Express, vol. 23, no. 21, pp. 26919–26931, October 2015. doi:10.1364/OE.23.026919

157. Haiyan Ou, Huiyu Pan, Edmund Y. Lam, and Bing-Zhong Wang, “Defocus noise suppression with combined frame difference and connected component methods in optical scanning holography,” Optics Letters, vol. 40, no. 17, 4146–4149, September 2015. doi:10.1364/OL.40.004146

158. Haiyan Ou, Chi Zhang, Xing Xu, Edmund Y. Lam, and Kenneth K.Y. Wong, “Chromatic-dispersion-free transmission using time-reversal optical parametric amplifier,” Electronics Letters, vol. 51, no. 4, pp. 347–349, February 2015. doi:10.1049/el.2014.4468

159. Fuqin Deng, Chang Liu, Wuifung Sze, Jiangwen Deng, Kenneth S.M. Fung, and Edmund Y. Lam, “An INSPECT measurement system for moving objects,” IEEE Transactions on Instrumentation and Measurement, vol. 64, no. 1, pp. 63–74, January 2015. doi:10.1109/TIM.2014.2329387

160. Vincent Tam, Edmund Y. Lam, and S.T. Fung, “A new framework of concept clustering and learning path optimization to develop the next-generation e-learning systems,” Journal of Computers in Education, vol. 1, no. 4, pp. 335–352, December 2014. doi:10.1007/s40692-014-0016-8

161. Jianbing Xu, Luoqin Yu, Xiaoming Wei, Xie Wang, Po Ching Chui, Kin Tak Chan, Edmund Y. Lam, Nikki P. Lee, and Kenneth K.Y. Wong, “Simultaneous dual-band optical coherence tomography for endoscopic applications,” Journal of Biomedical Optics, vol. 19, no. 12, pp. 126007(1–6), December 2014. doi:10.1117/1.JBO.19.12.126007

162. Wen Lv, Shiyuan Liu, Xiaofei Wu, and Edmund Y. Lam, “Illumination source optimization in optical lithography via derivative-free optimization,” Journal of the Optical Society of America A, vol. 31, no. 12, pp. B19–B26, December 2014. doi:10.1364/JOSAA.31.000B19
     Top Downloads in the Journal of the Optical Society of America A (Dec 14)

163. Xiaofei Wu, Shiyuan Liu, Wen Lv, and Edmund Y. Lam, “Robust and efficient inverse mask synthesis with basis function representation,” Journal of the Optical Society of America A, vol. 31, no. 12, pp. B1–B9, December 2014. doi:10.1364/JOSAA.31.0000B1

164. Andy K.S. Lau, Terence T.W. Wong, Kenneth K.Y. Ho, Matthew T.H. Tang, Antony C.S. Chan, Xiaoming Wei, Edmund Y. Lam, Ho Cheung Shum, Kenneth K.Y. Wong, and Kevin K. Tsia, “Interferometric time-stretch microscopy for ultrafast quantitative cellular and tissue imaging at 1um,” Journal of Biomedical Optics, vol. 19, no. 7, pp. 076001(1–7), July 2014. doi:10.1117/1.JBO.19.7.076001

165. Aaron C. Chan, Vivek J. Srinivasan, and Edmund Y. Lam, “Maximum likelihood Doppler frequency estimation under decorrelation noise for quantifying flow in optical coherence tomography,” IEEE Transactions on Medical Imaging, vol. 33, no. 6, pp. 1313–1323, June 2014. doi:10.1109/TMI.2014.2309986

166. Wen Lv, Edmund Y. Lam, Haiqing Wei, and Shiyuan Liu, “Cascadic multigrid algorithm for robust inverse mask synthesis in optical lithography,” Journal of Micro/Nanolithography, MEMS, and MOEMS, vol. 13, no. 2, pp. 023003(1–10), April 2014. doi:10.1117/1.JMM.13.2.023003

167. Jia Li and Edmund Y. Lam, “Robust source and mask optimization compensating for mask topography effects in computational lithography,” Optics Express, vol. 22, no. 8, pp. 9471–9485, April 2014. doi:10.1364/OE.22.009471

168. Haiyan Ou, Ting-Chung Poon, Kenneth K.Y. Wong, and Edmund Y. Lam, “Enhanced depth resolution in optical scanning holography using a configurable pupil,” Photonics Research, vol. 2, no. 2, pp. 64–70, April 2014. doi:10.1364/PRJ.2.000064
     Top Downloads in the Photonics Research Journal (Jun 14) ; Top 10 cited articles in the journal during 2014-15

169. Antony C.S. Chan, Terence T.W. Wong, Kenneth K.Y. Wong, Edmund Y. Lam, and Kevin K. Tsia, “Speed-dependent resolution analysis of ultrafast laser-scanning fluorescence microscopy,” Journal of the Optical Society of America B, vol. 31, no. 4, pp. 755–764, April 2014. doi:10.1364/JOSAB.31.000755

170. Xiaofei Wu, Shiyuan Liu, Jia Li, and Edmund Y. Lam, “Efficient source mask optimization with Zernike polynomial functions for source representation,” Optics Express, vol. 22, no. 4, pp. 3924–3937, February 2014. doi:10.1364/OE.22.003924

171. Terence T.W. Wong, Andy K.S. Lau, Kenneth K.Y. Ho, Matthew Y.H. Tang, Joseph D.F. Robles, Xiaoming Wei, Antony C.S. Chan, Anson H.L. Tang, Edmund Y. Lam, Kenneth K.Y. Wong, Godfrey C.F. Chan, Ho Cheung Shum, and Kevin K. Tsia, “Asymmetric-detection time-stretch optical microscopy (ATOM) for ultrafast high-contrast cellular imaging in flow,” Scientific Reports, vol. 4, pp. 3656(1–9), January 2014. doi:10.1038/srep03656

172. Jianbing Xu, Haiyan Ou, Cuiru Sun, Po Ching Chui, Victor X.D. Yang, Edmund Y. Lam, and Kenneth K.Y. Wong, “Wavelet domain compounding for speckle reduction in optical coherence tomography,” Journal of Biomedical Optics, vol. 18, no. 9, pp. 096002(1–7), September 2013. doi:10.1117/1.JBO.18.9.096002

173. Jianbing Xu, Haiyan Ou, Edmund Y. Lam, P.C. Chui, and Kenneth K.Y. Wong, “Speckle reduction of retinal optical coherence tomography based on contourlet shrinkage,” Optics Letters, vol. 38, no. 15, pp. 2900–2903, August 2013. doi:10.1364/OL.38.002900

174. Wen Lv, Shiyuan Liu, Qi Xia, Xiaofei Wu, Yijiang Shen, and Edmund Y. Lam, “Level-set-based inverse lithography for mask synthesis using the conjugate gradient and an optimal time step,” Journal of Vacuum Science and Technology B, vol. 31, no. 4, pp. 041605(1–13), July 2013. doi:10.1116/1.4813781

175. Aaron C. Chan, Edmund Y. Lam, and Vivek J. Srinivasan, “Comparison of Kasai autocorrelation and maximum likelihood estimators for Doppler optical coherence tomography,” IEEE Transactions on Medical Imaging, vol. 32, no. 6, pp. 1033–1042, June 2013. doi:10.1109/TMI.2013.2248163

176. Qing Wang, Yuanzhe Wang, Edmund Y. Lam, and Ngai Wong, “Model order reduction for neutral systems by moment matching,” Circuits, Systems and Signal Processing, vol. 32, no. 3, pp. 1039–1063, June 2013. doi:10.1007/s00034-012-9483-1

177. Haiyan Ou, Ting-Chung Poon, Kenneth K.Y. Wong, and Edmund Y. Lam, “Depth resolution enhancement in double-detection optical scanning holography,” Applied Optics, vol. 52, no. 13, pp. 3079–3087, May 2013. doi:10.1364/AO.52.003079

178. Jia Li, Shiyuan Liu, and Edmund Y. Lam, “Efficient source and mask optimization with augmented Lagrangian methods in optical lithography,” Optics Express, vol. 21, no. 7, pp. 8076–8090, April 2013. doi:10.1364/OE.21.008076

179. Qing Wang, Pengcheng Xu, Edmund Y. Lam, and Ngai Wong, “Iterative solution to linear matrix inequality arising from time delay descriptor systems,” Applied Mathematics and Computation, vol. 219, no. 9, pp. 4176–4184, January 2013. doi:10.1016/j.amc.2012.11.017

180. Fuqin Deng, Chang Liu, Wuifung Sze, Jiangwen Deng, Kenneth S.M. Fung, Winghong Leung, and Edmund Y. Lam, “Illumination-invariant phase-shifting algorithm for three-dimensional profilometry of a moving object,” Optical Engineering, vol. 51, no. 9, pp. 097001(1–11), September 2012. doi:10.1117/1.OE.51.9.097001

181. Jun Ke and Edmund Y. Lam, “Object reconstruction in block-based compressive imaging,” Optics Express, vol. 20, no. 20, pp. 22102–22117, September 2012. doi:10.1364/OE.20.022102

182. Jia Li, Yijiang Shen, and Edmund Y. Lam, “Hotspot-aware fast source and mask optimization,” Optics Express, vol. 20, no. 19, pp. 21792–21804, September 2012. doi:10.1364/OE.20.021792

183. Corbett Rowell and Edmund Y. Lam, “Mobile-phone antenna design,” IEEE Antennas and Propagation Magazine, vol. 54, no. 4, pp. 14–34, August 2012. doi:10.1109/MAP.2012.6309152

     Top Downloads in all IEEE journal (Aug 12 (rank 63), Oct 12 (rank 25), Nov 12 (rank 44))

     Press release at ASTRI

     The highest number of downloads in 2013 among all articles in this publication (~2700 downloads)

184. Corbett Rowell and Edmund Y. Lam, “Multiple frequency band and high isolation mobile device antennas using a capacitive slot,” IEEE Transactions on Antennas and Propagation, vol. 60, no. 8, pp. 3576–3582, August 2012. doi:10.1109/TAP.2012.2201077

185. Rui Zhu, Jianbing Xu, Chi Zhang, Aaron C. Chan, Qin Li, P.C. Chui, Edmund Y. Lam, and Kenneth K.Y. Wong, “Dual-band time-multiplexing swept-source optical coherence tomography based on optical parametric amplification,” IEEE Journal of Selected Topics in Quantum Electronics, vol. 18, no. 4, pp. 1287–1292, July–August 2012. doi:10.1109/JSTQE.2011.2167132
     Feature of the Week at OCT News

186. Kyle H.Y. Cheng, Edmund Y. Lam, Beau A. Standish, and Victor X.D. Yang, “Speckle reduction of endovascular optical coherence tomography using a generalized divergence measure,” Optics Letters, vol. 37, no. 14, pp. 2871–2873, July 2012. Also published in The Virtual Journal for Biomedical Optics, vol. 7, no. 9, August 2012. doi:10.1364/OL.37.002871

187. Siu Kai Choy, Ningning Jia, Chong Sze Tong, Man Lai Tang, and Edmund Y. Lam, “A robust computational algorithm for inverse photomask synthesis in optical projection lithography,” SIAM Journal on Imaging Sciences, vol. 5, no. 2, pp. 625–651, May 2012. doi:10.1137/110830356

188. Zhimin Xu, Jun Ke, and Edmund Y. Lam, “High-resolution lightfield photography using two masks,” Optics Express, vol. 20, no. 10, pp. 10971–10983, May 2012. doi:10.1364/OE.20.010971

189. Jun Ke and Edmund Y. Lam, “Image reconstruction from nonuniformly spaced samples in spectral-domain optical coherence tomography,” Biomedical Optics Express, vol. 3, no. 4, pp. 741–752, April 2012. doi:10.1364/BOE.3.000741

     News coverage at OCT News

     Top Downloads in Biomedical Optics Express in the area of Image Reconstruction and Inverse Problems over 2010--12

190. Hong Di, Kangfeng Zheng, Xin Zhang, Edmund Y. Lam, Taegeun Kim, You Seok Kim, Ting-Chung Poon, and Changhe Zhou, “Multiple-image encryption by compressive holography,” Applied Optics, vol. 51, no. 7, pp. 1000–1009, March 2012. doi:10.1364/AO.51.001000

191. Fuqin Deng, Wui Fung Sze, Jiangwen Deng, Kenneth S.M. Fung, W.H. Leung, and Edmund Y. Lam, “Regularized multiframe phase-shifting algorithm for three-dimensional profilometry,” Applied Optics, vol. 51, no. 1, pp. 33–42, January 2012. doi:10.1364/AO.51.000033

192. Jun Ke, Ting-Chung Poon, and Edmund Y. Lam, “Depth resolution enhancement in optical scanning holography with a dual-wavelength laser source,” Applied Optics, vol. 50, no. 34, pp. H285–H296, December 2011. doi:10.1364/AO.50.00H285

193. Ningning Jia and Edmund Y. Lam, “Pixelated source mask optimization for process robustness in optical lithography,” Optics Express, vol. 19, no. 20, pp. 19384–19398, September 2011. doi:10.1364/OE.19.019384

194. Yijiang Shen, Ngai Wong, Edmund Y. Lam, and Cheng-Kok Koh, “Finite difference schemes for heat conduction analysis in integrated circuit design and manufacturing,” International Journal of Circuit Theory and Applications, vol. 39, no. 9, pp. 905–921, September 2011. doi:10.1002/cta.675

195. Giuseppe Y. Mak, Edmund Y. Lam, and H. W. Choi, “Liquid-immersion laser micromachining of GaN trenches and its applications in device fabrication,” Physica Status Solidi (c), vol. 8, no. 7–8, pp. 2229–2231, July 2011. doi:10.1002/pssc.201001088

196. Giuseppe Y. Mak, L. Zhu, Zetao Ma, S.Y. Huang, Edmund Y. Lam, and H.W. Choi, “Plasmonically enhanced quantum-dot white-light InGaN light-emitting diode,” Journal of Physics D: Applied Physics, vol. 44, no. 22, pp. 224016(1–5), June 2011. doi:10.1088/0022-3727/44/22/224016

197. Annie M. Tang, Jeyarama S. Ananta, Hong Zhao, Brandon T. Cisneros, Edmund Y. Lam, Stephen T. Wong, Lon J. Wilson, and Kelvin K. Wong, “Cellular uptake and imaging studies of gadolinium-loaded single-walled carbon nanotubes as MRI contrast agents,” Contrast Media and Molecular Imaging, vol. 6, no. 2, pp. 93–99, March/April 2011. doi:10.1002/cmmi.410

198. Yijiang Shen, Ningning Jia, Ngai Wong, and Edmund Y. Lam, “Robust level-set-based inverse lithography,” Optics Express, vol. 19, no. 6, pp. 5511–5521, March 2011. doi:10.1364/OE.19.005511
     News coverage at Laser Focus World

199. Giuseppe Y. Mak, Edmund Y. Lam, and H. W. Choi, “Liquid-immersion laser micromachining of GaN grown on sapphire,” Applied Physics A: Materials Science and Processing, vol. 102, no. 2, pp. 441–447, February 2011. doi:10.1007/s00339-010-6169-z

200. Giuseppe Y. Mak, Edmund Y. Lam, and H. W. Choi, “Interconnected alternating-current light-emitting diode arrays isolated by laser micromachining,” Journal of Vacuum Science and Technology B, vol. 29, no. 1, pp. 011025(1–4), January 2011. doi:10.1116/1.3533949

201. Xiansheng Guo, Qun Wan, Chunqi Chang, and Edmund Y. Lam, “Source localization using a sparse representation framework to achieve superresolution,” Multidimensional Systems and Signal Processing, vol. 21, no. 4, pp. 391–402, December 2010. doi:10.1007/s11045-010-0119-y

202. Giuseppe Y. Mak, Edmund Y. Lam, and H. W. Choi, “Deep etch of GaN by laser micromachining,” Physica Status Solidi (c), vol. 7, no. 7–8, pp. 2151–2153, July 2010. doi:10.1002/pssc.200983480

203. Edmund Y. Lam and Alfred K. Wong, “Nebulous hotspot and algorithm variability in computation lithography,” Journal of Micro/Nanolithography, MEMS, and MOEMS, vol. 9, no. 3, pp. 033002(1–9), July 2010. doi:10.1117/1.3459937

204. Zhimin Xu and Edmund Y. Lam, “Image reconstruction using spectroscopic and hyperspectral information for compressive terahertz imaging,” Journal of the Optical Society of America A, vol. 27, no. 7, pp. 1638–1646, July 2010. doi:10.1364/JOSAA.27.001638
     Top Downloads in the Journal of the Optical Society of America A in the area of Imaging Systems over a two-year period (2010--11)

205. Xin Zhang and Edmund Y. Lam, “Edge-preserving sectional image reconstruction in optical scanning holography,” Journal of the Optical Society of America A, vol. 27, no. 7, pp. 1630–1637, July 2010. Also published in The Virtual Journal for Biomedical Optics, vol. 5, no. 11, August 2010. doi:10.1364/JOSAA.27.001630

206. Sammy H.M. Kwok, Hayden K.H. So, Edmund Y. Lam, and K.S. Lui, “Zero-configuration identity-based IP network encryptor,” IEEE Transactions on Consumer Electronics, vol. 56, no. 2, pp. 540–546, May 2010. doi:10.1109/TCE.2010.5505967

207. Xiansheng Guo, Chunqi Chang, and Edmund Y. Lam, “Blind separation of electron paramagnetic resonance signals using diversity minimization,” Journal of Magnetic Resonance, vol. 204, no. 1, pp. 26–36, May 2010. doi:10.1016/j.jmr.2010.01.014

208. Mei Dong, Ronald Chung, Edmund Y. Lam, and Kenneth S.M. Fung, “Height inspection of wafer bumps without explicit 3D reconstruction,” IEEE Transactions on Electronics Packaging Manufacturing, vol. 33, no. 2, pp. 112–121, April 2010. doi:10.1109/TEPM.2010.2043361

209. Ningning Jia and Edmund Y. Lam, “Machine learning for inverse lithography: Using stochastic gradient descent for robust photomask synthesis,” Journal of Optics, vol. 12, no. 4, pp. 045601(1–9), April 2010. doi:10.1088/2040-8978/12/4/045601

210. Giuseppe Y. Mak, Edmund Y. Lam, and H.W. Choi, “Precision laser micromachining of trenches in GaN on sapphire,” Journal of Vacuum Science and Technology B, vol. 28, no. 2, pp. 380–385, March 2010. doi:10.1116/1.3359593

211. Kyle H.Y. Cheng, Beau A. Standish, Victor X.D. Yang, K. K.Y. Cheung, Xijia Gu, Edmund Y. Lam, and K. K.Y. Wong, “Wavelength-swept spectral and pulse shaping utilizing hybrid Fourier domain modelocking by fiber optical parametric and erbium-doped fiber amplifiers,” Optics Express, vol. 18, no. 3, pp. 1909–1915, February 2010. Also published in The Virtual Journal for Biomedical Optics, vol. 5, no. 4, February 2010. doi:10.1364/OE.18.001909
     News coverage at OCT News

212. Annie M. Tang, Kelvin Wong, Jeyarama S. Ananta, Edmund Y. Lam, Lon J. Wilson, and Stephen T. Wong, “Comparison of Gadolinium loaded and empty carbon nanotubes as high performance MRI contrast agent,” Molecular Imaging and Biology, vol. 12, no. S1, pp. S41–S42, February 2010.

213. Yijiang Shen, Ngai Wong, and Edmund Y. Lam, “Level-set-based inverse lithography for photomask synthesis,” Optics Express, vol. 17, no. 26, pp. 23690–23701, December 2009. doi:10.1364/OE.17.023690

214. Xin Zhang and Edmund Y. Lam, “Superresolution reconstruction using nonlinear gradient-based regularization,” Multidimensional Systems and Signal Processing, vol. 20, no. 4, pp. 375–384, December 2009. doi:10.1007/s11045-008-0072-1

215. Edmund Y. Lam, Xin Zhang, Huy Vo, Ting-Chung Poon, and Guy Indebetouw, “Three-dimensional microscopy and sectional image reconstruction using optical scanning holography,” Applied Optics, vol. 48, no. 34, pp. H113–H119, December 2009. Also published in The Virtual Journal for Biomedical Optics, vol. 5, no. 1, January 2010. doi:10.1364/AO.48.00H113

     Data set available at http://midas.osa.org/midaspub/midas/item/view/1149

     Top Downloads in Applied Optics journal (Oct 09 | Nov 09 | Dec 09 | Jan 10)

     In Applied Optics 50th anniversary edition, this article is among the 10 "Editor's Picks" in the area of Digital Holography that reflect the progression over the journal's half a century history!

216. Xin Zhang, Edmund Y. Lam, Taegeun Kim, You Seok Kim, and Ting-Chung Poon, “Blind sectional image reconstruction for optical scanning holography,” Optics Letters, vol. 34, no. 20, pp. 3098–3100, October 2009. doi:10.1364/OL.34.003098

217. Edmund Y. Lam and Alfred K.K. Wong, “Computation lithography: virtual reality and virtual virtuality,” Optics Express, vol. 17, no. 15, pp. 12259–12268, July 2009. doi:10.1364/OE.17.012259

218. Giuseppe Y. Mak, W. Y. Fu, Edmund Y. Lam, and H. W. Choi, “Metallic nanoparticle array on GaN by microsphere lithography,” Physica Status Solidi (c), vol. 6, no. S2, pp. S654–S657, June 2009. doi:10.1002/pssc.200880875

219. Kit-Yee Chow, King-Shan Lui, and Edmund Y. Lam, “Wireless sensor networks scheduling for full angle coverage,” Multidimensional Systems and Signal Processing, vol. 20, no. 2, pp. 101–119, June 2009. doi:10.1007/s11045-008-0062-3

220. Zhimin Xu and Edmund Y. Lam, “Maximum a posteriori blind image deconvolution with Huber-Markov random-field regularization,” Optics Letters, vol. 34, no. 9, pp. 1453–1455, May 2009. doi:10.1364/OL.34.001453

221. Man-Cheuk Ng, Jun Hua, Yong Hu, Keith D.K. Luk, and Edmund Y. Lam, “Magnetization Transfer (MT) asymmetry around the water resonance in human cervical spinal cord,” Journal of Magnetic Resonance Imaging, vol. 29, no. 3, pp. 523–528, March 2009. doi:10.1002/jmri.21610

222. Ada N.Y. Ng, Edmund Y. Lam, Ronald Chung, Kenneth S.M. Fung, and W.H. Leung, “Reference-free machine vision inspection of semiconductor die images,” International Journal of Image and Graphics, vol. 9, no. 1, pp. 133–152, January 2009. doi:10.1142/S021946780900337X

223. Xin Zhang, Edmund Y. Lam, and Ting-Chung Poon, “Reconstruction of sectional images in holography using inverse imaging,” Optics Express, vol. 16, no. 22, pp. 17215–17226, October 2008. Also published in The Virtual Journal for Biomedical Optics, vol. 3, no. 12, December 2008. doi:10.1364/OE.16.017215

224. Stanley H. Chan, Alfred K. Wong, and Edmund Y. Lam, “Initialization for robust inverse synthesis of phase-shifting masks in optical projection lithography,” Optics Express, vol. 16, no. 19, pp. 14746–14760, September 2008. doi:10.1364/OE.16.014746

225. Sammy H.M. Kwok and Edmund Y. Lam, “Effective uses of FPGAs for brute-force attack on RC4 ciphers,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 16, no. 8, pp. 1096–1100, August 2008. doi:10.1109/TVLSI.2008.2000670

226. Yuan Shu, Ronald Chung, Zheng Tan, Jun Cheng, Edmund Y. Lam, Kenneth S.M. Fung, and Fan Wang, “Projection optics design for tilted projection of fringe pattern,” Optical Engineering, vol. 47, no. 5, pp. 053002(1–10), May 2008. doi:10.1117/1.2931457

227. Annie M. Tang, Daniel F. Kacher, Edmund Y. Lam, Kelvin K. Wong, Ferenc A. Jolesz, and Edward S. Yang, “Simultaneous ultrasound and MRI system for breast biopsy: Compatibility assessment and demonstration in a dual modality phantom,” IEEE Transactions on Medical Imaging, vol. 27, no. 2, pp. 247–254, February 2008. doi:10.1109/TMI.2007.911000

228. Yijiang Shen, Edmund Y. Lam, and Ngai Wong, “A signomial programming approach for binary image restoration by penalized least squares,” IEEE Transactions on Circuits and Systems II, vol. 55, no. 1, pp. 41–45, January 2008. doi:10.1109/TCSII.2007.907751

229. Jun Cheng, Ronald Chung, Edmund Y. Lam, Kenneth S.M. Fung, Fan Wang, and W.H. Leung, “Structure-light based sensing using a single fixed fringe grating: Fringe boundary detection and 3D reconstruction,” IEEE Transactions on Electronics Packaging Manufacturing, vol. 31, no. 1, pp. 19–31, January 2008. doi:10.1109/TEPM.2007.914209

230. Man-Cheuk Ng, Ed X. Wu, Ho-Fai Lau, Yong Hu, Edmund Y. Lam, and Keith D. Luk, “Cervical spinal cord BOLD MRI study: Modulation of functional activation by dexterity of dominant and non-dominant hands,” NeuroImage, vol. 39, no. 2, pp. 825–831, January 2008. doi:10.1016/j.neuroimage.2007.09.026

231. Dong Liang, Edmund Y. Lam, and George S.K. Fung, “A least squares quantization table method for direct reconstruction of MR images with non-Cartesian trajectory,” Journal of Magnetic Resonance, vol. 188, no. 1, pp. 141–150, September 2007. doi:10.1016/j.jmr.2007.06.013

232. Wai-San Chan, Edmund Y. Lam, Michael K. Ng, and Giuseppe Y. Mak, “Super-resolution reconstruction in a computational compound-eye imaging system,” Multidimensional Systems and Signal Processing, vol. 18, no. 2–3, pp. 83–101, September 2007. doi:10.1007/s11045-007-0022-3

233. Jun Cheng, Ronald Chung, Edmund Y. Lam, Kenneth S.M. Fung, and Yangsheng Xu, “Optimization of bit-pairing codification with learning for 3D reconstruction,” International Journal of Image and Graphics, vol. 7, no. 3, pp. 445–462, July 2007. doi:10.1142/S0219467807002763

234. Michael K. Ng, Huanfeng Shen, Edmund Y. Lam, and Liangpei Zhang, “A total variation regularization based super-resolution reconstruction algorithm for digital video,” EURASIP Journal on Advances in Signal Processing, vol. 2007, Article ID 74585, 16 pages, June 2007. doi:10.1155/2007/74585

235. Simon T. Y. Suen, Edmund Y. Lam, and Kenneth K. Y. Wong, “Photographic stitching with optimized object and color matching based on image derivatives,” Optics Express, vol. 15, no. 12, pp. 7689–7696, June 2007. Also published in The Virtual Journal for Biomedical Optics, vol. 2, no. 7, July 2007. doi:10.1364/OE.15.007689

236. Yijiang Shen, Edmund Y. Lam, and Ngai Wong, “Robust binary image deconvolution with positive semidefinite programming,” IAENG International Journal of Applied Mathematics, vol. 36, no. 1, pp. 41–48, March 2007.

237. Edmund Y. Lam, “Blind bi-level image restoration with iterated quadratic programming,” IEEE Transactions on Circuits and Systems II, vol. 54, no. 1, pp. 52–56, January 2007. doi:10.1109/TCSII.2006.883101

238. Yijiang Shen, Edmund Y. Lam, and Ngai Wong, “Binary image restoration by positive semidefinite programming,” Optics Letters, vol. 32, no. 2, pp. 121–123, January 2007. doi:10.1364/OL.32.000121

239. Kit-Yee Chow, King-Shan Lui, and Edmund Y. Lam, “Efficient on-demand image transmission in visual sensor networks,” EURASIP Journal on Advances in Signal Processing, vol. 2007, Article ID 95076, 11 pages, January 2007. doi:10.1155/2007/95076

240. Kai San Choi, Edmund Y. Lam, and Kenneth K.Y. Wong, “Automatic source camera identification using the intrinsic lens radial distortion,” Optics Express, vol. 14, no. 24, pp. 11551–11565, November 2006. doi:10.1364/OE.14.011551

241. Giuseppe Y. Mak, Alfred K. Wong, and Edmund Y. Lam, “Optimization of photomask design for reducing aberration-induced placement error,” IEEE Transactions on Semiconductor Manufacturing, vol. 19, no. 3, pp. 277–285, August 2006. doi:10.1109/TSM.2006.879412

242. Jun Wang, Alfred K. Wong, and Edmund Y. Lam, “Standard cell design with resolution-enhancement-technique-driven regularly placed contacts and gates,” Journal of Microlithography, Microfabrication and Microsystems, vol. 4, no. 1, pp. 013001(1–10), January 2005. doi:10.1117/1.1857529

243. Giuseppe Y. Mak, Alfred K. Wong, and Edmund Y. Lam, “Alternating phase-shifting mask design for low aberration sensitivity,” Journal of Microlithography, Microfabrication and Microsystems, vol. 4, no. 1, pp. 013008(1–8), January 2005. doi:10.1117/1.1861732

244. Edmund Y. Lam, “Robust minimization of lighting variation for real-time defect detection,” Real-Time Imaging, vol. 10, no. 6, pp. 365–370, December 2004. doi:10.1016/j.rti.2004.08.001

245. Jun Wang, Alfred K. Wong, and Edmund Y. Lam, “Standard cell layout with regular contact placement,” IEEE Transactions on Semiconductor Manufacturing, vol. 17, no. 3, pp. 375–383, August 2004. doi:10.1109/TSM.2004.831522

246. Edmund Y. Lam, “Statistical modelling of the wavelet coefficients with different bases and decomposition levels,” IEE Proceedings – Vision, Image and Signal Processing, vol. 151, no. 3, pp. 203–206, June 2004. doi:10.1049/ip-vis:20040398

247. Edmund Y. Lam, “Analysis of the DCT coefficient distributions for document coding,” IEEE Signal Processing Letters, vol. 11, no. 2, pp. 97–100, February 2004. doi:10.1109/LSP.2003.821789

248. Edmund Y. Lam, “Compound document compression with model-based biased reconstruction,” Journal of Electronic Imaging, vol. 13, no. 1, pp. 191–197, January 2004. doi:10.1117/1.1631317

249. Edmund Y. Lam, “Noise in superresolution reconstruction,” Optics Letters, vol. 28, no. 22, pp. 2234–2236, November 2003. doi:10.1364/OL.28.002234

250. Edmund Y. Lam, “Image restoration in digital photography,” IEEE Transactions on Consumer Electronics, vol. 49, no. 2, pp. 269–274, May 2003. doi:10.1109/TCE.2003.1209513

251. Edmund Y. Lam, “Digital restoration of defocused images in the wavelet domain,” Applied Optics, vol. 41, no. 23, pp. 4806–4811, August 2002. doi:10.1364/AO.41.004806

252. Edmund Y. Lam and Joseph W. Goodman, “A mathematical analysis of the DCT coefficient distributions for images,” IEEE Transactions on Image Processing, vol. 9, no. 10, pp. 1661–1666, October 2000. doi:10.1109/83.869177

253. Edmund Y. Lam and Joseph W. Goodman, “Iterative statistical approach to blind image deconvolution,” Journal of the Optical Society of America A, vol. 17, no. 7, pp. 1177–1184, July 2000. doi:10.1364/JOSAA.17.001177

254. Edmund Y. Lam and Joseph W. Goodman, “Discrete cosine transform domain restoration of defocused images,” Applied Optics, vol. 37, no. 26, pp. 6213–6218, September 1998. doi:10.1364/AO.37.006213

Conference Proceedings:

1. Haosen Liu and Edmund Y. Lam, “Unsupervised video denoising for structured noise via Fourier masking,” in Optics, Photonics, and Digital Technologies for Imaging Applications, volume 14085 of Proceedings of the SPIE, pp. 140850W, April 2026. doi:10.1117/12.3106007
   Invited Paper at the conference

2. Meilu Zhu, Yuxing Li, Zhiwei Wang, and Edmund Y. Lam, “Personalized federated learning with residual Fisher information for medical image segmentation,” in IEEE International Symposium on Biomedical Imaging, pp. 1–4, April 2026. doi:10.1109/ISBI61048.2026.11515924

3. Zhiwei Wang and Yuxing Li and Meilu Zhu and Defeng He and Edmund Y. Lam, “Joint segmentation and grading with iterative optimization for multimodal glaucoma diagnosis,” in IEEE International Symposium on Biomedical Imaging, pp. 1–4, April 2026. doi:10.1109/ISBI61048.2026.11515543

4. Juntao Qiu, Yaping Zhao, Yuxing Li, Allie Lee, Vincent Tam, and Edmund Y. Lam, “POSEIDON: Portable Ocular Surface Evaluation with Integrated Design of Hardware and Network,” in IEEE International Symposium on Biomedical Imaging, pp. 1–4, April 2026. doi:10.1109/ISBI61048.2026.11515330

5. Haosen Liu and Edmund Y. Lam, “Leveraging Fourier domain for unsupervised removal of structured noise in fluorescence microscopy imaging,” in IEEE International Symposium on Biomedical Imaging, pp. 1–4, April 2026. doi:10.1109/ISBI61048.2026.11515690

6. Shuo Li, Mohamed Elgendi, Carlo Menon, Rosa H.M. Chan, and Edmund Y. Lam, “Gait-based soft biometric estimation using wearable inertial sensing: Comparative evaluation and demographic fairness analysis,” in IEEE Biomedical Circuits and Systems Conference, pp. 229–233, October 2025. doi:10.1109/BioCAS67066.2025.00058

7. Yunfei Tian, Rongzhou Chen, Yanmin Zhu, Jingyan Chen, and Edmund Y. Lam, “Coherent lensless diffraction imaging via multicore fiber for label-efficient microplastics characteristic discrimination,” in Holography, Diffractive Optics, and Applications, volume 13719 of Proceedings of the SPIE, pp. 137191L, October 2025. doi:10.1117/12.3073960

8. Shuo Li, Yanmin Zhu, Yuxing Li, and Edmund Y. Lam, “Fluorescence polarimetry for microplastics identification,” in Holography, Diffractive Optics, and Applications, volume 13719 of Proceedings of the SPIE, pp. 137191G, October 2025. doi:10.1117/12.3074194

9. Ni Chen and Edmund Y. Lam, “Embracing uncertainties in computational imaging,” in Holography, Diffractive Optics, and Applications, volume 13719 of Proceedings of the SPIE, pp. 1371903, October 2025. doi:10.1117/12.3073795

10. Yuqing Cao, Shuo Zhu, and Edmund Y. Lam, “Neuromorphic dynamic speckle pattern synthesis for imaging through scattering media,” in Advanced Optical Imaging Technologies, volume 13717 of Proceedings of the SPIE, pp. 137170C, October 2025. doi:10.1117/12.3073637

11. Chutian Wang, Shuo Li, Shuo Zhu, and Edmund Y. Lam, “Motion-resolved event-based holographic imaging,” in Advanced Optical Imaging Technologies, volume 13717 of Proceedings of the SPIE, pp. 1371709, October 2025. doi:10.1117/12.3078671

12. Juntao Qiu, Yaping Zhao, and Edmund Y. Lam, “ColorGPT: Automatic colorization with generative prompts and transformer,” in IEEE International Conference on Image Processing, pp. 1528–1533, September 2025. doi:10.1109/ICIP55913.2025.11084307

13. Chutian Wang, Shuo Zhu, Jingqian Wu, Ni Chen, and Edmund Y. Lam, “Differentiable event-based holography,” in Optica Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. DTu2C.3, August 2025. doi:10.1364/DH.2025.DTu2C.3

14. Jingyan Chen, Yuqing Cao, Yuxing Li, Yanmin Zhu, and Edmund Y. Lam, “Compact spectral camera with deep learning-enabled spectrum decoding,” in Optica Topical Meeting in Imaging Systems and Applications, pp. IW4D.6, August 2025. doi:10.1364/ISA.2025.IW4D.6

15. Haitao Nie, Yaping Zhao, and Edmund Y. Lam, “Metasurface-based single-pixel hyperspectral imaging,” in Optica Topical Meeting in Imaging Systems and Applications, pp. IW1D.5, August 2025. doi:10.1364/ISA.2025.IW1D.5

16. Rongzhou Chen, Yuxing Li, Chutian Wang, Shaohua Ma, and Edmund Y. Lam, “Event-based rapid organoid imaging,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CTh3B.5, August 2025. doi:10.1364/COSI.2025.CTh3B.5

17. Yuqing Cao, Shuo Zhu, Rongzhou Chen, Jingyan Chen, and Edmund Y. Lam, “Low-latency object tracking through scattering media with event camera,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CTh3B.4, August 2025. doi:10.1364/COSI.2025.CTh3B.4

18. Haoyu Wei, Edmund Y. Lam, and Yifan Peng, “Enabling wide field-of-view imaging via jointly learned off-aperture encoding,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CTh1B.2, August 2025. doi:10.1364/COSI.2025.CTh1B.2

19. Haosen Liu, Haitao Nie, and Edmund Y. Lam, “Physics-informed unsupervised learning for single photon imaging,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CTu3B.7, August 2025. doi:10.1364/COSI.2025.CTu3B.7

20. Yanmin Zhu, Yuxing Li, Yunping Zhang, and Edmund Y. Lam, “Super-resolution microsphere digital holographic microscopy imaging based on phase-intensity feature fusion,” in Multimodal Sensing and Artificial Intelligence for Sustainable Future, volume 13570 of Proceedings of the SPIE, pp. 135701V, June 2025. doi:10.1117/12.3062541

21. Yunfei Tian, Yunping Zhang, Yuxing Li, Shuo Zhu, and Edmund Y. Lam, “Self-supervised defocus blur kernel estimation with symmetry and smoothness constraints,” in Multimodal Sensing and Artificial Intelligence for Sustainable Future, volume 13570 of Proceedings of the SPIE, pp. 135700X, June 2025. doi:10.1117/12.3062402

22. Yunping Zhang, Yunfei Tian, Yuxing Li, and Edmund Y. Lam, “A portable AI-powered rotifer-tracking system for in-situ water quality assessment,” in Multimodal Sensing and Artificial Intelligence for Sustainable Future, volume 13570 of Proceedings of the SPIE, pp. 135700S, June 2025. doi:10.1117/12.3062375

23. Yaping Zhao and Edmund Y. Lam, “Laconic neuromorphic vision,” in IEEE International Symposium on Circuits and Systems, pp. 1–5, May 2025. doi:10.1109/ISCAS56072.2025.11043673

24. Rongzhou Chen, Yaping Zhao, Hanghang Liu, Haohan Xu, Shaohua Ma, and Edmund Y. Lam, “Eigen-component analysis: A quantum theory-inspired linear model,” in IEEE International Symposium on Circuits and Systems, pp. 1–5, May 2025. doi:10.1109/ISCAS56072.2025.11044249

25. Yaping Zhao, Rongzhou Chen, Chutian Wang, and Edmund Y. Lam, “eSports Broadcasts with Event Cameras,” in International Conference on Neural Information Processing (Part IX), pp. 1–16, December 2024. doi:10.1007/978-981-96-6972-1_1

26. Yaping Zhao, Pei Zhang, Chutian Wang, and Edmund Y. Lam, “Controllable unsupervised event-based video generation,” in IEEE International Conference on Image Processing, pp. 2278–2284, October 2024. doi:10.1109/ICIP51287.2024.10647468

27. Tianqin Yang, Vincent W.L. Tam, Edmund Y. Lam, Alex H.S. Kan, Khant Nyar Aung, and Allie Lee, “MetaNODES: A virtual reality-based approach to intelligent neuro-ophthalmology education,” in IEEE Digital Education and MOOCS Conference, pp. 1–6, October 2024. doi:10.1109/DEMOcon63027.2024.10747920

28. Jingqian Wu, Shuo Zhu, Chutian Wang, and Edmund Y. Lam, “Ev-GS: Event-based Gaussian splatting for efficient and accurate radiance field rendering,” in IEEE International Workshop on Machine Learning for Signal Processing, pp. 1–6, September 2024. doi:10.1109/MLSP58920.2024.10734753
    Best Paper Award at the conference

29. Haosen Liu, Yunping Zhang, and Edmund Y. Lam, “Photon-limited imaging with quanta image sensors via an unsupervised learning framework,” in IEEE International Workshop on Machine Learning for Signal Processing, pp. 1–6, September 2024. doi:10.1109/MLSP58920.2024.10734798

30. Yaping Zhao and Edmund Y. Lam, “Optimizing object detection in electro-optical systems with snapshot compressive imaging,” in Electro-optical and Infrared Systems: Technology and Applications, volume 13200 of Proceedings of the SPIE, pp. 132001G, September 2024. doi:10.1117/12.3031426

31. Nan Meng, Moxin Zhao, Chutian Wang, Pei Zhang, Weichen Qi, Edmund Y. Lam, and Teng Zhang, “Enhancing image quality for orthopaedic surgery through event-based image deblurring,” in International Conference on Images, Signals, and Computing, September 2024.

32. Yaping Zhao and Edmund Y. Lam, “LUCK: Lighting up colors in the dark,” in IEEE Optoelectronics Global Conference, pp. 51–55, September 2024. doi:10.1109/OGC62429.2024.10738746

33. Shuo Zhu, Chutian Wang, Pei Zhang, and Edmund Y. Lam, “Harnessing noise for materials differentiation in computational neuromorphic imaging,” in IEEE Optoelectronics Global Conference, pp. 47–50, September 2024. doi:10.1109/OGC62429.2024.10738780

34. Yuxing Li, Jianqing Huang, Yanmin Zhu, and Edmund Y. Lam, “Monitoring microplastic and nanoplastic pollution with SPLASH,” in International Conference on Information Optics and Photonics, August 2024.
    Invited Paper at the conference

35. Yuxing Li, Jianqing Huang, Jingyan Chen, and Edmund Y. Lam, “Rapid identification of microplastics through spectral reconstruction from RGB images,” in Optica Topical Meeting in Applied Industrial Spectroscopy, pp. AW3A.2, July 2024. doi:10.1364/AIS.2024.AW3A.2

36. Jingyan Chen, Yuxing Li, Jianqing Huang, and Edmund Y. Lam, “Wide-field microplastic identification based on spectrum and deep learning,” in Optica Topical Meeting in Imaging Systems and Applications, pp. IM1G.6, July 2024. doi:10.1364/ISA.2024.IM1G.6

37. Rongzhou Chen, Shuo Zhu, Chutian Wang, and Edmund Y. Lam, “Spectrum synthesis with computational neuromorphic imaging,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CM2B.3, July 2024. doi:10.1364/COSI.2024.CM2B.3

38. Chutian Wang, Shuo Zhu, Pei Zhang, and Edmund Y. Lam, “Surpassing the wavefront sensor dynamic range with neuromorphic temporal diversity measurements,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CM2B.2, July 2024. doi:10.1364/COSI.2024.CM2B.2

39. Chutian Wang, Madhav Gupta, Zhiqin Chu, and Edmund Y. Lam, “Intelligent quantum sensing with computational neuromorphic imaging,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CM2B.1, July 2024. doi:10.1364/COSI.2024.CM2B.1

40. Yin Cheng, Yusen Liao, Shuaijun Zhou, Jingan Chen, Edmund Y. Lam, and Jun Ke, “Enhanced single pixel imaging in atmospheric turbulence,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CF1B.5, July 2024. doi:10.1364/COSI.2024.CF1B.5

41. Wenjie Yue, Xiaxu Chen, Gangping Liu, Chutian Wang, Edmund Y. Lam, and Jun Ke, “Permutation transient attention encoder for none-line-of-sight imaging,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CTh5A.4, July 2024. doi:10.1364/COSI.2024.CTh5A.4

42. Tianqin Yang, Vincent W.L. Tam, Edmund Y. Lam, Yuxing Li, Valerie Sophia Chung, and Allie Lee, “Enhancing the medical education on the diagnoses of neuro-ophthalmologic diseases through gamification and virtual reality,” in International Conference on Open and Innovative Education, pp. 93–107, July 2024.

43. Yunping Zhang and Edmund Y. Lam, “Overcoming deterministic perturbations in physics-informed holographic reconstruction through joint optimization,” in Optica Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. Tu1A.3, June 2024. doi:10.1364/DH.2024.Tu1A.3

44. Jianqing Huang, Yuxing Li, Yanmin Zhu, and Edmund Y. Lam, “A field deployable imaging system for detecting microplastics in the aquatic environment,” in IEEE International Symposium on Circuits and Systems, pp. 1–5, May 2024. doi:10.1109/ISCAS58744.2024.10557869

45. Kaiqiang Wang and Edmund Y. Lam, “Deep learning phase recovery: Data-driven or physics-driven?” in Photonics and Electromagnetics Research Symposium, pp. 1–4, April 2024. doi:10.1109/PIERS62282.2024.10618233
    Invited Paper at the conference

46. Yaping Zhao and Edmund Y. Lam, “SASA: Saliency-aware self-adaptive snapshot compressive imaging,” in International Conference on Acoustics, Speech, and Signal Processing, pp. 2370–2374, April 2024. doi:10.1109/ICASSP48485.2024.10446309

47. Yaping Zhao, Guanghan Li, and Edmund Y. Lam, “Cross-camera human motion transfer by time series analysis,” in International Conference on Acoustics, Speech, and Signal Processing, pp. 4985–4989, April 2024. doi:10.1109/ICASSP48485.2024.10447077

48. Shansi Zhang and Edmund Y. Lam, “Unsupervised disparity estimation for light field videos,” in International Conference on Acoustics, Speech, and Signal Processing, pp. 2620–2624, April 2024. doi:10.1109/ICASSP48485.2024.10446981

49. Ziqi Zhang, Kevin Tsia, Kelvin C.M. Lee, Dickson M. D. Siu, Michelle C. K. Lo, and Edmund Y. Lam, “High-throughput and high-resolution single-cell biophysical fractometry for functional cell morphological profiling,” in High-Speed Biomedical Imaging and Spectroscopy, volume PC12853 of Proceedings of the SPIE, pp. PC128530R, January 2024. doi:10.1117/12.3008474

50. Yuxing Li, Pak Wing Chiu, Yanmin Zhu, Yuqing Cao, Vincent Tam, Allie Lee, and Edmund Y. Lam, “Monitoring the progress of subconjunctival hemorrhage through spectral reconstruction from RGB images,” in Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, volume 12857 of Proceedings of the SPIE, pp. 128570F, January 2024. doi:10.1117/12.3000905

51. Yunping Zhang, Xihui Liu, and Edmund Y. Lam, “Single-shot digital holography with improved twin-image noise suppression using a diffusion-based generative model,” in Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, volume 12857 of Proceedings of the SPIE, pp. 128570E, January 2024. doi:10.1117/12.3000660

52. Yuqing Cao, Yuxing Li, Kai Hang Yiu, and Edmund Y. Lam, “Addressing healthcare needs of the elderly in contactless blood oxygen saturation estimation with rPPG,” in Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, volume 12857 of Proceedings of the SPIE, pp. 128570C, January 2024. doi:10.1117/12.3000619

53. Shuo Zhu, Chutian Wang, Haosen Liu, Pei Zhang, and Edmund Y. Lam, “Computational neuromorphic imaging: principles and applications,” in Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, volume 12857 of Proceedings of the SPIE, pp. 1285703, January 2024. doi:10.1117/12.3012192
    Invited Paper at the conference

54. Yuxing Li, Hok Shing Kan, Yanmin Zhu, Yuqing Cao, Vincent Tam, Allie Lee, and Edmund Y. Lam, “An intelligent and handheld device for early identification of meibomian gland irregularities,” in Ophthalmic Technologies, volume 12824 of Proceedings of the SPIE, pp. 128240D, January 2024. doi:10.1117/12.2692131

55. Chang Liu, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Edmund Y. Lam, and Ngai Wong, “Gradually excavating external knowledge for implicit complex question answering,” in Findings of the Association for Computational Linguistics: Conference on Empirical Methods in Natural Language Processing, pp. 14405–14417, December 2023. doi:10.18653/v1/2023.findings-emnlp.961

56. Pak Wing Chiu, Yuxing Li, Yanmin Zhu, Vincent Tam, Allie Lee, and Edmund Y. Lam, “Deep learning-based system for assessing conjunctival injection and subconjunctival hemorrhage in red eye,” in The 16th Congress of the Asia-Pacific Vitreo-retina Society (APVRS), pp. 0139, December 2023.

57. Yuxing Li, Hok Shing Kan, Yanmin Zhu, Vincent Tam, Nicholas S. Fung, Allie Lee, and Edmund Y. Lam, “Automated analysis of meibomian gland irregularities using deep learning,” in American Academy of Ophthalmology (AAO) Annual Conference, pp. PO134, November 2023.

58. Jason C. Li, Rui Lin, Jiajun Zhou, Edmund Y. Lam, and Ngai Wong, “A unifying tensor view for lightweight CNNs,” in IEEE International Conference on ASIC (ASICON), pp. 1–4, October 2023. doi:10.1109/ASICON58565.2023.10396098

59. Yuxing Li, Pak Wing Chiu, Yanmin Zhu, Vincent Tam, Allie Lee, and Edmund Y. Lam, “A deep-learning-enabled monitoring system for ocular redness assessment,” in IEEE Biomedical Circuits and Systems Conference, pp. 1–5, October 2023. doi:10.1109/BioCAS58349.2023.10388997

60. Zhen Yuen Chong, Yaping Zhao, Zhongrui Wang, and Edmund Y. Lam, “Solving inverse problems in compressive imaging with score-based generative models,” in IEEE International Conference on Data Science and Advanced Analytics, pp. 1–10, October 2023. doi:10.1109/DSAA60987.2023.10302579

61. Yaping Zhao, Qunsong Zeng, and Edmund Y. Lam, “Adaptive compressed sensing for real-time video compression, transmission, and reconstruction,” in IEEE International Conference on Data Science and Advanced Analytics, pp. 1–10, October 2023. doi:10.1109/DSAA60987.2023.10302598

62. Yaping Zhao, Haitian Zheng, Jiebo Luo, and Edmund Y. Lam, “Improving video colorization by test-time tuning,” in IEEE International Conference on Image Processing, pp. 166–170, October 2023. doi:10.1109/ICIP49359.2023.10222579

63. Yaping Zhao, Haitian Zheng, Zhongrui Wang, Jiebo Luo, and Edmund Y. Lam, “Point cloud denoising via momentum ascent in gradient fields,” in IEEE International Conference on Image Processing, pp. 161–165, October 2023. doi:10.1109/ICIP49359.2023.10222122

64. Peiyan Guan, Renjing Pei, Bin Shao, Jianzhuang Liu, Weimian Li, Jiaxi Gu, Hang Xu, Songcen Xu, Youliang Yan, and Edmund Y. Lam, “PIDRo: Parallel isomeric attention with dynamic routing for text-video retrieval,” in International Conference on Computer Vision, pp. 11164–11173, October 2023. doi:10.1109/ICCV51070.2023.01025

65. Li Song, Haosen Liu, and Edmund Y. Lam, “Phase retrieval with multiple sensor masks,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. JTu4A.44, August 2023. doi:10.1364/COSI.2023.JTu4A.44

66. Haoyu Wei, Xin Liu, Edmund Y. Lam, and Yifan Peng, “Learned large field-of-view imaging with efficient shift-variant wave optics modeling,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CTu3B.3, August 2023. doi:10.1364/COSI.2023.CTu3B.3

67. Shuo Zhu, Zhou Ge, Chutian Wang, Jing Han, and Edmund Y. Lam, “Removing wall redundancy in non-line-of-sight object-tracking using neuromorphic imaging,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CTu2B.6, August 2023. doi:10.1364/COSI.2023.CTu2B.6

68. Chutian Wang, Zhou Ge, Shuo Zhu, Pei Zhang, and Edmund Y. Lam, “Tracking the Shack-Hartmann spots using neuromorphic motion compensation,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CTu2B.5, August 2023. doi:10.1364/COSI.2023.CTu2B.5

69. Yanmin Zhu, Yuxing Li, Jianqing Huang, Yunping Zhang, and Edmund Y. Lam, “Material analysis with polarization holography and machine learning,” in Optica Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. JW2A.3, August 2023. doi:10.1364/DH.2023.JW2A.3

70. Jianqing Huang, Yanmin Zhu, Yuxing Li, Yunping Zhang, and Edmund Y. Lam, “Polarization-sensitive digital holography for microplastic identification through scattering media,” in Optica Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. HW3D.2, August 2023. doi:10.1364/DH.2023.HW3D.2

71. Yunping Zhang, Jianqing Huang, Yanmin Zhu, Yuxing Li, and Edmund Y. Lam, “Quantifying particle volumes with photon-counting digital holography,” in Optica Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. HW3D.1, August 2023. doi:10.1364/DH.2023.HW3D.1

72. Yuxing Li, Yanmin Zhu, Jianqing Huang, Yunping Zhang, and Edmund Y. Lam, “Polarization holographic imaging for high-throughput microplastic analysis,” in Optica Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. HM1D.6, August 2023. doi:10.1364/DH.2023.HM1D.6

73. Yanmin Zhu, Yuxing Li, Jianqing Huang, Yunping Zhang, and Edmund Y. Lam, “Holographic and polarization features analysis for microplastics characterization and water monitoring,” in Multimodal Sensing and Artificial Intelligence: Technologies and Applications, volume 12621 of Proceedings of the SPIE, pp. 126210X, June 2023. doi:10.1117/12.2678293
    Invited Paper at the conference

74. Li Song and Edmund Y. Lam, “Masked coherent diffractive imaging with ADMM-based phase retrieval,” in Biomedical Imaging and Sensing Conference, volume 12608 of Proceedings of the SPIE, pp. 126080B, April 2023. doi:10.1117/12.3007506

75. Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, and Ngai Wong, “Context-aware transformer for 3D point cloud automatic annotation,” in AAAI Conference on Artificial Intelligence, pp. 2082–2090, February 2023. doi:10.1609/aaai.v37i2.25301

76. Shansi Zhang and Edmund Y. Lam, “Denoising for photon-limited imaging via a multi-level pyramid network,” in IEEE Tencon, pp. 1–7, November 2022. doi:10.1109/TENCON55691.2022.9977646

77. Yaping Zhao, Shuhui Shi, Ramgopal Ravi, Zhongrui Wang, Edmund Y. Lam, and Jichang Zhao, “H4M: Heterogeneous, multi-source, multi-modal, multi-view and multi-distributional dataset for socioeconomic analytics in the case of Beijing,” in IEEE International Conference on Data Science and Advanced Analytics, pp. 1–10, October 2022. doi:10.1109/DSAA54385.2022.10032424

78. Yaping Zhao, Ramgopal Ravi, Shuhui Shi, Zhongrui Wang, Edmund Y. Lam, and Jichang Zhao, “PATE: Property, amenities, traffic and emotions coming together for real estate price prediction,” in IEEE International Conference on Data Science and Advanced Analytics, pp. 1–10, October 2022. doi:10.1109/DSAA54385.2022.10032416

79. Yaping Zhao, Zhongrui Wang, and Edmund Y. Lam, “Improving source localization by perturbing graph diffusion,” in IEEE International Conference on Data Science and Advanced Analytics, pp. 1–9, October 2022. doi:10.1109/DSAA54385.2022.10032349

80. Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, and Ngai Wong, “Multimodal transformer for automatic 3D annotation and object detection,” in European Conference on Computer Vision, pp. 657–673, October 2022. doi:10.1007/978-3-031-19839-7_38

81. Yaping Zhao, Haitian Zheng, Zhongrui Wang, Jiebo Luo, and Edmund Y. Lam, “MANet: Improving video denoising with a multi-alignment network,” in IEEE International Conference on Image Processing, pp. 2036–2040, October 2022. doi:10.1109/ICIP46576.2022.9898028

82. Wai Ming Yip, Wing Lam Chan, Jason Li, Paul Lee, Kendrick C. Shih, Edmund Y. Lam, and Desmond Yap, “Application of self-supervised learning algorithms on retinal images of patients with diabetes mellitus to predict renal outcome,” in Asia Pacific Tele-Ophthalmology Society Symposium, pp. 33, September 2022.
    Best Poster Award at the conference

83. Shansi Zhang and Edmund Y. Lam, “A deep retinex framework for light field restoration under low-light conditions,” in International Conference on Pattern Recognition, pp. 2042–2048, August 2022. doi:10.1109/ICPR56361.2022.9956107

84. Chang Liu, Xiaoyan Qian, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, and Ngai Wong, “MAP-Gen: An automated 3D-box annotation flow with multimodal attention point generator,” in International Conference on Pattern Recognition, pp. 1148–1155, August 2022. doi:10.1109/ICPR56361.2022.9956415

85. Yanmin Zhu, Hau Kwan Abby Lo, Chok Hang Yeung, and Edmund Y. Lam, “Zero-shot learning for holographic context analysis in microplastics probing,” in Optica Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. W5A.41, August 2022. doi:10.1364/DH.2022.W5A.41

86. Yunping Zhang and Edmund Y. Lam, “Enabling low-light digital holography with a quanta image sensor,” in Optica Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. Th4A.6, August 2022. doi:10.1364/DH.2022.Th4A.6

87. Peiyan Guan and Edmund Y. Lam, “Spatial-spectral contrastive learning for hyperspectral image classification,” in IEEE International Geoscience and Remote Sensing Symposium, pp. 1372–1375, July 2022. doi:10.1109/IGARSS46834.2022.9883226

88. Peiyan Guan and Edmund Y. Lam, “Three-branch multilevel attentive fusion network for hyperspectral pansharpening,” in IEEE International Geoscience and Remote Sensing Symposium, pp. 1087–1090, July 2022. doi:10.1109/IGARSS46834.2022.9883218

89. Zhou Ge, Haoyu Wei, and Edmund Y. Lam, “Event-based automatic focusing under photon-limited conditions,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CM4A.2, July 2022. doi:10.1364/COSI.2022.CM4A.2

90. Dingaoyu Zhao, Edmund Y. Lam, and Jun Ke, “Spatial-temporal compressive imaging using an unfolding network,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CW1B.5, July 2022. doi:10.1364/COSI.2022.CW1B.5

91. Zhou Ge, Yanmin Zhu, Yunping Zhang, and Edmund Y. Lam, “Dynamic speckle analysis using the event-based block matching algorithm,” in Advanced Sensor Systems and Applications, volume 11901 of Proceedings of the SPIE, pp. 119010R, October 2021. doi:10.1117/12.2601129

92. Yanmin Zhu, Tianjiao Zeng, Kewei Liu, Zhenbo Ren, Chok Hang Yeung, and Edmund Y. Lam, “Image descattering with synthetic polarization imaging and untrained network,” in Holography, Diffractive Optics, and Applications, volume 11898 of Proceedings of the SPIE, pp. 1189813, October 2021. doi:10.1117/12.2601098

93. Yunping Zhang and Edmund Y. Lam, “Recovery of 3D particles distribution from digital hologram using a one-stage detection network,” in Holography, Diffractive Optics, and Applications, volume 11898 of Proceedings of the SPIE, pp. 118980H, October 2021. doi:10.1117/12.2601097

94. Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam, “Digital holography with polarization multiplexing for underwater imaging and descattering,” in IEEE International Workshop on Metrology for the Sea, pp. 219–223, October 2021. doi:10.1109/MetroSea52177.2021.9611560
    Invited Paper at the conference

95. Truong Thanh Nhat Mai, Edmund Y. Lam, and Chul Lee, “Ghost-free HDR imaging via unrolling low-rank matrix completion,” in IEEE International Conference on Image Processing, pp. 2928–2932, September 2021. doi:10.1109/ICIP42928.2021.9506201

96. Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam, “Digital holographic microplastics detection and characterization in heterogeneous samples via deep learning,” in 12th International Conference on Information Optics and Photonics, volume 12057 of Proceedings of the SPIE, pp. 120573G, July 2021. doi:10.1117/12.2606532
    Invited Paper at the conference

97. Zhou Ge, Tianjiao Zeng, and Edmund Y. Lam, “Lensless sensing using the event sensor,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. ITu6B.5, July 2021. doi:10.1364/ISA.2021.ITu6B.5

98. Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam, “Underwater holographic descattering with synthetic polarization,” in OSA Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. DTu6H.6, July 2021. doi:10.1364/DH.2021.DTu6H.6

99. Edmund Y. Lam, “Artificial intelligence in biophotonics and imaging: Advancing computational reconstruction and inference,” in 26th Optoelectronics and Communications Conference, pp. T4A.2, July 2021. doi:10.1364/OECC.2021.T4A.2
    Invited Paper at the conference

100. Zhenxing Zhou, Vincent W.L. Tam, King-Shan Lui, Edmund Y. Lam, Runzhi Kong, Xiao Hu, and Nancy Law, “A new approach for educational data analytics with wearable devices,” in IEEE International Conference on Advanced Learning Technologies, pp. 138–140, July 2021. doi:10.1109/ICALT52272.2021.00049

101. Zhenbo Ren, Edmund Y. Lam, and Jianlin Zhao, “Learning-based cell detection in digital pathology,” in Conference on Lasers and Electro-Optics (CLEO), pp. JW1A.184, May 2021. doi:10.1364/CLEOAT.2021.JW1A.184

102. Li Song and Edmund Y. Lam, “Phase retrieval with data-driven dual alternating direction method of multipliers for coherent diffraction imaging,” in OSA Topical Meeting in Novel Techniques in Microscopy, pp. NTu1C.2, April 2021. doi:10.1364/NTM.2021.NTu1C.2

103. Michelle C.K. Lo, Kelvin C.M. Lee, Dickson M.D. Siu, Edmund Y. Lam, and Kevin K. Tsia, “Augmented multiplexed asymmetric-detection time-stretch optical microscopy by generative deep learning,” in High-Speed Biomedical Imaging and Spectroscopy, volume 11654 of Proceedings of the SPIE, pp. 1165410, March 2021. doi:10.1117/12.2582985

104. Fan Hei Hung and Edmund Y. Lam, “Object alignment with refocused image using off-axis digital holography,” in Intelligent Robotics and Industrial Applications using Computer Vision, pp. 335(1)–335(5), January 2021. doi:10.2352/ISSN.2470-1173.2021.6.IRIACV-335

105. Li Song and Edmund Y. Lam, “MBD-GAN: Model-based image deblurring with a generative adversarial network,” in International Conference on Pattern Recognition, pp. 7306–7313, January 2021. doi:10.1109/ICPR48806.2021.9411979

106. Zhenxing Zhou, King-Shan Lui, Vincent W.L. Tam, and Edmund Y. Lam, “Applying (3+2+1)D residual neural network with frame selection for Hong Kong sign language recognition,” in International Conference on Pattern Recognition, pp. 4296–4302, January 2021. doi:10.1109/ICPR48806.2021.9412075

107. Zhou Ge, Li Song, and Edmund Y. Lam, “Light field image restoration in low-light environment,” in SPIE Future Sensing Technologies, volume 11525 of Proceedings of the SPIE, pp. 115251H, November 2020. doi:10.1117/12.2580033

108. Zhenxing Zhou, Yisiang Neo, King-Shan Lui, Vincent W.L. Tam, Edmund Y. Lam, and Ngai Wong, “A portable Hong Kong sign language translation platform with deep learning and Jetson Nano,” in International ACM SIGACCESS Conference on Computers and Accessibility, pp. 89(1–4), October 2020. doi:10.1145/3373625.3418046

109. Edmund Y. Lam, “Identification and quantification of microplastics using digital holography and deep learning,” in International Workshop on Precision Optics and Artificial Intelligence, October 2020.
     Invited Paper at the conference

110. Tianjiao Zeng and Edmund Y. Lam, “Model-based network architecture for image reconstruction in lensless imaging,” in Holography, Diffractive Optics and Applications, volume 11551 of Proceedings of the SPIE, pp. 115510B, October 2020. doi:10.1117/12.2575205

111. Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam, “Digital holography with deep learning and generative adversarial networks for automatic microplastics classification,” in Holography, Diffractive Optics and Applications, volume 11551 of Proceedings of the SPIE, pp. 115510A, October 2020. doi:10.1117/12.2575115

112. Edmund Y. Lam and Tianjiao Zeng, “Computational imaging in digital holographic reconstruction with machine learning,” IEEE International Conference on Computational Electromagnetics, pp. 77–78, August 2020. https://doi.org/10.1109/ICCEM47450.2020.9219395
     Invited Paper at the conference

113. Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam, “Holographic classifier: Deep learning in digital holography for automatic micro-objects classification,” in IEEE International Conference on Industrial Informatics, pp. 515–520, July 2020. doi:10.1109/INDIN45582.2020.9442146

114. Zhenxing Zhou, Vincent Tam, K.S. Lui, Edmund Y. Lam, Xiao Hu, Allan Yuen, and Nancy Law, “A sophisticated platform for learning analytics with wearable devices,” in IEEE International Conference on Advanced Learning Technologies, pp. 300–304, July 2020. doi:10.1109/ICALT49669.2020.00097

115. Linxia Zhang, Jun Ke, and Edmund Y. Lam, “A deep learning approach for reconstruction in temporal compressed imaging,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. CW4B.3, June 2020. doi:10.1364/COSI.2020.CW4B.3

116. Gangping Liu, Jun Ke, and Edmund Y. Lam, “CNN-based super-resolution full-waveform LiDAR,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. JW2A.29, June 2020. doi:10.1364/COSI.2020.JW2A.29

117. Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam, “Automatic detection of microplastics by deep learning enabled digital holography,” in OSA Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. HTu5B.1, June 2020. doi:10.1364/DH.2020.HTu5B.1
     Invited Paper at the conference

118. Nan Meng, Xiaofei Wu, Jianzhuang Liu, and Edmund Y. Lam, “High-order residual network for light field super-resolution,” AAAI Conference on Artificial Intelligence, pp. 11757–11764, February 2020. doi:10.1609/aaai.v34i07.6847

119. Zhenxing Zhou, Vincent Tam, K.S. Lui, Edmund Y. Lam, Allan Yuen, Xiao Hu, and Nancy Law, “Applying deep learning and wearable devices for educational data analytics,” in IEEE International Conference on Tools with Artificial Intelligence, November 2019. doi:10.1109/ICTAI.2019.00124

120. Edmund Y. Lam, “Deep learning for digital holography: Imaging, autofocusing, and reconstruction,” in Holography, Diffractive Optics and Applications, volume 11188 of Proceedings of the SPIE, October 2019.
     Invited Paper at the conference

121. Nan Meng, Tianjiao Zeng, and Edmund Y. Lam, “Spatial and angular reconstruction of light field based on deep generative networks,” in IEEE International Conference on Image Processing, pp. 4659–4663, September 2019. doi:10.1109/ICIP.2019.8803480

122. Jun Ke and Edmund Y. Lam, “Super-resolution block-wise compressive imaging and its binary sensing matrices design,” in The Japan Society of Applied Physics and The Optical Society Joint Symposia, pp. 18a-PA2-2, September 2019.

123. Fred Chan, Allan Yuen, Qiyue Li, Edmund Y. Lam, and Vincent Tam, “Exploring classroom dynamics in a university setting: A multilevel modelling approach,” in European Association for Research on Learning and Instruction Conference, August 2019. (abstract here)

124. Zhenbo Ren, Tianjiao Zeng, and Edmund Y. Lam, “Digital holographic imaging via deep learning,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. CTu3A.4, June 2019. doi:10.1364/COSI.2019.CTu3A.4

125. Jun Ke, Linxia Zhang, and Edmund Y. Lam, “Temporal compressed measurements for block-wise compressive imaging,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. JW4B.1, June 2019. doi:10.1364/COSI.2019.JW4B.1

126. Qun Zhou, Jun Ke, and Edmund Y. Lam, “Dual-waveband temporal compressive imaging,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. CTu2A.8, June 2019. doi:10.1364/COSI.2019.CTu2A.8

127. Xuhui Zhang, Yuhui Yang, Edmund Y. Lam, and Zhimin Xu, “Noise analysis of dual-wavelength digital holographic microscopy,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. CTu4C.5, June 2019. doi:10.1364/COSI.2019.CTu4C.5

128. Nan Meng, Tianjiao Zeng, and Edmund Y. Lam, “Perceptual loss for light field reconstruction in high-dimensional convolutional neural networks,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. CW1A.5, June 2019. doi:10.1364/COSI.2019.CW1A.5

129. Sidhant Gupta, Thanh Bui, King-Shan Lui, and Edmund Y. Lam, “Laser quadrat and photogrammetry based autonomous coral reef mapping ocean robot,” in Intelligent Robotics and Industrial Applications using Computer Vision, pp. 450(1)–450(6), January 2019. doi:10.2352/ISSN.2470-1173.2019.7.IRIACV-450
     Best Student Paper Award

130. Edmund Y. Lam, “Holographic imaging and reconstruction using machine learning,” in Advances in Optoelectronics and Micro/nano-optics, pp. InF21, October 2018.
     Invited Paper at the conference

131. Jun Ke and Edmund Y. Lam, “Temporal super-resolution in full waveform LiDAR,” in Emerging Imaging and Sensing Technologies for Security and Defence, volume 10799 of Proceedings of the SPIE, pp. 1079906, September 2018. doi:10.1117/12.2327001

132. Zhenbo Ren, Zhimin Xu, and Edmund Y. Lam, “Phase aberration compensation in digital holographic microscopy using regression analysis,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. JTh3B.5, June 2018. doi:10.1364/3D.2018.JTh3B.5

133. Tianjiao Zeng, Zhenbo Ren, and Edmund Y. Lam, “Speckle suppression using the convolutional neural network with an exponential linear unit,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. CW5B.3, June 2018. doi:10.1364/COSI.2018.CW5B.3

134. Jun Ke and Edmund Y. Lam, “Temporal super-resolution full waveform LiDAR,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. CTh3C.1, June 2018. doi:10.1364/COSI.2018.CTh3C.1

135. Jiqiang Kang, Cihang Kong, Pingping Feng, Can Li, Zhi-Chao Luo, Edmund Y. Lam, Kevin K. Tsia, and Kenneth K. Y. Wong, “Three-photon fluorescence microscopic imaging by a compact Er-doped fiber laser at 1.6 um,” in Conference on Lasers and Electro-Optics (CLEO), pp. SW4J.5, May 2018. doi:10.1364/CLEOSI.2018.SW4J.5

136. Edmund Y. Lam, “Computational holographic imaging and reconstruction,” in Computational Optics, volume 10694 of Proceedings of the SPIE, May 2018.
     Invited Paper at the conference

137. Edmund Y. Lam, “Computational imaging and reconstruction in digital holographic microscopy,” in Biomedical Imaging and Sensing Conference, volume 10711 of Proceedings of the SPIE, pp. 1071104, April 2018. doi:10.1117/12.2315322
     Invited Paper at the conference

138. Edmund Y. Lam, “Computational ultrafast optical imaging for single-cell inspection and analysis,” in Intelligent Robotics and Industrial Applications using Computer Vision, January 2018.
     Invited Paper at the conference

139. Edmund Y. Lam, Nan Meng, and Hayden K.H. So, “Deep convolutional neural network for single-cell image analysis,” in High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management, volume 10505 of Proceedings of the SPIE, pp. 105050K, January 2018. doi:10.1117/12.2295469

140. Zhimin Xu, Si Zuo, and Edmund Y. Lam, “End-to-end learning for digital hologram reconstruction,” in High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management, volume 10505 of Proceedings of the SPIE, pp. 1050510, January 2018. doi:10.1117/12.2288141

141. Zhenbo Ren, Zhimin Xu, and Edmund Y. Lam, “Autofocusing in digital holography using deep learning,” in Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing, volume 10499 of Proceedings of the SPIE, pp. 104991V, January 2018. doi:10.1117/12.2289282

142. Chi-Un Lei, Cheuk-Wang Yau, K.S. Lui, Paul Yum, Vincent Tam, Allan H.K. Yuen, and Edmund Y. Lam, “Teaching internet of things: Enhancing learning efficiency via full-semester flipped classroom,” in IEEE International Conference on Teaching, Assessment and Learning for Engineering, pp. 56–60, December 2017. doi:10.1109/TALE.2017.8252304

143. Richard Du, W.H.K. Chiu, E.Y.P. Lee, Herbert Pang, Edmund Y. Lam, and Varut Vardhanabhuti, “Inter-session reproducibility and consistency of radiomic features after preprocessing as methods for quality control in MRI quantitative radiomics,” in 7th Joint Scientific Meeting of The Royal College of Radiologists and Hong Kong College of Radiologists and 25th Annual Scientific Meeting of Hong Kong College of Radiologists, pp. PP-RAD C8, November 2017.

144. Jiqiang Kang, Pingping Feng, Xiaoming Wei, Edmund Y. Lam, Kevin K. Tsia, and Kenneth K. Wong, “Ultrafast and broadband inertia-free swept source for optical coherence tomography,” in Asia Communications and Photonics Conference, pp. Su1I.4, November 2017. doi:10.1364/ACPC.2017.Su1I.4

145. Runbin Shi, Antony C.S. Chan, Edmund Y. Lam, and Hayden K.-H. So, “Image super-resolution for ultrafast optical time-stretch imaging,” in 24th Congress of the International Commission for Optics, pp. W1F-08, August 2017.

146. Xiaofei Wu, Tim Füehner, Andreas Erdmann, and Edmund Y. Lam, “Level-set-based inverse lithography under random field shape uncertainty in a vector Hopkins imaging model,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. CW1B.4, June 2017. doi:10.1364/COSI.2017.CW1B.4

147. Haiyan Ou, Yong Wu, Edmund Y. Lam, and Bing-Zhong Wang, “Enhanced edge extraction using spiral phase plate in optical scanning holography based on Gaussian beam apodization,” in OSA Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. W2A.26, May 2017. doi:10.1364/DH.2017.W2A.26

148. Zhenbo Ren and Edmund Y. Lam, “Edge-preserving autofocusing in digital holography,” in OSA Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. W2A.29, May 2017. doi:10.1364/DH.2017.W2A.29

149. Nan Meng, Hayden K.-H. So, and Edmund Y. Lam, “Computational single-cell classification using deep learning on bright-field and phase images,” in IAPR Conference on Machine Vision Applications, pp. 164–167, May 2017.

150. Chandra Jinata, Luoqin Yu, Naushad Hossain, Zhenbo Ren, Edmund Y. Lam, Marco C. Wong, Wing-Tat Chan, Hector K. Wang, Gus C. Chan, Kin-Tak Chan, Nikki P. Lee, and Kenneth K.Y. Wong, “Enhanced esophageal tumor imaging with optical coherence tomography using gold nanoparticles,” in Reporters, Markers, Dyes, Nanoparticles, and Molecular Probes for Biomedical Applications, volume 10079 of Proceedings of the SPIE, January 2017.

151. Anson H.L. Tang, Antony C.S. Chan, Kelvin C.M. Lee, Edmund Y. Lam, Kenneth K.Y. Wong, and Kevin K. Tsia, “High-throughput time-stretch imaging cellular assay based on a DVD spinning platform,” in Real-time Photonic Measurements, Data Management, and Processing, volume 10026 of Proceedings of the SPIE, October 2016.

152. Zhenbo Ren and Edmund Y. Lam, “Super-resolution imaging in optical scanning holography using structured illumination,” in Holography, Diffractive Optics, and Applications, volume 10022 of Proceedings of the SPIE, pp. 1002203, October 2016. doi:10.1117/12.2247791
     Invited Paper at the conference

153. Anson H.L. Tang, Antony C.S. Chan, P. Yeung, Barbara P. Chan, Edmund Y. Lam, Kenneth K.Y. Wong, and Kevin K. Tsia, “High-throughput time-stretch imaging cellular assay based on a high-speed spinning platform,” in IEEE Photonics Conference, pp. TuE2.2, October 2016. doi:10.1109/IPCon.2016.7831140

154. Xing Sun, Zhimin Xu, Nan Meng, Edmund Y. Lam, and Hayden K.-H. So, “Data-driven light field depth estimation using deep convolutional neural networks,” in IEEE International Joint Conference on Neural Networks, pp. 367–374, July 2016. doi:10.1109/IJCNN.2016.7727222

155. Xing Sun, Nan Meng, Zhimin Xu, Edmund Y. Lam, and Hayden K.-H. So, “Sparse hierarchical nonparametric Bayesian learning for light field representation and denoising,” in IEEE International Joint Conference on Neural Networks, pp. 3272–3279, July 2016. doi:10.1109/IJCNN.2016.7727617

156. Xiaofei Wu, Andreas Erdmann, Tim Füehner, and Edmund Y. Lam, “Evaluation of photomask shape uncertainties on level-set-based inverse lithography with a rigorous mask model,” in European Mask and Lithography Conference, June 2016.

157. Jianglai Wu, Yiqing Xu, Xiaoming Wei, Jingjiang Xu, Antony C.S. Chan, Edmund Y. Lam, Kenneth K. Wong, and Kevin K. Tsia, “Active, large-scale tuning of optical dispersion by free-space angular-chirp-enhanced delay (FACED),” in Conference on Lasers and Electro-Optics (CLEO), pp. SM4I.1, June 2016. doi:10.1364/CLEOSI.2016.SM4I.1

158. Mimansha Gupta, Vincent Tam, and Edmund Y. Lam, “Enhancing a mobile and personalized learning platform through facial analytics and interactive quizzes,” in International Mobile Learning Festival, May 2016.

159. Chul Lee and Edmund Y. Lam, “High dynamic range imaging via truncated nuclear norm minimization of low-rank matrix,” in International Conference on Acoustics, Speech, and Signal Processing, pp. 1229–1233, March 2016.

160. Edmund Y. Lam and Xiaofei Wu, “Impact of photomask shape uncertainties on computational lithography,” in China Semiconductor Technology International Conference (CSTIC), pp. 1–4, March 2016.
     Invited Paper at the conference

161. Xiaofei Wu, Shiyuan Liu, Andreas Erdmann, and Edmund Y. Lam, “Incorporating photomask shape uncertainty in computational lithography,” in Optical Microlithography, volume 9780 of Proceedings of the SPIE, pp. 97800Q, February 2016. doi:10.1117/12.2220278

162. Xing Sun, Nelson H.C. Yung, Edmund Y. Lam, and Hayden K.-H. So, “Unsupervised tracking with a low computational cost using the doubly stochastic Dirichlet process mixture model,” in Image Processing: Machine Vision Applications, pp. IPMVA-381, February 2016. doi:10.2352/ISSN.2470-1173.2016.14.IPMVA-381

163. Antony C.S. Chan, Edmund Y. Lam, and Kevin K. Tsia, “Pixel super-resolution of time-stretch imaging by an equivalent-time sampling concept,” in High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management, volume 9720 of Proceedings of the SPIE, pp. 972004, February 2016. doi:10.1117/12.2212034
     PiPhotonics Best Paper Award

164. Andy K.S. Lau, Anson H.L. Tang, Bob M.F. Chung, Kwok Yeung Tsang, Antony C.S. Chan, Xiaoming Wei, Kenneth K. Wong, Edmund Y. Lam, Kathryn S.E. Cheah, Anderson H.C. Shum, and Kevin K. Tsia, “Quantitative asymmetric-detection time-stretch optical microscopy (Q-ATOM) for ultrafast quantitative phase imaging flow cytometry,” in High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management, volume 9720 of Proceedings of the SPIE, pp. 97200Z, February 2016.

165. Vincent Tam, Edmund Y. Lam, S.T. Fung, W.W.T. Fok, and Allan H.K. Yuen, “Enhancing educational data mining techniques on online educational resources with a semi-supervised learning approach,” in IEEE International Conference on Teaching, Assessment and Learning for Engineering, pp. 210–213, December 2015.

166. Junnan Li and Edmund Y. Lam, “Facial expression recognition using deep neural networks,” in IEEE International Conference on Imaging Systems and Techniques, pp. 263–268, September 2015.

167. Zhenbo Ren, Ni Chen, Antony C.S. Chan, and Edmund Y. Lam, “Extended focused imaging in a holographic microscopy imaging system,” in IEEE International Conference on Imaging Systems and Techniques, pp. 67–72, September 2015.

168. Zhenbo Ren, Ni Chen, Antony Chan, and Edmund Y. Lam, “Autofocusing of optical scanning holography based on entropy minimization,” in OSA Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. DT4A.4, May 2015. doi:10.1364/DH.2015.DT4A.4

169. Ni Chen, Zhenbo Ren, Antony Chan, Xing Sun, and Edmund Y. Lam, “Depth enhancement of optical scanning holography with a spiral phase plate,” in OSA Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. DW2A.3, May 2015. doi:10.1364/DH.2015.DW2A.3

170. Haiyan Ou, Edmund Y. Lam, and Bing-Zhong Wang, “Edge extraction based on aperture synthesis in optical scanning holography,” in OSA Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. DW2A.6, May 2015. doi:10.1364/DH.2015.DW2A.6

171. Chongguo Li, Nelson H.C. Yung, and Edmund Y. Lam, “Human arm pose modeling with learned features using joint convolutional neural network,” in IAPR Conference on Machine Vision Applications, pp. 398–401, May 2015.

172. Antony Chan, Edmund Y. Lam, and Kevin K. Tsia, “Pixel super-resolution in optical time-stretch microscopy using acousto-optic deflector,” in OSA Topical Meeting in Bio-Optics: Design and Application, pp. BW2A.7, April 2015. doi:10.1364/BODA.2015.BW2A.7

173. Xiaofei Wu, Shiyuan Liu, and Edmund Y. Lam, “Computational techniques to incorporate shot count reduction into inverse lithography,” in China Semiconductor Technology International Conference (CSTIC), pp. 1–3, March 2015. doi:10.1109/CSTIC.2015.7153342
     SEMI ECS Best Student Paper Award

174. Fuqin Deng, Jia Chen, Jianyang Liu, Zhijun Zhang, Jiangwen Deng, Kenneth S.M. Fung, and Edmund Y. Lam, “An edge-from-focus approach to 3D inspection and metrology,” in Image Processing: Machine Vision Applications, volume 9405 of Proceedings of the SPIE, pp. 94050E, February 2015. doi:10.1117/12.2074757
     Best Paper Award (cum laude)

175. C.H. Tse, Yi-liang Li, and Edmund Y. Lam, “Geological applications of machine learning on hyperspectral remote sensing data,” in Image Processing: Machine Vision Applications, volume 9405 of Proceedings of the SPIE, pp. 940512, February 2015. doi:10.1117/12.2178400

176. Anson H.L. Tang, Antony C.S. Chan, P. Yeung, Belle S.M. Kwok, Barbara P. Chan, Edmund Y. Lam, Kenneth K.Y. Wong, and Kevin K. Tsia, “High throughput cellular time-stretch imaging on a spinning planar platform,” in Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues, volume 9328 of Proceedings of the SPIE, February 2015.

177. Vincent Tam, Edmund Y. Lam, and Y. Huang, “Facilitating a personalized learning environment through learning analytics on mobile devices,” in IEEE International Conference on Teaching, Assessment and Learning for Engineering, pp. 429–432, December 2014. doi:10.1109/TALE.2014.7062580

178. Antony C.S. Chan, Edmund Y. Lam, and Kevin K. Tsia, “Signal reduction in fluorescence imaging using radio frequency-multiplexed excitation by compressed sensing,” in Real-time Photonic Measurements, Data Management, and Processing, volume 9279 of Proceedings of the SPIE, pp. 92790U, October 2014. doi:10.1117/12.2072016

179. Xiaofei Wu, Wen Lv, Shiyuan Liu, and Edmund Y. Lam, “Application of basis function to robust and efficient lithography optimization,” in Fraunhofer IISB Lithography Simulation Workshop, September 2014.
     Invited Paper at the conference

180. Siyang Li and Edmund Y. Lam, “Efficient autofocusing in optical scanning holography,” in The Japan Society of Applied Physics and The Optical Society Joint Symposia, pp. 20a-C4-8, September 2014.
     Invited Paper at the conference

181. Kelly Liu, Victoria Tam, Phoebe Tse, Edmund Y. Lam, and Vincent Tam, “Developing the PETAL e-learning platform for personalized teaching and learning,” in International Conference on Smart Learning Environments, July 2014.

182. Edmund Y. Lam, “Computational sectioning and resolution enhancement in optical scanning holography,” in OSA Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. DTu2B.1, July 2014.
     Invited Paper at the conference

183. Antony C.S. Chan, Kenneth K.Y. Wong, Kevin K. Tsia, and Edmund Y. Lam, “Reducing the acquisition time of optical scanning holography by compressed sensing,” in OSA Topical Meeting in Signal Recovery and Synthesis, pp. SM4F.4, July 2014.

184. Haiyan Ou, Kenneth K.Y. Wong, and Edmund Y. Lam, “High-resolution section recovery using a configurable pupil in a scanning holographic microscopy,” in OSA Topical Meeting in Signal Recovery and Synthesis, pp. SM4F.2, July 2014.

185. Jun Ke, Ping Wei, and Edmund Y. Lam, “Binary sensing matrix design for compressive imaging measurements,” in OSA Topical Meeting in Signal Recovery and Synthesis, pp. SM2F.7, July 2014.

186. Antony C.S. Chan, Andy K.S. Lau, Kenneth K.Y. Wong, Edmund Y. Lam, and Kevin K. Tsia, “Two-dimensional spectral-encoding for high speed arbitrary patterned illumination,” in Conference on Lasers and Electro-Optics (CLEO), pp. STh1H, June 2014. doi:10.1364/CLEOSI.2014.STh1H.2

187. Yiqing Xu, Xiaoming Wei, Antony C. Chan, Edmund Y. Lam, Kenneth Wong, and Kevin Tsia, “Optical time-stretch microscopy using Bessel spectral shower illumination,” in Conference on Lasers and Electro-Optics (CLEO), pp. ATu3P, June 2014. doi:10.1364/CLEOAT.2014.ATu3P.6

188. Jia Li and Edmund Y. Lam, “Joint optimization of source, mask, and pupil in optical lithography,” in Optical Microlithography, volume 9052 of Proceedings of the SPIE, pp. 90520S, February 2014. doi:10.1117/12.2045739

189. Antony C. Chan, Terence T.W. Wong, Kenneth K.Y. Wong, Edmund Y. Lam, and Kevin K. Tsia, “Revisit laser scanning fluorescence microscopy performance under fluorescence-lifetime-limited regime,” in Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues, volume 8947 of Proceedings of the SPIE, pp. 894726, February 2014. doi:10.1117/12.2038766

190. Aaron C. Chan, Conrad W. Merkle, Edmund Y. Lam, and Vivek J. Srinivasan, “Maximum likelihood estimation of blood velocity using Doppler optical coherence tomography,” in Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine, volume 8934 of Proceedings of the SPIE, pp. 89342J, February 2014. doi:10.1117/12.2036491

191. Fuqin Deng, Jianyang Liu, Jiangwen Deng, Kenneth S.M. Fung, and Edmund Y. Lam, “A three-dimensional imaging system for surface profilometry of moving objects,” in IEEE International Conference on Imaging Systems and Techniques, pp. 343–347, October 2013.

192. Jun Ke, Ping Wei, Xin Zhang, and Edmund Y. Lam, “Block-based compressive low-light-level imaging,” in IEEE International Conference on Imaging Systems and Techniques, pp. 311–316, October 2013.

193. Andy K.S. Lau, Terence T.W. Wong, Kenneth K.Y. Ho, Matthew Y.H. Tang, Joseph D.F. Robles, Xiaoming Wei, Antony C.S. Chan, Anson H.L. Tang, Edmund Y. Lam, Kenneth K.Y. Wong, Godfrey C.F. Chan, Ho Cheung Shum, and Kevin K. Tsia, “Ultrafast high-contrast microfluidic cellular imaging by asymmetric-detection time-stretch optical microscopy (ATOM),” in OSA Frontiers in Optics, pp. FW6A.7, October 2013.
     Post-deadline Paper

194. Jia Li, Shiyuan Liu, and Edmund Y. Lam, “Efficient source and mask optimization with augmented Lagrangian methods in optical lithography,” in Fraunhofer IISB Lithography Simulation Workshop, September 2013.
     Invited Paper at the conference

195. Edmund Y. Lam, “Computational imaging technology for nanolithography,” in The Japan Society of Applied Physics and The Optical Society Joint Symposia, pp. 17p-D5-10, September 2013.
     Invited Paper at the conference

196. Vincent Tam, S.T. Fung, Alex Yi, and Edmund Y. Lam, “Applying an evolutionary approach for learning path optimization in the next-generation e-learning systems,” in IEEE International Conference on Advanced Learning Technologies, pp. 120–122, July 2013.

197. Vincent Tam, Alex Yi, and Edmund Y. Lam, “Building an interactive simulator on a cloud computing platform to enhance students’ understanding of computer systems,” in IEEE International Conference on Advanced Learning Technologies, pp. 154–155, July 2013.

198. Vincent Tam, Alex Yi, Edmund Y. Lam, Cecilia Chan, and Allan H.K. Yuen, “Using cloud computing and mobile devices to facilitate students’ learning through e-learning games,” in IEEE International Conference on Advanced Learning Technologies, pp. 471–472, July 2013.

199. Xiaofei Wu, Shiyuan Liu, Jia Li, and Edmund Y. Lam, “Efficient source mask optimization with Zernike polynomial function-based source representation,” in OSA Meeting on Nanophotonics, Nanoelectronics and Nanosensor, pp. NSa3A.15, May 2013.

200. Xiaofei Wu, Shiyuan Liu, and Edmund Y. Lam, “Fast aerial image simulation of partially coherent illumination system for source mask optimization,” in OSA Conference on Advances in Optoelectronics and Micro/Nano Optics, pp. 135, May 2013.

201. Haiyan Ou, Kenneth K.Y. Wong, Ting-Chung Poon, and Edmund Y. Lam, “Depth resolution enhancement using double-detection in optical scanning holography,” in OSA Conference on Advances in Optoelectronics and Micro/Nano Optics, pp. 105, May 2013.

202. Luhong Liang, King Hung Chiu, and Edmund Y. Lam, “Fast single frame super-resolution using scale-invariant self-similarity,” in IEEE International Symposium on Circuits and Systems, pp. 1191–1194, May 2013. doi:10.1109/ISCAS.2013.6572065

203. Andy K.S. Lau, Terence T.W. Wong, Antony C.S. Chan, Edmund Y. Lam, Kenneth K.Y. Wong, and Kevin K. Tsia, “Interferometric time-stretch microscopy for ultrafast quantitative cellular imaging at 1um,” in OSA Topical Meeting in Novel Techniques in Microscopy, pp. NW1B.4, April 2013.

204. Terence T.W. Wong, Matthew Y.H. Tang, Andy K.S. Lau, Antony C.S. Chan, Edmund Y. Lam, Kenneth K.Y. Wong, Anderson H.C. Shum, and Kevin K. Tsia, “Ultrafast flow imaging by 1um time-stretch microscopy,” in OSA Topical Meeting in Novel Techniques in Microscopy, pp. NW1B.5, April 2013.

205. Jia Li and Edmund Y. Lam, “Efficient mask synthesis with augmented Lagrangian methods in computational lithography,” in China Semiconductor Technology International Conference (CSTIC), March 2013. Published in ECS Transactions, vol. 52, no. 1, pp. 163–168, March 2013. doi:10.1149/05201.0163ecst
     Invited Paper at the conference

206. Corbett Rowell and Edmund Y. Lam, “Ten element 4G antenna array for tablets,” in Electronic Design Innovation Conference, March 2013.

207. Aaron C. Chan, Edmund Y. Lam, and Vivek J. Srinivasan, “Doppler frequency estimators under additive and multiplicative noise,” in Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine, volume 8571 of Proceedings of the SPIE, pp. 85712H, February 2013. doi:10.1117/12.2001188

208. Fuqin Deng, Zhao Li, Jia Chen, Jiangwen Deng, Kenneth S.M. Fung, and Edmund Y. Lam, “An elliptic phase-shifting algorithm for high speed three-dimensional profilometry,” in Image Processing: Machine Vision Applications, volume 8661 of Proceedings of the SPIE, pp. 86610S, February 2013. doi:10.1117/12.2001417

209. Fuqin Deng, Chang Liu, Wuifung Sze, Jiangwen Deng, Kenneth S.M. Fung, and Edmund Y. Lam, “A polynomial phase-shift algorithm for high precision three-dimensional profilometry,” in Image Processing: Machine Vision Applications, volume 8661 of Proceedings of the SPIE, pp. 866102, February 2013. doi:10.1117/12.2001418

210. Aaron C. Chan, Edmund Y. Lam, and Vivek J. Srinivasan, “Optimal doppler frequency estimators for ultrasound and optical coherence tomography,” in IEEE Biomedical Circuits and Systems Conference, pp. 264–267, November 2012. doi:10.1109/BioCAS.2012.6418446

211. Xiang Meng, Chung-Ming Cheung, Ka-Lok Ho, King-Shan Lui, Edmund Y. Lam, and Vincent Tam, “Building smart cameras on mobile tablets for hand gesture recognition,” ACM/IEEE International Conference on Distributed Smart Cameras, October 2012.

212. Chi-Un Lei, Hayden Kwok-Hay So, Edmund Y. Lam, Kenneth Kin-Yip Wong, Ricky Yu-Kwong Kwok, and Cecilia K.Y. Chan, “Teaching introductory electrical engineering: A project-based learning experience,” in IEEE International Conference on Teaching, Assessment and Learning for Engineering, pp. 335–339, August 2012.

213. Zhimin Xu and Edmund Y. Lam, “A high-resolution lightfield camera with dual-mask design,” in Image Reconstruction from Incomplete Data, volume 8500 of Proceedings of the SPIE, pp. 85000U, August 2012.

214. Qing Wang, Edmund Y. Lam, and Ngai Wong, “New impulse (noncausality) test for descriptor systems by Mobius-transformation,” in Chinese Control Conference, pp. 2759–2764, July 2012.

215. Corbett Rowell and Edmund Y. Lam, “Band-stop filter effect of multiple slots in mobile phone antennas,” in IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, July 2012.

216. Corbett Rowell and Edmund Y. Lam, “Tuning the band-stop filter effect in mobile phone antennas,” in IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, July 2012.

217. Vincent Tam, Edmund Y. Lam, and S.T. Fung, “Toward a complete e-learning system framework for semantic analysis, concept clustering and learning path optimization,” in IEEE International Conference on Advanced Learning Technologies, pp. 592–596, July 2012.
     Best Paper Award

218. Jun Ke and Edmund Y. Lam, “Nonlinear image reconstruction in block-based compressive imaging,” in IEEE International Symposium on Circuits and Systems, pp. 2917–2920, May 2012.

219. Rui Zhu, Jianbing Xu, Edmund Y. Lam, and Kenneth K.Y. Wong, “Dual-Band FDML laser for swept source spectroscopic OCT,” in OSA Topical Meeting in Biomedical Optics, pp. BW2A.2, April 2012.

220. Jia Li, Ningning Jia, and Edmund Y. Lam, “Hotspot-aware robust mask design with inverse lithography,” in China Semiconductor Technology International Conference (CSTIC), March 2012. Published in ECS Transactions, vol. 44, no. 1, pp. 197–202, March 2012. doi:10.1149/1.3694316
     Invited Paper at the conference

221. Jun Ke, Rui Zhu, and Edmund Y. Lam, “Image reconstruction from nonuniformly-spaced samples in Fourier domain optical coherence tomography,” in Computational Imaging, volume 8296 of Proceedings of the SPIE, pp. 829610, January 2012. doi:10.1117/12.907331

222. Fuqin Deng, Chang Liu, Wuifung Sze, Jiangwen Deng, Kenneth S.M. Fung, W.H. Leung, and Edmund Y. Lam, “An illumination-invariant phase-shifting algorithm for three-dimensional profilometry,” in Image Processing: Machine Vision Applications, volume 8300 of Proceedings of the SPIE, pp. 83000D, January 2012. doi:10.1117/12.911113

223. Rui Zhu, Jianbing Xu, Chi Zhang, Kenneth K. Y. Wong, and Edmund Y. Lam, “High-speed spectroscopic OCT around 1550nm based on dual-band swept laser source,” in Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine, volume 8213 of Proceedings of the SPIE, pp. 82132O, January 2012.

224. Edmund Y. Lam, “Computational photography: Advances and challenges,” in Tribute to Joseph W. Goodman, volume 8122 of Proceedings of the SPIE, pp. 81220O, August 2011.

225. Jun Ke, Rui Zhu, and Edmund Y. Lam, “Image reconstruction from nonuniform samples in spectral domain optical coherence tomography,” in OSA Topical Meeting in Signal Recovery and Synthesis, pp. SMD2, July 2011.

226. Zhimin Xu and Edmund Y. Lam, “Light field superresolution reconstruction in computational photography,” in OSA Topical Meeting in Signal Recovery and Synthesis, pp. SMB3, July 2011.
     Top Downloaded SRS Meeting InfoBase Papers

227. Stanley Chan, Ankit Jain, Truong Nguyen, and Edmund Y. Lam, “Bounds for the condition numbers of spatially-variant convolution matrices in image restoration problems,” in OSA Topical Meeting in Signal Recovery and Synthesis, pp. SMA4, July 2011.

228. Fuqin Deng and Edmund Y. Lam, “Three-dimensional surface recovery with a regularized multi-frame phase shift algorithm,” in OSA Topical Meeting in Signal Recovery and Synthesis, pp. SMD3, July 2011.

229. S.T. Fung, Vincent Tam, and Edmund Y. Lam, “Enhancing learning paths with concept clustering and rule-based optimization,” in IEEE International Conference on Advanced Learning Technologies, pp. 249–253, July 2011.

230. Corbett Rowell and Edmund Y. Lam, “A novel antenna isolation method for mobile phone antennas,” in IEEE International Symposium on Antennas and Propagation, pp. 1922–1925, July 2011.

231. Jun Ke and Edmund Y. Lam, “Using a dual-wavelength source for depth resolution enhancement in optical scanning holography,” in OSA Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. DTuC30, May 2011.

232. Ningning Jia and Edmund Y. Lam, “Robustness enhancement in optical lithography: From pixelated mask optimization to pixelated source-mask optimization,” in China Semiconductor Technology International Conference (CSTIC), March 2011. Published in ECS Transactions, vol. 34, no. 1, pp. 203–208, March 2011.
     Invited Paper at the conference

233. Ningning Jia and Edmund Y. Lam, “Performance analysis of pixelated source-mask optimization for optical microlithography,” in IEEE International Conference on Electron Devices and Solid-State Circuits, December 2010.

234. Vincent W.L. Tam, Edmund Y. Lam, C.H. Leung, Diane Salter, S.T. Fung, and Johnny Yeung, “An interactive COMPAD simulator to facilitate education in computer systems,” in International Conference on Enhancing Learning Experiences in Higher Education, December 2010.

235. Xianglin Li, Jun Ke, Xin Zhang, and Edmund Y. Lam, “Bayesian reconstruction in optical scanning holography,” in OSA Frontiers in Optics, pp. FThBB4, October 2010.

236. Zhimin Xu and Edmund Y. Lam, “Hyperspectral THz image reconstruction,” in OSA Frontiers in Optics, pp. FTuD2, October 2010.

237. Zhimin Xu and Edmund Y. Lam, “A spatial projection analysis of light field capture,” in OSA Frontiers in Optics, pp. FWH2, October 2010.

238. Aaron C.W. Chan and Edmund Y. Lam, “Image refocus in geometrical optical phase space,” in OSA Frontiers in Optics, pp. FWH4, October 2010.

239. Rui Zhu, Kyle H.Y. Cheng, Edmund Y. Lam, Franco N.C. Wong, and Kenneth K.Y. Wong, “Power enhanced and fast swept source for phase conjugate optical coherence tomography,” in OSA Frontiers in Optics, pp. FTuY1, October 2010.

240. Hayden K.-H. So, Sammy H.M. Kwok, Edmund Y. Lam, and King-Shan Lui, “Zero-configuration identity-based signcryption scheme for smart grid,” in IEEE International Conference on Smart Grid Communications, pp. 321–326, October 2010.

241. Ningning Jia and Edmund Y. Lam, “Stochastic gradient descent for robust inverse photomask synthesis in optical lithography,” in IEEE International Conference on Image Processing, pp. 4173–4176, September 2010.

242. Xin Zhang and Edmund Y. Lam, “Sectional image reconstruction in optical scanning holography using compressed sensing,” in IEEE International Conference on Image Processing, pp. 3349–3352, September 2010.

243. Xin Zhang and Edmund Y. Lam, “Edge detection of three-dimensional object by manipulating pupil functions in optical scanning holography system,” in IEEE International Conference on Image Processing, pp. 3661–3664, September 2010.

244. Giuseppe Y. Mak, Yuk Fai Cheung, Edmund Y. Lam, and Hoi Wai Choi, “Liquid-immersion laser micromachining of GaN trenches and its application in device fabrication,” in International Workshop on Nitride Semiconductors, September 2010.

245. Giuseppe Y. Mak, Ling Zhu, Edmund Y. Lam, and Hoi Wai Choi, “Plasmonically-enhanced quantum-dot white-light InGaN light-emitting diode,” in International Workshop on Nitride Semiconductors, September 2010.

246. Giuseppe Y. Mak, Edmund Y. Lam, and H. W. Choi, “Capacitively-coupled alternating-current light-emitting device for 12V applications,” in International Symposium on the Science and Technology of Light Sources / International Conference on White LEDs and Solid State Lighting, pp. 43–44, July 2010.

247. S.T. Fung, Vincent Tam, and Edmund Y. Lam, “Improving an interactive simulator for computer systems with learning objects,” in International Conference on Education Technology and Computer, vol. 3, pp. 16–20, June 2010.

248. Zhimin Xu and Edmund Y. Lam, “Hyperspectral reconstruction in biomedical imaging using terahertz systems,” in IEEE International Symposium on Circuits and Systems, pp. 2079–2082, May 2010.

249. A. M. Tang, J. S. Ananta, H. Zhao, B. T. Cisneros, Edmund Y. Lam, S. T. Wong, L. J. Wilson, and K. K. Wong, “Cellular uptake and imaging studies of gadolinium-loaded single-walled carbon nanotubes,” in International Society of Magnetic Resonance in Medicine Annual Meeting, pp. 4189, May 2010.

250. Yijiang Shen, Ngai Wong, and Edmund Y. Lam, “Aberration-aware robust mask design with level-set-based inverse lithography,” in Photomask and Next-Generation Lithography Mask Technology, volume 7748 of Proceedings of the SPIE, pp. 77481U, April 2010.

251. Edmund Y. Lam, “Regularization in inverse lithography: Enhancing manufacturability and robustness to process variations,” in China Semiconductor Technology International Conference (CSTIC), March 2010. Published in ECS Transactions, vol. 27, no. 1, pp. 427–432, March 2010.
     Invited Paper at the conference

252. Kyle H.Y. Cheng, Beau A. Standish, Victor X.D. Yang, K.K.Y. Cheung, Xijia Gu, Edmund Y. Lam, and Kenneth Y. Wong, “Hybrid Fourier domain modelocked laser utilizing a fiber optical parametric amplifier and an erbium doped fiber amplifier,” in Fiber Lasers VII: Technology, Systems, and Applications, volume 7580 of Proceedings of the SPIE, pp. 75802Q, January 2010.

253. Ningning Jia, Alfred K. Wong, and Edmund Y. Lam, “Regularization of inverse photomask synthesis to enhance manufacturability,” in Lithography Asia, volume 7520 of Proceedings of the SPIE, pp. 75200E, November 2009.

254. Giuseppe Y. Mak, Edmund Y. Lam, and H. W. Choi, “Deep etch of GaN by laser micromachining,” in International Conference on Nitride Semiconductors, pp. 1383–1384, October 2009.

255. Zhimin Xu, Wai Lam Chan, Daniel M. Mittleman, and Edmund Y. Lam, “Sparse reconstruction of complex signals in compressed sensing Terahertz imaging,” in OSA Topical Meeting in Signal Recovery and Synthesis, pp. STuA4, October 2009.
     Top Downloaded SRS Meeting InfoBase Papers

256. Annie M. Tang, Kelvin Wong, Jeyarama S. Ananta, Edmund Y. Lam, Lon J. Wilson, and Stephen T. Wong, “Comparison of Gadolinium loaded and empty carbon nanotubes as high performance MRI contrast agent,” in World Molecular Imaging Congress, pp. 0604, September 2009.

257. Xin Zhang, Edmund Y. Lam, and T.-C. Poon, “Reconstruction of multiple sectional images in optical scanning holography,” in WACBE World Congress on Bioengineering, pp. 86–87, July 2009.

258. Johnny Yeung, Vincent Tam, Edmund Y. Lam, and C.H. Leung, “Developing an innovative and pen-based simulator to enhance education and research in computer systems,” in IEEE International Conference on Advanced Learning Technologies, pp. 267–269, July 2009.

259. Vincent Tam, Johnny Yeung, C.H. Leung, Edmund Y. Lam, and Diane Salter, “An interactive and pen-based simulator to enhance education and research in computer systems: An experience report,” in International Conference on ICT in Teaching and Learning, pp. 18–26, July 2009.

260. Xiansheng Guo, Qun Wan, Chunqi Chang, and Edmund Y. Lam, “An improved direction-of-arrival estimation via phase information of sparse solution,” in IEEE International Symposium on Circuits and Systems, pp. 1867–1870, May 2009.

261. Z.G. Zhang, S.C. Chan, X. Zhang, Edmund Y. Lam, E.X. Wu, and Y. Hu, “High-resolution reconstruction of human brain MRI image based on local polynomial regression,” in IEEE EMBS Conference on Neural Engineering, pp. 245–248, April 2009.

262. Xin Zhang, Edmund Y. Lam, and T.-C. Poon, “Fast iterative sectional image reconstruction in optical scanning holography,” in OSA Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. DMA3, April 2009.

263. Alfred K.K. Wong and Edmund Y. Lam, “Computation lithography: Virtual reality and virtual virtuality,” in International Semiconductor Technology Conference and China Semiconductor Technology International Conference (ISTC/CSTIC), March 2009. Published in ECS Transactions, vol. 18, no. 1, pp. 351–356, March 2009.
     Keynote Address at the conference

264. Alfred K.K. Wong and Edmund Y. Lam, “The nebulous hotspot and algorithm variability,” in Design for Manufacturability through Design-Process Integration, volume 7275 of Proceedings of the SPIE, pp. 727509, February 2009.

265. Fuqin Deng, Kenneth S.M. Fung, Jiangwen Deng, and Edmund Y. Lam, “An edge detection algorithm based on rectangular Gaussian kernels for machine vision applications,” in Image Processing: Machine Vision Applications, volume 7251 of Proceedings of the SPIE, pp. 72510N, January 2009.

266. Yijiang Shen, Ngai Wong, and Edmund Y. Lam, “Interconnect thermal simulation with higher order spatial accuracy,” in IEEE Asia Pacific Conference on Circuits and Systems, pp. 566–569, November 2008.

267. Edmund Y. Lam, “Non-negative matrix factorization for images with Laplacian noise,” in IEEE Asia Pacific Conference on Circuits and Systems, pp. 798–801, November 2008.

268. Xin Zhang, Ting-Chung Poon, and Edmund Y. Lam, “An inverse imaging approach to sectional image reconstruction in optical scanning holography,” in International Topical Meeting on Information Photonics, November 2008.

269. Ningning Jia, Alfred K. Wong, and Edmund Y. Lam, “Robust mask design with defocus variation using inverse synthesis,” in Lithography Asia, volume 7140 of Proceedings of the SPIE, pp. 71401W, November 2008.
     Best Student Paper Award

270. Annie M. Tang, Xin Zhang, and Edmund Y. Lam, “Image post-processing for MRI noise reduction in simultaneous ultrasound and MRI imaging,” in Biomedical Engineering International Conference, October 2008.

271. Xin Zhang and Edmund Y. Lam, “Super-resolution reconstruction using regularization based on gradient vector field,” in Biomedical Engineering International Conference, October 2008.

272. Jun Cheng, Ronald Chung, Edmund Y. Lam, and Kenneth S.M. Fung, “Handling of multi-reflections in wafer bump 3D reconstruction,” in International Conference on Systems, Man and Cybernetics, pp. 1558–1561, October 2008.

273. Stanley H. Chan and Edmund Y. Lam, “Inverse image problem of designing phase shifting masks in optical lithography,” in IEEE International Conference on Image Processing, pp. 1832–1835, October 2008.

274. Giuseppe Y. Mak, W. Y. Fu, Edmund Y. Lam, and H. W. Choi, “Metallic nanoparticle array on GaN by microsphere lithography,” in International Workshop on Nitride Semiconductors, p. 451, October 2008.

275. Xin Zhang and Edmund Y. Lam, “Regularization in super-resolution reconstruction of biomedical images using gradient vector field,” in 5th IEEE International Conference on Information Technology and Applications in Biomedicine, pp. 98–100, May 2008.

276. Annie M. Tang, Man-Cheuk Ng, and Edmund Y. Lam, “Image reconstruction of variable density undersampled EPI images,” in International Society of Magnetic Resonance in Medicine Annual Meeting, pp. 3149, May 2008.

277. Man-Cheuk Ng, J. Hua, P.C. van Zijl, Edward S. Yang, Y. Hu, Keith D.K. Luk, and Edmund Y. Lam, “Magnetization Transfer (MT) asymmetry in human cervical spinal cord,” in International Society of Magnetic Resonance in Medicine Annual Meeting, pp. 3404, May 2008.

278. Edmund Y. Lam, “Compact and thin multi-lens system for machine vision applications,” in Image Processing: Machine Vision Applications, volume 6813 of Proceedings of the SPIE, pp. 681305, January 2008.

279. Ying Zheng, Queenie C.C. Chan, Geng Li, Edmund Y. Lam, and Edward S. Yang, “A study of femoral artery by twin drivers in Magnetic Resonance Interference Elastography,” in 29th International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2034–2037, August 2007.

280. Ying Zheng, Geng Li, Min Chen, Queenie C.C. Chan, Shu-Guang Hu, Xu-Na Zhao, L. Richard Ehman, Edmund Y. Lam, and Edward S. Yang, “Magnetic Resonance Elastography with twin pneumatic drivers for wave compensation,” in 29th International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2611–2613, August 2007.

281. Annie M. Tang, Daniel F. Kacher, Edmund Y. Lam, Michael Bordsky, Ferenc A. Jolesz, and Edward S. Yang, “Multi-modal imaging: Simultaneous MRI and Ultrasound imaging for carotid arteries visualization,” in 29th International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2603–2606, August 2007.

282. Xin Zhang, Edmund Y. Lam, Ed X. Wu, and Kenneth K.Y. Wong, “Application of Tikhonov regularization to super-resolution reconstruction of brain MRI images,” in Medical Imaging and Informatics, pp. 46–51, August 2007. Also published in volume 4987 of Lecture Notes in Computer Science, pp. 51–56, 2008.

283. Dong Liang, Edmund Y. Lam, George S.K. Fung, and Xin Zhang, “Spiral MRI reconstruction using least squares quantization table,” in Medical Imaging and Informatics, pp. 517–522, August 2007. Also published in volume 4987 of Lecture Notes in Computer Science, pp. 287–293, 2008.

284. Mei Dong, Ronald Chung, Edmund Y. Lam, and Kenneth S.M. Fung, “Use of paraplanar constraint for parallel inspection of wafer bump heights,” in International Conference on Image Processing, Computer Vision, and Pattern Recognition, June 2007.

285. Kit-Yee Chow, King-Shan Lui, and Edmund Y. Lam, “Maximizing angle coverage in visual sensor networks,” in IEEE International Conference on Communications, pp. 3516–3521, June 2007.

286. Stanley H. Chan, Alfred K. Wong, and Edmund Y. Lam, “Inverse synthesis of phase-shifting mask for optical lithography,” in OSA Topical Meeting in Signal Recovery and Synthesis, SMD3, June 2007.

287. Yijiang Shen, Edmund Y. Lam, and Ngai Wong, “Binary image restoration by signomial programming,” in OSA Topical Meeting in Signal Recovery and Synthesis, SMA3, June 2007.

288. Kit-Yee Chow, King-Shan Lui, and Edmund Y. Lam, “Efficient selective image transmission in visual sensor networks,” in IEEE 65th Vehicular Technology Conference, April 2007.

289. Dong Liang, Edmund Y. Lam, and George S.K. Fung, “Direct reconstruction of spiral MRI using least squares quantization table,” in IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 105–108, April 2007.

290. Kit-Yee Chow, King-Shan Lui, and Edmund Y. Lam, “Achieving 360 degree angle coverage with minimum transmission cost in visual sensor networks,” in IEEE Wireless Communications and Networking Conference, pp. 4112–4116, March 2007.

291. Kai San Choi, Edmund Y. Lam, and Kenneth K.Y. Wong, “Source camera identification by JPEG compression statistics for image forensics,” in IEEE Tencon, November 2006.

292. Simon T.Y. Suen, Edmund Y. Lam, and Kenneth K.Y. Wong, “Image mosaicking with optimized matching of global and local contents,” in IEEE Tencon, November 2006.

293. Yijiang Shen, Edmund Y. Lam, and Ngai Wong, “Restoration of binary images using positive semidefinite programming,” in IEEE Tencon, November 2006.

294. Sammy H.M. Kwok and Edmund Y. Lam, “FPGA-based high-speed true random number generator for cryptographic applications,” in IEEE Tencon, November 2006.

295. Dong Liang and Edmund Y. Lam, “Image indexing using weighted color co-occurrence matrix and feature selection,” in IEEE Tencon, November 2006.

296. Simon T. Y. Suen, Edmund Y. Lam, and Kenneth K. Y. Wong, “Curvature domain image stitching,” in International Conference on Systems, Man and Cybernetics, pp. 3164–3169, October 2006.

297. Kai San Choi, Edmund Y. Lam, and Kenneth K.Y. Wong, “Feature selection in source camera identification,” in International Conference on Systems, Man and Cybernetics, pp. 3176–3180, October 2006.

298. Edmund Y. Lam, “Speckle statistics in homomorphic filtering of medical ultrasound images,” in World Congress on Medical Physics and Biomedical Engineering, p. 4706, August 2006.

299. Jun Cheng, Ronald Chung, Edmund Y. Lam, and Kenneth S.M. Fung, “Bit-pairing codification for binary pattern projection system,” in International Conference on Pattern Recognition, vol. 2, pp. 263–266, August 2006.

300. Wai-San Chan, Edmund Y. Lam, and Michael K. Ng, “Extending the depth of field in a compound-eye imaging system with super-resolution reconstruction,” in International Conference on Pattern Recognition, vol. 3, pp. 623–626, August 2006.

301. Yijiang Shen, Edmund Y. Lam, and Ngai Wong, “Binary image deconvolution with positive semidefinite programming,” in IAENG International Workshop on Imaging Engineering, pp. 537–542, June 2006.
     Best Student Paper Award

302. Wai-San Chan, Edmund Y. Lam and Michael K. Ng, “Investigation of computational compound-eye imaging system with super-resolution reconstruction,” in International Conference on Acoustics, Speech, and Signal Processing, vol. 4, pp. 1177–1180, May 2006.

303. Jun Cheng, Ronald Chung, and Edmund Y. Lam, “Structured light-based 3D reconstruction for device with a tiny size,” in European Conference on Computer Vision's 2nd Workshop on Applications of Computer Vision, pp. 128–136, May 2006.

304. Kit-Yee Chow, King-Shan Lui, and Edmund Y. Lam, “Balancing image quality and energy consumption in visual sensor networks,” in International Symposium on Wireless Pervasive Computing, January 2006.

305. Simon T. Y. Suen, Edmund Y. Lam, and Kenneth K. Y. Wong, “Digital photograph stitching with optimized matching of gradient and curvature,” in Digital Photography II, volume 6069 of Proceedings of the SPIE, pp. 139–154, January 2006.

306. Kai San Choi, Edmund Y. Lam, and Kenneth K.Y. Wong, “Source camera identification using footprints from lens aberration,” in Digital Photography II, volume 6069 of Proceedings of the SPIE, pp. 155–162, January 2006.

307. Yuan Shu, Ronald Chung, Zheng Tan, Jun Cheng, Edmund Y. Lam, Kenneth S.M. Fung, and Fan Wang, “A novel design of grating projecting system for 3D reconstruction of wafer bumps,” in Three-Dimensional Image Capture and Applications VII, volume 6056 of Proceedings of the SPIE, pp. 1–10, January 2006.

308. Zhan Song, Ronald Chung, Jun Cheng, and Edmund Y. Lam, “Surface orientation recovery of specular micro-surface via binary pattern projection,” in Machine Vision Applications in Industrial Inspection XIV, volume 6070 of Proceedings of the SPIE, pp. 254–262, January 2006.

309. Mei Dong, Ronald Chung, Yang Zhao, and Edmund Y. Lam, “Height inspection of wafer bumps without explicit 3D reconstruction,” in Machine Vision Applications in Industrial Inspection XIV, volume 6070 of Proceedings of the SPIE, pp. 27–34, January 2006.

310. Jun Cheng, Ronald Chung, Edmund Y. Lam, Kenneth S.M. Fung, Fan Wang, and W.H. Leung, “Boundary detection of projected fringes on surface with inhomogeneous reflectance function,” in Machine Vision Applications in Industrial Inspection XIV, volume 6070 of Proceedings of the SPIE, pp. 17–26, January 2006.

311. Yijiang Shen and Edmund Y. Lam, “Simultaneous photometric correction and defect detection in semiconductor manufacturing,” in Machine Vision Applications in Industrial Inspection XIV, volume 6070 of Proceedings of the SPIE, pp. 133–142, January 2006.

312. Sammy H.M. Kwok and Edmund Y. Lam, “Watermark implementation in digital photography,” in 2005 International Symposium on Intelligent Signal Processing and Communication Systems, pp. 329–332, December 2005.

313. King-Shan Lui and Edmund Y. Lam, “Image transmission in sensor networks,” in IEEE Workshop on Signal Processing Systems, pp. 726–730, November 2005.

314. Edmund Y. Lam, “Multi-lens architecture with super-resolution reconstruction,” in International Conference on Super-resolution Imaging: Theory, Algorithms and Applications, pp. 6, August 2005.

315. Edmund Y. Lam, “Blind deconvolution of bi-level images with successive filtering,” in 20th Congress of the International Commission for Optics: Challenging Optics in Science and Technology, volume 6027 of Proceedings of the SPIE, pp. 1228–1233, August 2005.

316. Ada N.Y. Ng and Edmund Y. Lam, “Semiconductor die defect detection using artificial vision during assembly process,” in 2005 Regional Inter-University Postgraduate Electrical and Electronic Engineering Conference, pp. 74–77, July 2005.

317. Edmund Y. Lam, “Combining gray world and retinex theory for automatic white balance in digital photography,” in International Symposium on Consumer Electronics, pp. 134–139, June 2005.

318. Ada N.Y. Ng, Edmund Y. Lam, Ronald Chung, Kenneth S.M. Fung, and W.H. Leung, “Automatic segmentation for visual inspection in semiconductor manufacturing using multiscale morphology,” in 7th International Conference on Quality Control by Artificial Vision, pp. 215–220, May 2005.

319. Jun Cheng, Ronald Chung, Edmund Y. Lam, Kenneth S.M. Fung, Fan Wang, and W.H. Leung, “Three-dimensional reconstruction of wafer solder bumps using binary pattern projection,” in Machine Vision Applications in Industrial Inspection XIII, vol. 5679 of Proceedings of the SPIE, pp. 44–52, January 2005.

320. Ada N.Y. Ng, Edmund Y. Lam, Ronald Chung, Kenneth S.M. Fung, and W.H. Leung, “Reference-free detection of semiconductor assembly defect,” in Machine Vision Applications in Industrial Inspection XIII, vol. 5679 of Proceedings of the SPIE, pp. 27–35, January 2005.

321. Edmund Y. Lam, “A nonlinear image restoration framework using vector quantization,” in the Third International Conference on Image and Graphics, pp. 2–5, December 2004.

322. Jun Wang, Alfred K. Wong, and Edmund Y. Lam, “Performance optimization for gridded-layout standard cells,” in Photomask 2004, vol. 5567 of Proceedings of the SPIE, pp. 107–118, September 2004.

323. Giuseppe Y. Mak, Alfred K. Wong, and Edmund Y. Lam, “Alternating phase-shifting mask design for low aberration sensitivity,” in Optical Microlithography XVII, vol. 5377 of Proceedings of the SPIE, pp. 591–601, February 2004.

324. Jun Wang, Alfred K. Wong, and Edmund Y. Lam, “Standard cell design with regularly-placed contacts and gates,” in Design and Process Integration for Microelectronic Manufacturing II, vol. 5379 of Proceedings of the SPIE, pp. 55–66, February 2004.

325. Edmund Y. Lam and Michael K. Ng, “Restoration of images with optical aberrations and quantization in a transform domain,” in Computational Imaging II, vol. 5299 of Proceedings of the SPIE, pp. 93–100, January 2004.

326. Giuseppe Y.H. Mak, Edmund Y. Lam, and Alfred K. Wong, “Placement sensitivity to aberration in optical imaging,” in 2003 IEEE Conference on Electron Devices and Solid-State Circuits, pp. 475–478, December 2003.

327. Edmund Y. Lam, “Graylevel alignment between two images using linear programming,” in 2003 International Conference on Image Processing, vol. 2 of 3, pp. 327–330, Sept 2003.

328. Jun Wang, Alfred K. Wong, and Edmund Y. Lam, “Standard cell layout with grid-placed contacts,” in 2003 Regional Inter-University Postgraduate Electrical and Electronic Engineering Conference, pp. 131–132, August 2003.

329. Giuseppe Y.H. Mak, Alfred K. Wong, and Edmund Y. Lam, “Sensitivity of 1D mask features towards aberration in photolithography,” in 2003 Regional Inter-University Postgraduate Electrical and Electronic Engineering Conference, pp. 129–130, August 2003.

330. Edmund Y. Lam, “Improved mixed document compression by using the DCT coefficient distributions,” PICS 2003: The PICS Conference, An International Technical Conference on The Science and Systems of Digital Photography, pp. 518–521, May 2003.

331. Edmund Y. Lam, Xiaolong Ouyang, and Pak Y. Tam, “Parallel implementations of error diffusion algorithms,” 2001 International Conference on Imaging Science, Systems, and Technology, pp. 75–80, June 2001.

332. Edmund Y. Lam, Pak Y. Tam, and Xiaolong Ouyang, “An efficient parallel implementation of the 2-D pyramidal Discrete Wavelet Transform,” 2001 International Conference on Imaging Science, Systems, and Technology, pp. 178–183, June 2001.

333. Edmund Y. Lam and Joseph W. Goodman, “Pixel interpolation for color filter arrays in digital cameras,” in Opto Northwest: SPIE's Regional Meeting on Optoelectronics, Photonics, and Imaging, pp. 24, November 1999.

334. Edmund Y. Lam and Joseph W. Goodman, “A mathematical analysis of the DCT coefficient distributions for images,” in 1999 OSA Annual Meeting, pp. 146, September 1999.

335. Edmund Y. Lam and Joseph W. Goodman, “Blind image deconvolution for symmetric blurs by polynomial factorization,” in 18th Congress of the International Commission for Optics: Optics for the Next Millennium, volume 3749 of Proceedings of the SPIE, pp. 174–175, August 1999.

336. Edmund Y. Lam and Joseph W. Goodman, “Iterative blind image deconvolution in space and frequency domains,” in Sensors, Cameras, and Applications for Digital Photography, volume 3650 of Proceedings of the SPIE, pp. 70–77, January 1999.