Zhe Li
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Zhe Li |
Bio
Zhe is currently a first-year Ph.D. student in Computing and Information Sciences program at Golisano College of Computing and Information Sciences at Rochester Institute of Technology (RIT), advised by Dr. Haibo Yang. His research interests mainly concentrate on addressing issues caused by heterogeneity and improving communication and memory efficiency of federated or large-scale distributed systems by optimization techniques (e.g., first-order and zeroth-order optimization).
I am glad to discuss ideas about my research interests, so please feel free to reach out!
Recent News
May. 2025: Successfully passed the Ph.D. Qualifying Exam.
Apr. 2025: Our paper "FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning" has been accepted to IJCAI 2025.
Jan. 2025: Our paper "Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization" has been accepted to ICLR 2025.
Nov. 2024: Our paper "DeComFL: Federated Learning with Dimension-Free Communication" has been accepted to FL@FM-NeurIPS'24 (Oral).
Aug. 2024: Joined RIT to study for my Ph.D., advised by Dr. Haibo Yang.
Education
Ph.D., Computing and Information Sciences, Rochester Institute of Technology, Present
M.S., Electrical Engineering, University of Southern California, May 2024
B.Eng., Software Engineering, Shanghai University of Electric Power, July 2019
Professional Services
Reviewer: KDD'24, INFOCOM'24, IJCNN'25, FedVision@CVPR'25, CFAgentic@ICML'25, NeurIPS'25, DSAA'25