Zehui Xiong

Assistant Professor

Singapore University of Technology and Design

Singapore

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About

Zehui Xiong is an Assistant Professor at the Singapore University of Technology and Design. His research focuses on reinforcement learning, network games, and resource allocation for UAV-assisted networks. He has published recent articles exploring applications of generative AI, blockchain technologies, and advanced communication systems, contributing to the fields of 6G networks and IoT. Professor Xiong's work aims to enhance real-time computing and resource management in integrated terrestrial and non-terrestrial networks.

Articles (20)

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2025

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2023

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2023

Collaborators (4)

Xiaoming Fu

University of Göttingen

GERMANY

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Xuemin Shen

University of Waterloo

CANADA

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Jiangtian Nie

University of Aberdeen

UNITED KINGDOM

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Chau Yuen

Nanyang Technological University (NTU)

SINGAPORE

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Zehui Xiong

Research Interests

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About

Articles (20)

Reinforcement Learning With LLMs Interaction for Distributed Diffusion Model Services

Toward Mixture-of-Experts Enabled Trustworthy Semantic Communication for 6G Networks

Exploring Equilibrium Strategies in Network Games With Generative AI

Resource allocation for UAV-assisted anti-jamming semantic D2D networks: A graph reinforcement learning approach

Exploring AIoT Blockchain Transaction Semantic Detection and Incentive Mechanism With Evolutionary Game Toward Web 3.0 Ecosystem

Boosting Automatic Modulation Recognition in Wireless Communications With Frequency Encoder

Enabling Real-Time Computing and Transmission Services in Large-Scale LEO Satellite Networks

Lightweight Hybrid Device Identification for IoT Applications

Joint Sensing, Computation, and DAI Resource Management for Integrated Non-Terrestrial and Terrestrial Networks

Priority-Aware Task Scheduling in Computing Power Network-Enabled Edge Computing Systems

A Game-Based Incentive-Driven Offloading Framework for Dispersed Computing

Robust Design of IRS-Aided Multi-Group Multicast System With Imperfect CSI

Semantic Communications for Wireless Sensing: RIS-Aided Encoding and Self-Supervised Decoding

Attention-Aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services

From Eye to Brain: A Proactive and Distributed Crowdsensing Framework for Federated Learning

Guest Editorial The Nexus Between Edge Computing and AI for 6G Networks

Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning

Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning

Learning to Routing in UAV Swarm Network: A Multi-Agent Reinforcement Learning Approach

Privacy-Aware Double Auction With Time-Dependent Valuation for Blockchain-Based Dynamic Spectrum Sharing in IoT Systems

Collaborators (4)

Xiaoming Fu

Xuemin Shen

Jiangtian Nie

Chau Yuen

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