Ju Sun
Scholar

Ju Sun

Google Scholar ID: V6FaD-UAAAAJ
McKnight Land-Grant Professor, Computer Sci. & Eng., University of Minnesota at Twin Cities
machine learningcomputer visionnumerical optimizationAI for healthcareAI for science
Citations & Impact
All-time
Citations
4,175
 
H-index
23
 
i10-index
40
 
Publications
20
 
Co-authors
91
list available
Resume (English only)
Academic Achievements
  • Paper release: FMPlug: Plug-In Foundation Flow-Matching Priors for Inverse Problems (Aug 03, 2025); Exact Reformulation and Optimization for Direct Metric Optimization in Binary Imbalanced Classification (Jul 21, 2025). Grant approval: Led by Prof. Rui Zhang, funded by FDA to develop CardioOnco-AI (Sep 19, 2025); With Prof. Zhaosong Lu, Prof. Chris Bartel, funded by NSF ACED Program (2025). Service: Serving as local chair for IEEE International Conference on Healthcare Informatics 2026; To be an Action Editor of Transactions on Machine Learning Research (Oct 11, 2025).
Research Experience
  • McKnight Land-Grant Professor, Computer Science & Engineering; Leader, Group of Learning, Optimization, Vision, Healthcare, and X (GLOVEX); Core executive member, UMN Data Science Initiative (DSI); Leader of Computer Vision, Program for Clinical AI, Center for Learning Health System Sciences (CLHSS); Full Member, Innovative Methods & Data Science, CLHSS; Affiliated Faculty of Electrical and Computer Engineering; UMN CSE Data Science Initiative (CSE-DSI); AI Institute for Climate-Land Interactions, Mitigation, Adaptation, Tradeoffs and Economy (AI-CLIMATE); UMN Data Science Program; Institute for Health Informatics (IHI); Institute for Engineering in Medicine (IME); Masonic Cancer Center (MCC); CEO, Deeployable AI; R&D Director of Artificial Intelligence, PureBioX.
Background
  • Research Interests: Foundations of machine learning, computer vision, numerical optimization, and their application to science, engineering, and medicine.
Miscellany
  • Webpage: http://sunju.org; LinkedIn: https://www.linkedin.com/in/ju-sun-ai; Office Hour: Thur 4–6pm (Spring 2025); Co-organizing: UMN Machine Learning Seminar Series; UMN Data Science Seminars; MnRI Seminar; Minnesota Natural Language Processing Seminar.