Kaidi Xu
Biography
Kaidi Xu is an Associate Professor in the Department of Data Science at City University of Hong Kong. He also serves as Deputy Director of The Hong Kong Institute of AI for Science (HKAI-Sci). He received his Ph.D. from Northeastern University and M.S. from the University of Florida in 2021 and 2017, respectively. He then served as an Assistant Professor in the Department of Computer Science at Drexel University from 2021 to 2025.
His primary research interest is Trustworthy AI, including formal verification, practical adversarial attacks, and uncertainty quantification. Prof. Xu has published extensively in top-tier venues across machine learning, computer vision, and natural language processing, and has served as area chair for leading conferences and associate editor for ACM Computing Surveys.
He is a 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 winner of the Best Paper Award at the NeurIPS 2024 GenAI4Health workshop. He is among the Stanford World's Top 2% Scientists in 2025. As Principal Investigator, Prof. Xu has led multiple research projects funded by the U.S. NSF and national laboratories. His work bridges rigorous theoretical guarantees with practical AI robustness solutions, advancing the safety and reliability of AI systems in real-world applications.
Open Positions
I'm seeking highly motivated students with a strong background in deep learning, offering full financial support. Interested candidates are strongly encouraged to contact me via email, including a resume, publication list, and transcripts. Two postdocs and five PhD positions are available for Spring/Fall 2027.
Recent News
- Two papers were accepted (2× ICML)!
- Three papers were accepted (1× ACL, 1× AIED, 1× ICDM)!
- I am serving as an Area Chair for NeurIPS and COLM 2026.
- Five papers were accepted (3× ICLR, 1× EACL, 1× CPAL)!
- Two papers were accepted to AAAI 2026 (1 oral, 1 poster)!