Publications

Conference Publications

1. The Price of Competitive Information Disclosure
   Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang.
   ACM Symposium on Theory of Computing (STOC), 2026.
2. Fair Multi-agent Persuasion with Submodular Constraints
   Yannan Bai, Kamesh Munagala, Yiheng Shen, Davidson Zhu.
   Symposium on Foundations of Responsible Computing (FORC), 2026.
3. The Limits of Interval-Regulated Price Discrimination
   Kamesh Munagala, Yiheng Shen, Renzhe Xu.
   International Conference on Web and Internet Economics (WINE), 2025. Best Paper Award.
4. Fair Division via the Cake-Cutting Share
   Yannan Bai, Kamesh Munagala, Yiheng Shen, Ian Zhang.
   Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. Oral Presentation.
5. Majorized Bayesian Persuasion and Fair Selection
   Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang.
   ACM-SIAM Symposium on Discrete Algorithms (SODA), 2025.
6. First Passage Percolation with Queried Hints
   Kritkorn Karntikoon, Yiheng Shen, Sreenivas Gollapudi, Kostas Kollias, Aaron Schild, Ali Sinop.
   International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.
7. Fair Price Discrimination
   Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang.
   ACM-SIAM Symposium on Discrete Algorithms (SODA), 2024.
8. Fair Multiwinner Elections with Allocation Constraints
   Ivan-Aleksandar Mavrov, Kamesh Munagala, Yiheng Shen.
   ACM Conference on Economics and Computation (EC), 2023.
9. Auditing for Core Stability in Participatory Budgeting
   Kamesh Munagala, Yiheng Shen, Kangning Wang.
   International Conference on Web and Internet Economics (WINE), 2022.
10. Approximate Core for Committee Selection via Multilinear Extension and Market Clearing
    Kamesh Munagala, Yiheng Shen, Kangning Wang, Zhiyi Wang.
    ACM-SIAM Symposium on Discrete Algorithms (SODA), 2022.
11. Targeting Makes Sample Efficiency in Auction Design
    Yihang Hu, Zhiyi Huang, Yiheng Shen, Xiangning Wang.
    ACM Conference on Economics and Computation (EC), 2021.
12. Truthful Data Acquisition via Peer Prediction
    Yiling Chen, Yiheng Shen, Shuran Zheng.
    Annual Conference on Neural Information Processing Systems (NeurIPS), 2020.

Journal Publication

1. A Mechanism Design Approach for Multi-party Machine Learning
   Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang.
   Theoretical Computer Science, 2024.