1 citations · 1 across the 7 of their papers we have counts for
7 papers
AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence
Zhijie Cai, Xiaowen Cao, Xu Chen +4
Recent breakthroughs in artificial intelligence (AI), wireless communications, and sensing technologies have accelerated the evolution of edge intelligence. However, conventional s…
Integrated Sensing and Edge AI: Realizing Intelligent Perception in 6G
Zhiyan Liu, Xu Chen, Hai Wu +4
Sensing and edge artificial intelligence (AI) are envisioned as two essential and interconnected functions in sixth-generation (6G) mobile networks. On the one hand, sensing-empowe…
On-the-fly Communication-and-Computing to Enable Representation Learning for Distributed Point Clouds
Xu Chen, Hai Wu, Kaibin Huang
The advent of sixth-generation (6G) mobile networks introduces two groundbreaking capabilities: sensing and artificial intelligence (AI). Sensing leverages multi-modal sensors to c…
Resource Management for Low-latency Cooperative Fine-tuning of Foundation Models at the Network Edge
Hai Wu, Xu Chen, Kaibin Huang
The emergence of large-scale foundation models (FoMo's) that can perform human-like intelligence motivates their deployment at the network edge for devices to access state-of-the-a…
On the View-and-Channel Aggregation Gain in Integrated Sensing and Edge AI
Xu Chen, Khaled B. Letaief, Kaibin Huang
Sensing and edge artificial intelligence (AI) are two key features of the sixth-generation (6G) mobile networks. Their natural integration, termed Integrated sensing and edge AI (I…
Device-Edge Cooperative Fine-Tuning of Foundation Models as a 6G Service
Hai Wu, Xu Chen, Kaibin Huang
Foundation models (FoMos), referring to large-scale AI models, possess human-like capabilities and are able to perform competitively in the domain of human intelligence. The breakt…
On-the-Fly Communication-and-Computing for Distributed Tensor Decomposition Over MIMO Channels
Xu Chen, Erik G. Larsson, Kaibin Huang
Distributed tensor decomposition (DTD) is a fundamental data-analytics technique that extracts latent important properties from high-dimensional multi-attribute datasets distribute…