Chong Liu @ University of Chicago
[Publications] [Impacts] [Teaching] [Blogs] [Explorations]
Biography
I'm a DSI Postdoctoral Scholar at the University of Chicago hosted by Prof.
Yuxin Chen and Prof.
Rebecca Willett. Starting Fall 2024, I'll join the University at Albany, State University of New York as an Assistant Professor of Computer Science. I received my Ph.D. in Computer Science from UC Santa Barbara, advised by Prof.
Yu-Xiang Wang. I'm an editorial board reviewer of JMLR and a program committee member of ICML, NeurIPS, ICLR, AISTATS, ISMB, AAAI, KDD, SDM conferences and ICML workshop proposals. I'm also the lead organizer of the NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development (
AI4D3-2023).
Research Interests
- Machine Learning: Bayesian optimization, bandits, active learning.
- AI for Science: experimental design, materials science, and drug discovery.
News
- Mar. 2024: Invited to review for TMLR.
- Jan. 2024: Happy new year! Paper "Communication-Efficient Federated Non-Linear Bandit Optimization" is accepted by ICLR-2024! In this paper, we systematically study the federated non-linear bandit optimization problem and proves both cumulative regret and communication cost bounds. Congrats to Chuanhao and Yu-Xiang! Happy to meet you in Vienna!
- Dec. 2023: I'm attending NeurIPS-2023 and organizing the workshop on New Frontiers of AI for Drug Discovery and Development (AI4D3-2023). Happy to meet you in New Orleans!
- Nov. 2023: I'm attending the NITMB Kickoff Workshop. Happy to meet you in Chicago!
Contact
Chong Liu
Data Science Institute
John Crerar Library Building
5730 South Ellis Avenue, Suite 150
Chicago IL 60637