Hi! I'm a fifth-year PhD student in the Computer Science department at Drexel University and a member of Drexel EconCS research group. My advisor is Vasilis Gkatzelis. I am interested in the intersection of Economics and Computer Science, particularly in algorithmic game theory, mechanism design and fair division. I was a Research Intern at Google Research during summer 2023. Currently, I am a student researcher at Google Research hosted by Mingfei Zhao.

I received my bachelor's degree from Drexel University, majoring in Mathematics. During my undergraduate years, I have worked as assistant product manager in Comcast and Digital Quality Operations Analyst in JPMorgan Chase & Co.

email: xizhi AT drexel DOT edu

Journal Publications

Deterministic Budget-Feasible Clock Auctions
Eric Balkanski, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin, Xizhi Tan
Major Revision at Operations Research
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.

Clock Auctions Augmented with Unreliable Advice
Vasilis Gkatzelis, Daniel Schoepflin, Xizhi Tan
[SODA 2025] [Arxiv]
Online Mechanism Design with Predictions
Eric Balkanski, Vasilis Gkatzelis, Xizhi Tan, Cherlin Zhu
[EC 2024] [Arxiv]
Exemplary Track Paper Award for the Theory Track
Learning-Augmented Metric Distortion via (p,q)-Veto Core
Ben Berger, Michal Feldman, Vasilis Gkatzelis, Xizhi Tan
[EC 2024] [Arxiv]
Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division
Vasilis Gkatzelis, Alexandros Psomas, Xizhi Tan, Paritosh Verma
[IJCAI 2024] [Arxiv]
Extracting Small Subgraphs in Road Networks
Sara Ahmadian, Sreenivas Gollapudi, Greg Hutchins, Kostas Kollias, Xizhi Tan
[WWW 2024]
EFx Budget-Feasible Allocations with High Nash Welfare
Marius Garbea, Vasilis Gkatzelis, Xizhi Tan
[ECAI 2023] [Arxiv]
Strategyproof Scheduling with Predictions
Eric Balkanski, Vasilis Gkatzelis, Xizhi Tan
[ITCS 2023] [Arxiv] [Presentation (25 mins)]
Learning-Augmented Mechanism Design: Leveraging Predictions for Facility Location
Priyank Agrawal, Eric Balkanski, Vasilis Gkatzelis, Tingting Ou, Xizhi Tan
[EC 2022] [Arxiv] [Presentation (20 mins)]
Improved Price of Anarchy via Predictions
Vasilis Gkatzelis, Kostas Kollias, Alkmini Sgouritsa, Xizhi Tan
[EC 2022] [Arxiv] [Presentation (20 mins)]
Deterministic Budget-Feasible Clock Auctions
Eric Balkanski, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin, Xizhi Tan
[SODA 2022] [Arxiv]
Fair and Efficient Online Allocations with Normalized Valuations
Vasilis Gkatzelis, Alexandros Psomas, Xizhi Tan
[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