Han Zhao | 赵晗


Assistant Professor
Department of Computer Science
Department of Electrical and Computer Engineering (affiliated)
University of Illinois at Urbana-Champaign
Email: hanzhao [AT] illinois (DOT) edu
Office: 3320 Siebel Center, 201 N Goodwin Ave Urbana, IL, 61801
[Curriculum Vitae] [Google Scholar] [DBLP] [Thesis] [Github]

About Me

I am an assistant professor at the Department of Computer Science, University of Illinois Urbana-Champaign, affiliated with the Department of Electrical and Computer Engineering. I am also an Amazon Visiting Academic at Amazon AI and Search Science. Before joining UIUC, I was a machine learning researcher at D. E. Shaw & Co. I obtained my Ph.D. from the Machine Learning Department, Carnegie Mellon University. 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 trustworthy machine learning. In particular, I work on 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. My long-term goal is to build trustworthy ML systems that are efficient, robust, fair, and interpretable.

Prospective students, please read this.

Publications [ show selected / show by date ]

Pre-prints

Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms
H. Wang, G. Balasubramaniam, H. Si, B. Li, H. Zhao
arXiv preprint
[abs] [pdf]
Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization
M. Liu, X. Zhang, C. Xie, K. Donahue, H. Zhao
arXiv preprint
[abs] [pdf] [slides]

People

Current (by alphabetical order)

Weixin Chen (PhD in CS)
Yuen Chen (PhD in CS, co-advised with Hari Sundaram)
Yifei He (PhD in CS)
Yuzheng Hu (PhD in CS)
Seiyun Shin (PhD in ECE, co-advised with Ilan Shomorony, Mavis Future Faculty Fellows)
Haozhe Si (PhD in ECE)
Ruicheng Xian (PhD in CS)
Siqi (Cindy) Zeng (PhD in CS)
Ashutosh Sharma (MSCS, Siebel Scholar)
Meitong Liu (HKU CS undergrad)
Samuel Schapiro (UIUC CS undergrad)
Yuxuan Wan (UIUC Math undergrad)

Alumni

Haoxiang Wang (PhD in ECE, co-advised with Bo Li, Mavis Future Faculty Fellows -> Research Scientist, Nvidia)
Aditya Sinha (MSCS @ UIUC -> Research Scientist, Netflix)
Qilong Wu (MSCS @ UIUC -> PhD in CS @ UIUC)
Gargi Balasubramaniam (MSCS @ UIUC, Siebel Scholar -> Research Engineer, Google DeepMind)
Yifei He (MSCS @ UIUC -> PhD in CS @ UIUC)
Siqi (Cindy) Zeng (undergrad @ CMU Math -> PhD in CS @ UIUC)
Haozhe Si (undergrad in ECE @ UIUC -> PhD in ECE @ UIUC)
Sixian Du (undergrad in CS @ PKU -> Stanford MSEE)
Peiyuan (Alex) Liao (undergrad in CS @ CMU -> CTO of Rabbit Inc.)
(Brian) Bo Li (undergrad in CS @ Harbin Institute of Technology -> PhD in CS @ Nanyang Technological University)

Teaching

Term Course Location Time
Spring 2024 CS 446 - Machine Learning 1320 Digital Computer Laboratory TR 12:30PM - 1:45PM
Fall 2023 CS 442 - Trustworthy Machine Learning 1310 Digital Computer Laboratory WF 12:30PM - 1:45PM
Spring 2023 CS 598: Transfer Learning Siebel Center 0216 WF 12:30PM - 1:45PM
Fall 2022 CS 498 ML - Trustworthy Machine Learning 4025 Campus Instructional Facility TR 2PM - 3:15PM
Spring 2022 CS 442 - Trustworthy Machine Learning Siebel Center 1109 WF 3:30PM - 4:45PM
Fall 2021 CS 598 - Special Topics: Transfer Learning Siebel Center 0216 WF 2PM - 3:15PM

Misc

I enjoy sketching and calligraphy at my spare time. If I have a long vacation, I also enjoy traveling. My math genealogy can be found here.