Publications (6)
AutoMAS: A Generic Multi-Agent System for Algorithm Self-Adaptation in Wireless Networks
Dingli Yuan, Jingchen Peng, Jie Fan +3
The wireless communication environment has the characteristic of strong dynamics. Conventional wireless networks operate based on the static rules with predefined algorithms, lacki…
Achieving -Fairness in Clustered Cell-Free Networking: A Tight Relaxation Approach
Chaowen Deng, Jie Fan, Boxiang Ren +4
Clustered cell-free networking has emerged as a promising architecture to balance the high performance of cell-free massive MIMO and the scalability of traditional cellular systems…
Hyper-VIB: A Hypernetwork-Enhanced Information Bottleneck Approach for Task-Oriented Communications
Jingchen Peng, Chaowen Deng, Yili Deng +2
This paper presents Hyper-VIB, a hypernetwork-enhanced information bottleneck (IB) approach designed to enable efficient task-oriented communications in 6G collaborative intelligen…
WMAS: A Multi-Agent System Towards Intelligent and Customized Wireless Networks
Jingchen Peng, Dingli Yuan, Boxiang Ren +3
The fast development of Artificial Intelligence (AI) agents provides a promising way for the realization of intelligent and customized wireless networks. In this paper, we propose…
QML-IB: Quantized Collaborative Intelligence between Multiple Devices and the Mobile Network
Jingchen Peng, Boxiang Ren, Lu Yang +3
The integration of artificial intelligence (AI) and mobile networks is regarded as one of the most important scenarios for 6G. In 6G, a major objective is to realize the efficient…
NeuralDB: Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database
Weizhi Fei, Hao Shi, Jing Xu +7
Efficiently editing knowledge stored in large language models (LLMs) enables model updates without large-scale training. One possible solution is Locate-and-Edit (L\&E), allowing s…