Yichi Zhang

I am a Ph.D. candidate at School of Information, University of Michigan, Ann Arbor, where I'm advised by Grant Schoenebeck. Prior to Umich, I received my Bachelor’s degree at Shanghai Jiao Tong University, where I worked with Luoyi Fu and Xinbing Wang.

yichiz [AT] umich.edu  /  CV

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Research Interests

My interests lie in the interface between computer science and economics. I study how the designer of multi-agent systems (such as data-annotation platforms, academic conferences, and recommender systems) can do better by taking care of the strategic behaviors of agents. In particular, I design better mechanisms to elicit and evaluate high-quality information and how the information can benefit the system. More specifically, my research interests include information elicitation and aggregation, crowdsourcing, recommender systems, peer grading, peer reviewing, and their interactions with generative AI.

Publications
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.
Oral Acceptance!
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.