I am an assistant professor in School of Information Management and Engineering at Shanghai University of Finance and Economics (SUFE). Before that, I obtained my PhD degree from Department of Systems Engineering & Engineering Management (SEEM) at Chinese University of Hong Kong (CUHK), where I am very fortunate to be supervised by Prof. Anthony Man-Cho So. I obtained my bachelor degree from School of Mathematical Sciences, Fudan University, advised by Prof. Rujun Jiang.

Email: chenhe at mail dot sufe dot edu dot cn

Research Interests

My research interests generally lie in mathematical optimization and its applications, such as first-order methods, bilevel optimization, computational economics, and machine learning. See my recent papers for reference.

News

• [2026.08] One paper on iterete convergence of general Bregman proximal methods is available, which establishes a unified convergence framework for Bregman methods.
• [2026.08] One paper on iterate convergence of Bregman gradient method with entropy kernel is available, which proposes a verifiable scaled KL property for Bregman settings.
  (This is my first PhD project and submitted on June 17, 2025).
• [2026.06] I gave a talk on Set Smoothness for BLO in SIAM Conference on Opt. 26.
• [2025.09] One paper on computability of BLO is accepted by Neurips 2025 [Spotlight], which proposes a set smoothness property for set-valued mappings.