About

• Associate Professor
• Department of Data Science
• City University of Hong Kong

• Google
• GitHub

I’m seeking highly motivated students with a strong background in machine learning and deep learning, offering full financial support. Interested candidates are strongly encouraged to contact me via email, together with a resume including a publication list and transcripts. Two postdocs and five PhD positions are available in 2026 Fall.

Kaidi Xu is an Associate Professor in the Department of Data Science at City University of Hong Kong. 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 a program committee member and area chair for leading conferences. 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.

Google Scholar, GitHub

Recent News