Songtao Lu
Scholar

Songtao Lu

Google Scholar ID: LRsjX7kAAAAJ
Assistant Professor, CSE, The Chinese University of Hong Kong
Foundations of Machine LearningNonconvex OptimizationNumerical Analysis
Citations & Impact
All-time
Citations
2,411
 
H-index
27
 
i10-index
52
 
Publications
20
 
Co-authors
37
list available
Resume (English only)
Academic Achievements
  • Received multiple awards, including being selected for Stanford University's 2024 World's Top 2% Scientists List, IBM Research Accomplishment Award, IBM Plateau Invention Achievement Award, IEEE Senior Member, etc.; Published papers in top conferences and journals such as NeurIPS 2024, ICML 2024, ICASSP 2024, ACM CCS 2024, etc.; Received research grants from CUHK Direct Grant, SHIAE, etc.
Research Experience
  • Assistant Professor at the Department of Computer Science and Engineering, The Chinese University of Hong Kong; Served as Area Chair or Program Chair for ICML 2025, NeurIPS 2024, AAAI 2025, etc.
Background
  • Research interests: Theoretical foundations of machine learning models, design and computational complexity analysis of optimization algorithms, application of ML models and algorithms in natural language processing, reinforcement learning, and multi-agent systems.
Miscellany
  • Currently recruiting self-motivated PhD students (starting in 2026) and postdoctoral scholars interested in machine learning, optimization, or related areas. Interested candidates can contact via email.