About Me
Welcome to my homepage! I am a postdoc 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 decision-making problems. My most recent projects are on public health and dynamic pricing. Besides, I also worked on graph theory and computational complexity during my undergraduate.
News and Events
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. Glad to give a talk at INFORMS 2023 Annual Meeting! I present our research and results on pricing fairness. See you at WA14 session on Wednesday (Oct 18) morning!
Oct 2023. Our delayed research results on the NP-hardness of tensor network contraction ordering have been posted on Arxiv ultimately. It was the most exciting work during my undergrad. 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. Very glad to give a talk at LAMDA, Nanjing University!
Jan 2023. Our paper Doubly fair dynamic pricing got accepted to AISTATS 2023!
Jan 2023. Happy to serve as a reviewer of Management Science for the first time!
Dec 2022. Very glad to serve as a session chair on NeurIPS 2022!! I will lead discussion on two oral papers on bandits and decision-making.
Nov 2022. One paper got accepted by TMLR. Thanks Dheeraj and Yu-Xiang!
Oct 2022. Glad to receive an Outstanding Reviewer Award at NeurIPS 2022!
Oct 2022. Give a talk at INFORMS 2022. An exciting experience to contact with OR/MS/Econ people!
Sep 2022. Complete my internship as an applied scientist at Amazon Retail Pricing!