Guillaume Salha-Galvan
Scholar

Guillaume Salha-Galvan

Google Scholar ID: BFT8u-oAAAAJ
Associate Professor, Shanghai Jiao Tong University
Machine LearningDeep LearningGraph MiningRecommender Systems
Citations & Impact
All-time
Citations
851
 
H-index
14
 
i10-index
19
 
Publications
20
 
Co-authors
28
list available
Resume (English only)
Academic Achievements
  • Published over 30 peer-reviewed papers in top venues including ICML, KDD, WWW, IJCAI, EMNLP, and RecSys
  • Received best paper awards or honorable mentions at RecSys (2020, 2021, 2024) and ECIR (2024)
  • Research contributions have powered Deezer’s recommender systems, impacting millions of users
  • Papers accepted at ICML 2025 and WWW 2025
  • Co-organizing the EARL workshop on evaluating and applying recommender systems with LLMs at RecSys 2025