Publications

2026
Dude: A Dual-Detection Multi-Agent System for Paper-Code Discrepancy Detection
Dude: A Dual-Detection Multi-Agent System for Paper-Code Discrepancy Detection
Weijie Liu, Running Zhao, Wenhao Yuan, Jinfeng Xu, Zhanfeng Xu, Xiaoxi Zhang, Edith C.H. Ngai
Empirical Methods in Natural Language Processing (EMNLP)  ·  2026
Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match
Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match
Jinze Li, Yixing Xu, Guanchen Li, Shuo Yang, Jinfeng Xu, Xuanwu Yin, Dong Li, Emad Barsoum, Edith C.H. Ngai
International Conference on Learning Representations(ICLR)  ·  2026
RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking
RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking
S. Yang, Z. Yu, Z. Ying, Y. Dai, G. Wang, J. Lan, J. Xu, J. Li, E. C.H. Ngai
DHOW-MiLLA Workshop at ACM Web Conference, Dubai, United Arab Emirates  ·  April, 2026
CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation
CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation
J. Xu, Z. Chen, S. Yang, J. Li, H. Wang, Y. Li, J. Tang, Y. Liu, and E. C.H. Ngai
IEEE International Conference on Data Engineering (ICDE)  ·  May, 2026
Learning and Editing Universal Graph Prompt Tuning via Reinforcement Learning
Learning and Editing Universal Graph Prompt Tuning via Reinforcement Learning
J. Xu, Z. Chen, S. Yang, J. Li, H. Wang, Y. Li, and E. C.H. Ngai
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)  ·  August, 2026
VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation
VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation
J. Xu, Z. Chen, S. Yang, J. Li, Z. Wan, H. Wang, W. Liu, Y. Li, and E. C.H. Ngai
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)  ·  August, 2026
DGGVAE: Dual-Granularity Graph Variational Auto-Encoder for Group Recommendation
DGGVAE: Dual-Granularity Graph Variational Auto-Encoder for Group Recommendation
J. Xu, Z. Chen, J. Li, S. Yang, W. Wang, H. Wang, Y. Li, X. Hu, and E. C.H. Ngai
ACM Transactions on Information Systems (TOIS)  ·  2026
TinnitusLLM: A Multimodal Large Language Model Framework for Tinnitus Diagnosis Through EEG-fMRI Fusion Learning
TinnitusLLM: A Multimodal Large Language Model Framework for Tinnitus Diagnosis Through EEG-fMRI Fusion Learning
Y. Du, X. Chen, Z. Liu, Z. Liu, N. Wong, C. Zhang, J. Chen, Z. Ding, J. Liu, E. C.H. Ngai
IEEE JBHI  ·  2026
LiFeChain: Lightweight Blockchain for Secure and Efficient Federated Lifelong Learning in IoT
LiFeChain: Lightweight Blockchain for Secure and Efficient Federated Lifelong Learning in IoT
Handi Chen, Jing Deng, Xiuzhe Wu, Zhihan Jiang, Xinchen Zhang, Xianhao Chen, and Edith C. H. Ngai
IEEE Transactions on Networking  ·  2026
Privacy-Aware Incentive Design for Federated Crowdsourcing via Combinatorial Multi-Armed Bandits
Privacy-Aware Incentive Design for Federated Crowdsourcing via Combinatorial Multi-Armed Bandits
C. Lin, W. Yuan, E. C.H. Ngai, and X. Wang
IEEE Transactions on Cloud Computing  ·  2026
A Survey on Causality with Federated Learning: Challenges, Techniques, and Applications
A Survey on Causality with Federated Learning: Challenges, Techniques, and Applications
J. Deng, H. Chen, Z. Jiang, R. C.W. Wong, E. C.H. Ngai
ACM Transactions on Knowledge Discovery from Data (TKDD)  ·  2026
CoLD: Collaborative Label Denoising Framework for Network Intrusion Detection
CoLD: Collaborative Label Denoising Framework for Network Intrusion Detection
Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, and Edith C.H. Ngai
Network and Distributed System Security (NDSS) Symposium 2026  ·  February, 2026
Generative AI for Vulnerability Detection in 6G Wireless Networks: Advances, Case Study, and Future Directions
Generative AI for Vulnerability Detection in 6G Wireless Networks: Advances, Case Study, and Future Directions
S. Yang, X. Zheng, J. Xu, J. Li, D. Song, Z. Chen, E. C.H. Ngai
IEEE Wireless Communications Magazine  ·  2026
DietGlance: Dietary Monitoring and Personalized Analysis at a Glance with Knowledge-Empowered AI Assistant
DietGlance: Dietary Monitoring and Personalized Analysis at a Glance with Knowledge-Empowered AI Assistant
Z. Jiang, R. Zhao, L. Lin, Y. Yu, H. Chen, X. Zhang, X. Xu, Y. Wang, X. Ma, E. C.H. Ngai
ACM Transactions on Computing for Healthcare  ·  2026
Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering
Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering
J. Xu, Z. Chen, S. Yang, J. Li, Z. Peng, Z. Liu, H. Wang, J. Zhang, E. C. H. Ngai
Annual Conference on Artificial Intelligence (AAAI)  ·  January, 2026
On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs
On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs
R. Ye, M. Tang, E. C.H. Ngai
International Conference on Representation learning (ICRL)  ·  April, 2026
Proactive Bitrate Orchestration for Multiparty Video Conferencing via Conversational Intent
Proactive Bitrate Orchestration for Multiparty Video Conferencing via Conversational Intent
C. Pan, Y. Li, C. Zhang, E. C.H. Ngai, J. Liu, B. Li, and B. Li
Workshop on Network and Operating System Support for Digital Audio and Video (NOSSDAV)  ·  April, 2026
FUSED: Toward Federated Multimodal Retrieval across Sovereign Data Domains
FUSED: Toward Federated Multimodal Retrieval across Sovereign Data Domains
C. Xu, J. Li, M. Jin, W. I. Atlas, M. A. Spoljaric, H. Fisheries, E. C.H. Ngai, J. Liu
Web Conference (WWW)  ·  April, 2026
Multi-Agent System for Orchestrating Retrieval and Multimodal Reasoning in Cloud Environments
Multi-Agent System for Orchestrating Retrieval and Multimodal Reasoning in Cloud Environments
S. Yang, X. Zheng, J. Xu, J. Li, Z. Liu, E. C.H. Ngai
IEEE INFOCOM Workshop on Intelligent Cloud Computing and Networking (ICCN)  ·  May, 2026
Adaptive noise reduction pipeline leakage detection method based on Multimodal Transformer and contrastive learning
Adaptive noise reduction pipeline leakage detection method based on Multimodal Transformer and contrastive learning
X. Lang, H. Sun, J. Cao, E. C.H. Ngai
IEEE Sensors Journal  ·  2026
Clue2Emo: A Brain-Inspired Framework for Open-Vocabulary Multimodal Emotion Recognition
Clue2Emo: A Brain-Inspired Framework for Open-Vocabulary Multimodal Emotion Recognition
Z. Zhang, J. Chen, Y. Hu, Z. Zhang, X. Yuan, M. Yang, X. Zhao, E. C.H. Ngai, C. Li, X. Hu
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  ·  2026

2025
Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers
Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers
C. Xu, Y. Jin, S. Ma, R. Qian, H. Fang, J. Liu, X. Liu, E. C. H. Ngai, W. I. Atlas, K. M. Connors, and M. A. Spoljaric
International Joint Conference on Artificial Intelligence (IJCAI)  ·  August, 2025
Fragment of Interest: Personalized Video Fragment Recommendation with Inter-Fragment & Intra-Fragment Contextual Effect
Fragment of Interest: Personalized Video Fragment Recommendation with Inter-Fragment & Intra-Fragment Contextual Effect
J. Wang, R. Y.-K. Kwok, and E. C. H. Ngai
ACM Transactions on the Web  ·  2025
Towards Key Point Identification (KPI) for Lecture Videos: Approaches and Performance Evaluation
Towards Key Point Identification (KPI) for Lecture Videos: Approaches and Performance Evaluation
J. Wang, R. Y.-K. Kwok, and E. C. H. Ngai
ACM Transactions on Multimedia Computing, Communications, and Applications  ·  2025
Connectivity Determination Algorithm for Complex Directed Networks
Connectivity Determination Algorithm for Complex Directed Networks
Z. Zhong, L. Lin, Z. Jiang, X. Yuan, E. C. H. Ngai, J. Lam, and K.-W. Kwok
IEEE Transactions on Network Science and Engineering  ·  2025
Joint Optimization of Data Acquisition and Trajectory Planning for UAV-Assisted Wireless Powered Internet of Things
Joint Optimization of Data Acquisition and Trajectory Planning for UAV-Assisted Wireless Powered Internet of Things
Z. Ning, H. Ji, X. Wang, E. C. H. Ngai, L. Guo, and J. Liu
IEEE Transactions on Mobile Computing  ·  2025
Digital Phenotyping and Feature Extraction on Smartphone Data for Depression Detection
Digital Phenotyping and Feature Extraction on Smartphone Data for Depression Detection
M. Yang, E. C. H. Ngai, X. Hu, B. Hu, J. Liu, E. Gelenbe, V. C.M. Leung
Proceedings of the IEEE  ·  February, 2025
A Coverage-Aware High-Quality Sensing Data Collection Method in Mobile Crowd Sensing
A Coverage-Aware High-Quality Sensing Data Collection Method in Mobile Crowd Sensing
Y. Wang, H. Gao, E. C. H. Ngai, K. Niu, T. Yang, B. Zhang, and W. Wang
IEEE Transactions on Mobile Computing  ·  2025
A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions
A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions
Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Wei Wang, Xiping Hu, Steven Hoi, and Edith Ngai
IEEE Transactions on Multimedia  ·  October, 2025
LOBSTER: Bilateral Global Semantic Enhancement for Multimedia Recommendation
LOBSTER: Bilateral Global Semantic Enhancement for Multimedia Recommendation
Jinfeng Xu, Zheyu Chen, Wei Wang, Xiping Hu, Jiyi Liu, and Edith Ngai
Information Fusion  ·  October, 2025
Enhancing Robustness and Generalization Capability for Multimodal Recommender Systems via Sharpness-Aware Minimization
Enhancing Robustness and Generalization Capability for Multimodal Recommender Systems via Sharpness-Aware Minimization
Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Raymond Chi-Wing Wong, and Edith Ngai
IEEE Transactions on Knowledge and Data Engineering  ·  September, 2025
NoteIt: A System Converting Instructional Videos to Interactable Notes Through Multimodal Video Understanding
NoteIt: A System Converting Instructional Videos to Interactable Notes Through Multimodal Video Understanding
Running Zhao, Zhihan Jiang, Xinchen Zhang, Chirui Chang, Handi Chen, Weipeng Deng, Luyao Jin, Xiaojuan Qi, Xun Qian, and Edith C.H. Ngai
ACM Symposium on User Interface Software and Technology (UIST 2025)  ·  September, 2025
Project Website
Demo
Demo
Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, and Edith Ngai
ACM International Conference on Information and Knowledge Management (CIKM'25)  ·  August, 2025
SPACE: Speaker Adaptation for Acoustic Eavesdropping using mmWave Radio Signals
SPACE: Speaker Adaptation for Acoustic Eavesdropping using mmWave Radio Signals
Running Zhao, Jiangtao Yu, Tingle Li, Zhihan Jiang, Chenwei Zhang, Chenshu Wu, Hang Zhao, and Edith C.H. Ngai
IEEE Transactions on Mobile Computing, August 2025.  ·  August, 2025
Self-Supervised Adaptation Method to Concept Drift for Network Intrusion Detection
Self-Supervised Adaptation Method to Concept Drift for Network Intrusion Detection
Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Xinchen Zhang, and Edith C.H. Ngai
IEEE Transactions on Dependable and Secure Computing  ·  August, 2025
RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking
RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking
Shuo Yang, Yuqin Dai, Guoqing Wang, Xinran Zheng, Jinfeng Xu, Jinze Li, Zhenzhe Ying, Weiqiang Wang, and Edith C.H. Ngai
ACM International Conference on Multimedia (MM'25)  ·  July, 2025
The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation
The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation
Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, and Edith Ngai
ACM International Conference on Multimedia (MM'25)  ·  July, 2025
NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation
NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation
Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Wei Wang, Xiping Hu, and Edith Ngai
ACM Conference on Recommender Systems (RecSys'25)  ·  July, 2025  ·  Spotlight Oral
FioRa+: Empowering Energy Neutrality-aware Multicast Firmware Distributions in Energy-harvesting LoRa Networks
FioRa+: Empowering Energy Neutrality-aware Multicast Firmware Distributions in Energy-harvesting LoRa Networks
Sukanya Jewsakul, Sebastian Bader, and Edith C. H. Ngai
ACM Transactions on Sensor Networks  ·  June 2025
MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets
MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets
Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Yijie Li, Mengran Li, Puzhen Wu, and Edith Ngai
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'25)  ·  May 2025
Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding
Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding
Jinze Li, Yixing Xu, Haiduo Huang, Xuanwu Yin, Dong Li, Edith C.H. Ngai, and Emad Barsoum
International Conference on Machine Learning (ICML 2025)  ·  May 2025
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction
Weijie Liu, Ziwei Zhan, Carlee Joe-Wong, Edith C.H. Ngai, Jingpu Duan, Deke Guo, Xu Chen, and Xiaoxi Zhang
IEEE International Conference on Distributed Computing Systems (ICDCS 2025)  ·  2025
Exploiting features and logits in heterogeneous federated learning
Exploiting features and logits in heterogeneous federated learning
Yun-Hin Chan, and Edith C.H. Ngai
Computer Networks  ·  April 2025
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
Jinfeng Xu, Zheyu Chen, Wei Wang, Xiping Hu, Sang-Wook Kim, and Edith Ngai
ACM International Conference on Research and Development in Information Retrieval (SIGIR'25)  ·  April 2025
Valence-Arousal Disentangled Representation Learning for Emotion Recognition in SSVEP-Based BCIs
Valence-Arousal Disentangled Representation Learning for Emotion Recognition in SSVEP-Based BCIs
Yipeng Du, Jie Chen, Zhengwu Liu, Ngai Wong, Chi Zhang, Zhiwei Ding, Jian Liu, and Edith C.H. Ngai
IEEE Journal of Biomedical and Health Informatics  ·  March 2025
Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges
Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges
Handi Chen*, Weipeng Deng*, Shuo Yang, Jinfeng Xu, Zhihan Jiang, Edith C.H. Ngai, Jiangchuan Liu, Xue Liu (* are co-first authors)
IEEE Network Magazine  ·  January 2025
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
Xinchen Zhang, Running Zhao, Zhihan Jiang, Handi Chen, Yulong Ding, Edith C.H. Ngai and Shuanghua Yang
The 2025 IEEE International Conference on Computer Communications (INFOCOM 2025)  ·  2025
MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, and Edith C.H. Ngai
The Association for the Advancement of Artificial Intelligence (AAAI'25)  ·  2025

2024
RACEME: Embedded Intelligence for Correlation-driven Predictive Energy-harvesting Management in LoRa Networks
RACEME: Embedded Intelligence for Correlation-driven Predictive Energy-harvesting Management in LoRa Networks
Sukanya Jewsakul, Edith C.H. Ngai
ACM Transactions on Sensor Networks · December, 2024
Wearable Signals for Diagnosing Attention-Deficit/Hyperactivity Disorder in Adolescents: A Feasibility Study
Wearable Signals for Diagnosing Attention-Deficit/Hyperactivity Disorder in Adolescents: A Feasibility Study
Zhihan Jiang*, Adrienne Y.L. Chan*, Dawn Lum, Kirstie HTY Wong, Janice CN Leung, Patrick Ip, David Coghill, Rosa S Wong, Edith C.H. Ngai, Ian C.K. Wong. (* co-first author)
Journal of American Academy of Child & Adolescent Psychiatry Open (JAACAPOpen) · 2024
LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks
LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks
Handi Chen, Rui Zhou, Yun-Hin Chan, Zhihan Jiang, Xianhao Chen, Edith C.H. Ngai
IEEE Transactions on Mobile Computing · October, 2024
FioRa: Energy Neutrality-aware Multicast Firmware Distributions in Energy-harvesting LoRa Networks
FioRa: Energy Neutrality-aware Multicast Firmware Distributions in Energy-harvesting LoRa Networks
Sukanya Jewsakul and Edith C.H. Ngai
the 11th ACM International Conference on Systems for Energy-Efficient Buildings (BuildSys'24) · 2024 · Best Paper Candidate
HALO: HVAC Load Forecasting With Industrial IoT and Local–Global-Scale Transformer
HALO: HVAC Load Forecasting With Industrial IoT and Local–Global-Scale Transformer
Cheng Pan, Cong Zhang, Edith C.H. Ngai, Jiangchuan Liu and Bo Li
IEEE Internet of Things Journal · May, 2024
BF-Meta: Secure Blockchain-enhanced Privacy-preserving Federated Learning for Metaverse
BF-Meta: Secure Blockchain-enhanced Privacy-preserving Federated Learning for Metaverse
Wenbo Liu, Handi Chen, Edith C.H. Ngai
IEEE International Conference on Metaverse Computing, Networking, and Applications (MetaCom'24) · 2024
Multi-Scale Contrastive Attention Representation Learning for Encrypted Traffic Classification
Multi-Scale Contrastive Attention Representation Learning for Encrypted Traffic Classification
Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Edith C.H. Ngai
ACM International Conference on Information and Knowledge Management (CIKM'24) · 2024
AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation
AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation
Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Edith C.H. Ngai
ACM International Conference on Information and Knowledge Management (CIKM'24) · 2024
Improving Consumer Experience with Pre-purify Temporal-decay Memory-based Collaborative Filtering Recommendation for Graduate School Application
Improving Consumer Experience with Pre-purify Temporal-decay Memory-based Collaborative Filtering Recommendation for Graduate School Application
Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Edith C.H. Ngai
IEEE Transactions on Consumer Electronics · June, 2024
Anomaly Detection using Isomorphic Analysis for False Data Injection Attacks in Industrial Control Systems
Anomaly Detection using Isomorphic Analysis for False Data Injection Attacks in Industrial Control Systems
Xinchen Zhang, Zhihan Jiang, Yulong Ding, Edith C.H. Ngai, Shuang-Hua Yang
Journal of the Franklin Institute · June, 2024
ReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion Detection
ReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion Detection
Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Xingjun Wang, Edith C. H. Ngai
In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'24) · 2024
Hyperdimensional Computing with Multi-Scale Local Binary Patterns for Scalp EEG-Based Epileptic Seizure Detection
Hyperdimensional Computing with Multi-Scale Local Binary Patterns for Scalp EEG-Based Epileptic Seizure Detection
Yipeng Du, Yuan Ren, Ngai Wong, Edith C. H. Ngai
IEEE Internet of Things Journal · April 2024
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
Shenghui Li, Edith C.-H. Ngai, Fanghua Ye, Li Ju, Tianru Zhang, Thiemo Voigt
The 9th ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI 2024) · May 13-16, 2024 · Hong Kong
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
Yun-Hin Chan, Rui Zhou, Running Zhao, Zhihan Jiang, Edith C.-H. Ngai
The 12th International Conference on Learning Representations (ICLR 2024) · May 2024 · Vienna, Austria
AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection
AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection
Xinchen Zhang, Running Zhao, Zhihan Jiang, Zhicong Sun, Yulong Ding, Edith C.H. Ngai, Shuanghua Yang
The 2024 IEEE International Conference on Computer Communications (INFOCOM 2024) · 2024

2023
Lightweight Imitation Learning for Real-Time Cooperative Service Migration
Lightweight Imitation Learning for Real-Time Cooperative Service Migration
Zhaolong Ning, Handi Chen, Edith C. H. Ngai, Xiaojie Wang, Lei Guo, Jiangchuan Liu
IEEE Transactions on Mobile Computing · 2023 · doi: 10.1109/TMC.2023.3239845
A Data-Driven Context-Aware Health Inference System for Children during School Closures
A Data-Driven Context-Aware Health Inference System for Children during School Closures
Zhihan Jiang, Lin Lin, Xinchen Zhang, Jianduo Luan, Running Zhao, Longbiao Chen, James Lam, Ka Man Yip, Hung Kwan So, Wilfred HS Wong, Patrick Ip, Edith C.H. Ngai
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2023) · March 2023 · Vol. 7, Issue 1, Article No. 18
Video
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning
Shenghui Li, Edith C.-H. Ngai, Thiemo Voigt
IEEE Transactions on Big Data · January 2023
Leveraging Machine Learning for Disease Diagnoses based on Wearable Devices: A Survey
Leveraging Machine Learning for Disease Diagnoses based on Wearable Devices: A Survey
Zhihan Jiang, Vera van Zoest, Weipeng Deng, Edith C.H. Ngai, Jiangchuan Liu
IEEE Internet of Things Journal · September 2023
Radio2Text: Streaming Speech Recognition Using mmWave Radio Signals
Radio2Text: Streaming Speech Recognition Using mmWave Radio Signals
Running Zhao, Jiangtao Yu, Hang Zhao, Edith C.H. Ngai
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2023) · September 2023 · Vol. 7, Issue 3, No. 142
Video
ENORA: Empowering Energy-neutral Operation in LoRa Networks via Embedded Intelligence
ENORA: Empowering Energy-neutral Operation in LoRa Networks via Embedded Intelligence
Sukanya Jewsakul, Edith C.H. Ngai
IEEE Network Magazine · July 2023
KNN-based Collaborative Filtering for Fine-Grained Intelligent Grad-School Recommendation System
KNN-based Collaborative Filtering for Fine-Grained Intelligent Grad-School Recommendation System
Jinfeng Xu, Jiyi Liu, Zixiao Ma, Yuyang Wang, Wei Wang, Edith C.H. Ngai
19th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE 2023) · October 2023 · Shenzhen, China · (Best Paper Award)
M2F: Multi-Centered Fairness-Aware Federated Learning Framework
M2F: Multi-Centered Fairness-Aware Federated Learning Framework
Jing Deng, Handi Chen, Yunhin Chan, Edith Ngai
19th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE 2023) · October 2023 · Shenzhen, China
HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data
HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data
Zhihan Jiang, Handi Chen, Rui Zhou, Jing Deng, Xinchen Zhang, Running Zhao, Cong Xie, Yifang Wang, Edith C.H. Ngai
IEEE Transactions on Visualization and Computer Graphics (VIS'23) · October 2023 · Melbourne, Australia
EmbientLoRa: Embedded Intelligence for Predictive Energy Harvesting and Management in LoRa Networks
EmbientLoRa: Embedded Intelligence for Predictive Energy Harvesting and Management in LoRa Networks
Sukanya Jewsakul, Edith C.H. Ngai
EWSN 2023 · September 2023 · Rende, Italy
Human Activity Recognition From Motion and Acoustic Sensors Using Contrastive Learning
Human Activity Recognition From Motion and Acoustic Sensors Using Contrastive Learning
Rui Zhou, Running Zhao, Edith C.H. Ngai
IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) · 2023 · Rhodes Island, Greece
A Health Profiling Framework for Children Leveraging Multimodal Learning Based on Ambient Sensor Signals
A Health Profiling Framework for Children Leveraging Multimodal Learning Based on Ambient Sensor Signals
Zhihan Jiang, Cong Xie, Edith C.H. Ngai
IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) · 2023 · Rhodes Island, Greece
On Quotients of Stochastic Networks over Finite Fields
On Quotients of Stochastic Networks over Finite Fields
Lin Lin, Zhihan Jiang, Hong Lin, Edith C.H. Ngai, James Lam
IEEE Transactions on Control of Network Systems · 2023

2022
Identifying the High-Risk Population for COVID-19 Transmission in Hong Kong Leveraging Explainable Machine Learning
Identifying the High-Risk Population for COVID-19 Transmission in Hong Kong Leveraging Explainable Machine Learning
Zhihan Jiang, Ka-Man Yip, Xinchen Zhang, Jing Deng, Wilfred Wong, Hung-Kwan So, and Edith C. H. Ngai
Healthcare · 10(9):1624 · 2022
High-Resolution Tap-based IoT System for Flow Data Collection and Water End-Use Analysis
High-Resolution Tap-based IoT System for Flow Data Collection and Water End-Use Analysis
Man-Ho Luk, Cheuk-Wang Yau, Philip W. T. Pong, Angela P. Y. Lee, Edith C. H. Ngai, King-Shan Lui
IEEE Internet of Things Journal · 2022
NB-IoT Coverage and Sensor Node Connectivity in Dense Urban Environments: An Empirical Study
NB-IoT Coverage and Sensor Node Connectivity in Dense Urban Environments: An Empirical Study
Cheuk-Wang Yau, Sukanya Jewsakul, Man-Ho Luk, Angela P. Y. Lee, Yun-Hin Chan, Edith C. H. Ngai, Philip W. T. Pong, King-Shan Lui, Jiangchuan Liu
ACM Transaction on Sensor Networks · 2022
Auto-weighted Robust Federated Learning with Corrupted Data Sources
Auto-weighted Robust Federated Learning with Corrupted Data Sources
S. Li, E. C. H. Ngai, F. Ye, and T. Voigt
ACM Transactions on Intelligent Systems and Technology · 2022
Byzantine-Robust Aggregation in Federated Learning Empowered Industrial IoT
Byzantine-Robust Aggregation in Federated Learning Empowered Industrial IoT
S. Li, E. C. H. Ngai, and T. Voigt
IEEE Transactions on Industrial Informatics · 2022
Postgraduate Student Depression Assessment by Multimedia Gait Analysis
Postgraduate Student Depression Assessment by Multimedia Gait Analysis
H. Lu, S. Xu, X. Hu, E. C.-H. Ngai, Y. Guo, W. Wang, and B. Hu
IEEE MultiMedia · 2022
Association Between Objectively Assessed Sleep and Depressive Symptoms During Pregnancy and Post-partum
Association Between Objectively Assessed Sleep and Depressive Symptoms During Pregnancy and Post-partum
T. Pitsillos, A.K. Wikström, A. Skalkidou, B. Derntl, M. Hallschmid, N.D. Lutz, E. C. H. Ngai, I. Sundström Poromaa, A. Wikman
Frontiers in Global Women’s Health · Jan 2022
Understanding Drivers’ Visual and Comprehension Loads in Traffic Violation Hotspots Leveraging Crowd-Based Driving Simulation
Understanding Drivers’ Visual and Comprehension Loads in Traffic Violation Hotspots Leveraging Crowd-Based Driving Simulation
Zhihan Jiang, Xin He, Chenhui Lu, Binbin Zhou, Xiaoliang Fan, Cheng Wang, Xiaojuan Ma, Edith C.H. Ngai, Longbiao Chen
IEEE Transactions on Intelligent Transportation Systems · 2022
Radio2Speech: High Quality Speech Recovery from Radio Frequency Signal
Radio2Speech: High Quality Speech Recovery from Radio Frequency Signal
Running Zhao, Jiangtao Yu, Tingle Li, Hang Zhao, and Edith C.H. Ngai
INTERSPEECH · Sep. 2022 · Incheon, South Korea
Energy-Efficient Monitoring of Potential Side Effects from COVID-19 Vaccines
Energy-Efficient Monitoring of Potential Side Effects from COVID-19 Vaccines
Weipeng Deng, Edith C.H. Ngai, and Vera van Zoest
IEEE International Conference on Green Computing and Communications (GreenCom) · Espoo, Finland · Aug. 2022
An Intelligent Route Guidance Strategy based on Congestion Type for ITS
An Intelligent Route Guidance Strategy based on Congestion Type for ITS
Weilong Zhu, Chunsheng Zhu, Yangjie Cao, Edith C.H. Ngai, and Jiehan Zhou
IEEE International Conference on Communications (ICC) · Seoul, South Korea · May 2022

2021
Demand charges and user flexibility – Exploring differences in electricity consumer types and load patterns within the Swedish commercial sector
Demand charges and user flexibility – Exploring differences in electricity consumer types and load patterns within the Swedish commercial sector
V. van Zoest, F. E. Gohary, E. C. H. Ngai, C. Bartusch
Applied Energy · Vol. 302 · Nov 2021
Secure Information Fusion using Local Posterior for Distributed Cyber-Physical Systems
Secure Information Fusion using Local Posterior for Distributed Cyber-Physical Systems
X. Liu, E. C. H. Ngai, J. Liu
IEEE Transactions on Mobile Computing · Vol. 20, Issue 5 · May 2021 · pp. 2041-2054
FedHe: Heterogeneous Models and Communication-Efficient Federated Learning
FedHe: Heterogeneous Models and Communication-Efficient Federated Learning
Chan Yun Hin and Ngai C.H. Edith
IEEE International Conference on Mobility, Sensing and Networking (MSN 2021) · Exeter, UK · Dec 2021
A New Skeletal Representation Based on Gait for Depression Detection
A New Skeletal Representation Based on Gait for Depression Detection
H. Lu, W. Shao, E. C. H. Ngai, X. Hu, and B. Hu
IEEE International Conference on E-health Networking, Application & Services (HealthCom 2021) · Virtual Conference · Mar 2021

Previous Publications
  1. X. Liu, E. C. H. Ngai, and D. Zachariah, "Scalable Belief Updating for Urban Air Quality Modeling and Prediction," ACM Transactions on Data Science, vol. 2, issue 1, Dec 2020.
  2. Q. Wen, C. Zhan, Y. Gao, X. Hu, E. C. H. Ngai, B. Hu, Modeling Human Activity With Seasonality Bursty Dynamics IEEE Trans. Industrial Informatics 16(2): 1130-1139, 2020.
  3. X. Liu, D. Zachariah, E. C. H. Ngai, Approximate Guassian Process Regression and Performance Analysis, IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2020), Espoo, Finland, Sep 2020.
  4. J. Fang, T. Wang, C. Li, X. Hu, E. C. H. Ngai, B.-C. Seet, J. Cheng, Y. Guo, and X. Jiang, Depression Prevalence in Postgraduate Students and Its Association With Gait Abnormality, IEEE Access 7: 174425-174437, 2019.
  5. J. Zhang, X. Hu, Z. Ning, E. C. H. Ngai, L. Zhou, J. Wei, J. Cheng, B. Hu, V. C. M. Leung, Joint Resource Allocation for Latency-Sensitive Services Over Mobile Edge Computing Networks With Caching, IEEE Internet of Things Journal 6(3): 4283-4294, 2019.
  6. Zhang, L. Zhou, Q. Tang, E. C. H. Ngai, X. Hu, H. Zhao, J. Wei, Stochastic Computation Offloading and Trajectory Scheduling for UAV-Assisted Mobile Edge Computing, IEEE Internet of Things Journal 6(2): 3688-3699, 2019.
  7. W. Chen, Z. Zheng, E. C.-H. Ngai, P. Zheng, and Y. Zhou, Exploiting Blockchain Data to Detection Smart Ponzi Schemes on Ethereum IEEE Access, issue 7, pp. 37573-37386, 2019.
  8. W. Huang, Y. Zhou, X. Xie, D. Wu, M. Chen, E. C. H. Ngai, Buffer State is Enough: Simplifying the Design of QoE-Aware HTTP Adaptive Video Streaming, IEEE Transactions on Broadcasting, vol.64, issue. 2, Jun 2018.
  9. J. Zhang, X. Hu, Z. Ning, E. C. H. Ngai, L. Zhou, J. Wei, J. Cheng, B. Hu: Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks, IEEE Internet of Things Journal 5(4): 2633-2645, 2018.
  10. G. Xu, E. C.-H. Ngai, and J. Liu, Ubiquitous Transmission of Multimedia Sensor Data in Internet-of-Things, IEEE Internet-of-Things Journal, vol. 5, issue. 1, Feb 2018.
  11. P. Sathyamoorthy, E. C.-H. Ngai, X. Hu, and V. C.M. Leung, Profiling Energy Efficiency and Data Communications for Mobile Internet of Things, Wireless Communications and Mobile Computing, vol. 2017, Nov 2017.
  12. Y. Tian, X. Li, A. K. Sangaiah, E. C.-H. Ngai, Z. Song, L. Zhang, and W. Wang, Privacy-Preserving Scheme in Social Participatory Sensing Based on Secure Multi-party Cooperation, Computer Communications, vol. 119, pp. 167-178, April 2018.
  13. W. Li, C. Zhu, L. Yang, L. Shu, E. C.-H. Ngai, and Y. Ma, Subtasks Scheduling for Distributed Robots in Cloud Manufacturing, IEEE Systems Journal, Vol. 11, No. 2, June 2017.
  14. Y. Tian, W. Wang, J. Wu, Q. Kou, Z. Song, and E. C.-H. Ngai, Privacy Preserving Social Tie Discovery Based on Cloaked Human Trajectories, IEEE Transactions on Vehicular Technology, Vol 66, Issue 2, Feb 2017, pp. 1619-1630.
  15. E. C.-H. Ngai, B. Ohlman, G. Tsudik, E. Uzun, M. Wahlisch, and C. A. Wood, Can We Make a Cake and Eat it Too? A Discussion of ICN Security and Privacy, ACM SIGCOMM Computer Communication Review, Vol 47, Issue 1, Jan 2017, pp. 49-54.
  16. L. Zhang, D. Fu, J. Liu, E. C.-H. Ngai, W. Zhu, On Energy-Efficient Offloading in Mobile Cloud for Real Time Video Applications, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 27, Issue 1, Jan 2017, pp.170-181.
  17. C. Zhang, J. Liu, F. Chen, C. Yong, E. C.-H. Ngai, and Y. Hu, Dependency- and Similarity-Aware Caching for HTTP Adaptive Streaming, Multimedia Tools and Applications, Jan 2017, pp. 1-22.
  18. B. Ahlgren, M. Hidell, and E. C.-H. Ngai, Internet-of-Things for Smart Cities: Interoperability and Open Data, IEEE Internet Computing, Vol 20, Issue 6, Nov-Dec 2016.
  19. Q. Liu, X. Hu, E. C.-H. Ngai, M. Liang, V. C.M. Leung, Z. Cai, J. Yin, A Security Patch Addressing Bandwidth Request Vulnerabilities in the IEEE 802.16 Standard, IEEE Network Magazine, Vol 30, Issue 5, Sep-Oct 2016.
  20. W. Wang, T. Xi, E. C.-H. Ngai, and Z. Song, Energy-Efficient Collaborative Outdoor Localization for Participatory Sensing, Sensors, Vol 16, Issue 6, May 2016.
  21. L. McNamara and E. C.-H. Ngai, SADHealth: A Personal Mobile Sensing System for Seasonal Health Monitoring, IEEE Systems Journal, vol. 12, issue. 1, pp. 30-40, March 2018.
  22. F. B. Hassani, W. Du, E. C.-H. Ngai, X. Fu, and J. Liu, Cloud-Assisted Data Fusion and Sensor Selection for Internet-of-Things, IEEE Internet of Things Journal, vol. 3, no. 3, pp. 257-268, June 2016.
  23. L. Zhou, X. Hu, E. C.-H. Ngai, H. Zhao, S. Wang, J. Wei, and V. Leung, A Dynamic Graph-based Scheduling and Interference Coordination Approach in Heterogeneous Cellular Networks, IEEE Transactions on Vehicular Technology, vol. 65, no. 5, pp. 3735-3748, May 2016.
  24. E. C.-H. Ngai, Y. Teng, W. Wang, Internet-of-Things and Participatory Sensing for Smart Cities in Europe, ZTE Technology Journal (invited paper), Issue 6, November 2015 (in Chinese).
  25. C. Zhu, V. C. M. Leung, L. Shu, and E. C.-H. Ngai, Green Internet of Things for Smart World, IEEE Access, vol. 3, pp. 2151-2162, November 2015.
  26. X. Hu, J. Deng, J. Zhao, W. Hu, E. C.-H. Ngai, et al., SAfeDJ: A Crowd-Cloud Co-design Approach to Situation-aware Music Delivery for Drivers, ACM Transactions on Multimedia Computing Communications and Applications, vol. 12 issue 1s, October 2015.
  27. X. Hu, T. Chu, V. Leung, E. Ngai, P. Kruchten, and H. Chan, A Survey on Mobile Social Networks: Applications, Platforms, System Architectures, and Future Research Directions, IEEE Communications Surveys and Tutorials, vol. 17, issue 3, pp. 1557-1581, 2015.
  28. X. Hu, X. Li, E. C.-H. Ngai, V. C.M. Leung, P. Kruchten, Multi-Dimensional Context-Aware Social Network Architecture for Mobile Crowdsensing, IEEE Communication Magazine, vol.52, no.6, pp.78-87, June 2014.
  29. Y. Man and E. C.-H. Ngai, Energy-Efficient Automatic Location-Triggered Applications on Smartphones, Computer Communication, Volume 50, September 2014, pp. 29-40.
  30. E. C.-H. Ngai and P. Gunningberg, Quality-of-Information Aware Data Collection for Mobile Sensor Networks, Pervasive and Mobile Computing, vol. 11, Apr 2014, pp. 203-215.
  31. R. Shea, J. Liu, E. C.-H. Ngai, and Y. Cui, Cloud Gaming: Architecture and Performance, IEEE Network Magazine, vol. 27, issue 4, Jul/Aug 2013, pp. 16-21.
  32. E. C.-H. Ngai and I. Rodhe, On Providing Location Privacy for Mobile Sinks in Wireless Sensor Networks, ACM/Springer Wireless Networks (WINET), Jan 2013, Vol. 19, Issue 1, pp. 115-130.
  33. Z. Ruan, E. C.-H. Ngai, and J. Liu, Wireless Sensor Deployment for Collaborative Sensing with Mobile Phones, Computer Networks, vol. 55, issue 15, Oct 2011, pp. 3224-3245.
  34. E. C.-H. Ngai, On Providing Sink Anonymity for Sensor Network, Security and Communication Networks, vol. 4, 2011, pp. 1-10.
  35. E. C-H. Ngai, Y. Zhou, M. R. Lyu and J. Liu, A Delay-Aware Reliable Event Reporting Framework for Wireless Sensor-Actuator Networks, Ad Hoc Networks, vol. 8, issue 7, 2010, pp. 694-707.
  36. E. Gelenbe and E. C.-H. Ngai, Adaptive Random Re-Routing for Differentiated QoS in Sensor Networks, The Computer Journal, vol. 53, no. 7, 2010, pp. 1052-1061.
  37. E. C.-H. Ngai, J. Liu and M. R. Lyu, An Adaptive Delay-Minimized Route Design for Wireless Sensor-Actuator Networks, IEEE Transactions on Vehicular Technology, vol. 58, no. 9, 2009, pp. 5083-5094.
  38. E. C.-H. Ngai, J. Liu, and M. R. Lyu, An Efficient Intruder Detection Algorithm Against Sinkhole Attacks in Wireless Sensor Networks, Computer Communications, vol. 30, September 2007, pp. 2353-2364.
  39. T. Xi, W. Wang, E. C. H. Ngai, X. Liu, Spatio-Temporal Aware Collaborative Mobile Sensing with Online Multi-Hop Calibration, MobiHoc (poster), Jun 2018, pp. 310-311.
  40. W. Chen, Z. Zheng, J. Cui, E. Ngai, P. Zheng, Y. Zhou, Detecting Ponzi Schemes on Ethereum: Towards Healthier Blockchain Technology, The Web Conference (WWW), Lyon, France, Apr 2018.
  41. J. Borgh, E. C. H. Ngai, B. Ohlman, A. M. Malik: Employing attribute-based encryption in systems with resource constrained devices in an information-centric networking context, Global IoT Summit (GIoTS) Jun 2017, Geneva, pp. 1-6.
  42. X. Liu, T. Xi, E. C.-H. Ngai, and W. Wang, Path Planning for Aerial Sensor Networks with Connectivity Constraints, IEEE International Conference on Communications (ICC), Paris, France, May 2017.
  43. X. Liu, A. R. Khankan, M. Alsioufi, Z. He, E. C. H. Ngai: Cloud-Based Data Fusion in GreenIoT for Smart Cities, EWSN (poster), Feb 2017, Uppsala, Sweden, pp. 216-217.
  44. X. Liu, T. Xi, E. C.-H. Ngai, Data Modelling with Gaussian Process in Sensor Networks for Urban Environmental Monitoring, IEEE Conference on Modelling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), Sep 2016.
  45. F. Hermans, L. McNamara, G. Sörös, C. Rohner, T. Voigt, E. C.-H. Ngai, Focus: Robust Visual Codes for Everyone, ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), Singapore, Jun 2016.
  46. A. J. Pushpam, R. Agren, E. C.-H. Ngai, K. Ausmees, A Low-Cost Sensor Network for Urban Air Quality Monitoring, 12th Swedish National Computer Networking Workshop (SNCNW), Sundsvall, Sweden, Jun 2016.
  47. J. Borgh, E. C.-H. Ngai, and B. Ohlman, Employing Attribute-Based Encryption in Systems with Resource Constrained Devices in an Information-Centric Networking Context 12th Swedish National Computer Networking Workshop (SNCNW), Sundsvall, Sweden, Jun 2016.
  48. Z. Pang, G. Bag, E. C.-H. Ngai, and V. Leung, Native IP connectivity for Sensors and Actuators in Home Area Network, 1st EAI International Conference on Smart Grid Inspired Future Technologies (SmartGift), Liverpool, UK, May 2016. (Invited Paper)
  49. T. Xi, W. Wang, E. C.-H. Ngai, Z. Song, Y. Tian, and X, Gong, Energy-efficient Collaborative Localization for Participatory Sensing System, IEEE Global Telecommunications Conference (Globecom), San Diego, CA, USA, 6-10 Dec 2015.
  50. Y. Yang, Y. Tian, E. C.-H. Ngai, L. Zhang, Y. Teng, and W. Wang, Vulnerable Friend Identification: Who Should You Beware of Most in Online Social Networks, IEEE Global Telecommunications Conference (Globecom), San Diego, CA, USA, 6-10 Dec 2015.
  51. P. Sathyamoorthy, E. C.-H. Ngai, X. Hu, and V. C. M. Leung, Energy Efficiency as an Orchestration Service for Mobile Internet of Things, IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Vancouver, November, 30 Nov-3 Dec 2015.
  52. A. S. Krishnan, X. Hu, J.-Q. Deng, L. Zhou, E. C.-H. Ngai, X. Li, V. C.M. Leung, Y.-K. Kwok, Towards In Time Music Mood-Mapping for Drivers: A Novel Approach, ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), 2-6 Nov 2015, Cancun, Mexico.
  53. A. Mohammad Malik, B. Ahlgren, B. Ohlman, A. Lindgren, E. C.-H. Ngai, L. Klingsbo, and M. LÂng, Experiences from a Field Test using ICN for Live Video Streaming, Workshop on Multimedia Streaming in Information-Centric Networks (MuSIC), in conjunction with ICME, Torino, Italy, 3 July 2015.
  54. Q. Kou, Y. Tian, Z. Song, E. C.-H. Ngai, and W. Wang, Privacy Preserving Social Tie Discovery Based on Cloaked Human Trajectories, International Workshop on Hot Topics in Planet-scale Mobile computing and online Social Networking (HotPost), in conjunction with ACM MobiHoc, Jun 2015, Hangzhou, China. (Invited Paper)
  55. T. Xi, E. C.-H. Ngai, Z. Song, Y. Tian, X. Guo, and W. Wang, Collaborative Localization in Participatory Sensing with Load Balancing, IEEE/ACM IWQoS (Poster), Portland, USA, 15-16 Jun 2015.
  56. X. Liu , X. Song, E. C.-H. Ngai, J. Ma and W. Wang, PM2.5 Monitoring using Images from Smartphones in Participatory Sensing, IEEE SmartCity Workshop in Conjuction with IEEE Infocom, April 2015.
  57. L. Zhou, X. Hu, C. Zhu, E. C.-H. Ngai, S. Wang, J. Wei, and V. C.M. Leung, Green Small Cell Planning in Smart Cities under Dynamic Traffic Demand, IEEE SmartCity Workshop in conjunction with IEEE Infocom, April 2015.
  58. X. Hu, X. Li, E. C. H. Ngai, J. Zhao, V. C. M. Leung, and P. Nasiopoulos, Health Drive: Mobile Healthcare Onboard Vehicles to Promote Safe Driving, 48th Annual Hawaii International Conference on System Sciences (HICSS 2015), Grand Hyatt, Kauai, Jan 2015, pp. 3074-3083.
  59. X Hu, J.-Qi Deng, W. Hu, G. Fotopoulos, E. C.-H. Ngai, Z. Sheng, M. Liang, X. Li, V. C. M. Leung, and S. Fels, SAfeDJ Community: Situation-Aware In-Car Music Delivery for Safe Driving, ACM MobiCom (Poster), Maui, Hawaii, Sep 2014.
  60. Z. Song, E. C.-H. Ngai, J. Ma and W. Wang, A Novel Incentive Negotiation Mechanism for Participatory Sensing under Budget Constraints, IEEE/ACM IWQoS, Hong Kong, China, 26-27 May 2014.
  61. F. H. Bijarbooneh, W. Du, E. C.-H. Ngai, and X. Fu, Energy-Efficient Sensor Selection for Data Quality and Load Balancing in Wireless Sensor Networks, IEEE/ACM IWQoS, Hong Kong, China, 26-27 May 2014.
  62. G. Xu, E. C.-H. Ngai, and J. Liu, Information-Centric Collaborative Data Collection for Mobile Devices in Wireless Sensor Networks, IEEE ICC, Sydney, Australia, 10-14 Jun 2014.
  63. K. Niroumand, L. McNamara, K. Goguev, and E. C.-H. Ngai, SADSense: Personalized Mobile Sensing for Seasonal Effects on Health, ACM/IEEE IPSN (poster), Berlin, Germany, 15-17 Apr 2014.
  64. F. Hermans, L. McNamara, T. Voigt, C. Rohner, E. C.-H. Ngai, and P. Gunningberg, Supporting Heterogeneous LCD/Camera Links, ACM/IEEE IPSN (poster), Berlin, Germany, 15-17 Apr 2014.
  65. Z. Song, E. C.-H. Ngai, J. Ma, X. Gong, Y. Liu, and W. Wang, Incentive Mechanism for Participatory Sensing under Budget Constraints, IEEE WCNC, Istanbul, Turkey, 6-9 April 2014.
  66. B. Mumey, G. Xu, E. C.-H. Ngai, Ubiquitous Sensor Data Collection with Mobile Users, International Conference on Computing, Networking and Communications (ICNC), Honolulu, Hawaii, USA, 3-6 Feb 2014.
  67. F. Bijarbooneh, P. Flener, E. C.-H. Ngai and J. Pearson, Optimizing Quality of Information in Data Collection for Mobile Sensor Networks, IEEE IWQoS, Montreal, Canada, 3-4 Jun 2013.
  68. F. Hermans, O. Rensfelt, T. Voigt, E. C.-H. Ngai, L.-A. Norden, and P. Gunningberg, SoNIC: Classifying Interference in 802.15.4 Sensor Networks, ACM/IEEE IPSN, Philadelphia, USA, 8-11 Apr 2013. (Best paper runner-up, SPOTS track)
  69. Y. Man, E. C.-H. Ngai, and Y. Liu, A Glimpse of Energy-Efficient Location-Triggered Mobile Application Design and Implementation in Data Collection Scenarios, IEEE MSN 2012, Chengdu, China, 14-16 Dec 2012.
  70. I. Rodhe, C. Rohner, and E. C.-H. Ngai, On Location Privacy and Quality of Information in Participatory Sensing, ACM Symposium on QoS and Security for Wireless and Mobile Networks (Q2SWinet), Paphos, Cyprus Island, 21-25 Oct 2012.
  71. F. Hermans, E. C.-H. Ngai and P. Gunningberg, Global Source Mobility in the Content-Centric Networking Architecture, ACM MobiHoc Workshop on Emerging Name-Oriented Mobile Networking Design (NOM), South Carolina, USA, 11-14 Jun 2012.
  72. F. Chen, J. Liu and E. C.-H. Ngai, Collaborative View Synthesis for Interactive Multi-view Video Streaming, ACM Network and Operating System Support for Digital Audio and Video Workshop (NOSSDAV), Toronto, Canada, 7-8 Jun 2012.
  73. N. Makvandian and E. C.-H. Ngai, Seasonal Affective Disorder Monitoring System, Swedish National Computer Networking Workshop (SNCNW 2012), Stockholm, 7-8 Jun 2012.
  74. X. Tong and E. C.-H. Ngai, A Ubiquitous Publish/Subscribe Platform for Wireless Sensor Networks with Mobile Mules, IEEE DCOSS, Hangzhou, China, 16-18 May 2012.
  75. F. H. Bijarbooneh, P. Flener, E. C.-H. Ngai and J. Pearson, An Optimization-based Approach for Wireless Sensor Deployment in Mobile Sensing Environments, IEEE WCNC, Paris, France, 1-4 April 2012.
  76. H. Huang, E. C.-H. Ngai and J. Liu, A Location-Based Publish/Subscribe Framework for Wireless Sensors and Mobile Phones, IEEE WCNC, Paris, France, 1-4 April 2012.
  77. E. C.-H. Ngai, M. B. Srivastava and J. Liu, Context-Aware Sensor Data Dissemination for Mobile Users in Remote Areas, IEEE Infocom, mini-conference, Orlando, FL, USA, 25-30 March 2012.
  78. E. C.-H. Ngai and P. Gunningberg, Quality-of-Information Aware Data Collection for Mobile Sensor Networks, International Workshop on Information Quality and Quality of Service for Pervasive Computing (IQ2S), in conjunction with IEEE PerCom, Lugano, Switzerland, 19-23 March 2012. (Invited paper)
  79. J. Xiong, E. C.-H. Ngai, Y. Zhou and M. R. Lyu, RealProct: Reliable Protocol Conformance Testing with Real Nodes for Wireless Sensor Networks, IEEE TrustCom, Changsha, China, 16-18 November 2011.
  80. Y. Kim, E. C.-H. Ngai, and M. B. Srivastava, Cooperative State Estimation for Preserving Privacy of User Behaviors in Smart Grid, IEEE SmartGridComm, Brussels, Belgium, 17-20 October 2011.
  81. J. Guerreiro, E. C.-H. Ngai, and C. Rohner, Privacy-Aware Probabilistic Sampling for Data Collection in Wireless Sensor Networks, International Wireless Communications and Mobile Computing Conference, Istanbul, Turkey, 5-8 July 2011, pp. 1-6.
  82. P. Ekberg and E. C.-H. Ngai, A Distributed Swarm-Intelligent Localization for Sensor Networks with Mobile Nodes, International Wireless Communications and Mobile Computing Conference, Istanbul, Turkey, 5-8 July 2011, pp. 1-6.
  83. E. C.-H. Ngai and J. Xiong, Adaptive Collaborative Sensing Using Mobile Phones and Stationary Sensors, International workshop on Adaptive and Dependable Mobile Ubiquitous Systems, in conjunction with DSN, Hong Kong, China, 27-30 June 2011.
  84. E. C.-H. Ngai, H. Huang, J. Liu and M. Srivastava, OppSense: Information Sharing for Mobile Phones in Sensing Field with Data Repositories, IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON'11), Salt Lake City, Utah, USA, 27-30 June, 2011, pp. 1-9.
  85. F. Hermans, E. C.-H. Ngai and P. Gunningberg, Mobile Sources in an Information-Centric Network with Hierarchical Names: An Indirection Approach, Swedish National Computer Networking Workshop, Linkoping, June 13-14, 2011.
  86. F. H. Bijarbooneh, P. Flener, E. C.-H. Ngai and J. Pearson, Energy-Efficient Task-Mapping for Data-Driven Sensor Network Macroprogramming Using Constraint Programming, INFORMS Computing Society Conference (ICS'11), Monterey, California, USA, 9-11 January 2011, pp. 1-13.
  87. F. Chen, X. Tong, E. C.-H. Ngai and F. Dresslor, Mode Switch - Adaptive Use of Delay-Sensitive Or Energy-Aware Communication in IEEE 802.15.4-Based Networks, IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS'10), 8-12 November 2010, San Francisco, CA, USA, pp. 302-311.
  88. F. H. Bijarbooneh, P. Flener, E. C.-H. Ngai and J. Pearson, Energy-Efficient Task-Mapping for Data-Driven Sensor Network Macroprogramming Using Constraint Programming, 9th International Workshop on Constraint Modelling and Reformulation (ModRef'10), St. Andrews, Scotland, UK, 6 September 2010.
  89. Z. Ruan, E. C.-H. Ngai, and J. Liu, Wireless Sensor Network Deployment in Mobile Phones Assisted Environment, IEEE International Workshop on Quality of Service (IWQoS'10), 16-18 June 2010, Beijing, China, pp. 1-9. (Best paper runner-up)
  90. F. Hermans, O. Rensfelt, P. Gunningberg, L.-Å. Larzon, and E. C.-H. Ngai, Sensei-UU - A Relocatable WSN Testbed Supporting Repeatable Node Mobility, International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities (TridentCom'10), 18-20 May 2010, Berlin, Germany.
  91. G. Humber and E. C.-H. Ngai, Quality-of-Information Aware Data Delivery for Wireless Sensor Networks: Description and Experiments, IEEE Wireless Communications and Networking Conference (WCNC'10), Sydney, Australia, 18-21 April 2010, pp. 1-6
  92. E. C.-H. Ngai and I. Rodhe, On Providing Location Privacy for Mobile Sinks in Wireless Sensor Networks, 12th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM'09), 26-30 October 2009, Tenerife, Canary Islands, Spain, pp. 116-123.
  93. E. C.-H. Ngai, E. Gelenbe, G. Humber, Information-Aware Traffic Reduction for Wireless Sensor Networks, 34th Annual IEEE Conference on Local Computer Networks (LCN'09), 20-23 October 2009, Zurich, Switzerland, pp. 451-458.
  94. E. C.-H. Ngai, On Providing Sink Anonymity for Sensor Networks, International Wireless Communications and Mobile Computing Conference (IWCMC'09), 21-24 June 2009, Leipzig, Germany.
  95. E. C.-H. Ngai and B. K.-H. Tsoi, Protecting Receiver Privacy in Routing for Wireless Sensor Networks, International Workshop on Mobile and Wireless Networks Security, 11-15 May 2009, Aachen, Germany.
  96. E. Gelenbe, E. C.-H. Ngai, and P. Yadav, Routing of High-Priority Packets in Wireless Sensor Networks, SPIE Symp. Defense, Security and Sensing, 13-17 April 2009, Orlando USA.
  97. S. Zahedi, E. C.-H. Ngai, E. Gelenbe, D. Mylaraswamy, and M. Srivastava, Information Quality Aware Sensor Network Services, Asilomar Conference on Signals, Systems, and Computer, Pacific Grove, CA, Oct 26-29, 2008.
  98. E. Gelenbe and E. C.-H. Ngai, Adaptive QoS Routing for Significant Events in Wireless Sensor Networks, The 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS'08), Atlanta, Georgia, Sep 29-Oct 2, 2008.
  99. E. Gelenbe and E. C.-H. Ngai, Adaptive Random Re-Routing for Differentiated QoS in Sensor Networks, BCS Visions of Computer Science Conference, Imperial College London, Sep 22-24 2008.
  100. E. Gelenbe and E. C.-H. Ngai, Random Re-Routing in Sensor Networks, Annual Conference of International Technology Alliance (ACITA), Imperial College London, Sep 16-18 2008.
  101. R. Lent and E. C.-H. Ngai, Lightweight Clustering in Wireless Sensor-Actuator Networks on Obstructed Environments, IEEE International Symposium on Wireless Pervasive Computing (ISWPC'08), Santorini, Greece, May 7-9, 2008.
  102. E. C.-H. Ngai, Y. Zhou, M. R. Lyu, and J. Liu, LOFT: A Latency-Oriented Fault Tolerant Transport Protocol for Wireless Sensor-Actuator Networks, IEEE Global Telecommunications Conference (Globecom'07), Washington, DC, USA, November 26-30, 2007.
  103. E. C.-H. Ngai, J. Liu, and M. R. Lyu, An Adaptive Delay-Minimized Route Design for Wireless Sensor-Actuator Networks, The 4th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS'07), Pisa, Italy, October 8-11, 2007.
  104. Y. Zhou, E. C.-H. Ngai, M. R. Lyu, and J. Liu, POWER-SPEED: A Power-Controlled Real-Time Data Transport Protocol for Wireless Sensor-Actuator Networks, IEEE Wireless Communications & Networking Conference (WCNC'07), Hong Kong, March 11-15, 2007.
  105. E. C.-H. Ngai, J. Liu, and M. R. Lyu, Delay-Minimized Route Design for Wireless Sensor-Actuator Networks, IEEE Wireless Communications & Networking Conference (WCNC'07), Hong Kong, March 11-15, 2007.
  106. E. C.-H. Ngai, Y. Zhou, M. R. Lyu, and J. Liu, Reliable Reporting of Delay-Sensitive Events in Wireless Sensor-Actuator Networks, The Third IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS'06), Vancouver, Canada, October 9-12, 2006.
  107. Y. Zhou, H. Yang, M. R. Lyu, and E. C.-H. Ngai, A Point-Distribution Index And Its Application to Sensor Grouping in Wireless Sensor Networks, International Wireless Communications and Mobile Computing Conference (IWCMC06), Vancouver, Canada, July 3-6, 2006.
  108. E. C.-H. Ngai, J. Liu, and M. R. Lyu, On the Intruder Detection for Sinkhole Attack in Wireless Sensor Networks, IEEE International Conference on Communications (ICC'06), Istanbul, Turkey, June 11-15, 2006.
  109. E. C.-H. Ngai and M. R. Lyu, An Authentication Service Based on Trust and Clustering in Wireless Ad Hoc Networks: Description and Security Evaluation, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06), Taichung, Taiwan, June 5-7, 2006.
  110. E. C.-H. Ngai, M. R. Lyu, and J. Liu, A Real-Time Communication Framework for Wireless Sensor-Actuator Networks, IEEE Aerospace Conference 2006, Big Sky, Montana, USA, March 4-11, 2006.
  111. E. C.-H. Ngai, M. R. Lyu, and R. T. Chin, An Authentication Service Against Dishonest Users in Mobile Ad Hoc Networks, IEEE Aerospace Conference 2004, Big Sky, Montana, USA, March 6-13, 2004.
  112. E. C.-H. Ngai and M. R. Lyu, Trust- and Clustering-Based Authentication Services in Mobile Ad Hoc Networks, The Second International Workshop on Mobile Distributed Computing (MDC'04), in conjunction with ICDCS'04, Tokyo , Japan , March 23-26, 2004.
  113. E. C.-H. Ngai, P. W. Chan, E. Yau and M. R. Lyu, XVIP: An XML-Based Video Information Processing System, The 26th Annual International Computer Software and Applications Conference (COMPSAC'02), Oxford, England, August 26-29, 2002, pp.173-17.
    114. </ol> </details>