Best Paper Award, IEEE Wireless Communications and Networking Conference (WCNC) 2024, Dubai, United Arab Emirates; Best Paper Award, IEEE International Conference on Communications (ICC) 2023, Rome, Italy; ITU AI/ML in 5G Challenge 2021, ranked third in problem “Federated learning for spatial reuse” and nominated as a finalist in the Grand Challenge Finale; Global scholarship programme for research excellence, 2019; Overseas research attachment programme, 2018; Editor of several IEEE journals including IEEE Communications Magazine, IEEE Transactions on Wireless Communications, etc.
Research Experience
Assistant Professor, IOTSC State Key Lab, University of Macau; Lecturer (AP) in Information Processing, Department of Engineering, University of Exeter; Research Associate, Department of Electrical and Electronic Engineering, Imperial College London; Visiting Scholar, Claude E. Shannon Communication and Network Group, Massachusetts Institute of Technology; Research Assistant, Institute of Network Coding.
Education
Ph.D. in Information Engineering, Chinese University of Hong Kong, Aug. 2016 – Dec. 2020; B.E. and M.E. in Communication Engineering, Xidian University, Sept. 2009 – Jan. 2016.
Background
Research interests include fundamentals of wireless communications, data science and machine learning, networking, and stochastic control. Focuses on exploring deep learning techniques for new breakthroughs in wireless communications, networking, and control, as well as designing new wireless links and networks to support machine learning applications.