Scholar
Zhe Li
Google Scholar ID: lGXOg-8AAAAJ
Rochester Institute of Technology
Citations & Impact
Citations
11
H-index
1
i10-index
1
Publications
5
Co-authors
3
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Received NeurIPS 2025 Scholar Award in November 2025.
- Paper 'Exploring LLMs' Potential for Privacy Leakage Detection in Android App Logs: An Empirical Study' accepted by IEEE Software.
- Three papers accepted to NeurIPS 2025 (two for main conference, one for workshop).
- Successfully passed the Ph.D. Qualifying Exam in May 2025.
- Paper 'FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning' accepted to IJCAI 2025.
- Paper 'Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization' accepted to ICLR 2025.
- Paper 'DeComFL: Federated Learning with Dimension-Free Communication' accepted to FL@FM-NeurIPS'24 (Oral).
- Reviewer for KDD'24, INFOCOM'24'26, IJCNN'25, FedVision@CVPR'25, CFAgentic@ICML'25, NeurIPS'25, ICLR'26.
Research Experience
- Joined RIT to study for his Ph.D. in August 2024, advised by Dr. Haibo Yang.
Education
- Ph.D., Computing and Information Sciences, Rochester Institute of Technology (in progress), M.S., Electrical Engineering, University of Southern California (May 2024), B.Eng., Software Engineering, Shanghai University of Electric Power (July 2019)
Background
- Currently a second-year Ph.D. student in the Computing and Information Sciences program at Golisano College of Computing and Information Sciences, Rochester Institute of Technology (RIT), advised by Dr. Haibo Yang. Research interests include large-scale distributed/federated learning and efficient training of large language models.
Miscellany
- Contact: zl4063@rit.edu, Google Scholar, GitHub, LinkedIn
