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Zehui Xiong

Researcher Next ID · RN-036833

Researcher · Computer Science

Queen's University Belfast

Belfast, Singapore

Accepting doctoral researchersFunding unknown
Works count
780
Citation count
24,944
H-index
79
i10-index
321

Research interests

Computer Science
Engineering
Privacy-Preserving Technologies in Data
IoT and Edge/Fog Computing
Blockchain Technology Applications and Security
Advanced Wireless Communication Technologies
UAV Applications and Optimization

Publications

  • Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services

    IEEE Communications Surveys & Tutorials · 2024 · https://doi.org/10.1109/comst.2024.3353265

  • Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

    IEEE Communications Surveys & Tutorials · 2024 · 10.1109/comst.2024.3400011

  • Generative AI Agents With Large Language Model for Satellite Networks via a Mixture of Experts Transmission

    IEEE Journal on Selected Areas in Communications · 2024 · 10.1109/jsac.2024.3459037

  • Covert Communications: A Comprehensive Survey

    IEEE Communications Surveys & Tutorials · 2023 · https://doi.org/10.1109/comst.2023.3263921

  • Healthcare in Metaverse: A Survey on Current Metaverse Applications in Healthcare

    IEEE Access · 2022 · 10.1109/access.2022.3219845

  • Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges

    IEEE Communications Surveys & Tutorials · 2022 · https://doi.org/10.1109/comst.2022.3223224

  • A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges

    IEEE Communications Surveys & Tutorials · 2022 · 10.1109/comst.2022.3221119

  • Fusing Blockchain and AI With Metaverse: A Survey

    IEEE Open Journal of the Computer Society · 2022 · 10.1109/ojcs.2022.3188249

  • A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory

    IEEE Communications Surveys & Tutorials · 2022 · 10.1109/comst.2022.3158270

  • Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven

    IEEE Wireless Communications · 2022 · 10.1109/mwc.018.2100716

  • Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach

    IEEE Transactions on Intelligent Transportation Systems · 2021 · 10.1109/tits.2021.3056341

  • Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning

    IEEE Transactions on Parallel and Distributed Systems · 2021 · 10.1109/tpds.2021.3096076

  • Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management

    IEEE Journal on Selected Areas in Communications · 2021 · https://doi.org/10.1109/jsac.2021.3088655

  • Artificial-Intelligence-Enabled Intelligent 6G Networks

    IEEE Network · 2020 · 10.1109/mnet.011.2000195

  • Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks

    IEEE Internet of Things Journal · 2020 · 10.1109/jiot.2020.2985694

  • Reliable Federated Learning for Mobile Networks

    IEEE Wireless Communications · 2020 · https://doi.org/10.1109/mwc.001.1900119

  • Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach

    IEEE Transactions on Wireless Communications · 2020 · 10.1109/twc.2020.3037767

  • Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges

    IEEE Vehicular Technology Magazine · 2019 · 10.1109/mvt.2019.2903655

  • A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

    IEEE Access · 2019 · https://doi.org/10.1109/access.2019.2896108

  • Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory

    IEEE Internet of Things Journal · 2019 · https://doi.org/10.1109/jiot.2019.2940820

  • Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach

    · 2019 · 10.1109/vts-apwcs.2019.8851649

  • Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory

    IEEE Transactions on Vehicular Technology · 2019 · https://doi.org/10.1109/tvt.2019.2894944

  • When Mobile Blockchain Meets Edge Computing

    IEEE Communications Magazine · 2018 · 10.1109/mcom.2018.1701095

  • Optimal Auction for Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approach

    · 2018 · 10.1109/icc.2018.8422743

  • Cloud/Fog Computing Resource Management and Pricing for Blockchain Networks

    IEEE Internet of Things Journal · 2018 · 10.1109/jiot.2018.2871706

Current projects

    No projects listed.