Jungseul Ok
Scholar

Jungseul Ok

Google Scholar ID: KWG3UUMAAAAJ
Associate Professor, CSE/AI, POSTECH
Reinforcement LearningMachine Learning
Citations & Impact
All-time
Citations
836
 
H-index
13
 
i10-index
20
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • 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.