Qi Yu
Scholar

Qi Yu

Google Scholar ID: L3gWdfEAAAAJ
Professor, Rochester Institute of Technology
Machine learningdata mining
Citations & Impact
All-time
Citations
3,572
 
H-index
30
 
i10-index
76
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • - Two papers accepted by ICLR 2025
  • - Two papers accepted by AAAI 2025
  • - Four papers accepted by NeurIPS 2024
  • - One paper accepted by KDD 2024
Research Experience
  • - NSF IIS Award (~$500K, July 2018 - June 2023)
  • - DoD/ONR Project (~$1.6M, October 2018 - September 2023)
  • - Using Novel Scientific Machine Learning to Revolutionize Computational Methods for High-Energy-Density Physics
  • - Accurate and Efficient Understanding of Dynamic Materials under Extreme Conditions Through Novel Scientific Machine Learning
Background
  • Research Interests: Developing interpretable machine learning models to analyze large-scale multimodal dynamic data; keeping humans in the loop for interactive and continuous model improvement. Areas of Expertise: Machine Learning, Data Intensive Computing.
Miscellany
  • The Mining lab has multiple PhD and Postdoc positions in the general areas of machine learning and data mining.