Qingquan Song
Scholar

Qingquan Song

Google Scholar ID: QEZeOZYAAAAJ
LinkedIn
LLMEfficient MLAutoMLTensor AnalysisRecommender Systems
Citations & Impact
All-time
Citations
3,070
 
H-index
20
 
i10-index
23
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Author of 'Automated Machine Learning in Action', which is part of the Manning Early Access Program (MEAP).
Research Experience
  • Researcher at OpenAI pretraining foundation team; Previously a Senior Staff Machine Learning Engineer at LinkedIn Core AI.
Education
  • Ph.D. in Computer Science from the Department of Computer Science and Engineering at Texas A&M University under the supervision of Prof. Xia (Ben) Hu in 2021; B.S. in Statistics from the University of Science and Technology of China in 2016.
Background
  • Research interests: data mining and machine learning, particularly in automated machine learning, tensor analysis, and their applications in recommender systems and social networks.
Miscellany
  • Location: College Station, Texas; Social media links include GitHub.