Tansheng Zhu 朱坦晟
My research interests lie in {machine learning theory, optimization, and high-dimensional probability}.
Under the guidance of Prof. Zhenli Xu, I am currently researching efficient algorithms for Bayesian optimization and reinforcement learning.
Also, under the supervision of Prof. Fenglei Fan, I am investigating the properties of finitely wide neural networks as their depth approaches infinity, with the aim of uncovering the duality between width and depth.
Education
Aug. 2021 – June 2025, B.S. in Mathematics (Zhiyuan Honors Program), Minor in Finance, Shanghai Jiao Tong University
July 2024 – Sept. 2024, Junior Research Assistant, Department of Mathematics, The Chinese University of Hong Kong
Jan. 2024 – May 2024, Exchange Student, The Chinese University of Hong Kong
Honors and Awards
June 2025, Outstanding Graduate of Shanghai Municipality (Top 1%)
June 2025, Best Bachelor Thesis Award of Shanghai Jiao Tong University (Top 1%)
June 2025, Zhiyuan Distinguished Scholarship (30 winners annually, Shanghai Jiao Tong University)
Dec. 2022, A-class Academic Excellence Scholarship (Top 1%, Shanghai Jiao Tong University)
May 2024, Winning Prize in S.-T. Yau College Student Mathematics Contest, Appl. & Comp. Mathematics Track
May 2024, Finalist Winner in Mathematical Contest in Modeling (Top 3% of 18000+ teams)
Nov. 2023, 1st Prize in Shanghai Region of Chinese Mathematics Competitions
Aug. 2023, 1st Prize in Huashu Cup National Mathematical Contest in Modeling (solo winner)
Oct. 2020, 1st Prize in Chinese High School Mathematics League
Contact
Email:
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GitHub: tshzhu (Tansheng Zhu)
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