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 societal decision making.

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

    My research interest lies broadly in statistical machine learning and online learning 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

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!

Oct 2023.         I’m giving a talk on pricing fairness at INFORMS 2023 Annual Meeting. See you at Phoenix!

Oct 2023.         Our delayed research results on the NP-hardness of tensor network contraction ordering have been posted on Arxiv ultimately. Thanks Hanwen and all co-authors!

Oct 2023.         One co-authored paper got accepted to EMNLP. Thanks Wenhu, Ming and other co-authors!

Mar 2023.         Glad to give a talk at LAMDA, Nanjing University!

Jan 2023.         Our paper Doubly fair dynamic pricing got accepted to AISTATS 2023!

Jan 2023.         Glad to serve as a reviewer of Management Science for the first time!