Welcome to my personal website! I am an incoming Ph.D. student of the The Institute for Computational and Mathematical Engineering (ICME) at Stanford university. Prior to joining Stanford, I obtained my bachelor degree in computational mathematics at the School of Mathematical Sciences, Peking University, fortunately having Prof. Liwei Wang as my research advisor. My research is highly interdisciplinary across machine learning, statistics, operations research. While primarily focusing on theoretical aspects, 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. Download my resumé.
Ph.D. in Computational and Mathematical Engineering, 2023 - 2028 (expected)
Stanford University
BSc in Computational Mathematics, 2019 - 2023
Peking University
High School Diploma, 2017 - 2019
No.2 High School of East China Normal University
Jul. 2023 Graduate from Peking University!
Apr. 2023 Our incremental learning paper is accepted by ICML 2023
Mar. 2023 I have decided to join Stanford ICME as a Ph.D. student this fall!
Jan. 2023 Our operator learning paper is accepted by ICLR 2023 as spotlight presentation.
Oct. 2022 Our operator learning paper is accepted by the NeurIPS 2022 AI4Science workshop.
We prove that GD applied to the matrix sensing problem has intriguing properties – with small initialization and early stopping, it follows an incremental/greedy low-rank learning procedure. This form of simplicity bias allows GD to recover the ground-truth, despite over-parameterization and non-convexity.
We consider the problem of learning a linear operator between Sobolev RKHSs from noisy data. Different from its finite-dimensional counterpart where regularized least squares is optimal, we prove that estimators with a certain multilevel structure is necessary (and sufficient) to achieve optimality.
Jun. 2023 Huaixin Scholar, BICMR
Jun. 2023 Peking University Excellent Graduate.
Jan. 2023 Sensetime Scholarship (awarded to 30 Chinese undergraduate students in the field of AI).
Oct. 2022 Qin Wanshun-Jin Yunhui Scholarship, Peking University.
Oct. 2022 Merit Student, 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 Wanshun-Jin Yunhui 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).