Kwanyoung Kim
Scholar

Kwanyoung Kim

Google Scholar ID: uvHIHbkAAAAJ
Samsung Research
Computer VisionGenerative AIDistribution Matching
Citations & Impact
All-time
Citations
966
 
H-index
10
 
i10-index
10
 
Publications
19
 
Co-authors
5
list available
Contact
Resume (English only)
Academic Achievements
  • Papers accepted to AAAI 2026, ICCV 2025, MedIA 2025, ECCV 2024, ICLR 2024, ICASSP 2024, IPIU 2024; Won Gold (1st Place) and Bronze (3rd Place) Prizes at the Samsung Best Paper Award 2025; Best Oral Presentation and Poster Award at KOSAIM 2024; Best Poster Award at KOSAIM 2023; 3rd Award in NTIRE 2018 Image Super Resolution Challenge Track 2&3; Honorable Mention Award in NTIRE 2018 Image Super Resolution Challenge Track 1.
Research Experience
  • Sep. 2024 - Present, AI Research Scientist, Samsung Research.
Education
  • Ph.D., Korea Advanced Institute of Science and Technology (KAIST), Sep. 2020 - Aug. 2024, Advisor: Prof. Jong Chul Ye; M.S., Ulsan National Institute of Science and Technology (UNIST), Aug. 2018 - Aug. 2020, Advisor: Prof. Se Young Chun; B.S., Ulsan National Institute of Science and Technology (UNIST), Feb. 2012 - Aug. 2018, Summa Cum Laude.
Background
  • Research Interests: Deep Generative AI, Inverse Problems and Computational Imaging, Multi-Modal Learning. Specializes in developing efficient generative models, accelerating diffusion models, image restoration, medical image reconstruction, and enhancing multi-modal learning.
Miscellany
  • Invited Talks: Seoul National University, Invited Seminar on Cost-Efficient Generative AI — July 2025; Microsoft Research Asia, Invited Seminar on Cost-Efficient Generative AI — April 2025.