Short Bio
Yan Yang is a fourth-year PhD student at the Academy of Mathematics and Systems Science, advised by Prof. Ya-xiang Yuan. Before this, he received the Bachelor degree (2022) in mathematics at the University of Chinese Academy of Sciences. His current research focuses on low-rank optimization, bilevel optimization, and Riemannian optimization. Here is my CV.
News
01-19: New paper accepted in Mathematical Programming - “A space-decoupling framework for optimization on bounded-rank matrices with orthogonally invariant constraints”
12-15: Honored to be selected for the CAST's Young Talents Cultivation Program for Doctoral Students (中国科协青年人才培育工程-博士生专项计划) 🌱
11-29: New preprint - “Variational analysis of determinantal varieties”
09-30: Awarded the Hua Luogeng Scholarship at AMSS 🎖️
05-05: Awarded the SIAM Certificate of Recognition 🎖️
01-24: New preprint - “A space-decoupling framework for optimization on bounded-rank matrices with orthogonally invariant constraints”
01-23: New paper accepted in AISTATS 2025 - “Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity”
01-23: New paper accepted in ICLR 2025 - “LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspace”
Refereed papers & preprints
View All →A space-decoupling framework for optimization on bounded-rank matrices with orthogonally invariant constraints
Mathematical Programming 2026
Variational analysis of determinantal varieties
arXiv:2511.22613 2025
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity
International Conference on Artificial Intelligence and Statistics (AISTATS) 2025
Services
President of Chinese Academy of Sciences SIAM Student Chapter
Presentations
11-19: Talk at the Eighth Peking University Symposium for Top Doctoral Students in Computational and Applied Mathematics, Beijing, China (slide)
10-23: Poster at the Twenty-Third Annual Conference of China Society for Industrial and Applied Mathematics, Changsha, China (poster, CSIAM 2025)

