Han Zhao | 赵晗


Machine Learning Researcher, D. E. Shaw & Co
Adjunct Assistant Professor
Department of Computer Science
University of Illinois at Urbana-Champaign
Email: hanzhao [AT] illinois (DOT) edu
[Curriculum Vitae] [Google Scholar] [Research Statement] [Thesis]

About Me

I obtained my Ph.D. from the Machine Learning Department, Carnegie Mellon University, where I was advised by Geoff Gordon. Previously, I obtained my BEng degree from the Computer Science Department at Tsinghua University and MMath from the University of Waterloo. I have a broad interest in both the theoretical and applied side of machine learning. In particular, I work on representation learning, probabilistic circuits, transfer/multitask learning, and their applications in natural language, signal processing and quantitative finance.

I am currently a machine learning researcher at D. E. Shaw & Co. I am also an adjunct assistant professor at the Department of Computer Science, the University of Illinois at Urbana-Champaign. I am actively looking for self-motivated students starting Fall 2021. If you are interested in working with me, please feel free to send me an email with your CV.

Publications [ show selected / show by date ]

Pre-prints

Fundamental Limits and Tradeoffs in Invariant Representation Learning
H. Zhao*, C. Dan*, B. Aragam, T. Jaakkola, G. Gordon, and P. Ravikumar
arXiv preprint
[abs] [pdf]
Graph Adversarial Networks: Protecting Information against Adversarial Attacks
P. Liao*, H. Zhao*, K. Xu*, T. Jaakkola, G. Gordon, S. Jegelka and R. Salakhutdinov
arXiv preprint
[abs] [pdf] [code]
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
B. Li*, Y. Wang*, S. Zhang*, D. Li, T. Darrell, K. Keutzer and H. Zhao
arXiv preprint
[abs] [pdf]

Misc

I enjoy sketching and calligraphy at my spare time. If I have a long vacation, I also enjoy traveling.