Zhe Li
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Zhe Li |
Bio
Zhe is currently a second-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 concentrate on the following fields:
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Large-Scale Distributed/Federated Optimization
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Efficient Fine-Tuning of Large Language Models
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Explainablele AI
I am glad to discuss ideas about my research interests, so please feel free to reach out!
Recent News
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Mar. 2026: Our paper "HOSL: Hybrid-Order Split Learning for Memory-Constrained Edge Training" has been accepted to WiOpt 2026.
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Mar. 2026: Glad to receive financial assistance from ICLR'26.
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Mar. 2026: Our paper "Understanding Learning Dynamics of Zeroth-Order Optimization" has been accepted to Sci4DL at ICLR 2026.
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Jan. 2026: Our paper "Converge Faster, Talk Less: Hessian-Informed Federated Zeroth-Order Optimization" has been accepted to ICLR 2026.
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Nov. 2025: Glad to receive NeurIPS 2025 Scholar Award.
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Sept. 2025: Our paper "Exploring LLMs' Potential for Privacy Leakage Detection in Android App Logs: An Empirical Study" has been accepted to IEEE Software.
Sept. 2025: We have THREE papers accepted to NeurIPS 2025 (two for main conference, one for workshop)
- "Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable"
- "Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach"
- "HiSo: Efficient Federated Zeroth-Order Optimization via Hessian-Informed Acceleration and Scalar-Only Communication" (OPT'25 Workshop)
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May. 2025: Successfully passed the Ph.D. Qualifying Exam.
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Apr. 2025: Our paper "FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning" has been accepted to IJCAI 2025.
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Jan. 2025: Our paper "Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization" has been accepted to ICLR 2025.
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
Conference Reviewer: KDD'24, INFOCOM'25'26, IJCNN'25'26, NeurIPS'25, ICLR'26, ICML'26, COLM'26
Workshop Reviewer: FedVision@CVPR'25'26, CFAgentic@ICML'25, RSI@ICLR'26
Journal Reviewer: IEEE Transactions on Signal Processing