Welcome to my homepage! I am a postdoctoral research associate at Carnegie Mellon University, Machine Learning Department, working with Prof. Aarti Singh and Prof. Bryan Wilder on online decision making.

   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. My most recent projects are on dynamic pricing. Besides, I also worked on graph theory and computational complexity during my undergraduate.

News and Events

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.

Nov 2023.         Glad to receive the Outstanding Reviewer Award again at NeurIPS!