Scholar
Zesheng Ye
Google Scholar ID: wNTF8zkAAAAJ
Postdoc Research Fellow at University of Melbourne
Citations & Impact
Citations
196
H-index
8
i10-index
7
Publications
20
Co-authors
8
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published papers on various topics including visual reprogramming and cross-domain recommendation, with some works accepted by ICLR 2025 and NeurIPS 2024.
Research Experience
- Studied uncertainty-aware and sample-efficient human-centric understanding with limited well-annotated data, spanning multiple real-world applications such as Recommender Systems, Brain-Computer Interface, and Human Movement Predictions.
Education
- Ph.D. and Master’s degrees from The University of New South Wales, supervised by Prof. Lina Yao; undergraduate study at Southwest Jiaotong University.
Background
- Currently a Postdoctoral Research Fellow at the Trustworthy Machine Learning and Reasoning Group, School of Computing and Information Systems, The University of Melbourne. His research interests include machine learning models that are robust against distribution shifts, efficient during deployment and adaptation for new tasks, and safe in terms of adversarial attack and privacy breach, especially in the context of emerging multi-modal Foundation Models.
Miscellany
- Can be reached via email at [firstname].[lastname]@unimelb.edu.au.
