● Deyou Zhang, Jun Zhao, Ang Li, Jun Li, IEEE, Branka Vucetic, and Yonghui Li, “Mobile User Trajectory Tracking for IRS Enabled Wireless Networks,” Accepted by IEEE Transactions on Vehicular Technology, 2021. ● Xiongwei Wu, Xiuhua Li, Jun Li, P. C. Ching, Victor C. M. Leung, and H. Vincent Poor, “Caching Transient Content for IoT Sensing: Multi-Agent Soft Actor-Critic,” Accepted by IEEE Transactions on Communications, 2021. ● Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, and H. Vincent Poor, “Federated Learning for Industrial Internet of Things in Future Industries,” Accepted by IEEE Wireless Communications Magazine, 2021. ● Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, and H. Vincent Poor, “Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design,” Accepted by IEEE Internet of Things Journal, 2021. ● Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, and H. Vincent Poor, “Federated Learning for Internet of Things: A Comprehensive Survey,” Accepted by IEEE Communications Surveys & Tutorials, 2021. ● Xiaobo Zhou, Shihao Yan, Feng Shu, Riqing Chen, and Jun Li, “UAV-Enabled Covert Wireless Data Collection,” Accepted by IEEE Journal on Selected Areas in Communications, 2021. ● Dinh C. Nguyen, Ming Ding, Quoc-Viet Pham, Pubudu N. Pathirana, Long Bao Le, Aruna Seneviratne, Jun Li, Dusit Niyato, and H. Vincent Poor, “Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges,” Accepted by IEEE Internet of Things, 2021. ● Xiongwei Wu, Jun Li, Ming Xiao, Pak-Chung Ching, and H. Vincent Poor, “Multi-Agent Reinforcement Learning for Cooperative Coded Caching via Homotopy Optimization,” Accepted by IEEE Transactions on Wireless Communications, 2021. ● Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, and H. Vincent Poor, “User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization,” Accepted by IEEE Transactions on Mobile Computing, 2021.

● Yuekai Cai, Youjia Chen, Ming Ding, Peng Cheng, Jun Li, “Mobility Prediction-Based Wireless Edge Caching Using Deep Reinforcement Learning,” IEEE International Conference on Communications in China (ICCC), 2021. ● Waheed Ullah, Dushantha Nalin K. Jayakody, Jun Li, and Yuri Chursin, “Iterative Joint Detection-Decoding Algorithms Using Euclidean Distance-Based Feedback,” IEEE International Conference on Information & Automation for Sustainability (ICIAfS), 2021. ● Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, and H. Vincent Poor, “Utility Optimization for Blockchain Empowered Edge Computing with Deep Reinforcement Learning,” IEEE International Conference on Communications (ICC), 2021. ● Jun Li, Yumeng Shao, Ming Ding, Chuan Ma, Kang Wei, Zhu Han and H. Vincent Poor, “Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients,” Thirty-fourth Conference on Neural Information Processing Systems, Workshop on Scalability, Privacy, and Security in Federated Learning (NeuIPS-SpicyFL), 2020. ● Chengan Zhou, Kang Wei, Jun Li, Ming Ding, Chuan Ma and H. Vincent Poor, “Client-Level Privacy-Preserving Federated Deep Models against Curious Servers,” IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2020. (Invited Paper) ● Xiongwei Wu, Xiuhua Li, Jun Li, P. C. Ching, and H. Vincent Poor, “Deep Reinforcement Learning for IoT Networks: Age of Information and Energy Cost Tradeoff,” IEEE Global Communications (GlobeCom), 2020. ● Tianyu Wang, Teng Liang, Jun Li, Weibin Zhang, Yijin Zhang and Yan Lin, “Adaptive Traffic Signal Control Using Distributed MARL and Federated Learning,” 20th IEEE International Conference on Communication Technology (ICCT), 2020. ● Yo-Seb Jeon, Jun Li, Nima Tavangaran, and H. Vincent Poor, “Data-Aided Channel Estimator for MIMO Systems via Reinforcement Learning,” IEEE International Conference on Communications (ICC), 2020. ● Wei Sha, Wei Li, Guotao Jiao, Honghong He, Yuwen Qian, and Jun Li, “A Co-operative Fault Detection System with Multiple Detectors for Smart Factory Based on Fuzzy Petri Net,” International Conference on Artificial Intelligence and Advanced Manufacturing (

● 张杰，李骏，邢志超，邵雨蒙，粱腾. 基于马尔可夫决策过程模型的车辆位置跟踪方法，ZL 201910458141.0 ● Jun Li and Mingli You, “Method and Device in RSs of Jointly Processing and a Method and Device in BSs of Corresponding Processing,” Patent filed by Alcatel-Lucent, Shanghai Bell, 2009, currently authorized by U. S. A, China, Korea, and Japan. ● Jun Li, Wen Chen, Zhihui Shu, and Xu lu, “Power Allocation and Precoding Design in Multicast System with Non-Regenerative Network Coding,” Chinese Patent, 200910045006.X, 2009.1.8. ● Jun Li, Wen Chen Sha Wei, and Xu Lu, “Power Allocation in Multicast System with Regenerative Network Coding,” Chinese Patent, 200910045009.3, 2009.1.8.