Shuran Zheng 郑舒冉

Assistant Professor in IIIS at Tsinghua University

shuran0zheng[at]gmail.com

I am a tenure-track Assistant Professor in the Institute for Interdisciplinary Information Sciences at Tsinghua University. Before coming to Tsinghua, I obtained my Ph.D. in Computer Science at Harvard University, where I was advised by Yiling Chen in EconCS group. I spent the year of 2023 as a postdoctoral researcher at CMU working with Steven Wu. During the fall of 2022, I was a Student Researcher in the Market Algorithms Group at Google Research NYC, where I closely worked with Renato Paes Leme, Jon Schneider, and Balasubramanian Sivan

Broadly speaking, my research is situated at the intersection of Economics and Computer Science, a field that is also known as Economics and Computation. In particular, I am interested in understanding the value of information and designing economic mechanisms when information and uncertainty are involved. My research uses concepts and tools from Economics (especially Mechanism Design), Machine Learning, and Algorithm Design. Here are some research topics that I am actively working on:

More details coming soon!

News: 

Publications

To be updated. Last update Nov. 2022.


Private Interdependent Valuations

Alon Eden, Kira Goldner, and Shuran Zheng.

In Proc. of ACM-SIAM Symposium on Discrete Algorithms (SODA 2022).


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] [slides at Columbia Theory Siminar] 


Optimal Advertising for Information Products 

Shuran Zheng and Yiling Chen.

In Proc. of the 22nd ACM Conference on Economics and Computation (EC 2021). [arxiv] [slides] [talk]

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] [slides] [poster]


Selling Information Through Consulting 

Yiling Chen, Haifeng Xu, and Shuran Zheng. 

In Proc. of ACM-SIAM Symposium on Discrete Algorithms (SODA 2020). [arxiv] [slides]

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] [slides]


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] [poster]


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 and Advising

To be updated.