About Me
Welcome to my homepage! I am currently a fifth-year PhD candidate in Computer Science at University of California, Santa Barbara, where I am fortunately being advised by Prof. Yu-Xiang Wang. Before that, I got my B.S. (in Measurement & Control) from Tsinghua University in 2019, where I am advised by Prof. Guoqi Li.
My research interest lies broadly in statistical machine learning and online decision-making, with emphasis in dynamic pricing problems. Besides, I also worked on graph theory and computational complexity during my undergraduate.
I am currently on the academic job market of Computer Science, Operations Management, and Data Science. Please find my latest CV here.
News and Events
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!