Data Science Institute Postdoctoral Scholar University of Chicago Assistant Professor of Computer Science (starting Fall 2024) University at Albany, State University of New York Ph.D. in Computer Science, UC Santa Barbara, 2023 IEEE-TNNLS Associate Editor / JMLR Editorial Board Reviewer / Private Pilot chongliu.cs AT gmail.com (Preferred) chongl AT uchicago.edu (UChicago-related) cliu24 AT albany.edu (UAlbany-related) 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 IEEE-TNNLS associate editor, JMLR editorial board reviewer, 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, bandit algorithms, active learning.

• AI for Science: experimental design, drug discovery, and materials science.

News

• Jun. 2024: Wrote a blog on our WACV-2023 paper at Data Science Institute. Read it here.

• May 2024: Invited to give a lighitning talk about our recent ICLR-2024 paper "Communication-Efficient Federated Non-Linear Bandit Optimization" at the Midwest Machine Learning Symposium (MMLS-2024)! Happy to meet you in Minneapolis!

• Apr. 2024: I'm co-organizing the "Generative AI for Decision Making" session with Prof. Shixiang (Woody) Zhu at INFROMS-2024! Also, I'll give an invited talk at the "Bayesian optimization" session. Happy to meet you in Seattle!

• Apr. 2024: Honored to be appointed as an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS).

• 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!

• 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 INFORMS-2023. 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