Zehui Xiong

The openings for research fellow, research assistant, PhD student, visiting student and scholar at SUTD are available, please feel free to send me an email with your resume if you are interested in working with me. For the research staff, the salary will be internationally competitive. For the visiting student/scholar, the subsidy is possible which depends on the background, experience, and motivation of candidates. The potential topics include but are not limited to semantic communications, wireless blockchain, edge intelligence, and Metaverse. The relevant experience, strong profiles and motivations will be preferred.

Biography

Zehui Xiong is an Assistant Professor at Singapore University of Technology and Design (SUTD), and also an Honorary Adjunct Senior Research Scientist with Alibaba-NTU Singapore Joint Research Institute, Singapore. He obtained the B.Eng degree with the highest honors in Telecommunications Engineering at Huazhong University of Science and Technology (HUST), Wuhan, China. He received the Ph.D. degree in Computer Science and Engineering at Nanyang Technological University (NTU), Singapore. He was a visiting scholar with Department of Electrical Engineering at Princeton University and a visiting scholar with Broadband Communications Research (BBCR) Lab in Department of Electrical and Computer Engineering at 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 200 peer-reviewed research papers in leading journals and flagship conferences. He has won over 10 Best Paper Awards in international conferences. He serves as an Editor or Guest Editor for many leading journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Network Science and Engineering. He also serves on the Editorial Board for IEEE Systems Journal, Computer Networks, Computer Communications, Physical Communication, IET Communications, Early Career Advisory Board for IEEE/CAA Journal of Automatica Sinica, and IEEE VTS Ad Hoc Committee for AI in Wireless Communications. He is the recipient of 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 Best Land Transportation Paper Award, IEEE CSIM Technical Committee Best Journal Paper Award, IEEE SPCC Technical Committee Best Paper Award, IEEE VTS Singapore Best Paper Award, Chinese Government Award for Outstanding Students Abroad, and NTU SCSE Best PhD Thesis Runner-Up Award. In 2023, he was featured on the list of Forbes Asia 30 under 30. He is now serving as the Associate Director of Future Communications R&D Programme.

Education:

• Nanyang Technological University (NTU), Singapore

- Ph.D. (July 2016 - April 2020), Computer Science and Engineering

- Academic Advisor: Prof. Dusit Niyato (IEEE Fellow), Prof. Ping Wang (IEEE Fellow)

- NTU SCSE Best PhD Thesis Runner-Up Award

• Huazhong University of Science and Technology (HUST), Wuhan, China

- B.Eng (September 2012 - June 2016), Telecommunications Engineering

- Department of Electronics and Information Communications (EIC)

- Excellent Undergraduate Student Award, Merit Student with National Scholarship (the highest honors)

Working Experience:

• Assistant Professor, Information Systems Technology and Design Pillar, Singapore University of Technology and Design, since January 2021

• Honorary Adjunct Senior Research Scientist, Alibaba-NTU Singapore Joint Research Institute, since July 2022

• Researcher (Research Fellow), Alibaba-NTU Singapore Joint Research Institute, June 2020 - January 2021

• Project Officer, Alibaba-NTU Singapore Joint Research Institute, November 2019 - May 2020

• PhD Candidate, School of Computer Science and Engineering, Nanyang Technological University, July 2016 - October 2019

Visiting Experience:

• Princeton University, July 2019 - August 2019, Host: Prof. H. Vincent Poor

• University of Waterloo, December 2019 - January 2020, Host: Prof. Xuemin (Sherman) Shen

Research Interests:

• 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

• Semantic and goal-oriented communications

• Metaverse and generative AI

Awards: 

• Highly Cited Researcher, Clarivate, 2023

• 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 Community 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

• Best Paper Award, IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), 2022

• IEEE Internet Technical Committee (ITC) Early Career Award, IEEE Communications Society (IEEE ComSoc), 2022

• Best Paper Award, IEEE International Conference on Communications (ICC), 2022

• Best Paper Award, AAAI Workshop on AI for Transportation, 2022

• Exemplary Reviewer, IEEE Transactions on Network Science and Engineering, 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 ComSoc Communications Systems Integration and Modeling (CSIM) Technical Committee, 2021

• IEEE SPCC TC Best Paper Award, IEEE ComSoc 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 (Wireless-Sec), 2021

• Exemplary Reviewer, IEEE Transactions on Communications, 2021

• World’s Top 2% Scientists, Global List Released by Stanford University, 2021-2023

• 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

• University Teaching for Teaching Assistant Certificate, NTU, 2017

• Research Scholarship, NTU, 2016-2020

• Outstanding Undergraduate Thesis Award, Hubei Province, 2016

• Second Prize of Outstanding Scientific Research, Hubei Province, 2016

• Outstanding Undergraduate Award, HUST, 2016

• Merit Students, HUST, 2015

• Technology Innovation Model Award, HUST, 2015

• Outstanding Student, HUST, 2015

• National Scholarship, Ministry of Education of China, 2015

Major Services:

• Associate Director, Future Communications R&D Programme, Singapore (2022-now)

• Chair, IEEE Technical Committee on Cognitive Networks Special Interest Group on "Wireless Blockchain Networks" (2023-now)

• Founding Vice Chair, IEEE Technical Committee on Cognitive Networks Special Interest Group on "Wireless Blockchain Networks" (2021-2022)

• Editor, IEEE Transactions on Vehicular Technology (TVT) (2021-now)

• Editor, IEEE Internet of Things Journal (IoT-J) (2021-now)

• Area Editor, Computer Networks (Elsevier COMNET) (2020-now)

• Area Editor, Physical Communication (Elsevier PHYCOM) (2020-now)

• Associate Editor, IEEE Systems Journal (ISJ) (2021-now)

• Associate Editor, IET Communications (2020-now)

• 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, IEEE/CAA Journal of Automatica Sinica (2021-now)

• Early Career Advisory Board, Computer Engineering (Chinese Journal) (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)

Publications:

Book/Book Chapters:

1. Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Junshan Zhang, and Xuemin (Sherman) Shen "Realizing the Metaverse: A Communications and Networking Perspective", edited book project with IEEE and Wiley, to be published, 2023.

2. Zehui Xiong, Dusit Niyato, and Ping Wang, "Network Effects", in Encyclopedia of Wireless Networks, Edited by X.(S.) Shen, X. Lin, K. Zhang, Springer, 2018.

3. Zehui Xiong, "Sponsored Content Game Theoretic Modeling", in Game Theory for Next Generation Wireless and Communication Networks: Modeling, Analysis, and Design, Edited by Z. Han, D. Niyato, W. Saad, and T. Basar, Cambridge University Press, 2019.

4. Yuan Liu, Mengmeng Tian, Yuxin Chen, Zehui Xiong, and Chunyan Miao, "A Contract Theory-based Incentive Mechanism for Federated Learning", in Federated and Transfer Learning, Edited by R Razavi-Far, B. Wang,  M. E. Taylor, Q. Yang, Springer, 2022.

5. Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, and Chunyan Miao, "Federated Learning Over Wireless Edge Networks", Springer, 2022.

6. Xiaofei Wang, Xiaoxu Ren, Chao Qiu, Zehui Xiong, Dusit Niyato, and Victor C.M. Leung, "Integrating Edge Intelligence and Blockchain: What, Why, and How", Springer, 2022.

7. Randy Goebel, Han Yu, Boi Faltings, Lixin Fan, and Zehui Xiong, "Trustworthy Federated Learning", Springer, 2023.

Journal Articles:

1. W. Yang, X. Chi, L. Zhao, Zehui Xiong, and W. Jiang, "Task-driven semantic-aware green cooperative transmission strategy for vehicular networks", IEEE Transactions on Communications, accepted.

2. Q. Zhang, Zehui Xiong, J. Zhu, S. Gao, and W. Yang, "A privacy-preserving auction mechanism for learning model as an NFT in blockchain-driven Metaverse", ACM Transactions on Multimedia Computing Communications and Applications, accepted.

3. H. Huang, Q. Zhang, T. Li, Q. Yang, Z. Yin, J. Wu, Zehui Xiong, J. Zhu, J. Wu, and Z. Zheng, "Economic systems in Metaverse: Basics, state of the art, and challenges", ACM Computing Surveys, accepted.

4. Z. Shi, X. Xie, H. Lu, H. Yang, Zehui Xiong, J. Cai, and Z. Ding, "DRL-based multidimensional resource management for SWIPT-NOMA-Enabled MEC", IEEE Transactions on Wireless Communications, accepted.

5. X. Xie, M. Li, Z. Shi, H. Yang, Q. Huang, and Zehui Xiong, "Resource allocation in uplink NOMA systems: A hybrid-decision-based multi-agent deep reinforcement learning approach", IEEE Transactions on Vehicular Technology, accepted.

6. X. Zhang, J. Liu, R. Zhang, Y. Huang, J. Tong, N. Xin, L. Liu, and Zehui Xiong, "Energy-efficient computation peer offloading in satellite edge computing networks", IEEE Transactions on Mobile Computing, accepted.

7. J. Kang, J. He, H. Du, Zehui Xiong, Z. Yang, X. Huang, and S. Xie, "Adversarial attacks and defenses for semantic communication in vehicular Metaverses", IEEE Wireless Communications, accepted.

8. Y. Zhao, X. Zhang, X. Gao, K. Yang, Zehui Xiong, and Zhu Han, "Dual-connectivity handover scheme for a 5G-enabled ambulance", IEEE Transactions on Communications, accepted.

9. J. Tang, J. Nie, Y. Zhang, Zehui Xiong, W. Jiang, and Mohsen Guizani, "Multi-UAV-Assisted federated learning for energy-aware distributed edge training", IEEE Transactions on Network and Service Management, accepted.

10. H. Yang, S. Zhang, A. Alphones, C. Chen, K-Y. Lam, Zehui Xiong, L. Xiao, and Y. Zhang, "An advanced integrated visible light communication and localization system", IEEE Transactions on Communications, accepted.

11. J. Wang, H. Du, D. Niyato, M. Zhou, J. Kang, Zehui Xiong, and A. Jamalipour, "Through the wall detection and localization of autonomous mobile device in indoor scenario", IEEE Journal on Selected Areas in Communications, accepted.

12. H. Du, Z. Li, D. Niyato, J. Kang, Zehui Xiong, X. S. Shen, and D. I. Kim, "Enabling AI-generated content (AIGC) services in wireless edge networks", IEEE Wireless Communications, accepted.

13. Y. Huang, M. Xu, X. Zhang, D. Niyato, Zehui Xiong, S. Wang, and T. Huang, "AI-generated network design: A diffusion model-based learning approach", IEEE Network, accepted.

14. J. Wang, H. Du, D. Niyato, M. Zhou, J. Kang, Zehui Xiong, and A. Jamalipour, "Through the wall detection and localization of autonomous mobile device in indoor scenario", IEEE Journal on Selected Areas in Communications, accepted.

15. Z. Q. Liew, M. Xu, W. Y. B. Lim, Zehui Xiong, D. Niyato, and D. I. Kim, "Mechanism design for semantic communication in UAV-assisted Metaverse: A combinatorial auction approach", IEEE Transactions on Vehicular Technology, accepted.

16. J. Kang, J. Wen, D. Ye, B. Lai, T. Wu, Zehui Xiong, J. Nie, D. Niyato, Y. Zhang, and S. Xie, "Blockchain-empowered federated learning for healthcare Metaverses: User-centric incentive mechanism with optimal data freshness", IEEE Transactions on Cognitive Communications and Networking, accepted. 

17. M. Xu, D. Niyato, B. Wright, H. Zhang, J. Kang, Zehui Xiong, S. Mao, and Z. Han, "EPViSA: Efficient auction design for real-time physical-virtual synchronization in the human-centric Metaverse", IEEE Journal on Selected Areas in Communications, accepted.

18. Y. Cheng, D. Niyato, H. Du, J. Kang, Zehui Xiong, C. Miao, and D. I. Kim, "Resource allocation and common message selection for task-oriented semantic information transmission with RSMA", IEEE Transactions on Wireless Communications, accepted.

19. J. Chen, J. Kang, M. Xu, Zehui Xiong, D. Niyato, A. Jamalipour, and S. Xie, "UAV-assisted dynamic avatar task migration for vehicular Metaverse services: A multi-agent deep reinforcement learning approach", IEEE/CAA Journal of Automatica Sinica, accepted.

20. C. Ren, C. Zou, Zehui Xiong, H. Yu, Z. Y. Dong, and D. Niyato, and X. You, "Achieving 500X acceleration for adversarial robustness verification of tree-based smart grid dynamic security assessment", IEEE/CAA Journal of Automatica Sinica, accepted.

21. Y. Guo, Y. Lu, R. W. Liu, J. Nie, L. Lyu, Zehui Xiong, J. Kang, H. Yu, and D. Niyato, "Haze visibility enhancement for promoting traffic situational awareness in vision-enabled intelligent transportation", IEEE Transactions on Vehicular Technology, accepted.

22. J. Chen, J. Kang, M. Xu, Zehui Xiong, D. Niyato, C. Chen, A. Jamalipour, and S. Xie, "Multi-agent deep reinforcement learning for dynamic avatar migration in AIoT-enabled vehicular Metaverses with trajectory prediction", IEEE Internet of Things Journal, accepted.

23. M. Xu, D. Niyato, J. Chen, H. Zhang, J. Kang, Zehui Xiong, S. Mao, and Z. Han, "Generative AI-empowered simulation for autonomous driving in vehicular mixed reality Metaverses", IEEE Journal of Selected Topics in Signal Processing, accepted. 

24. M. Xu, D. Niyato, H. Zhang, J. Kang, Zehui Xiong, S. Mao, and Z. Han, "Sparks of GPTs in edge intelligence for Metaverse: Caching and inference for mobile AIGC services", IEEE Vehicular Technology Magazine, accepted. 

25. H. Du, R. Zhang, D. Niyato, J. Kang, Zehui Xiong, D. I. Kim, X. S. Shen, and H. V. Poor, "Exploring collaborative distributed diffusion-based AI-generated content (AIGC) in wireless networks", IEEE Network, accepted.

26. W. C. Ng, W. Y. B. Lim, Zehui Xiong, D. Niyato, H. V. Poor, X. S. Shen, and C. Miao, "Resource optimization for UAV-assisted wireless power charging enabled hybrid coded edge computing network", IEEE Transactions on Mobile Computing, accepted.

27. H. Du, J. Wang, D. Niyato, J. Kang, Zehui Xiong, M. Guizani, and D. I. Kim, "Rethinking wireless communication security in semantic Internet of Things", IEEE Wireless Communications, accepted.

28. H. Du, J. Wang, D. Niyato, J. Kang, Zehui Xiong, J. Zhang, and S. Shen, "Semantic communications for wireless sensing: RIS-aided encoding and self-supervised decoding", IEEE Journal on Selected Areas in Communications, accepted.

29. X. Chen, J. An, Zehui Xiong, C. Xing, N. Zhao, F. R. Yu, and A. Nallanathan, "Covert communications: A comprehensive survey", IEEE Communications Surveys & Tutorials, accepted.

30. Y. Jiang, J. Kang, X. Ge, D. Niyato, and Zehui Xiong, "QoE analysis and resource allocation for wireless Metaverse services", IEEE Transactions on Communications, accepted.

31. Y. Yang, B. Zhang, D. Guo, R. Xu, W. Wang, Zehui Xiong, and D. Niyato, "Semantic sensing performance analysis: Assessing keyword coverage in text data", IEEE Transactions on Vehicular Technology, accepted.

32. Y. Yuan, D. W. Soh, K. Guo, Zehui Xiong, and T. Q. S. Quek, "Joint network topology inference via structural fusion regularization", IEEE Transactions on Knowledge and Data Engineering, accepted.

33. M. Xu, X. Ren, D. Niyato, J. Kang, C. Qiu, Zehui Xiong, X. Wang, and V. C. M. Leung, "When quantum information technologies meet blockchain in web 3.0", IEEE Network, accepted.

34. Y. Liu, H. Du, D. Niyato, J. Kang, Zehui Xiong, C. Miao, X. S. Shen, and A. Jamalipour, "Blockchain-empowered lifecycle management for AI-generated content (AIGC) products in edge networks", IEEE Wireless Communications, accepted.

35. H. Wu, J. Nie, Zehui Xiong, Z. Cai, T. Zhou, C. Yuen, and D. Niyato, "A game-based incentive-driven offloading mechanism for dispersed computing", IEEE Transactions on Communications, accepted.

36. Y.-J. Liu, H. Du, D. Niyato, G. Feng, J. Kang, and Zehui Xiong, "Slicing4Meta: An intelligent integration architecture with multi-dimensional network resources for Metaverse-as-a-Service in web 3.0", IEEE Communications, accepted.

37. H. Du, J. Liu, D. Niyato, J. Kang, Zehui Xiong, J. Zhang, and D. I. Kim, "Attention-aware resource allocation and QoE analysis for Metaverse xURLLC services", IEEE Journal on Selected Areas in Communications, accepted.

38. W. Wang, Y. Yang, Zehui Xiong, and D. Niyato, "Footstone of Metaverse: A timely and secure crowdsensing", IEEE Network, accepted.

39. Minrui Xu, Dusit Niyato, Zhaohui Yang, Zehui Xiong, Jiawen Kang, Dong In Kim, and Xuemin (Sherman) Shen, "Privacy-preserving intelligent resource allocation for federated edge learning in Quantum Internet", IEEE Journal of Selected Topics in Signal Processing, accepted.

40. Cheng Peng, Qin Hu, Zhilin Wang, Wen Liu, and Zehui Xiong, "Online learning based fast-convergent and energy-efficient device selection in federated edge learning", IEEE Internet of Things Journal, accepted.

41. Siyue Zhang, Wei Yang Bryan Lim, Wei Chong Ng, Zehui Xiong, Dusit Niyato, Xuemin (Sherman) Shen, and Chunyan Miao, "Towards green Metaverse networking: Technologies, advancements and future directions", IEEE Network, accepted.

42. Wanting Yang, Hongyang Du, Ziqin Liew, Wei Yang Bryan Lim, Zehui Xiong*, Dusit Niyato, Xuefen Chi, Xuemin (Sherman) Shen, and Chunyan Miao, "Semantic communications for future Internet: Fundamentals, applications, and challenges", IEEE Communications Surveys & Tutorials, accepted.

43. Minghui Xu, Yihao Guo, Qin Hu, Zehui Xiong, Dongxiao Yu, and Xiuzhen Cheng, "A Trustless Architecture of Blockchain-enabled Metaverse", High-Confidence Computing, accepted.

44. Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong*, Dusit Niyato, Qiang Yang, Xuemin (Sherman) Shen, and Chunyan Miao, "A full dive into realizing the edge-enabled Metaverse: Visions, enabling technologies, and challenges", IEEE Communications Surveys & Tutorials, accepted. [ESI Highly Cited Paper]

45. H. Du, B. Ma, D. Niyato, J. Kang, Zehui Xiong, and Z. Yang, "Rethinking quality of experience for Metaverse services: A consumer-based economics perspectives", IEEE Network, accepted.

46. J. Tang, J. Nie, Y. Zhang, Y. Duan, Zehui Xiong, and D. Niyato, "Air-Ground collaborative edge intelligence for future generation networks", IEEE Network, accepted.

47. 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.

48. Qian Li, Tao Shang, Tang Tang, and Zehui Xiong, "Adaptive user association scheme for indoor multi-user NOMA-VLC systems", IEEE Wireless Communications Letters, accepted.

49. Qin Hu, Shengling Wang, Zehui Xiong*, and Xiuzhen Cheng, "Nothing waste: Full contribution enforcement in federated edge learning", IEEE Transactions on Mobile Computing, accepted. (*Corresponding author)

50. Y. Yang, B. Zhang, D. Guo, W. Wang, J. Nie, Zehui Xiong, R. Xu, X. Zhou, "Stochastic geometry-based age of information performance analysis for privacy preservation-oriented mobile crowdsensing", IEEE Transactions on Vehicular Technology, accepted.

51. Z. Wang, Q. Hu, R. Li, M. Xu, and Zehui Xiong, "Incentive mechanism design for joint resource allocation in blockchain-based federated Learning", IEEE Transactions on Parallel and Distributed Systems, accepted.

52. H. Du, J. Wang, D. Niyato, J. Kang, Zehui Xiong, and Dong In Kim, "Exploring attention-aware network resource allocation for customized metaverse services", IEEE Network, accepted.

53. W. Jiang, P. Xiong, J. Nie, Z. Ding, C. Pan, and Zehui Xiong, "Robust design of IRS aided multi-group multicast system with imperfect CSI", IEEE Transactions on Wireless Communications, accepted.

54. Z. Wang, H. Yao, T. Mai, Zehui Xiong, X. Wu, D. Wu, and S. Guo, "Learning to routing in UAV swarm Network: A multi-agent reinforcement learning approach", IEEE Transactions on Vehicular Technology, accepted.

55. Hongjia Wu, Hui Zeng, Tongqing Zhou, Zhiping Cai, Zehui Xiong, Dusit Niyato, and Zhu Han, "From eye to brain: A proactive and distributed crowdsensing framework for federated learning", IEEE Internet of Things Journal, accepted.

56. Minrui Xu, Dusit Niyato, Zehui Xiong, Jiawen Kang, Xianbin Cao, Xuemin (Sherman) Shen, and Chunyan Miao, "Quantum-secured space-air-ground integrated networks: Concept, framework, and case study", IEEE Wireless Communications, accepted.

57. Zi Qin Liew, Hongyang Du, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Chunyan Miao, and Dong In Kim, "Economics of semantic communication system: An auction approach", IEEE Transactions on Vehicular Technology, accepted.

58. Jianbo Du, Yan Sun, Ning Zhang, Zehui Xiong, Aijing Sun, and Zhiguo Ding, "Cost-effective task offloading in NOMA-enabled vehicular mobile edge computing", IEEE Systems Journal, accepted.

59. 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.

60. 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, accepted.

61. Xiaolong Wang, Haipeng Yao, Tianle Mai, Zehui Xiong, Fu Wang, and Yunjie Liu, "Joint routing and scheduling with cyclic queuing and forwarding for time-sensitive networks", IEEE Transactions on Vehicular Technology, accepted.

62. 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.

63. 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. (*Corresponding author)

64. Yuqiao Tong, Dongdong Li, Zhutian Yang, Zehui Xiong, Nan Zhao, and Yonghui Li, "Outage analysis of rate splitting networks with an untrusted user", IEEE Transactions on Vehicular Technology, accepted.

65. X. Tan, W. C. Ng, W. Y. B. Lim, Zehui Xiong, D. Niyato, and H. Yu, "Reputation-aware federated learning client selection based on stochastic integer programming", IEEE Transactions on Big Data, accepted.

66. Jingfu Li, Zehui Xiong, Dusit Niyato, Weifeng Su, Wenjiang Feng, and Weiheng Jiang, "Relay assisted partial interference elimination schemes for K-user delay-sensitive networks", IEEE Transactions on Wireless Communications, accepted.

67. H. Du, J. Wang, D. Niyato, J. Kang, Zehui Xiong, and D. I. Kim, "AI-Generated incentive mechanism and full-duplex semantic communications for information sharing", IEEE Journal on Selected Areas in Communications, vol. 41, no. 9, pp. 2981-2997, 2023.

68. 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, vol. 22, no. 2, pp. 744-764, 2023.

69. Yanli Yuan, Dewen Soh, Zehui Xiong*, and Tony Q.S. Quek "Applicable and partial learning of graph topology without sparsity priors", IEEE Transactions on Network Science and Engineering, vol. 10, no. 1, pp. 360-371, 2023.

70. J. Kang, H. Du, Z. Li, Zehui Xiong, S. Ma, D. Niyato, and Y. Li, "Personalized saliency in task-oriented semantic communications: Image transmission and performance analysis", IEEE Journal on Selected Areas in Communications (JSAC), vol. 41, no. 1, pp. 189-201, 2023.

71. Y. Jiang, J. Kang, D. Niyato, X. Ge, Zehui Xiong, C. Miao, and X. S. Shen, "Reliable distributed computing for Metaverse: A hierarchical game-theoretic approach", IEEE Transactions on Vehicular Technology, vol. 72, no. 1, pp. 1084-1100, 2023.

72. C. Wang, X. Chen, J. An, Zehui Xiong, C. Xing, N. Zhao, and D. Niyato, "Covert communication assisted by UAV-IRS", IEEE Transactions on Communications, vol. 71, no. 1, pp. 357-369, 2023. [ESI Highly Cited Paper]

73. Wanting Yang, Zi Qin Liew, Wei Yang Bryan Lim, Zehui Xiong*, Dusit Niyato, Xuefen Chi, Xianbin Cao, and Khaled B. Letaief, "Semantic communication meets edge intelligence", IEEE Wireless Communications, vol. 29, no. 5, pp. 28-35, 2022.

74. G. Bansal, K. Rajgopal, V. Chamola, Zehui Xiong*, and D. Niyato, "Healthcare in Metaverse: A Survey On Current and Future Metaverse Applications in Healthcare", IEEE Access, vol. 10, pp. 119914-119946, 2022.

75. 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 13(1), pp. 1-12, 2022.

76. Chenlu Zhuansun, Kedong Yan, Gongxuan Zhang, Zehui Xiong, and Chanying Huang, "Hypergraph-based resource allocation for ultra-dense wireless network in Industrial IoT", IEEE Communications Letters, vol. 26, no. 9, pp. 2106-2110, 2022.

77. N. C. Luong, T. T. Anh, Zehui Xiong, D. Niyato, and D. I. Kim, "Joint time scheduling and transaction fee selection in blockchain-based RF-powered backscatter cognitive radio network", Elsevier Computer Networks, vol. 214 (109135), 2022.

78. Qinglin Yang, Huawei Huang, Zehui Xiong, Jiawen Kang, and Zibin Zheng, "Fusing Blockchain and AI with Metaverse: A survey", IEEE Open Journal of the Computer Society, vol. 3, pp. 122-136, 2022.

79. Yuan Liu, Zehui Xiong, Qin Hu, Dusit Niyato, Jie Zhang, Chunyan Miao, Cyril Leung, and Zhihong Tian, "VRepChain: A decentralized and privacy-preserving reputation system for social Internet of Vehicles based on blockchain", IEEE Transactions on Vehicular Technology, vol. 71, no. 12, pp. 13242-13253, 2022.

80. Y.-A. Xie, Z. Liu, S. Wang, J. Kang, Zehui Xiong, K. Y. Chan, and D. Niyato, "Secure information transmission for B5G HetNets: A robust game approach", IEEE Internet of Things Journal, vol. 9, no. 21, pp. 21505-21519, 2022.

81. 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, vol. 7, no. 2, pp. 107-121, 2022.

82. 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, vol. 24, no. 4, pp. 2193-2229, 2022.

83. 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), vol. 40, no. 9, pp. 2643-2661, 2022.

84. 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, vol. 52, no. 6, 2022.

85. 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, vol. 252 (124041), 2022.

86. 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, vol. 6, no. 3, pp. 1574-1587, 2022.

87. 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, vol. 6, no. 4, pp. 1494-1510, 2022.

88. 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 multigraph convolutional network", IEEE Transactions on Industrial Informatics, vol. 18, no. 11, pp. 7977-7987, 2022. [ESI Highly Cited Paper]

89. 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, vol. 24, no. 2, pp. 1175-1211, 2022. [ESI Highly Cited Paper]

90. Jiawen Kang, Xuandi Li, Jiangtian Nie, Yi Liu, Minrui Xu, Zehui Xiong*, Dusit Niyato, and Qiang Yan, "Communication-efficient and cross-chain empowered federated learning for Artificial Intelligence of Things", IEEE Transactions on Network Science and Engineering, vol. 9, no. 5, pp. 2966-2977, 2022. (*Corresponding author)

91. 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, vol. 21, no. 9, pp. 6935-6948, 2022.

92. Y. Zhang, M. Liu, J. Nie, Q. Ding, Y. Duan, Y. Zhang, and Zehui Xiong, "ReflectU: A mirror-based intelligent interactive system for intuitive remote control", IEEE Transactions on Industrial Informatics, vol. 18, no. 8, pp. 5504-5514, 2022.

93. 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, vol. 29, no. 1, pp. 119-125, 2022.

94. 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, vol. 9, no. 22, pp. 22095-22108, 2022.

95. 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, vol. 21, no. 6, pp. 3617-3631, 2022.

96. Shaohan Feng, Zehui Xiong, Dusit Niyato, Ping Wang, Shaun (Shuxun) Wang, and Xuemin (Sherman) Shen, "Joint pricing and security investment in cloud security service market with user interdependency", IEEE Transactions on Services Computing, vol. 15, no. 3, pp. 1461-1472, 2022.

97. 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), vol. 33, no. 11, pp. 2675-2686, 2022. (*Corresponding author)

98. 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, vol. 9, no. 4, pp. 2637-2648, 2022.

99. 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, vol. 71, no. 2, pp. 1832-1845, 2022. (*Corresponding author)

100. Wenqi Yang, Yang Zhang, Jiangtian Nie, Helin Yang, Jiawen Kang, and Zehui Xiong, "Federated learning based smart data collection mechanism in unmanned aerial vehicle systems", Computer Engineering (Chinese Journal), vol. 48 no. 1, pp. 188-196, 2022.

101. Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong*, Xianbin Cao, Dusit Niyato, Cyril Leung, and Dong In Kim, "A hierarchical incentive design toward motivating participation in coded federated learning", IEEE Journal on Selected Areas in Communications (JSAC), vol. 40, no. 1, pp. 359-375, 2022. (*Corresponding author)

102. 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 (TPDS), vol. 33, no. 3, pp. 536-550, 2022. [ESI Highly Cited Paper] (*Corresponding author)

103. Wei Yang Bryan Lim, Zehui Xiong, Jiawen Kang, Dusit Niyato, Cyril Leung, Chunyan Miao, and Xuemin (Sherman) Shen, "When information freshness meets service latency in federated learning: A task-aware incentive scheme for smart industries", IEEE Transactions on Industrial Informatics, vol. 18, no. 1, pp. 457-466, 2022. [ESI Highly Cited Paper]

104. 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. (*Corresponding author)

105. 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. (*Corresponding author)

106. 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.

107. Wanting Yang, Xuefen Chi, Linlin Zhao, and Zehui Xiong, "QoE-based MEC-assisted predictive adaptive video streaming for on-road driving scenarios", IEEE Wireless Communications Letters, vol. 10, no. 11, pp. 2552-2556, 2021.

108. 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 Services Computing, vol. 14, no. 5, pp. 1492-1504, 2021.

109. 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. (*Corresponding author)

110. 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, vol. 70, no. 10, pp. 10369-10381, 2021.

111. 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 Communications Surveys & Tutorials, vol. 23, no. 3, pp. 1800-1837, 2021.

112. 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.

113. 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.

114. 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. [ESI Highly Cited Paper] (*Corresponding author)

115. 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. (*Corresponding author)

116. 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.

117. 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.

118. K. Peng, Jiangtian Nie, N. Kumar, C. 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.

119. T. Mai, S. Garg, H. Yao, Jiangtian Nie, G. Kaddoum, and Zehui Xiong, "In-network intelligence control: Toward a self-driving networking architecture", IEEE Network, vol. 35, no. 2, pp. 53-59, 2021.

120. Yulan Gao, Chao Yong, Zehui Xiong, Jun Zhao, Yue Xiao, and Dusit Niyato, "Reflection resource management for intelligent reflecting surface aided wireless networks", IEEE Transactions on Communications, vol. 69, no. 10, pp. 6971-6986, 2021.

121. H. Han, J. 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.

122. 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.

123. 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. (*Corresponding author)

124. 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. (*Corresponding author)

125. Wen Liu, Meifang Yang, Jiangtian Nie, Yang Zhang, Helin Yang, and Zehui Xiong*, "Low-light maritime image enhancement based on local generative adversarial network", Computer Engineering (Chinese Journal), vol. 47, no. 5, pp. 16-23, 2021. (*Corresponding author)

126. 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. (*Corresponding author)

127. 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. [ESI Hot Paper] [ESI Highly Cited Paper] (*Corresponding author)

128. 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. [ESI Highly Cited Paper]

129. 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.

130. S. Tang, C. Wang, Jiangtian Nie, N. Kumar, Yang Zhang, and Zehui Xiong, "EDL-COVID: Ensemble deep learning for COVID-19 case detection from chest X-Ray images", IEEE Transactions on Industrial Informatics, vol. 17, no. 9, pp. 6539-6549, 2021.

131. 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. [ESI Highly Cited Paper]

132. 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. [ESI Highly Cited Paper] [IEEE CSIM TC Best Journal Paper Award] (*Corresponding author)

133. 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.

134. 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. 7, no. 10, pp. 9575-9588, 2020. (*Corresponding author)

135. 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.

136. 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.

137. 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.

138. 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.

139. 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. (*Corresponding author)

140. 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.

141. 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. (*Corresponding author)

142. 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. [ESI Highly Cited Paper] (*Corresponding author)

143. 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.

144. 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. [ESI Highly Cited Paper] (*Corresponding author)

145. 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. [ESI Highly Cited Paper] 

146. 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. 

147. 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. [ESI Highly Cited Paper]

148. 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. [IEEE Vehicular Technology Society (VTS) Singapore Best Paper Award] [ESI Highly Cited Paper]

149. 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.

150. 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. (*Corresponding author)

151. 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. (*Corresponding author)

152. 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. [ESI Highly Cited Paper]

153. 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. 

154. 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.

155. 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. [ESI Highly Cited Paper]

156. 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.

Conference Proceedings:

1. Tong Wu, Haipeng Yao, Wenji He, Zunliang Wang, Tianle Mai, Zehui Xiong, and Song Guo, "Low-cost network measurement through intelligent In-band network telemetry orchestration", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, December 2023.

2. Can Wang, Helin Yang and Liang Xiao, Huabing Lu, and Zehui Xiong, "Joint trajectory optimization and power control for cognitive UAV-Assisted secure communications", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, December 2023.

3. Ziling Shao, Helin Yang, Liang Xiao, Wei Su, and Zehui Xiong, "Energy and latency-aware resource management for UAV-Assisted mobile edge computing against jamming", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, December 2023.

4. M. Xu, D. Niyato, H. Zhang, J. Kang, Zehui Xiong, S. Mao, and Z. Han, "Joint foundation model caching and inference of generative AI services for edge intelligence", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, December 2023.

5. H. Du, J. Wang, D. Niyato, J. Kang, Zehui Xiong, D. I. Kim, and B. H. Soong, "Performance analysis of free-space information sharing in full-duplex semantic communications", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, December 2023.

6. G. Liu, H. Du, D. Niyato, J. Kang, Zehui Xiong, and B. H. Soong, "Vision-based semantic communications for Metaverse services: A contest theoretic approach", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, December 2023.

7. H. Zhang, R. Wang, Q. Wu, J. Hao, and Zehui Xiong, "Mobility-aware service function chain deployment with migration in NFV-based edge-cloud'", in Proceedings of International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), SIngapore, August 2023.

8. Q. Zhang, Zehui Xiong, J. Zhu, W. Yang, D. Niyato, and S. Gao, "Ownership tokenization and incentive design for learning-based user-generated content in blockchain-driven Metaverse", in Proceedings of IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom), Kyoto, Japan, June 2023. 

9. J. Wen, J. Kang, Zehui Xiong, Y. Zhang, H. Du, Y. Jiao, and D. Niyato, "Task freshness-aware incentive mechanism for vehicle twin migration in vehicular Metaverses", in Proceedings of IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom), Kyoto, Japan, June 2023. 

10. M. Xu, D. Niyato, H. Zhang, J. Kang, Zehui Xiong, S. Mao, and Z. Han, "Generative AI-empowered effective physical-virtual synchronization in the vehicular Metaverse", in Proceedings of IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom), Kyoto, Japan, June 2023. 

11. V. H. Tan, W. Y. B. Lim, Zehui Xiong, and D. Niyato, "Blockchain for decentralized know your customer (KYC) and customer due diligence (CDD) pipelines in the Metaverse", in Proceedings of IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom), Kyoto, Japan, June 2023. 

12. Y. Jiang, J. Kang, D. Niyato, X. Ge, Zehui Xiong, M. Xu, and R. Deng, "Joining edge-enabled Metaverse services with network externality: A Stackelberg game approach", in Proceedings of IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom), Kyoto, Japan, June 2023.

13. W. He, H. Yao, F. Wang, Z. Wang, and Zehui Xiong, "Enhancing the efficiency of UAV swarms communication in 5G networks through a hybrid split and federated learning approach", in Proceedings of IEEE International Wireless Communications & Mobile Computing Conference (IWCMC), Marrakesh, Morocco, June 2023. 

14. J. Chen, J. Nie, M. Xu, L. Lyu, Zehui Xiong, J. Kang, Y. Tong, and W. Jiang, "Multiple-agent deep reinforcement learning for avatar migration in vehicular Metaverses", in Proceedings of WWW Companion: Companion Proceedings of the ACM Web Conference 2023 Proceedings (Workshop), Austin, Texas, USA, April-May 2023. [Best Paper Award]

15. S. Chen, X. Tan, Y. Yu, W. Y. Lim, Zehui Xiong, and Han Yu, "Privacy budget-aware incentive mechanism for federated learning in intelligent transportation systems", in Proceedings of IEEE International Conference on Communications (ICC), Rome, Italy, May 2023. 

16. M. Xu, D. Niyato, J. Kang, Zehui Xiong, and M. Chen, "Learning-based sustainable multi-user computation offloading for mobile edge-quantum computing", in Proceedings of IEEE International Conference on Communications (ICC), Rome, Italy, May 2023. 

17. J. Lu, J. Nie, J. Li, W. Feng, Zehui Xiong, D. Niyato, and W. Jiang, "SIC-STIA-IS: An interference management scheme for the UAV-assisted heterogeneous network", in Proceedings of IEEE International Conference on Communications (ICC), Rome, Italy, May 2023.

18. H. Zhang, J. Nie, Y. Yu, Zehui Xiong, W. Jiang, and D. Niyato, "Performance analysis for STAR-RIS assisted SWIPT system over rayleigh fading channel", in Proceedings of IEEE International Conference on Communications (ICC), Rome, Italy, May 2023. 

19. R. Kaewpuang, M. Xu, D. Niyato, H. Yu, Zehui Xiong, and J. Kang, "Stochastic qubit resource allocation for quantum cloud computing", in Proceedings of IEEE/IFIP Network Operations and Management Symposium (NOMS), Miami, FL, USA, May 2023.

20. H. Du, J. Zhang, D. Niyato, J. Kang, Zehui Xiong, J. Zhang, and X. S. Shen, "Lightweight wireless sensing through RIS and inverse semantic communications", in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, Scotland, UK, March 2023.

21. R. Kaewpuang, M. Xu, D. Niyato, H. Yu, Zehui Xiong, and S. X. Shen, "Adaptive resource allocation in Quantum key distribution (QKD) for federated learning", in Proceedings of International Conference on Computing, Networking and Communications (ICNC), Honolulu, Hawaii, USA, February 2023.

22. Z. Q. Liew, H. Du, W. Y. B. Lim, Zehui Xiong, Dusit Niyato, and Han Yu, "Economics of semantic communication in Metaverse: An auction approach", in IEEE Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, USA, January 2023.

23. R. Xu, W. Liu, J. Nie, X. Deng, Zehui Xiong, W. Jiang, H. Yu, and D. Niyato, "AIS data-based efficient ship trajectory clustering", in Proceedings of IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), Melbourne, Australia, December 2022.

24. Y. Gong, H. Yao, Zehui Xiong, S. Guo, R. Yu, and D. Niyato, "Computation offloading and energy harvesting schemes for sum rate maximization in SAG networks", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Rio de Janeiro, Brazil, December 2022.

25. B. Chen, J. Nie, W. Jiang, X. Zhang, and Zehui Xiong, "Robust design for the IRS-assisted multicast communications with statistical CSI errors", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Rio de Janeiro, Brazil, December 2022.

26. J. Li, W. Feng, J. Nie, G. Chen, and Zehui Xiong, "Adaptive interference elimination and regeneration scheme for cooperative MIMO system", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Rio de Janeiro, Brazil, December 2022.

27. Y. Gao, Z. Ye, H. Yu, Zehui Xiong, Y. Xiao, and D. Niyato, "Multi-resource allocation for on-device distributed federated learning systems", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Rio de Janeiro, Brazil, December 2022.

28. R. Kaewpuang, M. Xu, D. Niyato, H. Yu, and Zehui Xiong, "Resource allocation in quantum key distribution (QKD) for space-air-ground integrated networks", in Proceedings of IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Paris, France, November 2022.

29. W. Yu, M. Xu, D. Yu, X. Cheng, Q. Hu, and Zehui Xiong, "zk-PCN: A privacy-preserving payment channel network using zk-SNARKs", in Proceedings of IEEE International Performance Computing and Communications Conference (IPCCC), Austin, Texas, USA, November 2022.

30. X. Huang, W. Zhong, J. Nie, Q. Hu, Zehui Xiong, J. Kang, and T. Q. S. Quek, "Joint user association and resource pricing for Metaverse: distributed and centralized approaches", in Proceedings of IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), Denver, Colorado, USA, October 2022.

31. C. Wang, X. Chen, J. An, Zehui Xiong, N. Zhao, and D. Niyato, "IRS-Assisted UAV Covert Communication via Location and Power Optimization", in Proceedings of IEEE International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, October 2022.

32. J. Wen, X. Liu, Zehui Xiong, M. Shen, S. Wang, Y. Jiao, J. Kang, and H. Li, "Optimal Block Propagation and Incentive Mechanism for Blockchain Networks in 6G", in Proceedings of IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Wuhan, China, October 2022.

33. J. Qu, R. W. Liu, J. Nie, X. Deng, Zehui Xiong, Y. Zhang, H. Yu, and D. Niyato, "Edge computing-enabled multi-sensor data fusion for intelligent surveillance in maritime transportation systems", in Proceedings of IEEE International Conference on Dependable, Autonomic & Secure Computing (DASC), Calabria, Italy, September 2022.

34. J. Kang, D. Ye, J. Nie, J. Xiao, X. Deng, S. Wang, Zehui Xiong, R. Yu, and D. Niyato, "Blockchain-based federated learning for industrial Metaverses: Incentive scheme with optimal AoI", in Proceedings of IEEE International Conference on Blockchain (IEEE Blockchain), Espoo, Finland, August 2022.

35. W. Ni, S. Zhu, MM. Karim, A. Alia, J. Kang, Zehui Xiong, and Carsten Maple, "Lagrange coded federated learning (L-CoFL) model for Internet of Vehicles", in Proceedings of IEEE International Conference on Distributed Computing Systems (ICDCS), Bologna, Italy, July 2022.

36. X. Huang, W. Zhong, J. Nie, J. Kang, Zehui Xiong, Y. Wu, and M. Guizani, "Joint parking and power management for electric vehicle edge computing: A bilevel optimization approach", in Proceedings of IEEE International Wireless Communications & Mobile Computing Conference (IWCMC), Dubrovnik, Croatia, June 2022. [Best Paper Award]

37. W. C. Ng, W. Y. B. Lim, J. S. Ng, Zehui Xiong, D. Niyato, and C. Miao, "Unified resource allocation framework for the edge intelligence-enabled Metaverse", in Proceedings of IEEE International Conference on Communications (ICC), Seoul, South Korea, May 2022.

38. M. Xu, D. Niyato, J. Kang, Zehui Xiong, C. Miao, and D. I. Kim, "Wireless edge-empowered Metaverse: A learning-based incentive mechanism for virtual reality", in Proceedings of IEEE International Conference on Communications (ICC), Seoul, South Korea, May 2022.

39. J. Tang, J. Nie, W. Y. B. Lim, Y. Zhang, Zehui Xiong, D. Niyato, and M. Guizani, "Intelligent edge-aided network slicing for 5G and beyond networks", in Proceedings of IEEE International Conference on Communications (ICC), Seoul, South Korea, May 2022.

40. J. Li, Zehui Xiong, W. Feng, W. Jiang, and D. Niyato, "Retrospective interference regeneration schemes for relay-aided K-user MIMO broadcast networks", in Proceedings of IEEE International Conference on Communications (ICC), Seoul, South Korea, May 2022.

41. W. Y. B. Lim, J. S. Ng, J. Nie, Q. Hu, Zehui Xiong, D. Niyato, and C. Miao, "Evolutionary model owner selection for federated learning with heterogeneous privacy budgets", in Proceedings of IEEE International Conference on Communications (ICC), Seoul, South Korea, May 2022.

42. J. S. Ng, W. C. Ng, W. Y. B. Lim, Zehui Xiong, D. Niyato, C. Leung, and C. Miao, "UAV-assisted wireless power charging for efficient hybrid coded edge computing network", in Proceedings of IEEE International Conference on Communications (ICC), Seoul, South Korea, May 2022.

43. Z. Wang, H. Yao, T. Mai, Zehui Xiong, and F. R. Yu, "Cooperative reinforcement learning aided dynamic routing in UAV swarm networks", in Proceedings of IEEE International Conference on Communications (ICC), Seoul, South Korea, May 2022. [Best Paper Award]

44. X. R. Z. Ho, W. Y. B. Lim, H. Jiang, J. S. Ng, H. Yu, Zehui Xiong, D. Niyato, and C. Miao, "Dynamic incentive mechanism design for COVID-19 social distancing", in Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22), demo track, Vancouver, Canada, February 2022.

45. D. Feng, C. Helena, W. Y. B. Lim, J. S. Ng, H. Jiang, Zehui Xiong, J. Kang, H. Yu, D. Niyato, and C. Miao, "CrowdFL: A marketplace for crowdsourced federated learning", in Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22), demo track, Vancouver, Canada, February 2022.

46. Y. Guo, W. Liu, J. Nie, L. Lyu, Zehui Xiong, J. Kang, H. Yu, and D. Niyato, "DADFNet: Dual attention and dual frequency-guided dehazing network for video-empowered intelligent transportation", in Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22) Workshop on AI for Transportation, Vancouver, Canada, February, 2022. [Best Paper Award]

47. W. C. Ng, W. Y. B. Lim, J. S. Ng, S. Sawadsitang, Zehui Xiong, and D. Niyato, "Optimal stochastic coded computation offloading in unmanned aerial vehicles network", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, December 2021.

48. Z. Shi, X. Zhong, S. Garg, H. Lu, H. Yang, and Zehui Xiong, "Deep reinforcement learning based big data resource management for 5G/6G communications", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, December 2021.

49. W. Jiang, B. Chen, S. Garg, Jiangtian Nie, J. Zhao, and Zehui Xiong, "Joint transmit precoding and reflect beamforming for IRS-assisted MIMO-OFDM secure communications", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, December 2021.

50. Q. Zhu, Y. Xiao, S. Garg, Y. Gao, W. Tang, and Zehui Xiong, "Dynamic active-passive beamforming for intelligent reflecting surface aided UAV communications", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, December 2021.

51. H. Yang, K-Y. Lam, J. Nie, J. Zhao, S. Garg, L. Xiao, Zehui Xiong, and Mohsen Guizani, "3D beamforming based on deep learning for secure communication in 5G and beyond wireless networks", in Proceedings of IEEE Global Communications Conference Workshop on 5G and Beyond Wireless Security (IEEE Wireless-Sec), Madrid, Spain, December 2021. [Best Paper Award]

52. J. S. Ng, W. Y. B. Lim, Zehui Xiong, X. Deng, Y. Zhang, D. Niyato, and C. Leung, "A hierarchical incentive mechanism for coded federated learning", in Proceedings of International Conference on Mobility, Sensing and Networking (MSN), Exeter, UK, December 2021.

53. Wen Liu, Maohan Liang, Jiangtian Nie, Xianjun Deng, Zehui Xiong, Jiawen Kang, Helin Yang, and Yang Zhang, "Intelligent data-driven vessel trajectory prediction in marine transportation cyber-physical system", in Proceedings of the 14th IEEE International Conference on Cyber, Physical and Social Computing (CPSCom), Melbourne, Australia, December 2021. [Best Paper Award]

54. W. Ni, J. Kang, C. Maple, Zehui Xiong, and A. Asheralieva, "Fast and Secure Consortium Blockchains with Lightweight Block Verifiers", in Proceedings of the 3rd IEEE International Conference on Blockchain Computing and Applications (BCCA), Tartu, Estonia, November 2021. [Best Paper Runner Up Award]

55. W. Y. B. Lim, J. S. Ng, Zehui Xiong, S. Garg, Y. Zhang, D. Niyato, and C. Miao, "Dynamic edge association in hierarchical federated learning networks", in Proceedings of IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Shenyang, China, October 2021. [Best Paper Award]

56. J. S. Ng, W. Y. B. Lim, Zehui Xiong, S. Garg, D. Niyato, and C. Leung, "An incentive mechanism for resource allocation in coded distributed computing", in Proceedings of IEEE International Conference on Big Data Science and Engineering (BigDataSE), Shenyang, China, October 2021.

57. Helin Yang, J. Zhao, K-Y. Lam, S. Garg, Q. Wu, and Zehui Xiong, "Deep reinforcement learning based resource allocation for heterogeneous networks", in Proceedings of 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Virtual Conference, October 2021.

58. Mengmeng Tian, Yuxin Chen, Yuan Liu, Zehui Xiong, Cyril Leung, and Chunyan Miao, "A contract theory based incentive mechanism for federated learning", in International Workshop on Federated and Transfer Learning for Data Sparsity and Confidentiality in Conjunction with IJCAI (FTL-IJCAI'21), Virtual Conference, August 2021. [Best Student Paper Award]

59. Wen Liu, Maohan Liang, Jiangtian Nie, Sahil Garg, Yang Zhang, and Zehui Xiong, "Extraction of hottest shipping routes: From positioning data to intelligent surveillance", in Proceedings of IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI), Virtual Conference, August 2021.

60. H. Z. C. Teng, H. Jiang, X. R. Z. Ho, W. Y. B. Lim, J. S. Ng, H. Yu, Zehui Xiong, D. Niyato, and C. Miao, "Predictive analytics for COVID-19 social distancing", in Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), demo track, Montreal, Canada, August 2021.

61. A. Z. H. Yapp, H. S. N. Koh, Y. T. Lai, J. Kang, X. Li, J. S. Ng, H. Jiang, W. Y. B. Lim, Zehui Xiong, and D. Niyato, "Communication-efficient and scalable decentralized federated edge learning", in Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), demo track, Montreal, Canada, August 2021.

62. J. S. Ng, W. Y. B. Lim, Zehui Xiong, S. Garg, Y. Zhang, D. Niyato, and C. Leung, "A double auction mechanism for coded distributed computing in smart vehicles", in Proceedings of the 18th International Conference on Wireless Networks and Mobile Systems (WINSYS), Virtual Confenrece, July 2021. [Best Paper Award]

63. Yunhan Huang, Zehui Xiong, and Quanyan Zhu, "Cross-layer coordinated attacks on cyber-physical systems: A LQG game framework with controlled observations", in European Control Conference, Virtual Conference, June 2021. (invited paper)

64. J. S. Ng, W. Y. B. Lim, Zehui Xiong, S. Garg, D. Niyato, and C. Leung, "Deep-learning based auction resource allocation in coded computation offloading for Internet-of-Things", in Proceedings of IEEE International Conference on Communications Workshop on 5G and Beyond Wireless Security (IEEE Wireless-Sec), Montreal, Canada, June 2021.

65. J. S. Ng, W. Y. B. Lim, S. Garg, Zehui Xiong, D. Niyato, M. Guizani, and C. Leung, "Collaborative coded computation offloading: An all-pay auction approach", in Proceedings of IEEE International Conference on Communications (ICC), Montreal, Canada, June 2021.  [IEEE SPCC TC Best Paper Award]

66. H. Yang, J. Zhao, Jiangtian Nie, N. Kumar, K-Y. Lam, and Zehui Xiong, "Joint scheduling and resource management based on asynchronous reinforcement learning for UAV-assisted 5G networks", in Proceedings of IEEE INFOCOM Workshop on Drone Assisted Wireless Communications for 5G and Beyond (DroneCom), Virtual Conference, May 2021.

67. Jiangtian Nie, Jun Luo, Zehui Xiong, Dusit Niyato, Ping Wang, and Yang Zhang, "Multi-leader multi-follower game-based incentive scheme for socially-aware mobile crowdsensing", in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Nanjing, China, March 2021.

68. H. Jiang, W. Y. B. Lim, J. S. Ng, H. Z. C. Teng, H. Yu, Zehui Xiong, Dusit Niyato, and Chunyan Miao, "AI-empowered decision support for COVID-19 social distancing", in Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21), demo track, Virtual Conference, Feburary 2021.

69. Wei Yang Bryan Lim, Jianqiang Huang, Zehui Xiong, Jiawen Kang, Dusit Niyato, Xian-Sheng Hua, Cyril Leung, and Chunyan Miao, "Multi-dimensional contract-matching for federated learning in UAV-enabled Internet of vehicles", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Taipei, December 2020.

70. Jer Shyuan Ng, Wei Yang Bryan Lim, Hong-Ning Dai, Zehui Xiong, Jianqiang Huang, Dusit Niyato, Xian-Sheng Hua, Cyril Leung, Chunyan Miao, "Communication-efficient federated learning in UAV-enabled IoV: A joint auction-coalition formation approach", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Taipei, December 2020.

71. Yi Liu, Neeraj Kumar, Zehui Xiong, Wei Yang Bryan Lim, Jiawen Kang, and Dusit Niyato, "Communication-efficient federated learning for anomaly detection in industrial Internet of Things", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Taipei, December 2020.

72. C. Qiu, X. Wang, H. Yao, Zehui Xiong, Fei Richard Yu, and Victor C.M. Leung, "Bring intelligence among edges: A blockchain-assisted edge intelligence approach", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Taipei, December 2020.

73. Helin Yang, Zehui Xiong, Jun Zhao, Dusit Niyato, Qingqing Wu, M. Tornatore, and S. Secci, "Intelligent reflecting surface assisted anti-jamming communications based on reinforcement learning", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Taipei, December 2020.

74. T. Mai, H. Yao, Zehui Xiong, Song Guo, and Dusit Niyato, "Multi-agent actor-critic reinforcement learning based in-network load balance", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Taipei, December 2020.

75. Yulan Gao, Chao Yong, Zehui Xiong, Dusit Niyato, Yue Xiao, and Jun Zhao, "Resource allocation for intelligent reflecting surface aided cooperative communications", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Taipei, December 2020.

76. Ang Ji, Ran Wang, Kun Zhu, Zehui Xiong, and Dusit Niyato, "Peer effect-based demand response in smart grid: A game theoretical approach", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Taipei, December 2020.

77. Yulan Gao, Chao Yong, Zehui Xiong, Dusit Niyato, Yue Xiao, and Jun Zhao, "A stackelberg game approach to resource allocation for intelligent reflecting surface aided communications", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Taipei, December 2020.

78. Helin Yang, Yang Zhao, Zehui Xiong, Jun Zhao, Dusit Niyato, Kwok-Yan Lam, and Qingqing Wu, "Deep reinforcement learning based intelligent reflecting surface for secure wireless communications", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Taipei, December 2020.

79. Wei Yang Bryan Lim, Zehui Xiong, Jiawen Kang, Dusit Niyato, Yang Zhang, Cyril Leung, and Chunyan Miao, "An incentive scheme for federated learning in the sky", in Proceedings of ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond (DroneCom), London, UK, September 2020. [Best Paper Award]

80. Jiawen Kang, Zehui Xiong, Chunxiao Jiang, Yi Liu, Song Guo, Yang Zhang, Dusit Niyato, Cyril Leung, and Chunyan Miao, "Scalable and communication-efficient decentralized federated edge learning with multi-blockchain framework", in International Conference on Blockchain and Trustworthy Systems (BlockSys), Dali, China, August 2020.

81. Wei Yang Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Song Guo, Cyril Leung, and Chunyan Miao, "Dynamic resource allocation for hierarchical federated learning", in Proceedings of the 16th International Conference on Mobility, Sensing and Networking (MSN), Tokyo, Japan, December 2020.

82. T. Mai, H. Yao, X. Zhang, Zehui Xiong, and Dusit Niyato, "A distributed reinforcement learning approach to in-network congestion control", in Proceedings of IEEE/CIC International Conference on Communications in China (ICCC), Chongqing, China, August 2020. [Best Paper Award]

83. Wenqi Yang, Yang Zhang, Wei Yang Bryan Lim, Zehui Xiong, Yutao Jiao, and Jiangming Jin, "Privacy is not free: Energy-aware federated learning for mobile and edge intelligence", in Proceedings of the 12th International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, October 2020.

84. Jiangtian Nie, Jun Luo, Zehui Xiong, Dusit Niyato, Ping Wang, and Yang Zhang, "Incentive mechanism for socially-aware mobile crowdsensing: A Bayesian Stackelberg game", in Proceedings of the 15th International Conference on Wireless Algorithms, Systems, and Applications (WASA), Qingdao, China, September 2020.

85. Zehui Xiong, Jun Zhao, Jiawen Kang, Dusit Niyato, Ruilong Deng, and Shengli Xie, "Towards the future data market: Reward optimization in mobile data subsidization", in Proceedings of EAI International Conference on 6G for Future Wireless Networks (6GN), Tianjin, China, September 2020. [Best Paper Award]

86. Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Jianqiang Huang, Xian-Sheng Hua, and Chunyan Miao, "Incentive mechanism design for federated learning in vehicular ad hoc networks", in Proceedings of IEEE Vehicular Technology Conference (VTC), Fall, Victoria, Canada, October 2020.

87. Yulan Gao, Chao Yong, Zehui Xiong, Dusit Niyato, Yue Xiao, and Jun Zhao, "Reconfigurable intelligent surface for MISO systems with proportional rate constraints", in Proceedings of IEEE International Conference on Communications (ICC), Dublin, Ireland, June 2020.

88. Zehui Xiong, Wei Yang Bryan Lim, Jiawen Kang, Dusit Niyato, Ping Wang, and Chunyan Miao, "Incentive mechanism design for mobile data rewards using multi-dimensional contract", in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea, April 2020. [Best Paper Award]

89. Zehui Xiong, Jun Zhao, Dusit Niyato, Ping Wang, and Yang Zhang, "Design of contract-based sponsorship scheme in Stackelberg game for sponsored content market", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, December 2019.

90. Jiawen Kang, Zehui Xiong, Dusit Niyato, Zhiguang Cao, and Amir Leshem, "Training task allocation in federated edge learning: A matching-theoretic approach", in Proceedings of IEEE Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, USA, January 2020.

91. Jiawen Kang, Zehui Xiong, Dusit Niyato, Han Yu, Ying-Chang Liang, and Dong In Kim, "Incentive design for efficient federated learning in mobile networks: A contract theory approach", in Proceedings of the 16th IEEE Asia Pacific Wireless Communications Symposium (APWCS), Singapore, August 2019.

92. Jiawen Kang, Zehui Xiong, Dusit Niyato, and Dong In Kim, "Incentivizing secure block verification by contract theory in blockchain-enabled vehicular networks", in Proceedings of IEEE International Conference on Communications (ICC), Shanghai, China, May 2019. 

93. Zehui Xiong, Shaohan Feng, Dusit Niyato, Ping Wang, Amir Leshem, and Yang Zhang, "Game theoretic analysis for joint sponsored and edge caching content service market", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, UAE, December 2018.

94. Jiangtian Nie, Zehui Xiong, Dusit Niyato, Ping Wang, and Jun Luo, "A socially-aware incentive mechanism for mobile crowdsensing service market", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, UAE, December 2018.

95. Shaohan Feng, Zehui Xiong, Dusit Niyato, Ping Wang, and Yang Zhang, "Cyber risk management with risk aware cyber-insurance in blockchain networks", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, UAE, December 2018.

96. Shaohan Feng, Zehui Xiong, Dusit Niyato, Ping Wang, and Amir Leshem, "Evolving risk management against advanced persistent threats in fog computing", in Proceedings of IEEE International Conference on Cloud Networking (CloudNet), Tokyo, Japan, October 2018.

97. Shaohan Feng, Zehui Xiong, Dusit Niyato, and Ping Wang, "Competitive security pricing in cyber-insurance market: A game-theoretic analysis", in Proceedings of IEEE Vehicular Technology Conference (VTC), Fall, Chicago, USA, August 2018. (Invited paper)

98. Zehui Xiong, Shaohan Feng, Dusit Niyato, Ping Wang, and Zhu Han, "Optimal pricing-based edge computing resource management in mobile blockchain", in Proceedings of IEEE International Conference on Communications (ICC), Kansas City, MO, USA, May 2018.

99. Nguyen Cong Luong, Zehui Xiong, Ping Wang, and Dusit Niyato, "Optimal auction for edge computing resource management in mobile blockchain networks: A deep learning approach", in Proceedings of IEEE International Conference on Communications (ICC), Kansas City, MO, USA, May 2018.

100. Yutao Jiao, Ping Wang, Dusit Niyato, and Zehui Xiong, "Social welfare maximization auction in edge computing resource allocation for mobile blockchain", in Proceedings of IEEE International Conference on Communications (ICC), Kansas City, MO, USA, May 2018.

101. Zehui Xiong, Shaohan Feng, Dusit Niyato, Ping Wang, and Yang Zhang, "Competition and cooperation analysis for data sponsored market: A network effects model", in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spain, April 2018.

102. Yang Zhang, Zehui Xiong, Dusit Niyato, Ping Wang, and Jiangming Jin, "Joint optimization of information trading in Internet of Things (IoT) market with externalities", in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spain, April 2018.

103. Shaohan Feng, Zehui Xiong, Dusit Niyato, Ping Wang, and Shaun (Shuxun) Wang, "Joint pricing and security investment for cloud-insurance: A security interdependency perspective", in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spain, April 2018.

104. Zehui Xiong, Shaohan Feng, Dusit Niyato, Ping Wang, and Yang Zhang, "Economic analysis of network effects on sponsored content: A hierarchical game theoretic approach", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Singapore, December 2017.

105. Zehui Xiong, Shaohan Feng, Dusit Niyato, Ping Wang, and Zhu Han, "Network effect-based sequential dynamic pricing for mobile social data market", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Singapore, December 2017.

106. Wenbo Wang, Zehui Xiong, Dusit Niyato, and Ping Wang, "A hierarchical game with strategy evolution for mobile sponsored content/service markets", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Singapore, December 2017.

107. Yang Zhang, Zehui Xiong, Dusit Niyato, Ping Wang, and Jiangming Jin, "A game-theoretic analysis of complementarity, substitutability and externalities in cloud services", in Proceedings of IEEE Global Communications Conference (GLOBECOM), Singapore, December 2017.

108. Zehui Xiong and Bang Wang, “Minimizing confident information coverage breach in rechargeable wireless sensor networks with uneven recharging rates”, in Proceedings of the 11th International Conference on Green, Pervasive and Cloud Computing (GPC), Xi'an, China, May 2016. (Acceptance ratio: 20/94 = 21.3%) (Undergraduate publication)

109. Zehui Xiong, Bang Wang, and Zhongsi Wang, "Priority-based greedy scheduling for confident information coverage in energy harvesting wireless sensor networks", in Proceedings of IEEE the 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN), Shenzhen, China, December 2015. (Undergraduate publication)

110. Zhongsi Wang, Bang Wang, and Zehui Xiong, "A novel coverage algorithm based on 3D-voronoi cell for underwater wireless sensor networks", in Proceedings of IEEE the 7th International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, October 2015. (Undergraduate publication)

Professional Activities:

Editorship:

• Editor, IEEE Transactions on Vehicular Technology (TVT) (2021-now)

• Editor, IEEE Internet of Things Journal (IoT-J) (2021-now)

• Area Editor, Computer Networks (Elsevier COMNET) (2020-now)

• Area Editor, Physical Communication (Elsevier PHYCOM) (2020-now)

• Associate Editor, IEEE Systems Journal (ISJ) (2021-now)

• Associate Editor, IET Communications (2020-now)

• 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 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 Transactions on Cognitive Communications and Networking, Special Issue on "Convergence of Collaborative Distributed Machine Learning and Edge Computing Towards Intelligent Networking"

• Guest Editor, IEEE Journal of Biomedical and Health Informatics, Special Issue on ``Metaverse for Healthcare Trends, Challenges, and Solutions"

• Guest Editor, IEEE Open Journal of Vehicular Technology, Special Issue on "Distributed Intelligence for Future Vehicular 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, 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, IEEE/CAA Journal of Automatica Sinica (2021-now)

• Early Career Advisory Board, Computer Engineering (Chinese Journal) (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-now)

• Symposium/Track Co-Chair, IEEE International Conference on Communications (ICC), 2025

• General Co-Chair, IEEE International Conference on Sustainable Computing and Communications (SustainCom), 2023

• Program 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, IEEE International Conference on Computing, Networking and Communications (ICNC), 2023

• Symposium/Track Co-Chair, IEEE 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

• Program Co-Chair, The 20th IEEE International Conference on Embedded and Ubiquitous Computing (EUC), 2022

• Program 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

Technical Program Committee Member:

• IEEE International Conference on Distributed Computing Systems (ICDCS), 2022

• AAAI International Workshop on Trustable, Verifiable and Auditable Federated Learning (FL-AAAI), 2022

• IEEE International Conference on Communications (ICC), 2022

• IEEE/CIC International Conference on Communications in China (ICCC), 2021, 2022

• ICML Workshop on Federated Learning for User Privacy and Data Confidentiality (FL-ICML), 2021

• IEEE Journal on Selected Areas in Communications (JSAC), Machine Learning in Communications and Networks Series, 2021

• IEEE International Conference on Communications (ICC), 2021

• IEEE INFOCOM Workshop on Global Internet Symposium, 2021

• IEEE Vehicular Technology Conference (VTC), Spring, 2021

• IEEE Journal on Selected Areas in Communications (JSAC), Machine Learning in Communications and Networks Series, 2020

• International Joint Conference on Artificial Intelligence (IJCAI-PRICAI), 2020

• ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2020

• The International Conference on Mobility, Sensing and Networking (MSN), 2020

• IEEE GLOBECOM Workshop on Edge Learning over 5G Networks and Beyond, 2020

• IEEE ICC Workshop on Edge Machine Learning for 5G Mobile Networks and Beyond, 2020

• EAI International Conference on 6G for Future Wireless Networks (6GN), 2020

• IEEE Vehicular Technology Conference (VTC), Fall, 2020

• IEEE Vehicular Technology Conference (VTC), Spring, 2020

• IEEE Computational Intelligence Magazine, Special Issue on Computational Intelligence for Internet of Things in the Big Data Era, 2019

• IEEE Vehicular Technology Conference (VTC), Fall, 2019 

• IEEE Vehicular Technology Conference (VTC), Spring, 2019 

• The International Wireless Communications & Mobile Computing Conference (IWCMC), 2019, 2020

• IEEE Asia Pacific Wireless Communications Symposium (APWCS), 2018

Technical Reviewers:

• Proceedings of the IEEE

• IEEE Journal on Selected Areas in Communications (JSAC)

• IEEE Transactions on Mobile Computing (TMC)

• IEEE Transactions on Signal Processing (TSP)

• IEEE Transactions on Wireless Communications (TWC)

• IEEE Transactions on Communications (TCOM)

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

• IEEE/ACM Transactions on Networking (ToN)

• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

• IEEE Transactions on Services Computing (TSC)

• IEEE Transactions on Cloud Computing (TCC)

• IEEE Transactions on Parallel and Distributed Systems (TPDS)

• IEEE Transactions on Knowledge and Data Engineering (TKDE)

• IEEE Transactions on Vehicular Technology (TVT)

• IEEE Transactions on Dependable and Secure Computing (TDSC) 

• IEEE Transactions on Information Forensics an Security (T-IFS) 

• IEEE Transactions on Intelligent Transportation Systems (T-ITS)

• IEEE Transactions on Industrial Informatics (TII)

• IEEE Transactions on Engineering Management (TEM)

• IEEE Transactions on Cognitive Communications and Networking (TCCN)

• ACM Transactions on Intelligent Systems and Technology (TIST)

• ACM Transactions on Internet of Things (TIOT)

• ACM Transactions on Internet Technology (TOIT)

• Transactions on Emerging Telecommunications Technologies

• Elsevier Future Generation Computer Systems

• Elsevier Journal of Network and Computer Applications

• ACM Computing Surveys

• IEEE Communications Magazine

• IEEE Wireless Communications

• IEEE Network

• IEEE Computational Intelligence Magazine

• IEEE Access

• IEEE Proceedings: INFOCOM, GLOBECOM, ICC, WCNC, VTC, HPCC, WASA, TrustCom, IPCCC, SmartGridComm, WCSP, IWCMC, ICNC, APWCS, Greencom, ICCC...

Membership:

• Senior Member, IEEE (2023-now)

• Senior Member, IEEE Communications Society (2023-now)

Invited Talk/Tutoriails:

• Invited talk, "​Blockchain-empowered Federated Learning", Artificial Intelligence for University Educators in Asia Programme (TF–NTU AI Asia), 2022

• Invited talk, "Federated Learning and its Applications in Edge AI and Metaverse", IEEE HotICN, 2022

• Tutorial, "Realizing the Metaverse with Edge Intelligence: A Tutorial", IEEE GLOBECOM, 2022

• Tutorial, "Towards Edge Intelligence for the Metaverse: A Tutorial", IEEE ICC, 2023

• Tutorial, "Developing the Metaverse with Edge Intelligence: A Tutorial", IEEE GLOBECOM, 2023

Teaching Experience:

• Leading Instructor, 51.510 Blockchain Systems and Applications (Graduate), SUTD, 2022, 2023

• Leading Instructor, 50.037 Blockchain Technology (Undergraduate), SUTD, 2021, 2022, 2023

• Instructor, Capstone, 2023, 2024

• Leading Instructor, 50.004 Algorithms (Undergraduate), SUTD, 2021

• Teaching Assistant, CE/CZ 1003: Introduction to Computational Thinking (Python), 2017-2018, NTU

• Teaching Assistant, CE3005: Computer Networks, 2018-2019, NTU

• Teaching Assistant, CE/CZ1012: Engineering Mathematics II, 2018-2019, NTU

• Teaching Assistant, CE/CZ1005: Digital Logic, 2019, NTU

Miscellaneous:

The words that I love:

Bad times make a good man;

Life is but a hard and tortuous journey;

Keep on going, never give up;

Just do it! (Follow your heart ;-)