Zeyu Zhang
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Ph.D. Student, |
About me
I am a Ph.D. student in the Department of Statistic and Data Science at Northwestern University. I received my B.Eng. in Electronic Engineering and Information Science at University of Science and Technology of China in 2023. My research interests reinforcement learning, optimization, and machine learning in general. Currently I focus on offline reinforcement learning theory and its application to recommendation and other information retrieval problems.
News and Updates
[09/2023] One paper on offline RL for learning to rank is accepted by NeurIPS 2023, congratulations!
[06/2023] Graduate from University of Science and Technology of China as an honored outstanding gratuate!
[04/2023] Paper finally submitted to NeruIPS 2023: Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective.
Honors and Awards
[10/2022], Outstanding Undergraduate Honorary Rank (top 5% in department).
[11/2021], The National Undergraduate Electronic Design Contest, 2nd Prize Nationally, 1st in Anhui Province.
[10/2021], China National Scholarship honored by Ministry of Education of the PRC (top 1% in department).
[11/2020], The 12th College Mathematics Competition, 2nd Prize in Anhui Province.
[08/2020], Outstanding Student Scholarship (Class A, top 1% in class).
Publications
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective
Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang. [arXiv] [pdf]
Preprints
Teaching Assistant
[USTC, Spring 2022], Signal and System, Assist with lecturer Wei Lu
[USTC, Fall 2022], Digital Logic Circuits, Assist with Lecture Xinwei Hu
Skills and Language
Programming: Python(Scikit, Pytorch, Gym, Numpy), C, Verilog, Git, Bash, C++, Matlab, Java
Software: Visual Studio, Visual Studio Code, LaTeX, Markdown, Origin, ISE
Soft Skill: Teamwork, Event Management, Writing, Public Speaking, Time Management