Minshuo
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Minshuo Chen

 

Minshuo Chen 陈旻硕
Industrial Engineering and Management Sciences
Northwestern University
Email: minshuo.chen (AT) northwestern (DOT) edu

News

  • I am teaching a new course on Deep Generative AI with a focus on diffusion and flow models
    Lecture notes and slides are available at Deep Generative AI Course.

  • I gave a SNAPP seminar on guidance for fine-tuning diffusion models
    Slides are avaiable guidance_diffusion.

  • Mengdi and I gave a tutorial on diffusion models at INFORMS 2024, Seattle
    Slides are available tutorial_diffusion.

  • Invited speaker at MMLS’24 May 20 - 21 (Free registration)

  • I will speak at ISYE Statistics Seminar, Georgia Tech
    Title: Diffusion Models for Distribution Estimation and Optimization

  • I will present Diffusion Models at INFORMS 2023 session
    MA35. The Interplay between Learning, Optimization, and Statistics
    Oct. 16th, 8:00 - 9:15 AM

About

I am an assistant professor with the IEMS department at Northwestern University. Prior to joining Northwestern, I am an associated research scholar with the ECE department at Princeton University, working with Prof. Mengdi Wang. I obtained my Ph.D. from Georgia Tech, under the supervision of Prof. Tuo Zhao and Prof. Wenjing Liao. I also received a Master's degree in Electrical Engineering from UCLA, and Bachelor's degree in Electrical and Information Engineering from Zhejiang University. Here is my CV.

My group works on GENIOS projects, centering on GENerative AI, emphasizing Innovative algorithms, efficient Optimization, and Statistical foundations; including

  • Generative AI: diffusion and flow models for data modeling and beyond

  • Foundations of learning: approximation, optimization and efficiency

  • (Deep) Reinforcement learning: diagnosis and control in complex systems

Members in the group: