Weicai Li

According to our database, Weicai Li authored at least 20 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Toward Privacy-Preserving and Error-Tolerant Wireless Federated Learning: Fixed-Point Model Aggregation With Differential Privacy Guarantees.

Weicai Li, Tiejun Lv, Xiyu Zhao, Xi Yu, Yuan Xin, Ni Wei, Mugen Peng

IEEE Trans. Wirel. Commun., 2026

Adaptive Dual-Path Framework for Covert Semantic Communication.

Xi Yu, Weicai Li, Lin Yin, Tiejun Lv

IEEE Trans. Commun., 2026

Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks.

Xiaoyu He, Weicai Li, Tiejun Lv, Xi Yu

IEEE Trans. Cogn. Commun. Netw., 2026

Subspace-Based Super-Resolution Sensing for Bi-Static ISAC With Clock Asynchronism.

Jingbo Zhao, Zhaoming Lu, J. Andrew Zhang, Jiaxi Zhou, Weicai Li, Tao Gu

IEEE J. Sel. Areas Commun., 2026

Angle-Sector-Based Joint Optimization of Beamforming, Power Allocation, and Positioning in UAV NOMA-MIMO Systems.

Zhongyu Wang, Yanan Lian, Jie Zeng, Weicai Li, Xiaoyu Chen, Zheng Chang, Tiejun Lv

IEEE Internet Things J., 2026

Navigating the Dual-Use Nature and Security Implications of Reconfigurable Intelligent Surfaces in Next-Generation Wireless Systems.

Hetong Wang, Tiejun Lv, Yashuai Cao, Weicai Li, Jie Zeng, Pingmu Huang, Muhammad Khurram Khan

IEEE Commun. Surv. Tutorials, 2026

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., December, 2025

Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling.

Xiyu Zhao, Qimei Cui, Ziqiang Du, Wei Ni, Weicai Li, Xi Yu, Ji Zhang, Xiaofeng Tao, Ping Zhang

IEEE Trans. Mob. Comput., October, 2025

Route-and-Aggregate Decentralized Federated Learning Under Communication Errors.

Weicai Li, Tiejun Lv, Wei Ni, Jingbo Zhao, Ekram Hossain, H. Vincent Poor

IEEE Trans. Neural Networks Learn. Syst., September, 2025

Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning.

Xiyu Zhao, Qimei Cui, Weicai Li, Wei Ni, Ekram Hossain, Quan Z. Sheng, Xiaofeng Tao, Ping Zhang

CoRR, June, 2025

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction.

Xi Yu, Tiejun Lv, Weicai Li, Wei Ni, Dusit Niyato, Ekram Hossain

IEEE Trans. Mob. Comput., May, 2025

Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer From It?

Weicai Li, Tiejun Lv, Xiyu Zhao, Xin Yuan, Wei Ni

IEEE Trans. Inf. Forensics Secur., 2025

2024

Over-the-Air Federated Learning in User-Centric Cell-Free Networks.

Yingping Cui, Tiejun Lv, Weicai Li, Wei Ni, Ekram Hossain

IEEE Wirel. Commun. Lett., December, 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

IEEE Trans. Wirel. Commun., November, 2024

Decentralized Federated Learning Over Imperfect Communication Channels.

Weicai Li, Tiejun Lv, Wei Ni, Jingbo Zhao, Ekram Hossain, H. Vincent Poor

IEEE Trans. Commun., November, 2024

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, Abbas Jamalipour

IEEE Internet Things J., March, 2024

2023

Multi-Carrier NOMA-Empowered Wireless Federated Learning With Optimal Power and Bandwidth Allocation.

Weicai Li, Tiejun Lv, Yashuai Cao, Wei Ni, Mugen Peng

IEEE Trans. Wirel. Commun., December, 2023

When Internet of Things Meets Metaverse: Convergence of Physical and Cyber Worlds.

Kai Li, Yingping Cui, Weicai Li, Tiejun Lv, Xin Yuan, Shenghong Li, Wei Ni, Meryem Simsek, Falko Dressler

IEEE Internet Things J., March, 2023

Fundamental Limits for Dynamic Path Parameter Estimation in Asynchronous ISAC Systems.

Jingbo Zhao, Zhaoming Lu, Weicai Li

Proceedings of the 22nd International Symposium on Communications and Information Technologies, 2023

2021

Energy Efficiency Maximization in Massive MIMO-NOMA Networks with Non-linear Energy Harvesting.

Zhongyu Wang, Tiejun Lv, Weicai Li

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021