48 citations · 127 across the 28 of their papers we have counts for
10 papers · 1 filter
Rate-Distortion-Perception Theory for Semantic Communication
Jingxuan Chai, Yong Xiao, Guangming Shi +1
Semantic communication has attracted significant interest recently due to its capability to meet the fast growing demand on user-defined and human-oriented communication services s…
Physical-Layer Semantic-Aware Network for Zero-Shot Wireless Sensing
Huixiang Zhu, Yong Xiao, Yingyu Li +2
Device-free wireless sensing has recently attracted significant interest due to its potential to support a wide range of immersive human-machine interactive applications. However,…
Reasoning over the Air: A Reasoning-based Implicit Semantic-Aware Communication Framework
Yong Xiao, Yiwei Liao, Yingyu Li +5
Semantic-aware communication is a novel paradigm that draws inspiration from human communication focusing on the delivery of the meaning of messages. It has attracted significant i…
Mathematical Characterization of Signal Semantics and Rethinking of the Mathematical Theory of Information
Guangming Shi, Dahua Gao, Shuai Ma +3
Shannon information theory is established based on probability and bits, and the communication technology based on this theory realizes the information age. The original goal of Sh…
Features Disentangled Semantic Broadcast Communication Networks
Shuai Ma, Weining Qiao, Youlong Wu +6
Single-user semantic communications have attracted extensive research recently, but multi-user semantic broadcast communication (BC) is still in its infancy. In this paper, we prop…
A Theory for Semantic Channel Coding With Many-to-one Source
Shuai Ma, Chuanhui Zhang, Huayan Qi +4
As one of the potential key technologies of 6G, semantic communication is still in its infancy and there are many open problems, such as semantic entropy definition and semantic ch…
Task-oriented Explainable Semantic Communications
Shuai Ma, Weining Qiao, Youlong Wu +6
Semantic communications utilize the transceiver computing resources to alleviate scarce transmission resources, such as bandwidth and energy. Although the conventional deep learnin…
Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach
Yong Xiao, Rong Xia, Yingyu Li +5
With the rising demand for wireless services and increased awareness of the need for data protection, existing network traffic analysis and management architectures are facing unpr…
Adversarial Learning for Implicit Semantic-Aware Communications
Zhimin Lu, Yong Xiao, Zijian Sun +5
Semantic communication is a novel communication paradigm that focuses on recognizing and delivering the desired meaning of messages to the destination users. Most existing works in…
Time-sensitive Learning for Heterogeneous Federated Edge Intelligence
Yong Xiao, Xiaohan Zhang, Guangming Shi +3
Real-time machine learning has recently attracted significant interest due to its potential to support instantaneous learning, adaptation, and decision making in a wide range of ap…