Kaidi Xu
Scholar

Kaidi Xu

Google Scholar ID: lYK0wlsAAAAJ
Associate Professor, City University of Hong Kong
AI SecurityUncertainty QuantificationFormal Verification
Citations & Impact
All-time
Citations
6,743
 
H-index
32
 
i10-index
50
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Published extensively in top-tier venues across machine learning, computer vision, and natural language processing. Four-time champion of the International Verification of Neural Networks Competition (VNN-COMP 2021, 2022, 2023, 2024). Recipient of Drexel’s Faculty Research Excellence Award and Best Paper Award at the NeurIPS 2024 GenAI4Health workshop. Among the Stanford World’s Top 2% Scientists in 2025. Led multiple research projects funded by the U.S. NSF and national laboratories as Principal Investigator.
Research Experience
  • Served as an Assistant Professor in the Department of Computer Science at Drexel University from 2021 to 2025.
Education
  • Ph.D. from Northeastern University in 2021, M.S. from the University of Florida in 2017.
Background
  • Associate Professor in the Department of Data Science at City University of Hong Kong. Primary research interest is Trustworthy AI, including formal verification, practical adversarial attacks, and uncertainty quantification.
Miscellany
  • Seeking highly motivated students with a strong background in machine learning and deep learning, offering full financial support.