Seonghwan Kim
Scholar

Seonghwan Kim

Google Scholar ID: qrUHQ90AAAAJ
Dept. Chemistry, KAIST
machine learningchemical reactionrepresentation learning
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Citations & Impact
All-time
Citations
79
 
H-index
4
 
i10-index
1
 
Publications
8
 
Co-authors
8
list available
Contact
No contact links provided.
Publications
8 items
Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction
2026
Cited
0
K-EXAONE Technical Report
2026
Cited
1
EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes
2025
Cited
0
Towards Personalized Conversational Sales Agents : Contextual User Profiling for Strategic Action
2025
Cited
0
EXAONE Deep: Reasoning Enhanced Language Models
2025
Cited
0
FragFM: Efficient Fragment-Based Molecular Generation via Discrete Flow Matching
2025
Cited
0
Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation
arXiv.org · 2024
Cited
2
Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers
2024
Cited
1
Resume (English only)
Co-authors
8 total
Woo Youn Kim
Woo Youn Kim
Professor of Chemistry and Graduate School of Data Science, KAIST
Jeheon Woo
Jeheon Woo
Div. of National Supercomputing, Korea Institute of Science and Technology Information
Jun Hyeong Kim
Jun Hyeong Kim
Korea Advanced Institute of Science and Technology
Co-author 4
Co-author 4
Hyeongwoo Kim
Hyeongwoo Kim
Ph.D student in Department of Chemistry, KAIST
Sungsoo Ahn
Sungsoo Ahn
KAIST
Kiyoung Seong
Kiyoung Seong
M.Sc. student, KAIST
Seonghyun Park
Seonghyun Park
PhD student, KAIST AI