Huazheng Wang

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Assistant Professor,
School of Electrical Engineering and Computer Science,
Oregon State University
Email: [at]

About me

I am an Assistant Professor in the School of Electrical Engineering and Computer Science (EECS) at Oregon State University. I was a Postdoctoral Research Associate at the Department of Electrical and Computer Engineering at Princeton University from 2021 to 2022, hosted by Dr. Mengdi Wang. I received my Ph.D. in Computer Science at University of Virginia in 2021, supervised by Dr. Hongning Wang. I received my B.Eng. in Computer Science at University of Science and Technology of China in 2015. My research interests include reinforcement learning, information retrieval and machine learning in general. Currently I focus on multi-armed bandits and reinforcement learning with application to online recommendation and other information retrieval problems.

Updates: I am looking for self-motivated PhD students with solid math and coding backgrounds starting Fall 2024. More information can be found here for prospective students.

News and Updates

  • [09/2023] One paper on offline RL for learning to rank is accepted by NeurIPS 2023.

  • [04/2023] One paper on representation learning in POMDP is accepted by ICML 2023. See you in Hawaii!

  • [01/2023] Our asynchronous kernel bandits paper is accepted by ICLR 2023.

  • [09/2022] Two papers accepted by NeurIPS 2022: one on distributed kernel bandits and the other on Thompson Sampling for Directed Evolution.

  • [09/2022] Joined EECS at Oregon State University as an Assistant Professor!

Honors and Awards

  • [08/2019], SIGIR 2019 Best Paper Award.

  • [2018 - 2021], Bloomberg Data Science Ph.D. Fellowship.

  • [08/2021], ICML 2021 Best Reviewers (Top 10%).