Chanyoung Park
Scholar

Chanyoung Park

Google Scholar ID: lWk2LtQAAAAJ
Associate Professor, KAIST
Artificial intelligenceGraph data miningRecommender systemAI for Science
Citations & Impact
All-time
Citations
3,317
 
H-index
28
 
i10-index
46
 
Publications
20
 
Co-authors
62
list available
Resume (English only)
Academic Achievements
  • Published papers in top international conferences and journals such as NeurIPS, CIKM, ECCV, KDD, ICML, CVPR, WWW, ICLR, Bioinformatics, etc.
Research Experience
  • Leads the Data Science & Artificial Intelligence Lab (DSAIL) at KAIST, focusing on mining meaningful knowledge from multimodal data and developing artificial intelligence solutions for various real-world applications.
Background
  • Research interests include data-centric AI, machine learning, deep learning, multi-modal data mining, and their applications across different disciplines. Areas of expertise include recommender systems, AI for science (such as chemistry/bioinformatics/materials science), graph neural networks and their applications, molecular design and drug discovery, etc.