Zeyu Shen
Ph.D., Computer Science Department, Princeton University
I'm a Ph.D. in Computer Science at Princeton University, where I'm fortunate to be advised by Dr. Aleksandra Korolova. I conduct research at the intersection of Computer Science, Social Science and Machine Learning, including AI for social good, laws and policies for AI, algorithmic fairness, differential privacy, etc. I had my undergrad at Duke University, where I had the honor to work with Dr. Kamesh Munagala.
My CV is available here.
Publications and Manuscripts
Fairness in the Assignment Problem with Uncertain Priorities. With Brandon Fain, Kamesh Munagala, Zhiyi Wang, and Xingyu Zhu. AAMAS '23
Optimal Algorithms for Multiwinner Elections and Chamberlin-Courant Rule. With Kamesh Munagala and Kangning Wang. EC '21
Robust Allocations with Diversity Constraints. With Lodewijk Gelauff, Ashish Goel, Aleksandra Korolova, and Kamesh Munagala, NeurIPS '21
Classification with Particially Private Features. With Anilesh Krishnaswamy, Janardhan Kulkarni, and Kamesh Munagala. Manuscript
Improved Bound for Mixing Time of Parallel Tempering. With Holden Lee. Manuscript
Contact Information
Email: zs7353@princeton.edu
Phone: (984) 317-8669