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Author

Kezhi Wang

6 papers indexed here

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Open access 2026

Agentic TokenCom: A Chain-of-Agents Framework for Multimodal Token Communications

In 6G networks, existing semantic communication systems struggle to achieve composable and generalizable end-to-end optimization under dynamic channel conditions and heterogeneous resource constraints. To address this challenge, we propose Agentic Token Communication (TokenCom), a hierarchical Chain-of-Agents autonomou...

Fei-Bo Jiang, Lei Mao, Li Dong et al. · 0 citations
Review 2026

From LLMs to Agentic and Embodied AI for Next-Generation Intelligent Vehicular Communications: A Comprehensive Survey

The internet of vehicles (IoV) is rapidly evolving into an artificial intelligence (AI)-driven, multi-agent collaborative ecosystem, yet traditional communication paradigms struggle to address the challenges posed by dynamic network topologies, stringent resource constraints, and heterogeneous service demands. To bridg...

Qiong Wu, Wen-Jun Zhang, Ping-Yi Fan et al. · 4 citations
Conference Aug 2026

Double-RIS-Aided Secure and Covert Communications for Symbiotic Radio Systems

In this paper, we propose a double-cooperative reconfigurable intelligent surfaces (RIS)-aided secure and covert framework in symbiotic radio (SR) systems in the presence of an eavesdropper and a warden. In particular, one RIS is deployed to establish the primary communication link, while another backscatter device (BD...

Alemayehu Kebede Abebe, Yi Zhou, Zheng Ma et al. · 0 citations
Open access 2026

Optimizing Federated Learning Efficiency via Slimmable Neural Networks and AirComp for Resource-Heterogeneous Devices

With the rapid growth of the Internet of Things (IoT) and edge intelligence, federated learning (FL) has become a promising approach for distributed model training while preserving privacy. However, the resource constraints of IoT devices, including limited communication bandwidth and heterogeneous computational and en...

Yue Zhang, Guopeng Zhang, Ke-Zhi Wang et al. · 0 citations
Jul 2026

Can We Trust AI in 6G? Verifiable and Auditable AI-Driven Trustworthy Wireless Networks

A general three-step auditing principle is set out that locates protocol-relevant features, verifies their causal role, and diagnoses how adaptation reshapes their use, grounding it throughout publicly available interpretability and telecommunications research.

Genze Jiang, Yizhou Huang, Ke-Zhi Wang · 0 citations

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