Zehui Xiong

Biography

Zehui Xiong is currently an Assistant Professor at Singapore University of Technology and Design, and also an Honorary Adjunct Senior Research Scientist with Alibaba-NTU Singapore Joint Research Institute, Singapore. He received the PhD degree in Nanyang Technological University (NTU), Singapore. He was the visiting scholar at Princeton University and University of Waterloo. His research interests include wireless communications, Internet of Things, blockchain, edge intelligence, and Metaverse. Recognized as a Highly Cited Researcher, he has published more than 300 research papers in leading journals, and he has won over 10 Best Paper Awards in international conferences. He is now serving as the editor or guest editor for many leading journals including IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Transactions on Cognitive Communications and Networking, and IEEE Transactions on Network Science and Engineering. He is the recipient of Forbes Asia 30u30, IEEE Asia Pacific Outstanding Young Researcher Award, IEEE Early Career Researcher Award for Excellence in Scalable Computing, IEEE Technical Committee on Blockchain and Distributed Ledger Technologies Early Career Award, IEEE Internet Technical Committee Early Achievement Award, IEEE TCSVC Rising Star Award, IEEE TCI Rising Star Award, IEEE TCCLD Rising Star Award, IEEE ComSoc Outstanding Paper Award, IEEE Best Land Transportation Paper Award, IEEE Asia Pacific Outstanding Paper Award, IEEE CSIM Technical Committee Best Journal Paper Award, IEEE SPCC Technical Committee Best Paper Award, IEEE Big Data Technical Committee Best Influential Conference Paper Award, and IEEE VTS Singapore Best Paper Award. He has served as the Associate Director of Future Communications R&D Programme, and Deputy Lead of AI Mega Centre.

For more details, please visit https://sites.google.com/view/zehuixiong.

Academic Qualifications

• B.E., Telecommunications Engineering, Huazhong University of Science and Technology, Wuhan, China
• Ph.D., Computer Science and Engineering, Nanyang Technological University, Singapore

Working and Visiting Experience

• Jan. 2021 – Present, Assistant Professor, Singapore University of Technology and Design, Singapore
• Jul. 2022 – Present, Honorary Adjunct Senior Research Scientist, Alibaba-NTU Joint Research Institute, Singapore
• Nov. 2019 – Jan. 2021, Research Scientist, Alibaba-NTU Joint Research Institute, Singapore

Recent Awards and Recognitions

• Highly Cited Researcher, Clarivate, 2023, 2024
• IEEE Asia-Pacific Outstanding Young Researcher Award, IEEE Communications Society (ComSoc), 2024
• IEEE Communications Society Outstanding Paper Award, 2024
• IEEE Asia–Pacific Outstanding Paper Award, IEEE Communications Society (ComSoc), 2024
• IEEE Communications Society Technical Committee on Big Data (TCBD) Best Influential Conference Paper Award, 2024
• IEEE Technical Committee on Services Computing (TCSVC) Rising Star Award, IEEE Computer Society (IEEE CS), 2023
• Forbes Asia 30 under 30, Class of 2023
• Best Paper Award, IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), 2023
• Best Paper Award, ACM Web Conference (WWW) Workshop on Deep Learning for the Web of Things, 2023
• IEEE Technical Committee on Cloud Computing (TCCLD) Rising Star Award, IEEE Computer Society (IEEE CS), 2022
• IEEE Technical Committee on the Internet (TCI) Rising Star Award, IEEE Computer Society (IEEE CS), 2022
• Best Paper Award, IEEE International Conference on Blockchain, 2022
• IEEE Best Land Transportation Paper Award, IEEE Vehicular Technology Society (IEEE VTS), 2022
• IEEE Internet Technical Committe (ITC) Early Career Award, IEEE Communications Society (IEEE ComSoc), 2022
• Best Paper Award, IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), 2022
• Best Paper Award, IEEE International Conference on Communications (ICC), 2022
• Best Paper Award, AAAI Workshop on AI for Transportation, 2022
• IEEE Technical Committee on Blockchain and Distributed Ledger Technologies Early Career Award, IEEE Technology and Engineering Management Society (IEEE TEMS), 2021
• IEEE CSIM TC Best Journal Paper Award, IEEE Communications Society Communications Systems Integration and Modeling (CSIM) Technical Committee, 2021
• IEEE SPCC TC Best Paper Award, IEEE Communications Society Signal Processing and Computing for Communications (SPCC) Technical Committee, 2021
• IEEE TCSC Early Career Researcher Award for Excellence in Scalable Computing, IEEE Computer Society (IEEE CS), 2021
• Best Paper Award, IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2021
• Best Paper Award, IEEE International Conference on Cyber, Physical and Social Computing (CPSCom), 2021
• Best Paper Runner Up Award, IEEE International Conference on Blockchain Computing and Applications (BCCA), 2021
• Best Student Paper Award, FTL-IJCAI, 2021
• Best Paper Award, International Conference on Wireless Networks and Mobile Systems (WINSYS), 2021
• Best Paper Award, IEEE International Workshop on 5G and Beyond Wireless Security (IEEE Wireless-Sec), 2021
• World’s Top 2% Scientists 2020, Global List Released by Stanford University
• Best Paper Award, ACM MobiCom-DroneCom, 2020
• Best Paper Award, IEEE/CIC International Conference on Communications in China (ICCC), 2020
• NTU SCSE Best PhD Thesis Runner-Up Award, 2020
• Best Paper Award, IEEE Wireless Communications and Networking Conference (WCNC), 2020
• Best Paper Award, EAI International Conference on 6G for Future Wireless Networks (6GN), 2020
• IEEE Vehicular Technology Society (VTS) Singapore Best Paper Award, 2019

Professional Editorial Services

• Associate Editor-in-Chief, IEEE ComSoc Best Readings
• Deputy Centre Lead, AI Mega Centre
• Associate Director, Future Communications R&D Programme
• Editor, IEEE Transactions on Cognitive Communications and Networking (TCCN) IF: 7.4
• Editor, IEEE Transactions on Vehicular Technology (TVT) (2021-now) IF: 6.239
• Editor, IEEE Internet of Things Journal (IoT-J) (2021-now) IF: 10.238
• Early Career Advisory Board, IEEE/CAA Journal of Automatica Sinica (2021-now) IF: 7.847
• Area Editor, Computer Networks (Elsevier COMNET) (2020-now) IF: 5.493
• Area Editor, Physical Communication (Elsevier PHYCOM) (2020-now) IF: 2.379
• Associate Editor, IEEE Systems Journal (ISJ) (2021-now) IF: 4.802
• Associate Editor, IET Communications (2020-now) IF: 1.345
• Guest Editor, IEEE Journal on Selected Areas in Communications, Special Issue on “Intelligent Blockchain for Future Communications and Networking: Technologies, Trends and Applications”
• Guest Editor, IEEE Transactions on Cognitive Communications and Networking, Special Issue on “Convergence of Collaborative Distributed Machine Learning and Edge Computing Towards Intelligent Networking”
• Guest Editor, IEEE Transactions on Network Science and Engineering, Special Issue on “Collaborative Machine Learning for Next-Generation Intelligent Applications”
• Guest Editor, IEEE Transactions on Network Science and Engineering, Special Issue on “The Nexus Between Edge Computing and AI for 6G Networks”
• Guest Editor, IEEE Open Journal of the Computer Society, Special Issue on “Fusing Blockchain and AI with Metaverse: Technologies, Trends, and Applications”
• Guest Editor, IEEE Open Journal of Vehicular Technology, Special Issue on “Distributed Intelligence for Future Vehicular Networks”
• Guest Editor, Frontiers of Computer Science, Special Issue on “Next Generation Blockchain: Theories, Algorithms and Applications”
• Guest Editor, EURASIP Journal on Wireless Communications and Networking, Special Issue on “Blockchain for Wireless Networking”
• Guest Editor, IET Communications, Special Issue on “Intelligent Metasurfaces for Smart Connectivity”
• Guest Editor, Computer Science (Chinese Journal), Special Issue on “6G-empowered Smart Internet of Things: Technologies and Applications”
• Technical Committee, Computer Communications (Elsevier COMCOM) (2020-now)
• Technical Committee, IEEE Vehicular Technology Society Ad Hoc Committee for AI in Wireless Communications (2021-now)
• Early Career Advisory Board, Computer Engineering (Chinese) (2020-now)
• Editorial Board, Frontiers in Communications and Networks, Special Section on Data Science for Communications (2020-now)
• Editorial Board, Frontiers in Signal Processing, Special Section on Signal Processing for Communications (2020-now)
• Editorial Board, Frontiers in Computer Science, Special Section on Mobile and Ubiquitous Computing (2021-now)
• Editorial Board, Internet of Things and Cyber-Physical Systems (2021-now)

Chair/Co-Chair

• Chair, IEEE Technical Committee on Cognitive Networks Special Interest Group on “Wireless Blockchain Networks” (2023-2024)
• Symposium/Track Co-Chair, IEEE International Conference on Communications (ICC), 2025
• Symposium/Track Co-Chair, IEEE International Conference on Computing, Networking and Communications (ICNC), 2025
• Workshops General Co-Chair, IEEE International Conference on Computer Communications and Networks (ICCCN), 2025
• Organizing Chair, IEEE International Conference on Smart City (SmartCity), 2024
• Chair, IEEE Technical Committee on Cognitive Networks Special Interest Group on “Wireless Blockchain Networks” (2023-2024)
• General Co-Chair, IEEE International Conference on Sustainable Computing and Communications (SustainCom), 2023
• TPC Co-Chair, IEEE International Conference on Internet of Things (iThings), 2023
• Symposium/Track Co-Chair, IEEE Global Communications Conference (GLOBECOM), 2023
• Symposium/Track Co-Chair, The International Conference on Wireless Communications and Signal Processing (WCSP), 2023
• Symposium/Track Co-Chair, IEEE International Conference on Communication Technology (ICCT), 2023
• Track Co-Chair, International Conference on Metaverse Computing, Networking and Applications (MetaCom), 2023
• TPC Co-Chair, The 20th IEEE International Conference on Embedded and Ubiquitous Computing (EUC), 2022
• TPC Co-Chair, International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI 2022 (FL-IJCAI’22), 2022
• Organizing and General Co-Chair, IEEE International Conference on Distributed Computing Systems (ICDCS), Workshop on “Block6G: Intelligent, Scalable, and Efficient Blockchain for 6G Networking and Communications”, 2022
• Organizing and General Co-Chair, IEEE International Conference on Communications (ICC), 2nd Workshop on “Scalable, Secure and Intelligent Blockchain for Future Networking and Communications”, 2022
• Organizing and General Co-Chair, IEEE Wireless Communications and Networking Conference (WCNC), 2nd Workshop on “Machine Learning for Communications: Distributed Machine Learning for Future Communications and Networking”, 2022
• Local Arrangement Co-Chair, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE Data Science & Learning Workshop (DSLW), 2022
• Organizing Co-Chair, IEEE International Conference on Internet of Things (iThings) , 1st Workshop on Integrating Metaverse with Blockchain and 6G for Next-generation IoT (Meta-IoT), 2022
• TPC Vice Co-Chair, The 23th IEEE International Conference on High Performance Computing and Communications (IEEE-HPCC), 2021
• TPC Co-Chair, International Conference on Cybersecurity, Cybercrimes, and Smart Emerging Technologies (CCSET), 2021
• Organizing and General Co-Chair, IEEE Global Communications Conference (GLOBECOM), 1st Workshop on “Scalable, Secure and Intelligent Blockchain for Future Networking and Communications”, 2021
• Organizing and General Co-Chair, IEEE Wireless Communications and Networking Conference (WCNC), 1st Workshop on “Distributed Machine Learning for Future Communications and Networking”, 2021
• Organizing Co-Chair, IEEE 94th Vehicular Technology Conference: VTC2021-Fall, Workshop on “Artificial Intelligence for Autonomous Vehicular Mobile Networks”, 2021
• TPC Co-Chair, IEEE International Conference on Parallel and Distributed Systems (ICPADS), Workshop on “Heterogeneous Multi-access Mobile Edge Computing and Applications”, 2020
• Session Chair, IEEE Global Communications Conference (GLOBECOM), 2017

Selected Publications

For the most recent list of my publications, please see my homepage or google scholar.

• H. Yang, K.-Y. Lam, L. Xiao, Zehui Xiong, H. Hu, D. Niyato, and H. V. Poor, “Lead federated neuromorphic learning for wireless edge artificial intelligence”, Nature Communications, 2022.
• Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xianbin Cao, Chunyan Miao, Sumei Sun, and Qiang Yang, “Realizing the metaverse with edge intelligence: A match made in heaven”, IEEE Wireless Communications, 2022.
• Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Xianbin Cao, Dusit Niyato, Cyril Leung, and Dong In Kim, “A hierarchical incentive design towards motivating participation in coded federated learning“, IEEE Journal on Selected Areas in Communications (JSAC), 2022.
• Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Jiangming Jin, Yang Zhang, Dusit Niyato, Cyril Leung, and Chunyan Miao, “Decentralized edge intelligence: A dynamic resource allocation framework for hierarchical federated learning“, IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 3, pp. 536-550, 2022.
• Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Xianbin Cao, Jiangming Jin, Dusit Niyato, Cyril Leung, and Chunyan Miao, “Reputation-aware Hedonic coalition formation for efficient serverless hierarchical federated learning“, IEEE Transactions on Parallel and Distributed Systems (TPDS), accepted.
• Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Cyril Leung, and Chunyan Miao, “Dynamic edge association and resource allocation in self-organizing hierarchical federated learning networks“, IEEE Journal on Selected Areas in Communications (JSAC), vol. 39, no. 12, pp. 3640-3653, 2021.
• Yulei Wu, Hong-Ning Dai, Haozhe Wang, Zehui Xiong, and Song Guo, “A survey of intelligent network slicing management for industrial IoT: Integrated approaches for smart transportation, smart energy, and smart factory“, IEEE Communications Surveys & Tutorials, accepted.
• Ryan Wen Liu, Maohan Liang , Jiangtian Nie, Yanli Yuan, Zehui Xiong, Han Yu, and Nadra Guizani, “STMGCN: Mobile edge computing-empowered vessel trajectory prediction using spatio-temporal multi-graph convolutional network“, IEEE Transactions on Industrial Informatics, accepted.
• L. Chang, Z. Zhang, P. Li, S. Xi, W. Guo, Y. Shen, Zehui Xiong, J. Kang, D. Niyato, X. Qiao, and Y. Wu, “6G-enabled edge AI for Metaverse: Challenges, methods, and future research directions“, Journal of Communications and Information Networks, accepted.
• Xiaofei Wang, Xiaoxu Ren, Chao Qiu, Zehui Xiong, Haipeng Yao, and Victor C.M. Leung, “Integrating edge intelligence and blockchain: What, why, and how“, IEEE Communications Surveys & Tutorials, accepted.
• Helin Yang, Jun Zhao, Zehui Xiong, Kwok-Yan Lam, Qingqing Wu, and Liang Xiao, “Distributed deep reinforcement learning based spectrum and power allocation for heterogeneous networks“, IEEE Transactions on Wireless Communications, accepted.
• Qinnan Zhang, Jianming Zhu, Sheng Gao, Zehui Xiong, Qingyang Ding, and Guirong Piao, “Incentive mechanism for federated learning based on blockchain and Bayesian game“, SCIENTIA SINICA Informationis, accepted.
• Weiheng Jiang, Yu Zhang, Jun Zhao, Zehui Xiong, and Zhiguo Ding, “Joint transmit precoding and reflect beamforming design for IRS-assisted MIMO cognitive radio systems“, IEEE Transactions on Wireless Communications, accepted.
• Peizhuang Cong, Yuchao Zhang, Bin Liu, Wendong Wang, Zehui Xiong, and Ku Xu, “A&B: AI and block-based TCAM entries replacement scheme for routers”, IEEE Journal on Selected Areas in Communications (JSAC), accepted.
• Qin Hu, Shengling Wang, Zehui Xiong, and Xiuzhen Cheng, “Nothing waste: Full contribution enforcement in federated edge learning“, IEEE Transactions on Mobile Computing, accepted.
• Yu Zhang, Mingming Liu, Jiangtian Nie, Qicheng Ding, Yong Duan, Yang Zhang, and Zehui Xiong, “ReflectU: A mirror-based intelligent interactive system for intuitive remote control“, IEEE Transactions on Industrial Informatics, accepted.
• Jianhang Tang, Jiangtian Nie, Jun Zhao, Yi Zhou, Zehui Xiong, and Mohsen Guizani, “Slicing-based software-defined mobile edge computing in the air“, IEEE Wireless Communications, accepted.
• Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Cyril Leung, and Chunyan Miao, “A double auction mechanism for resource allocation in coded vehicular edge computing“, IEEE Transactions on Vehicular Technology, accepted.
• Jianhang Tang, Jiangtian Nie, Zehui Xiong, Jun Zhao, Yang Zhang, and Dusit Niyato, “Slicing-based reliable resource orchestration for secure software defined edge-cloud computing systems“, IEEE Internet of Things Journal, accepted.
• Weiheng Jiang, Bolin Chen, Jun Zhao, Zehui Xiong, and Zhiguo Ding, “Joint active and passive beamforming design for the IRS-assisted MIMOME-OFDM secure communications“, IEEE Transactions on Vehicular Technology, accepted.
• Zhe Zhang, Shiyao Ma, Zhaohui Yang, Zehui Xiong, Jiawen Kang, Yi Wu, Kejia Zhang, and Dusit Niyato, “Robust semi-supervised federated learning for images automatic recognition in the internet of drones“, IEEE Internet of Things Journal, accepted.
• Kun Zhu, Zhitian Tu, Jiangtian Nie, Yang Zhang, Zehui Xiong, Hong-Ning Dai, and Jiangming Jin, “Privacy-aware double auction with time-dependent valuation for blockchain-based dynamic spectrum sharing in IoT systems“, IEEE Internet of Things Journal, accepted.
• Jianhang Tang, Mohammad M. Jalalzai, Chen Feng, Zehui Xiong, and Yang Zhang, “Latency-aware task scheduling in software-defined edge and cloud computing with erasure-coded storage systems“, IEEE Transactions on Cloud Computing, accepted.
• Ryan Wen Liu, Yu Guo, Jiangtian Nie, Qin Hu, Zehui Xiong, Han Yu, and Mohsen Guizani, “Intelligent edge-enabled efficient multi-source data fusion for autonomous surface vehicles in maritime Internet of Things“, IEEE Transactions on Green Communications and Networking, accepted.
• Kun Zhu, Jia Yang, Yang Zhang, Jiangtian Nie, Wei Yang Bryan Lim, Hongliang Zhang, and Zehui Xiong, “Aerial refueling: Scheduling wireless energy charging for UAV enabled data collection“, IEEE Transactions on Green Communications and Networking, accepted.
• Wei Chong Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Chunyan Miao, Zhu Han, and Dong In Kim, “Stochastic coded offloading scheme for unmanned aerial vehicle-assisted edge computing“, IEEE Internet of Things Journal, accepted.
• Tao Tang, Weiheng Jiang, Hui Zhang, Jiangtian Nie, Zehui Xiong, Xiaogang Wu, and Wenjiang Feng, “GM(1,1) based improved seasonal index model for monthly electricity consumption forecasting“, Energy, accepted.
• M. Xu, J. Peng, B. B Gupta, J. Kang, Zehui Xiong, Z. Li, and AA Abd El-Latif, “Multi-agent federated reinforcement learning for secure incentive mechanism in intelligent cyber-physical systems“, IEEE Internet of Things Journal, accepted.
• Huimei Han, Jun Zhao, W. Zhai, Zehui Xiong, Dusit Niyato, Marco Di Renzo, Q.-V. Pham, W. Lu, and K-Y. Lam, “Reconfigurable intelligent surface aided power control for physical-layer broadcasting“, IEEE Transactions on Communications, vol. 69, no. 11, pp. 7821-7836, 2021.
• Alia Asherleva, Dusit Niyato, and Zehui Xiong, “Auction-and-learning based lagrange coded computing model for privacy-preserving, secure, and resilient mobile edge computing“, IEEE Transactions on Mobile Computing, accepted.
• Jer Shyuan Ng, Wei Yang Bryan Lim, Nguyen Cong Luong, Zehui Xiong, Alia Asherleva, Dusit Niyato, Cyril Leung, and Chunyan Miao, “A comprehensive survey on coded distributed computing: Fundamentals, challenges, and networking applications“, IEEE Communication Surveys & Tutorials, vol. 23, no. 3, pp. 1800-1837, 2021.
• Helin Yang, Jun Zhao, Zehui Xiong, Kwok-Yan Lam, Sumei Sun, and Liang Xiao, “Privacy-preserving federated learning for UAV-enabled networks: Learning-based joint scheduling and resource management“, IEEE Journal on Selected Areas in Communications (JSAC), vol. 39, no. 10, pp. 3144-3159, 2021.
• Wei Yang Bryan Lim, Sahil Garg, Zehui Xiong, Yang Zhang, Dusit Niyato, Cyril Leung, and Chunyan Miao, “UAV-assisted communication efficient federated learning in the era of the Artificial Intelligence of Things“, IEEE Network, vol. 35, no. 5, pp. 188-195, 2021.
• Wei Yang Bryan Lim, Zehui Xiong, Jiawen Kang, Dusit Niyato, Cyril Leung, Chunyan Miao, and Xuemin (Sherman) Shen, “When information freshness meets service lantency in federated learning: A task-aware incentive scheme for smart industries“, IEEE Transactions on Industrial Informatics, vol. 18, no. 1, pp. 457-466, 2022.
• Helin Yang, Zehui Xiong, Jun Zhao, Dusit Niyato, Qingqing Wu, H. Vincent Poor, and Massimo Tornatore, “Intelligent reflecting surface assisted anti-jamming communication systems: A fast reinforcement learning approach“, IEEE Transactions on Wireless Communications, vol. 20, no. 3, pp. 1963-1974, 2021.
• Shisheng Hu, Ying-Chang Liang, Zehui Xiong, and Dusit Niyato, “Blockchain and artificial intelligence for dynamic resource sharing in 6G“, IEEE Wireless Communications, vol. 28, no. 4, pp. 145-151, 2021.
• Jiawen Kang, Zehui Xiong, Xuandi Li, Yang Zhang, Dusit Niyato, Cyril Leung, and Chunyan Miao, “Optimizing task assignment for reliable blockchain-empowered federated edge learning“, IEEE Transactions on Vehicular Technology, vol. 70, no. 2, pp. 1910-1923, 2021.
• Shanjiang Tang, C. Wang, Jiangtian Nie, Neeraj Kumar, Yang Zhang, and Zehui Xiong, “EDL-COVID: Ensemble deep learning for COVID-19 detection with chest X-Ray images“, IEEE Transactions on Industrial Informatics, vol. 17, no. 9, pp. 6539-6549, 2021.
• Kai Peng, Jiangtian Nie, Neeraj Kumar, Chao Cai, Jiawen Kang, Zehui Xiong, and Yang Zhang, “Joint optimization of service chain caching and task offloading in mobile edge computing“, Appiled Soft Computing, vol. 103, no. 107142, 2021.
• Jer Shyuan Ng, Wei Yang Bryan Lim, Hong-Ning Dai, Zehui Xiong, Jianqiang Huang, Dusit Niyato, Xian-Sheng Hua, Cyril Leung, and Chunyan Miao, “Joint auction-coalition formation framework for communication-efficient federated learning in UAV-enabled Internet of Vehicles“, IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 4, pp. 2326-2344, 2021.
• Wei Yang Bryan Lim, Jianqiang Huang, Zehui Xiong, Jiawen Kang, Dusit Niyato, Xian-Sheng Hua, Cyril Leung, and Chunyan Miao, “Towards federated learning in UAV-enabled Internet of Vehicles: A multi-dimensional contract-matching approach“, IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 8, pp. 5140-5154, 2021.
• Yi Liu, Xingliang Yuan, Zehui Xiong, Jiawen Kang, Xiaofei Wang, and Dusit Niyato, “Federated learning for 6G communications: Challenges, methods, and future directions“, China Communications, vol. 17, no. 9, pp. 105-118, 2020.
• Helin Yang, Zehui Xiong, Jun Zhao, Dusit Niyato, Chau Yuen, and Ruilong Deng, “Deep reinforcement learning based massive access management for ultra-reliable low-latency communications“, IEEE Transactions on Wireless Communications, vol. 20, no. 5, pp. 2977-2990, 2021.
• Jiangtian Nie, Jun Luo, Zehui Xiong, Dusit Niyato, Ping Wang, and H. Vincent Poor, “A multi-leader multi-follower game-based analysis for incentive mechanisms in socially-aware mobile crowdsensing“, IEEE Transactions on Wireless Communications, vol. 20, no. 3, pp. 1457-1471, 2021.
• Shaohan Feng, Wenbo Wang, Zehui Xiong, Dusit Niyato, Ping Wang, and Shaun (Shuxun) Wang, “On cyber risk management of blockchain networks: A game theoretic approach”, IEEE Transactions on Service Computing, vol. 14, no. 5, pp. 1492-1504, 2021.
• Shaohan Feng, Zehui Xiong, Dusit Niyato, and Ping Wang, “Dynamic resource management to defend against advanced persistent threats in fog computing: A game theoretic approach”, IEEE Transactions on Cloud Computing, vol. 9, no. 3, pp. 995-1007, 2021.
• Helin Yang, Zehui Xiong, Jun Zhao, Dusit Niyato, Liang Xiao, and Qingqing Wu, “Deep reinforcement learning based intelligent reflecting surface for secure wireless communications“, IEEE Transactions on Wireless Communications, vol. 20, no. 1, pp. 375-388, 2021.
• Wei Yang Bryan Lim, Sahil Garg, Zehui Xiong, Dusit Niyato, Cyril Leung, Chunyan Miao, and Mohsen Guizani, “Dynamic contract design for federated learning in smart healthcare applications“, IEEE Internet of Things Journal, vol. 8, no. 23, pp. 16853 -16862, 2021.
• Yi Liu, Sahil Garg, Jiangtian Nie, Yang Zhang, Zehui Xiong, and Jiawen Kang, “Deep anomaly detection for time series data in industrial IoT: A communication-efficient on-device federated learning approach“, IEEE Internet of Things Journal, vol. 8, no. 8, pp. 6348-6358, 2021.
• Zehui Xiong, Yang Zhang, Wei Yang Bryan Lim, Jiawen Kang, Dusit Niyato, Cyril Leung, and Chunyan Miao, “UAV-assisted wireless energy and data transfer with deep reinforcement learning“, IEEE Transactions on Cognitive Communications and Networking, vol. 7, no. 1, pp. 85-99, 2021.
• Shaohan Feng, Zehui Xiong, Dusit Niyato, Ping Wang, Shaun (Shuxun) Wang, and Xuemin (Sherman) Shen, “Joint pricing and security investment in cloud-insurance market with user interdependency“, IEEE Transactions on Services Computing, accepted.
• Jiawen Kang, Zehui Xiong, Dusit Niyato, Shengli Xie, and Dong In Kim, “Securing data sharing from the sky: Integrating blockchains into drones in 5G and beyond“, IEEE Network, vol. 35, no. 1, pp. 78-85, 2021.
• Zehui Xiong, Jun Zhao, Yang Zhang, Dusit Niyato, and Junshan Zhang, “Contract design in hierarchical game for sponsored content service market”, IEEE Transactions on Mobile Computing, vol. 20, no. 9, pp. 2763-2778, 2021.
• Zehui Xiong, Jiawen Kang, Dusit Niyato, Ping Wang, H. Vincent Poor, and Shengli Xie, “A multi-dimensional contract approach for data rewarding in mobile networks“, IEEE Transactions on Wireless Communications, vol. 19, no. 9, pp. 5779-5793, 2020.
• Ryan Wen Liu, Jiangtian Nie, Sahil Garg, Zehui Xiong, Yang Zhang, and M. Shamim Hossain, “Data-driven trajectory quality improvement for promoting intelligent vessel traffic services in 6G-enabled maritime IoT systems“, IEEE Internet of Things Journal, vol. 8, no. 7, pp. 5374-5385, 2020.
• Helin Yang, A. Alphones, Zehui Xiong, Dusit Niyato, Jun Zhao, and Kaishun Wu, “Artificial Intelligence-enabled intelligent 6G networks“, IEEE Network, vol. 34, no. 6, pp. 272-280, 2020.
• Zehui Xiong, Jun Zhao, Dusit Niyato, Ruilong Deng, and Junshan Zhang, “Reward optimization for content providers with mobile data subsidization: A hierarchical game approach“, IEEE Transactions on Network Science and Engineering, vol. 7, no. 4, pp. 2363-2377, 2020.
• Zehui Xiong, Shaohan Feng, Dusit Niyato, Ping Wang, Yang Zhang, and Bin Lin, “A Stackelberg game approach for sponsored content management in mobile data market with network effects”, IEEE Internet of Things Journal, vol. 7, no. 6, pp. 5184-5201, 2020.
• Jiawen Kang, Zehui Xiong, Dusit Niyato, Yuze Zou, Yang Zhang, and Mohsen Guizani, “Reliable federated learning for mobile networks“, IEEE Wireless Communications, vol. 27, no. 2, pp. 72-80, 2020.
• Zehui Xiong, Jiawen Kang, Dusit Niyato, Ping Wang, and H. Vincent Poor, “Cloud/Edge computing service management in blockchain networks: Multi-leader multi-follower game-based ADMM for pricing“, IEEE Transactions on Services Computing, vol. 13, no. 2, pp. 356-367, 2020.
• Zehui Xiong, Dusit Niyato, Ping Wang, Zhu Han, and Yang Zhang, “Dynamic pricing for revenue maximization in mobile social data market with network effects“, IEEE Transactions on Wireless Communications, vol. 19, no. 3, pp. 1722-1737, 2020.
• Yang Zhang, Zehui Xiong, Dusit Niyato, Ping Wang, H. Vincent Poor, and Dong In Kim, “A game-theoretic analysis for complementary and substitutable IoT services delivery with externalities“, IEEE Transactions on Communications, vol. 68, no. 1, pp. 615-629, 2020.
• Zehui Xiong, Yang Zhang, Nguyen Cong Luong, Dusit Niyato, Ping Wang, and Nadra Guizani, “The best of both worlds: A general architecture for data management in blockchain-enabled Internet-of-Things“, IEEE Network, vol. 34, no. 1, pp. 166-173, 2020.
• Yang Zhang, Zehui Xiong, Dusit Niyato, Ping Wang, and Zhu Han, “Information trading in Internet of Things for smart cities: A market-oriented analysis“, IEEE Network, vol. 34, no. 1, pp.122-129, 2020.
• Jiawen Kang, Zehui Xiong, Dusit Niyato, Shengli Xie, and Junshan Zhang, “Incentive mechanism for reliable federated learning: A joint optimization approach to combining reputation and contract theory“, IEEE Internet of Things Journal, vol. 6, no. 6, pp. 10700-714, 2019.
• Wei Yang Bryan Lim, Zehui Xiong, Chunyan Miao, Dusit Niyato, Qiang Yang, Cyril Leung, and H. Vincent Poor, “Hierarchical incentive mechanism design for federated machine learning in mobile networks“, IEEE Internet of Things Journal, vol. 57, no. 4, pp. 74-80, 2019.
• Zehui Xiong, Yang Zhang, Dusit Niyato, Ruilong Deng, Ping Wang, and Li-Chun Wang, “Deep reinforcement learning for mobile 5G and beyond: Fundamentals, applications and challenges“, IEEE Vehicular Technology Magazine, vol. 14, no. 2, pp. 44-52, 2019.
• Shaohan Feng, Zehui Xiong, Dusit Niyato, Ping Wang, Zhu Han, and Dong In Kim, “Joint traffic routing and virtualized security function activation in wireless multihop networks”, IEEE Transactions on Vehicular Technology, vol. 68, no. 9, pp. 9205-9219, 2019.
• Wenbo Wang, Dinh Thai Hoang, Peizhao Hu, Zehui Xiong, Dusit Niyato, Ping Wang, Yonggang Wen, and Dong In Kim, “A survey on consensus mechanisms and mining management in blockchain networks”, IEEE Access, vol. 7, pp. 22328-22370, 2019.
• Jiawen Kang, Zehui Xiong, Dusit Niyato, Dongdong Ye, Dong In Kim, and Jun Zhao, “Toward secure blockchain-enabled Internet of Vehicles: Optimizing consensus management using reputation and contract theory“, IEEE Transactions on Vehicular Technology, vol. 68, no. 3, pp. 2906-2920, 2019.
• Zehui Xiong, Shaohan Feng, Dusit Niyato, Ping Wang, Amir Leshem, and Zhu Han, “Joint sponsored and edge caching content service market: A game-theoretic approach“, IEEE Transactions on Wireless Communications, vol. 18, no. 2, pp. 1166-1181, 2019.
• Jiangtian Nie, Jun Luo, Zehui Xiong, Dusit Niyato, Ping Wang, and Mohsen Guizani, “An incentive mechanism design for socially-aware crowdsensing services with incomplete information“, IEEE Communications Magazine, vol. 57, no. 4, pp. 74-80, 2019.
• Jiangtian Nie, Jun Luo, Zehui Xiong, Dusit Niyato, and Ping Wang, “A Stackelberg game approach toward socially-aware incentive mechanisms for mobile crowdsensing“, IEEE Transactions on Wireless Communications, vol. 18, no. 1, pp. 724-738, 2019.
• Zehui Xiong, Shaohan Feng, Wenbo Wang, Dusit Niyato, Ping Wang, and Zhu Han, “Cloud/Fog computing resource management and pricing for blockchain networks“, IEEE Internet of Things Journal, vol. 6, no. 3, pp. 4585-4600, 2019.
• Jiawen Kang, Zehui Xiong, Dusit Niyato, Ping Wang, Dongdong Ye, and Dong In Kim, “Incentivizing consensus propagation in proof-of-stake based consortium blockchain networks“, IEEE Wireless Communications Letters, vol. 8, no. 1, pp. 157-160, 2019.
• Wenbo Wang, Zehui Xiong, Dusit Niyato, Ping Wang, and Zhu Han, “A hierarchical game with strategy evolution for mobile sponsored content and service markets“, IEEE Transactions on Communications, vol. 67, no. 1, pp. 472-488, 2019.
• Zehui Xiong, Yang Zhang, Dusit Niyato, Ping Wang, and Zhu Han, “When mobile blockchain meets edge computing“, IEEE Communications Magazine, vol. 56, no. 8, pp. 33-39, 2018.
• Yang Zhang, Zehui Xiong, Dusit Niyato, Ping Wang, and Dong In Kim, “Toward a perpetual IoT system: Wireless power management policy with threshold structure“, IEEE Internet of Things Journal, vol. 5, no. 6, pp. 5254-5270, 2018.