郑舒冉
助理教授
计算经济学，人工智能，数据估值
Assistant Professor
I am a tenure-track Assistant Professor in the Institute for Interdisciplinary Information Sciences at Tsinghua University. I obtained my Ph.D. in Computer Science from Harvard University, and was a postdoctoral researcher at Carnegie Mellon University, a Student Researcher in the Market Algorithms Group at Google Research NYC.
My research lies at the intersection of Computer Science and Economics, and I am particularly interested in understanding the value of data and information. I explore various areas including data valuation, data markets, information elicitation, information aggregation, and information design
News
I am looking for self-motivated PhD students at Tsinghua University. If you are an undergraduate student at THU interested in the data aspect of AI, feel free to reach out as well!
Research
Data Valuation for Machine Learning
Data is the fuel of Artificial Intelligence. Due to the high demand of high-quality data, recent years have witnessed a growing data marketplace where all kinds of platforms provide data services. A central question in this data marketplace is how to evaluate the data provided by an agent.
Information Elicitation and Aggregation
Human-generated data is playing an important rule in AI and e-commerce. Information elicitation aims to gather truthful information from self-interested agents and information aggregation refers to the problem of aggregating human-generated information into a more accurate prediction.
Information Design, Bayesian Persuasion
Living in the Information Age, the information they access heavily influences human behaviors and decisions. Bayesian persuasion studies the design of information disclosure mechanisms aiming to incentivize desired agent behavior.
Publications and Working Papers
Proper Dataset Valuation by Pointwise Mutual Information
Shuran Zheng*, Xuan Qi*, Rui Ray Chen*, Yongchan Kwon, James Zou
Working paper. [arxiv]
Previous version "Truthful Dataset Valuation by Pointwise Mutual Information" presented at ICML 2024 DMLR workshop.
Bayesian Conversations
Renato Paes Leme, Jon Schneider, Heyang Shang, Shuran Zheng
Working paper. [arxiv]
Inferentially-Private Private Information
Shuaiqi Wang*, Shuran Zheng*, Zinan Lin, Giulia Fanti, Steven Wu
WWW 2025.
Differentially Private Bayesian Persuasion
Yuqi Pan, Steven Wu, Haifeng Xu, Shuran Zheng
WWW 2025. [arxiv]
Ex-post Individually Rational Bayesian Persuasion
Jiahao Zhang, Shuran Zheng, Renato Paes Leme, Steven Wu
WINE 2024. [arxiv]
Private Interdependent Valuations
Alon Eden, Kira Goldner, and Shuran Zheng.
In Proc. of ACM-SIAM Symposium on Discrete Algorithms (SODA 2022). [arxiv]
The Limits of Multi-task Peer Prediction
Shuran Zheng, Fang-Yi Yu, and Yiling Chen.
In Proc. of the 22nd ACM Conference on Economics and Computation (EC 2021). [arxiv]
Optimal Advertising for Information Products
Shuran Zheng and Yiling Chen.
In Proc. of the 22nd ACM Conference on Economics and Computation (EC 2021). [arxiv]
Invited to the 2021 INFORMS Annual Meeting.
Truthful Data Acquisition via Peer Prediction
Yiling Chen, Yiheng Shen, and Shuran Zheng.
In Proc. of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020). [arxiv]
Selling Information Through Consulting
Yiling Chen, Haifeng Xu, and Shuran Zheng.
In Proc. of ACM-SIAM Symposium on Discrete Algorithms (SODA 2020). [arxiv]
Presented in ACM/INFORMS Workshop on Market Design 2019.
Prior-free Data Acquisition for Accurate Statistical Estimation
Yiling Chen and Shuran Zheng.
In Proc. of the 20th ACM Conference on Economics and Computation (EC 2019). [arxiv]
Active Information Acquisition for Linear Optimization
Shuran Zheng, Bo Waggoner, Yang Liu, and Yiling Chen.
In Proc. of the Conference on Uncertainty in Artificial Intelligence (UAI 2018). [arxiv]
Complexity and Algorithms of K-implementation
Yuan Deng, Pingzhong Tang, and Shuran Zheng.
In Proc. of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016). [paper]
Teaching
Spring 2025, Mathematics for Computer Science and Artificial Intelligence
Advising
I am fortunate to have worked with many amazing students.
PhD & Master
I am hiring PhD students!
Yuxin Chen (incoming 2025 Fall)
Rui Ray Chen (incoming 2025 Fall)
Undergraduates
Yiheng Shen: Undergrad at THU, visiting student at Harvard, PhD at Duke University
Jiayuan Liu: Undergrad at THU, visiting student at Harvard, PhD at Carnegie Mellon University
Yuqi Pan: Undergrad at PKU, visiting student at CMU, PhD at Harvard University
Jiahao Zhang: Undergrad at PKU, visiting student at CMU, PhD at Carnegie Mellon University
