Collaborative IDS Configuration: A Two-Layer Game-Theoretical Approach. - Richeng Jin; Xiaofan He; Huaiyu Dai (GLOBECOM, 2016)

Privacy-Aware Offloading in Mobile-Edge Computing. - Xiaofan He; Juan Liu 002; Richeng Jin; Huaiyu Dai (GLOBECOM, 2017)

On the Tradeoff between Privacy and Utility in Collaborative Intrusion Detection Systems-A Game Theoretical Approach. - Richeng Jin; Xiaofan He; Huaiyu Dai (HotSoS, 2017)

Foresighted deception in dynamic security games. - Xiaofan He; Mohammad M. Islam; Richeng Jin; Huaiyu Dai (ICC, 2017)

Towards Privacy-Aware Collaborative Security: A Game-Theoretic Approach. - Richeng Jin; Xiaofan He; Huaiyu Dai; Rudra Dutta; Peng Ning (PAC, 2017)

Collaborative IDS Configuration: A Two-Layer Game-Theoretic Approach. - Richeng Jin; Xiaofan He; Huaiyu Dai (IEEE Trans. Cogn. Commun. Netw., 2018)

Leveraging Spatial Diversity for Privacy-Aware Location-Based Services in Mobile Networks. - Xiaofan He; Richeng Jin; Huaiyu Dai (IEEE Trans. Inf. Forensics Secur., 2018)

Physical-Layer Assisted Privacy-Preserving Offloading in Mobile-Edge Computing. - Xiaofan He; Richeng Jin; Huaiyu Dai (ICC, 2019)

Distributed Byzantine Tolerant Stochastic Gradient Descent in the Era of Big Data. - Richeng Jin; Xiaofan He; Huaiyu Dai (ICC, 2019)

Deep PDS-Learning for Privacy-Aware Offloading in MEC-Enabled IoT. - Xiaofan He; Richeng Jin; Huaiyu Dai (IEEE Internet Things J., 2019)

On the Security-Privacy Tradeoff in Collaborative Security: A Quantitative Information Flow Game Perspective. - Richeng Jin; Xiaofan He; Huaiyu Dai (IEEE Trans. Inf. Forensics Secur., 2019)

Camouflaging Mobile Primary Users in Database-Driven Cognitive Radio Networks. - Xiaofan He; Richeng Jin; Huaiyu Dai (IEEE Wirel. Commun. Lett., 2019)

Joint Power and Deployment Optimization for Multi-UAV Remote Edge Computing. - Xiaofan He; Richeng Jin; Huaiyu Dai (GLOBECOM, 2020)

Differential Privacy and Prediction Uncertainty of Gossip Protocols in General Networks. - Yufan Huang; Richeng Jin; Huaiyu Dai (GLOBECOM, 2020)

Glide and Zap Q-Learning. - Xiaofan He; Richeng Jin; Huaiyu Dai (INFOCOM Workshops, 2020)

Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees. - Richeng Jin; Yufan Huang; Xiaofan He; Huaiyu Dai; Tianfu Wu 001 (CoRR, 2020)

On the Design of Communication Efficient Federated Learning over Wireless Networks. - Richeng Jin; Xiaofan He; Huaiyu Dai (CoRR, 2020)

Physical-Layer Assisted Secure Offloading in Mobile-Edge Computing. - Xiaofan He; Richeng Jin; Huaiyu Dai (IEEE Trans. Wirel. Commun., 2020)

Peace: Privacy-Preserving and Cost-Efficient Task Offloading for Mobile-Edge Computing. - Xiaofan He; Richeng Jin; Huaiyu Dai (IEEE Trans. Wirel. Commun., 2020)

Joint Service Placement and Resource Allocation for Multi-UAV Collaborative Edge Computing. - Xiaofan He; Richeng Jin; Huaiyu Dai (WCNC, 2021)

Minimizing the Age of Information in the Presence of Location Privacy-Aware Mobile Agents. - Richeng Jin; Xiaofan He; Huaiyu Dai (IEEE Trans. Commun., 2021)

Hierarchical Federated Learning with Adaptive Clustering on Non-IID Data. - Yuqing Tian; Zhaoyang Zhang 001; Zhaohui Yang 001; Richeng Jin (GLOBECOM, 2022)

Neural Tangent Kernel Empowered Federated Learning. - Kai Yue; Richeng Jin; Ryan Pilgrim; Chau-Wai Wong; Dror Baron; Huaiyu Dai (ICML, 2022)

Mobile MIMO Channel Prediction with ODE-RNN: a Physics-Inspired Adaptive Approach. - Zhuoran Xiao; Zhaoyang Zhang 001; Zirui Chen; Zhaohui Yang 001; Richeng Jin (PIMRC, 2022)

Distributed ADMM for Time-Varying Communication Networks. - Zhuojun Tian; Zhaoyang Zhang 001; Richeng Jin (VTC Fall, 2022)

Efficient Content Delivery in Cache-Enabled VEN with Deadline-Constrained Heterogeneous Demands: A User-Centric Approach. - Md. Ferdous Pervej; Richeng Jin; Shih-Chun Lin 002; Huaiyu Dai (CoRR, 2022)

Communication-Efficient Federated Learning via Predictive Coding. - Kai Yue; Richeng Jin; Chau-Wai Wong; Huaiyu Dai (IEEE J. Sel. Top. Signal Process., 2022)

Multi-Hop Task Offloading With On-the-Fly Computation for Multi-UAV Remote Edge Computing. - Xiaofan He; Richeng Jin; Huaiyu Dai (IEEE Trans. Commun., 2022)

Delay-Optimal Coded Offloading for Distributed Edge Computing in Fading Environments. - Xiaofan He; Tianheng Li; Richeng Jin; Huaiyu Dai (IEEE Trans. Wirel. Commun., 2022)

Communication Efficient Federated Learning With Energy Awareness Over Wireless Networks. - Richeng Jin; Xiaofan He; Huaiyu Dai (IEEE Trans. Wirel. Commun., 2022)

Communication-Efficient Federated Learning with Channel-Aware Sparsification over Wireless Networks. - Richeng Jin; Philip Dai; Kaiqi Xiong (CISS, 2023)

Decentralized Differentially Private Without-Replacement Stochastic Gradient Descent. - Richeng Jin; Xiaofan He; Huaiyu Dai (CISS, 2023)

Joint Compression and Deadline Optimization for Communication-Efficient Federated Edge Learning. - Maojun Zhang; Zhijie Cai; Dongzhu Liu; Richeng Jin; Guangxu Zhu; Caijun Zhong (GLOBECOM (Workshops), 2023)

Graph-Attention-Based Decentralized Edge Learning for Non-IID Data. - Zhuojun Tian; Zhaoyang Zhang 001; Richeng Jin (ICC Workshops, 2023)

Coded Parallelism for Distributed Deep Learning. - Songting Ji; Zhaoyang Zhang 001; Zhaohui Yang 001; Richeng Jin; Qianqian Yang 002 (ISIT, 2023)

Distributed Compressed Sensing With Personalized Variational Auto-Encoders. - Zhuojun Tian; Zhaoyang Zhang 001; Richeng Jin; Lei Liu 005; Zhaohui Yang 001 (MLSP, 2023)

Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy. - Richeng Jin; Zhonggen Su; Caijun Zhong; Zhaoyang Zhang 001; Tony Q. S. Quek; Huaiyu Dai (NeurIPS, 2023)

Gradient Obfuscation Gives a False Sense of Security in Federated Learning. - Kai Yue; Richeng Jin; Chau-Wai Wong; Dror Baron; Huaiyu Dai (USENIX Security Symposium, 2023)

Reconfigurable Holographic Surface-Aided Distributed Edge Computing. - Dongqing Geng; Tianheng Li; Xiaofan He; Richeng Jin (WCSP, 2023)

Partial Replication-Enabled Cooperative Transmission for Distributed Edge Computing. - Tianheng Li; Yulong He; Dongqing Geng; Xiaofan He; Richeng Jin (WCSP, 2023)

Symbol Detection for Intelligent Reflecting Surface-aided Orthogonal Time Frequency Space Systems. - Taoyu Xie; Qin Tao; Richeng Jin (WCSP, 2023)

On the f-Differential Privacy Guarantees of Discrete-Valued Mechanisms. - Richeng Jin; Zhonggen Su; Caijun Zhong; Zhaoyang Zhang 001; Tony Q. S. Quek; Huaiyu Dai (CoRR, 2023)

Magnitude Matters: Fixing SIGNSGD Through Magnitude-Aware Sparsification in the Presence of Data Heterogeneity. - Richeng Jin; Xiaofan He; Caijun Zhong; Zhaoyang Zhang 001; Tony Q. S. Quek; Huaiyu Dai (CoRR, 2023)

Joint Compression and Deadline Optimization for Wireless Federated Learning. - Maojun Zhang; Yang Li 049; Dongzhu Liu; Richeng Jin; Guangxu Zhu; Caijun Zhong (CoRR, 2023)

On the Privacy Guarantees of Gossip Protocols in General Networks. - Richeng Jin; Yufan Huang; Zhaoyang Zhang 001; Huaiyu Dai (IEEE Trans. Netw. Sci. Eng., 2023)

Distributed Learning Over Networks With Graph-Attention-Based Personalization. - Zhuojun Tian; Zhaoyang Zhang 001; Zhaohui Yang 001; Richeng Jin; Huaiyu Dai (IEEE Trans. Signal Process., 2023)

Resource Constrained Vehicular Edge Federated Learning With Highly Mobile Connected Vehicles. - Md. Ferdous Pervej; Richeng Jin; Huaiyu Dai (IEEE J. Sel. Areas Commun., 2023)

Implementing Graph Neural Networks Over Wireless Networks via Over-the-Air Computing: A Joint Communication and Computation Framework. - Yuzhi Yang; Zhaoyang Zhang 001; Yuqing Tian; Richeng Jin; Chongwen Huang (IEEE Wirel. Commun., 2023)

Location Privacy-Aware and Energy-Efficient Offloading for Distributed Edge Computing. - Yulong He; Xiaofan He; Richeng Jin; Huaiyu Dai (IEEE Trans. Wirel. Commun., 2023)

Deep Learning-Based Multi-User Positioning in Wireless FDMA Cellular Networks. - Zirui Chen; Zhaoyang Zhang 001; Zhuoran Xiao; Zhaohui Yang 001; Richeng Jin (IEEE J. Sel. Areas Commun., 2023)

Robust Continuous-Time Beam Tracking with Liquid Neural Network. - Fenghao Zhu; Xinquan Wang; Chongwen Huang; Richeng Jin; Qianqian Yang 002; Ahmed Al Hammadi; Zhaoyang Zhang 001; Chau Yuen; Mérouane Debbah (GLOBECOM, 2024)

Enhancing Approximate Message Passing via Diffusion Models Towards On-Device Intelligence. - Philip Dai; Kai Yue; Richeng Jin; Matt Tianfu Wu; Kaiqi Xiong (ICC Workshops, 2024)

IRS-Assisted Integrated Localization and Communication for Multiuser mmWave Massive MIMO Systems. - Xingyu Peng; Xiaoling Hu 001; Jiabao Gao; Richeng Jin; Xiaoming Chen 001 (WCNC, 2024)

Realizing Over-the-Air Neural Networks in RIS-Assisted MIMO Communication Systems. - Yuzhi Yang; Zhaoyang Zhang 001; Yuqing Tian; Zhaohui Yang 001; Richeng Jin; Lei Liu 005; Chongwen Huang (WCNC, 2024)

Semantics Guided Diffusion for Deep Joint Source and Channel Coding Design. - Maojun Zhang; Guangxu Zhu; Kaifeng Han; Richeng Jin; Xiaoming Chen 001 (WCSP, 2024)

TernaryVote: Differentially Private, Communication Efficient, and Byzantine Resilient Distributed Optimization on Heterogeneous Data. - Richeng Jin; Yujie Gu; Kai Yue; Xiaofan He; Zhaoyang Zhang 001; Huaiyu Dai (CoRR, 2024)

Robust Continuous-Time Beam Tracking with Liquid Neural Network. - Fenghao Zhu; Xinquan Wang; Chongwen Huang; Richeng Jin; Qianqian Yang 002; Ahmed Alhammadi; Zhaoyang Zhang 001; Chau Yuen; Mérouane Debbah (CoRR, 2024)

Multi-Sources Fusion Learning for Multi-Points NLOS Localization in OFDM System. - Bohao Wang; Zitao Shuai; Chongwen Huang; Qianqian Yang 002; Zhaohui Yang 001; Richeng Jin; Ahmed Y. Al Hammadi; Zhaoyang Zhang 001; Chau Yuen; Mérouane Debbah (CoRR, 2024)

Advancing Hybrid Defense for Byzantine Attacks in Federated Learning. - Kai Yue; Richeng Jin; Chau-Wai Wong; Huaiyu Dai (CoRR, 2024)

Magnitude Matters: Fixing signSGD Through Magnitude-Aware Sparsification and Error Feedback in the Presence of Data Heterogeneity. - Richeng Jin; Xiaofan He; Caijun Zhong; Zhaoyang Zhang 001; Tony Q. S. Quek; Huaiyu Dai (IEEE Trans. Signal Process., 2024)

Self-Adaptive Measurement Matrix Design and Channel Estimation in Time-Varying Hybrid MmWave Massive MIMO-OFDM Systems. - Chenlan Lin; Jiabao Gao; Richeng Jin; Caijun Zhong (IEEE Trans. Commun., 2024)

Efficient Content Delivery in User-Centric and Cache-Enabled Vehicular Edge Networks with Deadline-Constrained Heterogeneous Demands. - Md. Ferdous Pervej; Richeng Jin; Shih-Chun Lin 002; Huaiyu Dai (IEEE Trans. Veh. Technol., 2024)

Dynamic Power Control for Delay-Optimal Coded Edge Computing. - Dongqing Geng; Xiaofan He; Richeng Jin; Huaiyu Dai (IEEE Trans. Wirel. Commun., 2024)

Federated Learning via Plurality Vote. - Kai Yue; Richeng Jin; Chau-Wai Wong; Huaiyu Dai (IEEE Trans. Neural Networks Learn. Syst., 2024)

Joint Compression and Deadline Optimization for Wireless Federated Learning. - Maojun Zhang; Yang Li 049; Dongzhu Liu; Richeng Jin; Guangxu Zhu; Caijun Zhong; Tony Q. S. Quek (IEEE Trans. Mob. Comput., 2024)

Integrated Localization and Communication for IRS-Assisted Multi-User mmWave MIMO Systems. - Xingyu Peng; Xiaoling Hu 001; Jiabao Gao; Richeng Jin; Xiaoming Chen 001; Caijun Zhong (IEEE Trans. Commun., 2024)

Task-Decoding Assisted Cooperative Transmission for Coded Edge Computing. - Tianheng Li; Xiaofan He; Richeng Jin; Huaiyu Dai (IEEE Trans. Wirel. Commun., 2024)

An Edge-Cloud Collaboration Framework for Generative AI Service Provision With Synergetic Big Cloud Model and Small Edge Models. - Yuqing Tian; Zhaoyang Zhang 001; Yuzhi Yang; Zirui Chen; Zhaohui Yang 001; Richeng Jin; Tony Q. S. Quek; Kai-Kit Wong (IEEE Netw., 2024)

Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity. - Md. Ferdous Pervej; Richeng Jin; Huaiyu Dai (IEEE Trans. Wirel. Commun., 2024)

Multi-Sources Fusion Learning for Multi-Points NLOS Localization in OFDM System. - Bohao Wang; Zitao Shuai; Chongwen Huang; Qianqian Yang 002; Zhaohui Yang 001; Richeng Jin; Ahmed Al Hammadi; Zhaoyang Zhang 001; Chau Yuen; Mérouane Debbah (IEEE J. Sel. Top. Signal Process., 2024)

Hierarchical Federated Edge Learning With Adaptive Clustering in Internet of Things. - Yuqing Tian; Zhongyu Wang; Zhaoyang Zhang 001; Richeng Jin; Hangguan Shan; Wei Wang 021; Tony Q. S. Quek (IEEE Internet Things J., 2024)

Integrated Sensing and Communication in IRS-Assisted High-Mobility Systems: Design, Analysis, and Optimization. - Xingyu Peng; Qin Tao; Xiaoling Hu 001; Richeng Jin; Chongwen Huang; Xiaoming Chen 001 (IEEE Trans. Wirel. Commun., 2024)

GSBAK: top-K Geometric Score-based Black-box Attack. - Md Farhamdur Reza; Richeng Jin; Tianfu Wu 001; Huaiyu Dai (ICLR, 2025)

Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission. - Maojun Zhang; Haotian Wu; Guangxu Zhu; Richeng Jin; Xiaoming Chen 001; Deniz Gündüz (CoRR, 2025)

Sign-Based Gradient Descent With Heterogeneous Data: Convergence and Byzantine Resilience. - Richeng Jin; Yuding Liu; Yufan Huang; Xiaofan He; Tianfu Wu 001; Huaiyu Dai (IEEE Trans. Neural Networks Learn. Syst., 2025)

GSBAK: top-K Geometric Score-based Black-box Attack. - Md Farhamdur Reza; Richeng Jin; Tianfu Wu 001; Huaiyu Dai (CoRR, 2025)

Analogical Learning for Cross-Scenario Generalization: Framework and Application to Intelligent Localization. - Zirui Chen; Zhaoyang Zhang 001; Ziqing Xing; Ridong Li; Zhaohui Yang 001; Richeng Jin; Chongwen Huang; Yuzhi Yang; Mérouane Debbah (CoRR, 2025)

Wireless Large AI Model: Shaping the AI-Native Future of 6G and Beyond. - Fenghao Zhu; Xinquan Wang; Xinyi Li; Maojun Zhang; Yixuan Chen 014; Chongwen Huang; Zhaohui Yang 001; Xiaoming Chen 001; Zhaoyang Zhang 001; Richeng Jin; Yongming Huang 001; Wei Feng; et al. (CoRR, 2025)

Beamforming Design for Semantic-Bit Coexisting Communication System. - Maojun Zhang; Guangxu Zhu; Richeng Jin; Xiaoming Chen 001; Qingjiang Shi; Caijun Zhong; Kaibin Huang (IEEE J. Sel. Areas Commun., 2025)

Partial Replication for Delay-Optimal Distributed Edge Computing. - Yulong He; Tianheng Li; Xiaofan He; Richeng Jin; Huaiyu Dai (IEEE Trans. Commun., 2025)

Distribution-Aware Mobility-Assisted Decentralized Federated Learning. - Md Farhamdur Reza; Reza Jahani; Richeng Jin; Huaiyu Dai (CoRR, 2025)

Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles. - Md. Ferdous Pervej; Richeng Jin; Md Moin Uddin Chowdhury; Simran Singh; Ismail Güvenç; Huaiyu Dai (CoRR, 2025)

Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates. - Kai Yue; Richeng Jin; Chau-Wai Wong; Huaiyu Dai (CoRR, 2025)

DeepTelecom: A Digital-Twin Deep Learning Dataset for Channel and MIMO Applications. - Bohao Wang; Zehua Jiang; Zhenyu Yang; Chongwen Huang; Yongliang Shen; Siming Jiang; Chen Zhu; Zhaohui Yang 001; Richeng Jin; Zhaoxiang Zhang 001; Sami Muhaidat; Mérouane Debbah (CoRR, 2025)