- 2025, AISTATS2025, “Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity”
- 2024, Mathematical Programming, “Low-rank optimization on Tucker tensor varieties”
- 2024, Journal of Machine Learning Research, “Infeasible deterministic, stochastic, and variance-reduction algorithms for optimization under orthogonality constraints”
- Postdoc, University of Münster, 2021-2022, Host: Benedikt Wirth
- (Tenure-track) Associate Professor, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Sep 2022 – Mar 2025, Academic staff of LSEC and ICMSEC
- (Tenured) Associate Professor, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Apr 2025 – Present, Academic staff of ICMSEC
Education
- B.Sc. in Mathematics, 2014, Sichuan University, China
- Ph.D. in Applied Mathematics, 2019, University of Chinese Academy of Sciences
Background
He is an associate professor at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences. His research interests include numerical methods for optimization on manifolds and their applications, tensor computation, machine learning, and parallel/distributed optimization.