Published multiple papers on topics such as generative behavior cloning, graph neural networks, collaborative preference learning, cross-lingual information retrieval models, retrieval-augmented generation, self-training large language models, efficient latent semantic clustering, addressing attribute leakage in text embeddings, instance-dependent label noise, comparison-based active preference learning, semantic exploration, and robust and efficient federated low-rank adaptation.
Research Experience
Currently an associate professor in the Department of Computer Science and Engineering and Graduate School of Artificial Intelligence, and a member of the Machine Learning Lab at POSTECH.
Education
Completed Ph.D. in the School of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST), South Korea, under the supervision of Prof. Yung Yi and Prof. Jinwoo Shin. Worked as a postdoctoral researcher at KTH, Stockholm, Sweden, and Paul G. Allen School of Computer Science & Engineering, University of Washington, WA, US, with Prof. Alexandre Proutiere and Prof. Sewoong Oh, respectively.
Background
Research interests include fundamental machine learning frameworks for agentic AI, including hierarchical reinforcement learning, structured exploration, LLM-based planning, active learning, and foundational dataset construction.
Miscellany
Looking for motivated graduate students, postdocs, and interns interested in tackling exciting machine learning problems.