1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.NI2026
Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN
Xijun Wang, Zhaoyang Liu, Chenyuan Feng +3
As 6G evolves, the radio access network must transcend traditional automation to embrace agentic AI capable of perception, reasoning, and evolution. A fundamental cognitive gap per…
cs.IT2026
CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge
Zhiheng Guo, Zhaoyang Liu, Zihan Cen +5
The deployment of large-scale neural networks within the Open Radio Access Network (O-RAN) architecture is pivotal for enabling native edge intelligence. However, this paradigm fac…
cs.IT2024★ 1 cited
Meta-Reinforcement Learning With Mixture of Experts for Generalizable Multi Access in Heterogeneous Wireless Networks
Zhaoyang Liu, Xijun Wang, Chenyuan Feng +3
This paper focuses on spectrum sharing in heterogeneous wireless networks, where nodes with different Media Access Control (MAC) protocols to transmit data packets to a common acce…