Qiang Xu
Scholar

Qiang Xu

Google Scholar ID: eSiKPqUAAAAJ
Professor, The Chinese University of Hong Kong
EDATime SeriesAI Safety
Citations & Impact
All-time
Citations
10,015
 
H-index
40
 
i10-index
90
 
Publications
20
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • Advised students Ailing Zeng and Muxi Chen on their paper which was selected as one of the Most Influential AAAI Papers of 2023.
Research Experience
  • Leads the CURELab team in developing robust AI models that can withstand adversarial attacks and operate reliably under uncertain or volatile conditions.
Background
  • Professor, Director of CURE Lab. Research interests include but are not limited to AI-Native EDA, Time Series, and Generative AI.