Faculty Directory

Minshuo Chen

Assistant Professor of Industrial Engineering and Management Sciences

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Minshuo Chen's Website

Departments

Industrial Engineering and Management Sciences

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Research Interests

My research focuses on developing principled methodologies and theoretical foundations of learning and decision-making. I am particularly interested in

• Generative AI: diffusion models for data modeling and beyond
• Foundations of learning: approximation, optimization and efficiency 
• (Deep) reinforcement learning: diagnosis and control in complex systems

Selected Publications

• Wu, Yuchen; Chen, Minshuo; Li, Zihao; Wang, Mengdi; Wei, Yuting, Theoretical Insights for Diffusion Guidance, Proceedings of Machine Learning Research (2024).
• Li, Zihao; Ji, Xiang; Chen, Minshuo; Wang, Mengdi, Policy Evaluation for Reinforcement Learning from Human Feedback, Proceedings of Machine Learning Research (2024).
• Chen, Minshuo; Meng, Jie; Bai, Yu; Ye, Yinyu; Vincent Poor, H.; Wang, Mengdi, Efficient Reinforcement Learning with Impaired Observability, IEEE Transactions on Information Theory (2024).
• Dou, Zehao; Chen, Minshuo; Wang, Mengdi; Yang, Zhuoran, Theory of Consistency Diffusion Models, Proceedings of Machine Learning Research (2024).
• Wu, Shenghao; Zhou, Wenbin; Chen, Minshuo; Zhu, Shixiang, Counterfactual Generative Models for Time-Varying Treatments, Association for Computing Machinery (2024).
• Cheng, Jiahui; Chen, Minshuo; Liu, Hao; Zhao, Tuo; Liao, Wenjing, High dimensional binary classification under label shift, Sampling Theory, Signal Processing, and Data Analysis (2023).
• Wang, Jie; Chen, Minshuo; Zhao, Tuo; Liao, Wenjing; Xie, Yao, A manifold two-sample test study, Information and Inference (2023).