Jikai Jin

Jikai Jin

Undergraduate student

Peking university


Welcome to my personal website! I am currently a senior undergraduate student majoring in computational mathematics at School of Mathematical Sciences, Peking University, fortunately having Prof. Liwei Wang as my research advisor. My research is highly interdisciplinary across statistics, applied probability and operations research. While being trained as a theorist, the ultimate goal of my research is to develop state-of-the-art solutions for important real-world problems. If you share similar interest, feel free to contact me via email or Wechat. In this fall, I am going to join The Institute for Computational and Mathematical Engineering (ICME) at Stanford university as a Ph.D. student.

Download my resumé.

  • Machine learning for science
  • Causal inference and experiment design
  • BSc in Computational Mathematics, 2023(expected)

    Peking University

Recent News

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Sept. 2022 Personal website created!

Sept. 2022 Our new paper on minimax optimal kernel operator learning has been posted on ArXiv.

Oct. 2022 Our operator learning paper is accepted by the NeurIPS 2022 AI4Science workshop.

Dec. 2022 I am delighted to receive the 2022 Sensetime Scholarship which is awarded to 30 undergraduate students from Chinese universities in the field of AI.

Jan. 2023 Our operator learning paper is accepted by ICLR 2023 as spotlight presentation.

Recent Publications

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(2023). Understanding Incremental Learning of Gradient Descent -- A Fine-grained Analysis of Matrix Sensing. arXiv preprint arXiv 2301.11500.

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(2022). Minimax Optimal Kernel Operator Learning via Multilevel Training. In ICLR 2023 (spotlight).

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(2022). Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power. arXiv preprint arXiv:2205.13863, accepted by NeurIPS 2022.

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(2021). Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis. In NeurIPS 2021.

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(2020). Improved analysis of clipping algorithms for non-convex optimization. In NeurIPS 2020.

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advised by Prof. Liwei Wang (Peking University)
Unergrduate Research Intern
advised by Prof. Liwei Wang (Peking University)
Feb 2020 – Present Beijing, China
Work on machine learning theory.

Awards and Honors

All awards and honors»

Oct. 2022 Qin-Jin Scholarship, Peking University.

Oct. 2021 Exceptional award for academic innovation, Peking University.

Jun. 2021 Elite undergraduate training program of Applied Mathematics and Statistics.

May 2021 Bronze Medal, S.T. Yau College Student Mathematics Competition, probability and statistics individual.

Dec. 2020 Qin-Jin Scholarship, Peking University.

Oct. 2020 Yizheng Scholarship, Peking University.

Feb. 2019 Silver Medal, 11th Romania Masters of Mathematics.

Oct. 2018 First Prize (ranked No.6), Chinese Mathematical Olympiad (CMO).

Oct. 2017 First Prize (ranked No.13), Chinese Mathematical Olympiad (CMO).