Scholar
Gezheng Xu
Google Scholar ID: VE8oAGsAAAAJ
University of Western Ontario
Citations & Impact
Citations
256
H-index
8
i10-index
6
Publications
17
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published papers in top conferences and journals such as IEEE TPAMI, ICLR, AAAI, ICML, and NeurIPS. For example, 'Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice' was accepted to IEEE TPAMI; 'Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control' was accepted to ICLR 2025; 'Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression' was accepted to AAAI 2025.
Research Experience
- Ph.D. research at the University of Western Ontario since May 2021, focusing on transfer learning, trustworthy AI, and related areas.
Education
- Bachelor's degree in Mathematics and Applied Mathematics from Beihang University in 2018; Dual master’s degrees from Beihang University and CentraleSupélec (Paris-Saclay University) in 2021, where he conducted research in Natural Language Processing under the supervision of Prof. Wenge Rong; Started Ph.D. studies at the University of Western Ontario in September 2021, co-supervised by Prof. Boyu Wang and Prof. Charles Ling.
Background
- Research Interests: Transfer Learning, Representation Learning, Trustworthy AI; Field: Computer Science; Background: A fourth-year Ph.D. student in the Machine Learning group at the University of Western Ontario, focusing on challenges in building adaptive and reliable machine learning systems.
Miscellany
- Currently looking for postdoctoral opportunities to continue exploring exciting problems in machine learning and bring experience in transfer learning, trustworthy AI, and interdisciplinary research to a new team.
Co-authors