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.