Energy Efficiency Maximization in Massive MIMO-NOMA Networks with Non-linear Energy Harvesting. - Zhongyu Wang; Tiejun Lv; Weicai Li (WCNC, 2021)

Fundamental Limits for Dynamic Path Parameter Estimation in Asynchronous ISAC Systems. - Jingbo Zhao; Zhaoming Lu; Weicai Li (ISCIT, 2023)

When Internet of Things Meets Metaverse: Convergence of Physical and Cyber Worlds. - Kai Li 002; Yingping Cui; Weicai Li; Tiejun Lv; Xin Yuan 004; Shenghong Li 002; Wei Ni 001; Meryem Simsek; Falko Dressler (IEEE Internet Things J., 2023)

Multi-Carrier NOMA-Empowered Wireless Federated Learning With Optimal Power and Bandwidth Allocation. - Weicai Li; Tiejun Lv; Yashuai Cao; Wei Ni 001; Mugen Peng (IEEE Trans. Wirel. Commun., 2023)

Joint Optimization of Beamforming and Noise Injection for Covert Downlink Transmissions in Cell-Free Internet of Things Networks. - Jintao Xing; Tiejun Lv; Weicai Li; Wei Ni 001; Abbas Jamalipour (IEEE Internet Things J., 2024)

Decentralized Federated Learning Over Imperfect Communication Channels. - Weicai Li; Tiejun Lv; Wei Ni 001; Jingbo Zhao; Ekram Hossain 001; H. Vincent Poor (IEEE Trans. Commun., 2024)

Performance Bounds for Passive Sensing in Asynchronous ISAC Systems. - Jingbo Zhao; Zhaoming Lu; J. Andrew Zhang; Weicai Li; Yifeng Xiong; Zijun Han; Xiangming Wen; Tao Gu 001 (IEEE Trans. Wirel. Commun., 2024)

Over-the-Air Federated Learning in User-Centric Cell-Free Networks. - Yingping Cui; Tiejun Lv; Weicai Li; Wei Ni 001; Ekram Hossain 001 (IEEE Wirel. Commun. Lett., 2024)

Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer From It? - Weicai Li; Tiejun Lv; Xiyu Zhao; Xin Yuan 004; Wei Ni 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Route-and-Aggregate Decentralized Federated Learning Under Communication Errors. - Weicai Li; Tiejun Lv; Wei Ni 001; Jingbo Zhao; Ekram Hossain 001; H. Vincent Poor (CoRR, 2025)

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction. - Xi Yu; Tiejun Lv; Weicai Li; Wei Ni 001; Dusit Niyato; Ekram Hossain 001 (IEEE Trans. Mob. Comput., 2025)

Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling. - Xiyu Zhao; Qimei Cui; Ziqiang Du; Weicai Li; Xi Yu; Wei Ni 001; Ji Zhang; Xiaofeng Tao; Ping Zhang 003 (CoRR, 2025)

Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning. - Xiyu Zhao; Qimei Cui; Weicai Li; Wei Ni 001; Ekram Hossain 001; Quan Z. Sheng; Xiaofeng Tao; Ping Zhang 003 (CoRR, 2025)

A Novel Conflict Deduction Algorithm Based on Contradiction Separation Inference Rule. - Hailin Guo; Feng Cao; Jianbing Yi; Guanfeng Wu; Weicai Li (Int. J. Comput. Intell. Syst., 2025)