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Rising Stars
2025

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Rising Stars

D-Index
62
Citations
16638
World Ranking
144
National Ranking
5

Computer Science

D-Index
72
Citations
22621
World Ranking
1663
National Ranking
90

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Zehui Xiong is affiliated with Nanyang Technological University in Singapore and has a substantial research record in computer science and engineering. Their work spans across specialized subfields such as computer networks and communications, artificial intelligence, electrical and electronic engineering, aerospace engineering, and information systems.

The primary topics covered in Xiong's research include:

  • Privacy-Preserving Technologies in Data
  • IoT and Edge/Fog Computing
  • Advanced Wireless Communication Technologies
  • Blockchain Technology Applications and Security
  • UAV Applications and Optimization
  • Satellite Communication Systems
  • Mobile Crowdsensing and Crowdsourcing

Xiong has collaborated extensively with several researchers, including Dusit Niyato, Jiawen Kang, Hongyang Du, Dong In Kim, and Chunyan Miao.

Their recent papers include the following works:

  • "Reliable Federated Learning for Mobile Networks," 2020, IEEE Wireless Communications
  • "Artificial-Intelligence-Enabled Intelligent 6G Networks," 2020, IEEE Network
  • "Fusing Blockchain and AI With Metaverse: A Survey," 2022, IEEE Open Journal of the Computer Society
  • "A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges," 2022, IEEE Communications Surveys & Tutorials
  • "Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges," 2022, IEEE Communications Surveys & Tutorials

Xiong's publications are frequently found in the following venues:

  • arXiv (Cornell University)
  • IEEE Network
  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Wireless Communications

In addition to articles, Xiong has contributed to books published by Springer International Publishing, including:

  • Federated Learning Over Wireless Edge Networks (2022)
  • Integrating Edge Intelligence and Blockchain (2022)

The breadth of their research is reflected in the substantial publication counts in computer science (708) and engineering (414), underscoring a multi-disciplinary approach primarily focused on developing technologies for wireless communications, edge computing, blockchain integration, and artificial intelligence.

Best Publications

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

    Wenbo Wang;Dinh Thai Hoang;Peizhao Hu;Zehui Xiong

  • Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach

    Yi Liu;Sahil Garg;Jiangtian Nie;Yang Zhang

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

    Jiawen Kang;Zehui Xiong;Dusit Niyato;Shengli Xie

  • Deep Reinforcement Learning-Based Intelligent Reflecting Surface for Secure Wireless Communications

    Helin Yang;Zehui Xiong;Jun Zhao;Dusit Niyato

  • Fusing Blockchain and AI With Metaverse: A Survey

    Unknown

  • Federated learning for 6G communications: Challenges, methods, and future directions

    Yi Liu;Xingliang Yuan;Zehui Xiong;Jiawen Kang

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

    Unknown

  • When Mobile Blockchain Meets Edge Computing

    Zehui Xiong;Yang Zhang;Dusit Niyato;Ping Wang

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

    Jiawen Kang;Zehui Xiong;Dusit Niyato;Dongdong Ye

  • Reliable Federated Learning for Mobile Networks

    Jiawen Kang;Zehui Xiong;Dusit Niyato;Yuze Zou

  • Artificial-Intelligence-Enabled Intelligent 6G Networks

    Helin Yang;Arokiaswami Alphones;Zehui Xiong;Dusit Niyato

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

    Unknown

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

    Unknown

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

    Unknown

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

    Unknown

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

    Wei Yang Bryan Lim;Jianqiang Huang;Zehui Xiong;Jiawen Kang

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

    Zehui Xiong;Shaohan Feng;Wenbo Wang;Dusit Niyato

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

    Zehui Xiong;Yang Zhang;Dusit Niyato;Ruilong Deng

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

    Helin Yang;Jun Zhao;Zehui Xiong;Kwok-Yan Lam

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

    Wei Yang Bryan Lim;Jer Shyuan Ng;Zehui Xiong;Jiangming Jin

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

    Jiawen Kang;Zehui Xiong;Dusit Niyato;Han Yu

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

    Helin Yang;Zehui Xiong;Jun Zhao;Dusit Niyato

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

    Nguyen Cong Luong;Zehui Xiong;Ping Wang;Dusit Niyato

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

    Wei Yang Bryan Lim;Zehui Xiong;Chunyan Miao;Dusit Niyato

  • Social Welfare Maximization Auction in Edge Computing Resource Allocation for Mobile Blockchain

    Yutao Jiao;Ping Wang;Dusit Niyato;Zehui Xiong

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

    Jiawen Kang;Zehui Xiong;Dusit Niyato;Dongdong Ye

Frequent Co-Authors

Dusit Niyato
Dusit Niyato Nanyang Technological University
Ping Wang
Ping Wang York University
Jiawen Kang
Jiawen Kang Guangdong University of Technology
Cyril Leung
Cyril Leung University of British Columbia
Chunyan Miao
Chunyan Miao Nanyang Technological University
Zhu Han
Zhu Han University of Houston
Dong In Kim
Dong In Kim Sungkyunkwan University
Sahil Garg
Sahil Garg Canadian University Dubai
Yue Xiao
Yue Xiao University of Electronic Science and Technology of China
Jun Luo
Jun Luo Nanyang Technological University

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