48 citations · 127 across the 28 of their papers we have counts for
28 papers
Skillsets on the Chain: A Blockchain-based Zero-Trust Framework for Agentic AI Networking
Yayu Gao, Yong Xiao, Hao Hu +5
Agentic AI networking (AgentNet) systems rely heavily on third-party skillset implementations and distributed multi-agent collaboration, yet they face major claim-to-capability inc…
Implicit Semantic-Aware Communication Based on Hypergraph Reasoning
Yiwei Liao, Shurui Tu, Yong Xiao +2
Semantic-aware communication has emerged as a transformative paradigm for next-generation communication systems, shifting the fundamental goal from transmitting bit-level symbols t…
Generalization Bounds of Emergent Communications for Agentic AI Networking
Yong Xiao, Jingxuan Chai, Guangming Shi +1
The evolution of 6G networking toward agentic AI networking (AgentNet) systems requires a shift from traditional data pipelines to task-aware, agentic AI-native communication solut…
On the Rate-Distortion-Complexity Tradeoff for Semantic Communication
Jingxuan Chai, Yong Xiao, Guangming Shi
Semantic communication is a novel communication paradigm that focuses on conveying the user's intended meaning rather than the bit-wise transmission of source signals. One of the k…
SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G
Yong Xiao, Xubo Li, Haoran Zhou +5
Agentic AI networking (AgentNet) is a novel AI-native networking paradigm in which a large number of specialized AI agents collaborate to perform autonomous decision-making, dynami…
Variable-Length Joint Source-Channel Coding for Semantic Communication
Yujie Zhou, Rulong Wang, Yong Xiao +2
This paper investigates a key challenge faced by joint source-channel coding (JSCC) in digital semantic communication (SemCom): the incompatibility between existing JSCC schemes th…
Distributed Information Bottleneck Theory for Multi-Modal Task-Aware Semantic Communication
Yujie Zhou, Cheng Peng, Rulong Wang +4
Semantic communication shifts the focus from bit-level accuracy to task-relevant semantic delivery, enabling efficient and intelligent communication for next-generation networks. H…
SANNet: A Semantic-Aware Agentic AI Networking Framework for Multi-Agent Cross-Layer Coordination
Yong Xiao, Haoran Zhou, Xubo Li +3
Agentic AI networking (AgentNet) is a novel AI-native networking paradigm that relies on a large number of specialized AI agents to collaborate and coordinate for autonomous decisi…
Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach
Yong Xiao, Guangming Shi, Ping Zhang
The promising potential of AI and network convergence in improving networking performance and enabling new service capabilities has recently attracted significant interest. Existin…
SANSee: A Physical-layer Semantic-aware Networking Framework for Distributed Wireless Sensing
Huixiang Zhu, Yong Xiao, Yingyu Li +2
Contactless device-free wireless sensing has recently attracted significant interest due to its potential to support a wide range of immersive human-machine interactive application…
Towards Net-Zero Carbon Emissions in Network AI for 6G and Beyond
Peng Zhang, Yong Xiao, Yingyu Li +3
A global effort has been initiated to reduce the worldwide greenhouse gas (GHG) emissions, primarily carbon emissions, by half by 2030 and reach net-zero by 2050. The development o…
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…
Imitation Learning-based Implicit Semantic-aware Communication Networks: Multi-layer Representation and Collaborative Reasoning
Yong Xiao, Zijian Sun, Guangming Shi +1
Semantic communication has recently attracted significant interest from both industry and academia due to its potential to transform the existing data-focused communication archite…
Life-long Learning for Reasoning-based Semantic Communication
Jingming Liang, Yong Xiao, Yingyu Li +2
Semantic communication is an emerging paradigm that focuses on understanding and delivering semantics, or meaning of messages. Most existing semantic communication solutions define…
Reasoning on the Air: An Implicit Semantic Communication Architecture
Yong Xiao, Yingyu Li, Guangming Shi +1
Semantic communication is a novel communication paradigm which draws inspiration from human communication focusing on the delivery of the meaning of a message to the intended users…