Donghyun Kim
Scholar

Donghyun Kim

Google Scholar ID: UsqNPH4AAAAJ
Korea University
Transfer Learning
Citations & Impact
All-time
Citations
3,275
 
H-index
23
 
i10-index
29
 
Publications
20
 
Co-authors
17
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Team members have published papers in top conferences and journals such as Scientific Reports, International Journal of Computer Vision (IJCV), ICCV 2025 Workshop, ICCV 2025, Engineering Applications of Artificial Intelligence, CVPR 2025, ICLR 2025, and Expert Systems with Applications. Additionally, team member Jungmyung Wi won second place in the 2025 Samsung Collegiate Programming Challenge.
Research Experience
  • Leading the Universal Transfer Learning (UTL) Lab at Korea University, focusing on research in transfer learning.
Background
  • Research interests include but are not limited to domain transfer, task transfer, pre-training for transfer learning, foundation model adaptation, efficient adaptation, multimodal representation learning, transferable representation learning, un/self-supervised learning, learning from synthetic data, and learning compositionality. Aiming to develop highly effective transfer learning algorithms that can seamlessly transcend the boundaries of disparate domains and modalities.
Miscellany
  • Looking for passionate new MS, MS/PhD, PhD students or Postdocs to join the team.