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I was previously a Ph.D. student at Duke University. I was very fortunate to be advised by Prof. Kamesh Munagala. My research interests lie in the interface of economics and computation, especially fairness and stability in resource allocation problems. I joined Meta as a Research Scientist after graduation.
I was a student researcher at Google Research, hosted by Aaron Schild in the Summer of 2023, and have worked with many other wonderful people there. Prior to joining Duke, I received my bachelor's degree at Institute for Interdisciplinary Information Sciences (Yao Class), Tsinghua University.
Here is my CV.
Conference Publications
Conference Publications
The Price of Competitive Information Disclosure. Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang. STOC 2026.
Fair Multi-agent Persuasion with Submodular Constraints. Yannan Bai, Kamesh Munagala, Yiheng Shen, Davidson Zhu. FORC 2026.
The Limits of Interval-Regulated Price Discrimination. Kamesh Munagala, Yiheng Shen, Renzhe Xu. WINE 2025 (Best Paper Award).
Fair Division via the Cake-Cutting Share. Yannan Bai, Kamesh Munagala, Yiheng Shen, Ian Zhang. AAAI 2025 (Oral Presentation).
Majorized Bayesian Persuasion and Fair Selection. Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang. SODA 2025.
First Passage Percolation with Queried Hints. Kritkorn Karntikoon, Yiheng Shen, Sreenivas Gollapudi, Kostas Kollias, Aaron Schild, Ali Sinop. AISTATS 2024.
Fair Price Discrimination. Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang. SODA 2024.
Fair Multiwinner Elections with Allocation Constraints. Ivan-Aleksandar Mavrov, Kamesh Munagala, Yiheng Shen. EC 2023.
Auditing for Core Stability in Participatory Budgeting. Kamesh Munagala, Yiheng Shen, Kangning Wang. WINE 2022.
Approximate Core for Committee Selection via Multilinear Extension and Market Clearing. Kamesh Munagala, Yiheng Shen, Kangning Wang, Zhiyi Wang. SODA 2022.
Targeting makes Sample Efficiency in Auction Design. Yihang Hu, Zhiyi Huang, Yiheng Shen, Xiangning Wang. EC 2021.
Truthful Data Acquisition via Peer Prediction. Yiling Chen, Yiheng Shen, Shuran Zheng. NeurIPS 2020.
Journal Publication
Journal Publication
A mechanism design approach for multi-party machine learning. Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang. Theoretical Computer Science (TCS) 2024.
Contact
E-mail: ys341 (at) duke.edu
Office: Room D341, Levine Research Center, 308 Research Drive, Durham NC 27708.
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