Kaize Ding
Scholar

Kaize Ding

Google Scholar ID: PI3myr8AAAAJ
Assistant Professor of Stats & Data Science, Northwestern University
Reliable Machine LearningData-Efficient LearningAnomaly/OOD DetectionLLMs and GNNs
Citations & Impact
All-time
Citations
4,986
 
H-index
33
 
i10-index
61
 
Publications
20
 
Co-authors
31
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Publications: Multiple papers accepted by NeurIPS 2025, EMNLP 2025, CIKM 2025, etc.
  • - Awards: Student won the Summer Undergraduate Research Grant (SURG)
  • - Service: Served as Area Chair for NeurIPS 2025, ARR
  • - Other Achievements: Received Google Research Grant and Amazon Research Award
Research Experience
  • - Position: Assistant Professor in Statistics and Data Science at Northwestern University, leading the REAL Lab
  • - Other: Faculty member of the IDEAL Institute
Education
  • - PhD in Computer Science from Arizona State University, supervised by Prof. Huan Liu
Background
  • - Research Interests: Data mining, machine learning, and large foundation models
  • - Professional Field: Statistics and Data Science
  • - Brief Introduction: Aiming to build reliable and efficient AI systems for autonomous decision-making, with a passion for developing knowledge-guided AI algorithms based on GNNs and LLMs, applied in areas like healthcare/biomedicine and urban/environmental computing.
Miscellany
  • - Seeking highly motivated students/interns to join his REAL lab