Welcome to my homepage! I am a postdoctoral research associate at the Machine Learning Department (MLD) of Carnegie Mellon University (CMU). I am fortunately working with Prof. Aarti Singh and Prof. Bryan Wilder.

   I got my PhD in Computer Science at UC Santa Barbara in 2024, where I was fortunately advised by Prof. Yu-Xiang Wang. Before that, I got my B.S. from Tsinghua University in 2019, fortunately advised by Prof. Guoqi Li.

    My research interest lies broadly in on-line machine learning and learning theory problems. Currently I am developing online decision-making strategies in constrained generative scenarios. During my PhD (and ongoing), I have been doing a series of work on dynamic pricing. Besides, I also worked on graph theory and combinatorics out of personal interests.

News and Events

Apr 2025.         Glad to serve as reviewers for Journal of Machine Learning Research (JMLR) and Mathematics of Operations Research (Math-OR) !

Feb 2025.         Our manuscript “Dynamic Pricing with Adversarially-Censored Demands” is posted on ArXiv. Thanks to my collaborators Yining, Xi and Yu-Xiang!

Jan 2025.         Our manuscript “Joint Pricing and Resource Allocation: An Optimal Online-Learning Approach” is posted on ArXiv. Thanks to my collaborators Xuan, Yu-Xiang and Jiashuo!

Jan 2025.         Glad to serve as a reviewer for Journal of the American Statistical Association (JASA) !

Dec 2024.         Glad to serve as an Area Chair in ICML 2025!

Oct 2024.         I’m giving a talk on adversarial dynamic pricing at INFORMS 2024 Annual Meeting. See you at Seattle!

Sep 2024.         Very excited to join CMU MLD as a postdoc!

Aug 2024.         Successfully defended my PhD degree :-D

May 2024.         Our paper “Pricing with Contextual Elasticity and Heteroscedastic Valuation” got accepted by ICML 2024 and selected as spotlight presentation (top 3%)! The preprint version is posted here on ArXiv.