Scholar
Jungtaek Kim
Google Scholar ID: KXNUYWgAAAAJ
University of Wisconsin–Madison
Citations & Impact
Citations
2,261
H-index
13
i10-index
15
Publications
20
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Papers “Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning” and “VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data” have been accepted at ICML-2025; Paper “Discovering Multi-Layer Films for Electromagnetic Interference Shielding and Passive Cooling with Multi-Objective Active Learning” has been accepted at NeurIPS Workshop on AI for Accelerated Materials Discovery (AI4Mat-2024).
Research Experience
- Postdoctoral Research Associate at the University of Wisconsin–Madison, working with Prof. Kangwook Lee.
Education
- Received B.S. in Mechanical Engineering and Computer Science and Engineering from POSTECH in 2015, and Ph.D. in Computer Science and Engineering from POSTECH in 2022, under the supervision of Prof. Seungjin Choi and Prof. Minsu Cho.
Background
- Main research interests: statistical machine learning, Bayesian optimization, large language models, and sequential assembly.
