Ph.D. student
UC Berkeley
xinyanhu [at] Berkeley [dot] edu
Xinyan Hu
Hi! I am a 2nd year PhD student in CS at UC Berkeley. I am advised by Michael I. Jordan and a member of the Berkeley AI Research (BAIR) Lab. I have broad interests in the intersection of machine learning and economics, especially in machine learning theory, algorithmic game theory and mechanism design.
Before coming to Berkeley, I received my B.S. in CS at Peking University, where I was fortunately advised by Xiaotie Deng. I was also pleased to have worked with Zhiwei Steven Wu (CMU) and Aleksandrs Slivkins (MSR).
Papers
- Preprints
Incentivizing High-Quality Content in Online Recommender Systems
Xinyan Hu*, Meena Jagadeesan*, Michael I. Jordan, Jacob Steinhardt
Manuscript under submission
[arxiv]
- Publications
Incentivizing Combinatorial Bandit Exploration
Xinyan Hu, Dung Daniel Ngo, Aleksandrs Slivkins, Zhiwei Steven Wu (in alphabetical order)
NeurIPS 2022
[arxiv]
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions
Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng (in alphabetical order)
The Web Conference (WWW) 2022
[arxiv][2-min video]
Teaching
Teaching Assistant, CS 33400 Discrete Mathematics and Structures (Honor track), PKU, 2020 Fall
Selected Awards
Leo KoGuan scholarship, 2021
Yang Fuqing & Wang Yangyuan Academician Scholarship, 2020
Merit Student, 2020, 2021
Chinese Girls' Mathematical Olympiad (CGMO), Gold Medal, 2017
Miscellaneous
I love being outdoors, hiking and biking to explore Nature, and traveling to different places to experience different food and cultures! In my spare time, I also like listening to music, watching movies, running and playing sports. (I'm a big fan of tennis!)