Hi! I am a Motwani Postdoctoral Fellow at Stanford University, hosted by Aviad Rubinstein, Amin Saberi, and Ellen Vitercik. I am also affiliated with Stanford HAI. My research interests lie at the intersection of Economics and Computer Science, with a focus on algorithmic game theory, mechanism design, and fair division. I completed my PhD in Computer Science at Drexel University, where I was a member of the Drexel EconCS research group and was very very fortunate to be advised by Vasilis Gkatzelis.
I was a Student Researcher at Google Research in the summer and fall of 2024, hosted by Mingfei Zhao. In the summer of 2023, I was a Research Intern at Google Research hosted by Sara Ahmadian and Kostas Kollias. I received my bachelor's degree in Mathematics from Drexel University. During my undergraduate studies, I worked as an assistant product manager at Comcast and as a Digital Quality Operations Analyst at JPMorgan Chase & Co.
email: xizhi AT stanford DOT edu
Journal Publications
- Deterministic Budget-Feasible Clock Auctions
- Eric Balkanski, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin, Xizhi Tan
- Operations Research (forthcoming)
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- Learning-Augmented Mechanism Design: Leveraging Predictions for Facility Location
- Priyank Agrawal, Eric Balkanski, Vasilis Gkatzelis, Tingting Ou, Xizhi Tan
- Mathematics of Operations Research
Conference Publications
Authors are listed in alphabetical order.
- Multi-Platform Autobidding with and without Predictions
- Gagan Aggarwal, Anupam Gupta, Xizhi Tan, Mingfei Zhao
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[WWW 2025]
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- Clock Auctions Augmented with Unreliable Advice
- Vasilis Gkatzelis, Daniel Schoepflin, Xizhi Tan
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[SODA 2025]
[Arxiv]
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- Online Mechanism Design with Predictions
- Eric Balkanski, Vasilis Gkatzelis, Xizhi Tan, Cherlin Zhu
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[EC 2024]
[Arxiv]
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Exemplary Track Paper Award for the Theory Track
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- Learning-Augmented Metric Distortion via (p,q)-Veto Core
- Ben Berger, Michal Feldman, Vasilis Gkatzelis, Xizhi Tan
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[EC 2024]
[Arxiv]
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- Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division
- Vasilis Gkatzelis, Alexandros Psomas, Xizhi Tan, Paritosh Verma
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[IJCAI 2024]
[Arxiv]
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- Extracting Small Subgraphs in Road Networks
- Sara Ahmadian, Sreenivas Gollapudi, Greg Hutchins, Kostas Kollias, Xizhi Tan
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[WWW 2024]
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- EFx Budget-Feasible Allocations with High Nash Welfare
- Marius Garbea, Vasilis Gkatzelis, Xizhi Tan
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[ECAI 2023]
[Arxiv]
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- Strategyproof Scheduling with Predictions
- Eric Balkanski, Vasilis Gkatzelis, Xizhi Tan
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[ITCS 2023]
[Arxiv]
[Presentation (25 mins)]
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- Learning-Augmented Mechanism Design: Leveraging Predictions for Facility Location
- Priyank Agrawal, Eric Balkanski, Vasilis Gkatzelis, Tingting Ou, Xizhi Tan
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[EC 2022]
[Arxiv]
[Presentation (20 mins)]
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- Improved Price of Anarchy via Predictions
- Vasilis Gkatzelis, Kostas Kollias, Alkmini Sgouritsa, Xizhi Tan
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[EC 2022]
[Arxiv]
[Presentation (20 mins)]
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- Deterministic Budget-Feasible Clock Auctions
- Eric Balkanski, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin, Xizhi Tan
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[SODA 2022]
[Arxiv]
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- Fair and Efficient Online Allocations with Normalized Valuations
- Vasilis Gkatzelis, Alexandros Psomas, Xizhi Tan
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[AAAI 2021]
[Arxiv]
[Presentation (18 mins)]
Teaching
- Teaching Assistant for CS 521: Data Structures and Algorithms I (Graduate) (Fall 2022)
- Teaching Assistant for CS 457: Data Structures and Algorithms I (Fall 2020, 2021, 2023)
- Teaching Assistant for CS 380: Artificial Intelligence (Spring 2020)
- Tutor at Drexel Math Resource Center (2018-2020)
Awards
- Werner Krandick Teaching Assistant Award, Drexel University
- Finalist for 2023 Meta Research PhD Fellowship, Meta
- Jay Modi Memorial Award, Drexel University
- PhD Research Excellence, Drexel University
- Student Teaching Excellence (GR), Drexel University
- Robert J Bickel Endowed Scholarship, Drexel University
- William Avery Scholarship, Drexel University