Zehui Xiong

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Assistant Professor

Email: 
Website: https://sites.google.com/view/zehuixiong
Office #: 1.402-02
Pillar / Cluster: Information Systems Technology and Design
Research Areas:Secure Computing, Artificial and Augmented Intelligence, Data Science, Networked and Autonomous Systems

Biography

Zehui Xiong is currently an Assistant Professor in the Pillar of Information Systems Technology and Design, Singapore University of Technology Design. Prior to that, he was a researcher with Alibaba-NTU Joint Research Institute, Singapore. He received the PhD degree in Nanyang Technological University, Singapore. He was the visiting scholar at Princeton University and University of Waterloo. His research interests include wireless communications, network games and economics, blockchain, and edge intelligence. He has published more than 90 research papers in leading journals and flagship conferences and 4 of them are ESI Highly Cited Papers. He has won 5 Best Paper Awards in international conferences and technical committee. He is now serving as the editor or guest editor for many leading journals including IEEE Transactions. He is the recipient of the Chinese Government Award for Outstanding Students Abroad in 2019, and NTU SCSE Best PhD Thesis Runner-Up Award in 2020.

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, 2016
  • Ph.D., Computer Science and Engineering, Nanyang Technological University, Singapore, 2020

Working and Visiting Experience

  • Jan. 2021 – Present, Assistant Professor, Singapore University of Technology and Design, Singapore
  • Jun. 2020 – Jan. 2021, Research Fellow, Alibaba-NTU Joint Research Institute, Singapore
  • Nov. 2019 – May. 2020, Project Officer, Alibaba-NTU Joint Research Institute, Singapore
  • Dec. 2019 – Jan. 2020, Visiting Scholar, University of Waterloo, Canada
  • Jul. 2019 – Aug. 2019, Visiting Scholar, Princeton University, USA
  • Aug. 2016 – Nov. 2019, PhD Candidate, Nanyang Technological University, Singapore

Recent Awards and Recognitions

  • 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
  • Chinese Government Award for Outstanding Students Abroad (Prestigious Award presented to 500 Ph.D. students worldwide each year), 2019

Major Services

  • Vice Chair, IEEE Technical Committee on Cognitive Networks (TCCN) Special Interest Group (SIG) on “Wireless Blockchain Networks”
  • 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 Open Journal of Vehicular Technology, Special Issue on “Distributed Intelligence for Future Vehicular Networks”
  • 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”
  • Editor, Elsevier Computer Networks (COMNET) (2020-now)
  • Editor, Elsevier Physical Communication (PHYCOM) (2020-now)
  • Associate Editor, IET Communications (2020-now)
  • Technical Committee, Elsevier Computer Communications (COMCOM) (2020-now)
  • Youth Editorial 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)

Selected Publications

For a full list of my publications, please see my homepage or google scholar.

  • 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, accepted.
  • 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, accepted.
  • 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, accepted.
  • 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, accepted.
  • 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, accepted.
  • 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, accepted.
  • 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, accepted.
  • 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, accepted.
  • 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, accepted.
  • Wei Yang Bryan Lim, Sahil Garg, Zehui Xiong, Dusit Niyato, Cyril Leung, Chunyan Miao, and Moshen Guizani, “Dynamic contract design for federated learning in smart healthcare applications“, IEEE Internet of Things Journal, accepted.
  • 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, accepted.
  • 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, accepted.
  • Helin Yang, A. Alphones, Zehui Xiong, Dusit Niyato, Jun Zhao, and Kaishun Wu, “Artificial Intelligence-enabled intelligent 6G networks“, IEEE Network, accepted.
  • 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, accepted.
  • 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, accepted.
  • 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, accepted.
  • 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, accepted.
  • 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, accepted.
  • 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, accepted.
  • 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, accepted.
  • 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, accepted.
  • 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, accepted.
  • Jiawen Kang, Zehui Xiong, Dusit Niyato, Yuze Zou, Yang Zhang, and Mohsen Guizani, “Reliable federated learning for mobile networks“, IEEE Wireless Communications, accepted.
  • 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, accepted.
  • 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.
  • 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.

Research Areas

  • Network economics, optimization, and intelligence in networking systems
  • Blockchain for secure and privacy-preserved data management
  • Federated machine learning for edge AI systems
  • Crowd intelligence and edge learning for smart Internet of Things
  • Resource management in wireless communications and beyond

Openings

The openings for PhD students and visiting students/scholars at SUTD are available, please feel free to send me an email with your resume if you are interested in working with me.

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