collaborators

10 papers

eess.SP2026

Joint Sensing and Covert Communications in RIS-NOMA Systems

Jiayi Lei, Xidong Mu, Tiankui Zhang +2

A reconfigurable intelligent surface (RIS)-assisted non-orthogonal multiple access (NOMA) system is investigated, where the transmitter (Alice) is a dual functional radar communica…

eess.SP2026

Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art

Dayu Fan, Rui Meng, Xiaodong Xu +9

With the rapid development of Generative Artificial Intelligence (GAI) technology, Generative Diffusion Models (GDMs) have shown significant empowerment potential in the field of w…

cs.LG2025

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

Xiyu Zhao, Qimei Cui, Weicai Li +5

Personalized federated learning (PFL), e.g., the renowned Ditto, strikes a balance between personalization and generalization by conducting federated learning (FL) to guide persona…

cs.DC2025

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams

Xiyu Zhao, Qimei Cui, Wei Ni +5

The timely exchange of information among robots within a team is vital, but it can be constrained by limited wireless capacity. The inability to deliver information promptly can re…

cs.CV2025

Channel-adaptive Cross-modal Generative Semantic Communication for Point Cloud Transmission

Wanting Yang, Zehui Xiong, Qianqian Yang +3

With the rapid development of autonomous driving and extended reality, efficient transmission of point clouds (PCs) has become increasingly important. In this context, we propose a…

cs.DC2025

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

Xiyu Zhao, Qimei Cui, Ziqiang Du +6

Personalized federated learning (PFL) offers a solution to balancing personalization and generalization by conducting federated learning (FL) to guide personalized learning (PL). L…