1 citations · 1 across the 11 of their papers we have counts for
12 papers
Heat Transport of the -Fermi--Pasta--Ulam--Tsingou chain in the long-wave limit
Henrique Santos Lima, Matheus M. R. Poltronieri Martins, Lucas Reis e Silva
Resolving the anomalous conductivity exponent of the symmetric -Fermi--Pasta--Ulam--Tsingou chain by molecular dynamics can require very large systems because of long finite-siz…
DRL-driven Online Optimization for Joint Traffic Reshaping and Channel Reconfiguration in RIS-assisted Semantic NOMA Communications
Songhan Zhao, Shimin Gong, Bo Gu +3
This paper explores a reconfigurable intelligent surface (RIS)-assisted and semantic-aware wireless network, where multiple semantic users (SUs) transmit semantic information to an…
A Spatio-Temporal-Frequency Transformer Framework for Near-Field Target Recognition
Zongyao Zhao, Zhaolin Wang, Lincong Han +2
A target recognition framework relying on near-field integrated sensing and communication (ISAC) systems is proposed. By exploiting the distance-dependent spatial signatures provid…
NetSpatial: Spatially Conditional Traffic Generation for Cellular Planning and Operations
Shiyuan Zhang, Jiale Du, Yuanwei Liu +2
Base station (BS) deployment and operation are fundamental to network performance, yet they require accurate demand understanding, which remains difficult for operators. Cellular t…
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…
Knowledge-Based Ultra-Low-Latency Semantic Communications for Robotic Edge Intelligence
Qunsong Zeng, Zhanwei Wang, You Zhou +3
The 6G mobile networks will feature the widespread deployment of AI algorithms at the network edge, which provides a platform for supporting robotic edge intelligence systems. In s…
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…
Beamforming Design for Semantic-Bit Coexisting Communication System
Maojun Zhang, Guangxu Zhu, Richeng Jin +4
Semantic communication (SemCom) is emerging as a key technology for future sixth-generation (6G) systems. Unlike traditional bit-level communication (BitCom), SemCom directly optim…
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…