Zixian Yang

I am a postdoc research fellow at the University of Michigan, Ann Arbor.

I am a postdoctoral research fellow in the Electrical Engineering and Computer Science Department at the University of Michigan, Ann Arbor, advised by Prof. Lei Ying. Previously, I completed my Ph.D. in the same department, also advised by Prof. Ying. I received my master's and bachelor's degrees from Sun Yat-sen University, Guangzhou, China.

My research interests lie in joint online learning and decision making problems, which include recommendation, queueing, scheduling, matching, and pricing in unknown environments.

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News

[Sep-2025] Our paper Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets has been accepted to NeurIPS 2025.

[Oct-2025] I will attend INFORMS Annual Meeting 2025 in Atlanta and present our work on Online Learning for Two-Sided Markets in the Job Market Showcase cluster. Session: Learning, Ranking, and Selection. Oct 26 (Sunday), 2:45-4:00 pm, Building A Level 3 A315.

Selected Publications

[1] Zixian Yang, R. Srikant, and Lei Ying, “Learning While Scheduling in Multi-Server Systems with Unknown Statistics: MaxWeight with Discounted UCB,” in Proc. 26th International Conference on Artificial Intelligence and Statistics (acceptance rate 29%), PMLR 206:4275-4312, 2023. link of the paper

[2] Zixian Yang, Xin Liu, and Lei Ying. "Exploration. Exploitation, and Engagement in Multi-Armed Bandits with Abandonment." Journal of Machine Learning Research, 2024. link of the paper

[3] Honghao Wei, Zixian Yang, Xin Liu, Zhiwei Qin, Xiaocheng Tang, and Lei Ying. "A Reinforcement Learning and Prediction-Based Lookahead Policy for Vehicle Repositioning in Online Ride-Hailing Systems." IEEE Transactions on Intelligent Transportation Systems, 2023. link of the paper

[4] Xin Liu, Zixian Yang, and Lei Ying, “Online Nonstochastic Control with Adversarial and Static Constraints,” in Proc. 40th International Conference on Machine Learning (acceptance rate 28%), PMLR 202:22277-22288, 2023. link of the paper

Preprints

[1] Zixian Yang and Lei Ying, “Learning-Based Pricing and Matching for Two-Sided Queues,” 2024, available at https://arxiv.org/abs/2403.11093v2

[2] Zixian Yang, R. Srikant, and Lei Ying, “Learning While Scheduling in Multi-Server Systems with Unknown Statistics: MaxWeight with Discounted UCB,” 2023, available at https://arxiv.org/abs/2209.01126v3

Book

Zixian Yang and Lei Ying, Introduction to Reinforcement Learning. The book is available here. The code is available here.

It is an introductory book on reinforcement learning, featuring examples and code demonstrations.

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