Yichi Zhang

I am a Postdoctoral Research Fellow at the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) at Rutgers University hosted by David Pennock and Lirong Xia. I received my Ph.D. in School of Information from the University of Michigan where I'm advised by Grant Schoenebeck. Prior to Umich, I received my Bachelor’s degree at Shanghai Jiao Tong University.

yichiz [AT] umich.edu / CV

Research Interests

I'm interested in the intersection between computer science and economics, in particular, information elicitation and aggregation, mechanism design, and human-AI collaborations. My research aims to develop practical and application-specific mechanisms that incentivize human agents and human-AI teams to provide high-quality information.

Publications

Eliciting Informative Text Evaluations with Large Language Models
Yuxuan Lu, Shengwei Xu, Yichi Zhang, Yuqing Kong, Grant Schoenebeck
In Proceedings of the 25th ACM Conference on Economics and Computation, EC 2024.

Spot Check Equivalence: an Interpretable Metric for Information Elicitation Mechanisms
Shengwei Xu, Yichi Zhang, Paul Resnick, Grant Schoenebeck
In Proceedings of the 33rd Annual World Wide Web Conference, TheWebConf 2024.

Eliciting Honest Information From Authors Using Sequential Review
Yichi Zhang, Grant Schoenebeck, Weijie Su
In Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence, AAAI 2024.
[talk (12 mins)]

Multi-task Peer Prediction With Task-dependent Strategies
Yichi Zhang, Grant Schoenebeck
In Proceedings of the 32nd Annual World Wide Web Conference, TheWebConf 2023.
[conference version] [talk (3 min)]

High-Effort Crowds: Limited Liability via Tournaments
Yichi Zhang, Grant Schoenebeck
In Proceedings of the 32nd Annual World Wide Web Conference, TheWebConf 2023.
[conference version] [talk (3 min)]

A System-Level Analysis of Conference Peer Review
Yichi Zhang, Fang-Yi Yu, Grant Schoenebeck, David Kempe
In Proceedings of the 23rd ACM Conference on Economics and Computation, EC 2022.
[conference version] [talk (18 mins)]

*Information Elicitation From Rowdy Crowds
Grant Schoenebeck, Fang-Yi Yu, Yichi Zhang (*authors ranked by alphabet)
In Proceedings of the 30th Annual World Wide Web Conference, TheWebConf 2021.
[lightning talk (1 min)]

Teaching

I'm a teaching assistant (GSI) of these courses:

Fall 2021

SIADS 642: Deep Learning with Paramveer Dhillon.

SIADS 652: Network Analysis with Daniel Romero.

Winter 2022

SI 699: Big Data Analysis with Misha Teplitskiy.