Ke Zou (Coco Zou)
Scholar

Ke Zou (Coco Zou)

Google Scholar ID: fRvi7zkAAAAJ
National University of Singapore | A*STAR | Sichuan University
Uncertainty estimationVision-language modelMedical image analysis
Citations & Impact
All-time
Citations
719
 
H-index
13
 
i10-index
15
 
Publications
20
 
Co-authors
10
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - Published multiple papers in npj digital medicine, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Cybernetics, Lancet Digital Health, IEEE TPAMI, JAMA ophthalmology, Nature Medicine, ICCV 2025, MICCAI 2025, etc.
  • - Guest Editor for special issues in IEEE JBHI and Frontiers in Medicine
Research Experience
  • - Research Fellow at National University of Singapore, under the supervision of PYP Assistant Professor Tham Yih Chung
  • - Involved in multiple research projects, including medical image analysis, point set registration, track2track association, multi-sensor fusion (lidar and camera)
Education
  • - Ph.D.: National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, co-advised by Prof. Xiaojing Shen and Prof. Xuedong Yuan
  • - Visiting Ph.D. Student: Agency for Science, Technology and Research (A*STAR), from September 2022 to September 2023, supervised by Principal Scientist Huazhu Fu
Background
  • - Research Interests: Trustworthy multi-modality learning, Explainable VLM with Grounding, Hallucination and Fairness in VLM
  • - Professional Field: AI+Healthcare, Computer Vision, Intelligent Vehicle
  • - Brief Introduction: Research Fellow at National University of Singapore, focusing on medical image analysis, uncertainty estimation, multi-modal learning, etc.
Miscellany
  • - Seeking collaboration in: Trustworthy multi-modality learning, Explainable VLM with Grounding, Hallucination and Fairness in VLM
  • - Research Interests: Agents, Vision Language model, Foundation model