Data Science Institute Postdoctoral Scholar University of Chicago Assistant Professor (starting Fall 2024) Department of Computer Science University at Albany, State University of New York Ph.D. in Computer Science, UC Santa Barbara, 2023 Editorial Board Reviewer, Journal of Machine Learning Research (JMLR) FAA-Certified Private Pilot, Airplane Single Engine Land Rating (PP-ASEL) chongliu.cs AT gmail.com (preferred) chongl AT uchicago.edu (work) Looking for self-motivated students and postdocs.

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Biography

I'm a Data Science Institute 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 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, quantum computing, drug discovery, and materials science.

News

• Mar. 2024: Invited to review for TMLR.

• Feb. 2024: Invited to speak at the 2024 Information Theory and Applications Workshop (Thu Feb 22). Happy to meet you in San Diego!

• Jan. 2024: Invited to review for DMLR, ICML-2024 Workshop Proposals, ISMB-2024 and ICML-2024.

• 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: Invited to speak at UAlbany CS (Mon Nov 13), RPI ECSE (Tue Nov 14), UAlbany Math (Tue Nov 14), UCSB Stats (Mon Nov 27), and TTIC (Wed Nov 29). Happy to meet you in Albany, Troy, Santa Barbara, and Chicago!

• Nov. 2023: I'm attending the NITMB Kickoff Workshop. Happy to meet you in Chicago!

• Oct. 2023: I'm attending the 2023 INFORMS Annual Meeting. Happy to meet you in Phoenix!

• Sep. 2023: I'm attending the NSF-Simons Mathematical and Scientific Foundations of Deep Learning Annual Meeting 2023. Happy to meet you in New York City!

• Sep. 2023: I'm attending the IDEAL Fall 2023 Kick-off. Happy to meet you in Chicago!

• Sep. 2023: I'm attending the TTIC Summer Workshop on New Frontiers in Federated Learning! Happy to meet you in Chicago!

• Sep. 2023: Invited to review for AAAI-2024, AISTATS-2024, ICLR-2024, and SDM-2024.

Contact

Chong Liu
Data Science Institute
John Crerar Library Building
5730 South Ellis Avenue, Suite 150
Chicago IL 60637