Zun Li

Email: lizun [at] umich [dot] edu

I am a fourth-year Ph.D. in Computer Science of Strategic Reasoning Group at University of Michigan. My advisor is Prof. Michael P. Wellman.

I completed my bachlor degree at Shanghai Jiao Tong University, majoring in Computer Science. I was a research assistant at Advanced Network Lab, advised by Prof. Fan Wu and Dr. Zhenzhe Zheng.

In summer 2022, I will join DeepMind Alberta as a research scientist intern, mentored by Dr. Marc Lanctot, working on general-sum game tree search and deep multi-agent reinforcement learning.

CV  

Education

University of Michigan, U.S., from Sep. 2018 to Now
Ph.D. Student in Computer Science and Engineering

Shanghai Jiao Tong University, China, from Sep. 2014 to Jun. 2018
B.S.E. in Computer Science (IEEE Honored Class)

Research

My interests lie on the interfaces between AI, economics, and complex systems. My present work focuses on reinterpreting/reconstructing classical economic theories via AI and computation.

I devote to building intelligent software agents in games and real-world market systems by assembling universal game-/decision-theoretical principles distributed across different domains.

Publications

Conference Publications

[5] "Solving Structured Hierarchical Games Using Differential Backward Induction"
Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik
To appear in Thirty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI),2022.
36/712≈5.06% accepted for oral presentation
Also presented at First ICLR Workshop on Gamification and Multiagent Solutions (ICLR-GMAS), 2022.

[4] "Evolution Strategies for Approximate Solution of Bayesian Games"[PDF][TALK][SLIDES][POSTER]
Zun Li, Michael P. Wellman
In Proceedings of Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021.
1692/7911≈21.38% accepted for pre-recorded video talk
Also presented at Third Games, Agents, and Incentives Workshop (GAIW@AAMAS), 2021.

[3] "Structure Learning for Approximate Solution of Many-Player Games" [PDF][SLIDES][POSTER]
Zun Li, Michael P. Wellman
In Proceedings of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
453/7731≈5.85% accepted for oral presentation

[2] "Bounding Regret in Empirical Games" [PDF]
Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh
In Proceedings of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
1137/7731≈14.7% accepted for spotlight presentation

[1] "On Designing Optimal Data Purchasing Strategies for Online Ad Auctions" [PDF]
Zun Li, Zhenzhe Zheng, Fan Wu, Guihai Chen
In Proceedings of Seventeenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018.
151/591≈25.55% accepted for oral presentation

Journal Publications

[1] "Capitalize Your Data: Optimal Selling Mechanisms for IoT Data Exchange"[PDF]
Qinya Li, Zun Li, Zhenzhe Zheng, Fan Wu , Shaojie Tang, Zhao Zhang, Guihai Chen
IEEE Transactions on Mobile Computing, 2021

Working Experience

DeepMind Alberta, Research Scientist Intern, Edmonton, Jun. 2022-Oct. 2022
Google Inc., Software Engineering Intern, Core Google Display Ad Team, Remote, Jun. 2021-Aug. 2021

Teaching Experience

Graduate Student Instructor, EECS 592 AI Foundations, UMich, Fall'21

Honor & Awards

Travel Scholarship, AAAI-2020, AAMAS-2018

Professional Services

Program Committee, AAAI-2022, AAMAS-GAIW-2021
Reviewer, AAAI-2021


This guy designed this neat webpage.