YAQIN CHEN · 陈亚勤
About Me
I am an incoming PhD student in Industrial Engineering and Management Sciences (IEMS) at Northwestern University, starting in Fall 2026. I received my B.S. in Information and Computing Science from Sun Yat-sen University (SYSU) and was a visiting student in the Department of Statistics at the University of Wisconsin–Madison.
Research Interests
My research focuses on the theory and methodology of generative modeling. I study the statistical and optimization foundations of modern generative models and develop principled, efficient, and reliable algorithms for learning and sampling from complex distributions.
Mentors & Collaborators
At SYSU, I am fortunate to be advised by Prof. Pengxu Wei and Prof. Liang Lin.
At UW-Madison, I am fortunate to be mentored by Prof. Yiqiao Zhong.
I am also grateful to have the opportunity to work with wonderful mentors, including Prof. Hongseok Namkoong at Columbia Business School and Prof. Jianxun Wang at Cornell University.
Recent News
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Jun 2026
Graduated from Sun Yat-sen University and received the Outstanding Graduate honor.
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Feb 2026
1 paper was accepted to CVPR 2026.
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Feb 2026
Our paper Training-Free Guided Generation techniques for Conditional Flow Matching on Scientific Datasets is now available on arXiv.
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Nov 2025
Released the preprint and project page for BELA. See the arXiv and Leaderboard.
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Sep 2025
Started visiting in the UW-Madison Statistics Department.