Scholar
Han Zhao
Google Scholar ID: x942ipYAAAAJ
Department of Computer Science, University of Illinois Urbana-Champaign
Citations & Impact
Citations
6,457
H-index
38
i10-index
76
Publications
20
Co-authors
179
list available
Publications
Resume (English only)
Academic Achievements
- Published papers such as 'A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning'.
Research Experience
- Before joining UIUC, he was a machine learning researcher at D. E. Shaw & Co.
Education
- Ph.D. from the Machine Learning Department, Carnegie Mellon University; BEng from the Department of Computer Science, Tsinghua University; MMath from the University of Waterloo.
Background
- Currently an assistant professor in the Department of Computer Science at the University of Illinois Urbana-Champaign, also affiliated with the Department of Electrical and Computer Engineering. He is also an Amazon scholar at Amazon AI and Search Science. His research interests are broad, focusing on trustworthy machine learning, including transfer learning (domain adaptation/generalization/distributional robustness, multitask/meta-learning), algorithmic fairness, probabilistic circuits, and their applications in natural language, signal processing, and quantitative finance. His long-term goal is to build efficient, robust, fair, and interpretable trustworthy ML systems.
Miscellany
- Provides advice for prospective students on his personal homepage, including that PhD applicants should apply through the UIUC CS graduate program and mention his name in their research statement; for undergraduate or MS students at UIUC, they can get involved in research by filling out a Google form, with higher chances if they have a high GPA, performed well in math/statistics/machine learning related courses, can commit 12+ hours per week to research, and have strong programming skills.
