Li ZENG (Johnny) | 曾 理
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Ph.D. Candidate Department of Electronic and Computer Engineering (ECE) The Hong Kong University of Science and Technology (HKUST) Email: lzengan@connect.ust.hk Office: Room 3116, Academic Building, HKUST, Clear Water Bay, Kowloon, Hong Kong. [Google Scholar] [Github] [LinkedIn] |
Welcome to my homepage!
I am a Ph.D. candidate with the Department of Electronic and Computer Engineering (ECE), The Hong Kong University of Science and Technology (HKUST), Hong Kong.
I feel extremely privileged to have the esteemed Prof. Khaled B. Letaief as my supervisor.
Previously, I received my B.Eng. degree with honor in 2021 and my M.S. degree in 2024 from ShanghaiTech University, Shanghai, China, both in computer science, working with Prof. Yuanming Shi and Prof. Dingzhu Wen.
Research Interest
I am interested in understanding, utilizing and developing elegant theoretical tools as well as provable learning-based methods to direct the design of and optimize the performance of the next generation communication networks.
My particular focus lies in applying graph theory, discrete algorithms, and mathematical optimization for federated edge learning, computing power network and non-terrestrial networks in 5G/6G.
News
Publications
Y. Shi, L. Zeng, J. Zhu, Y. Zhou, C. Jiang and K. B. Letaief, "Satellite Federated Edge Learning: Architecture Design and Convergence Analysis," IEEE Trans. Wireless Commun., Oct. 2024. [Paper]
L. Zeng, D. Wen, G. Zhu, C. You, Q. Chen and Y. Shi, "Federated Learning With Energy Harvesting Devices," IEEE Trans. Green Commun. Netw., Aug. 2023. [Paper]
L. Zeng, D. Wen, G. Zhu, C. You, Q. Chen, and Y. Shi, "Joint Bandwidth Allocation, Computation Control, and Device Scheduling for Federated Learning with Energy Harvesting Devices," in Proc. Asilomar Conf. on Signals, Systems, and Comput., Pacific Grove, CA, USA, Oct. 2022, pp. 1164–1168. [Paper]