Kwanyoung Kim, Ph.D
Kwanyoung Kim, Ph.D
Assistant Professor,
Department of AI Convergence,
GIST,
REAL LAB [Website]
cubekwan [at] gmail.com
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Research Interests
Research Interests
• Fundamental Generative AI
- Designing efficient and theoretically grounded generative frameworks
- Enhancing model efficiency through training-free and post-training apporaches
• Embodied AI: Vision-Language-Action (VLA) & Agents
- Developing VLA models that integrate generative priors for robot learning and decision-making.
- Exploring diffusion-based generative policies for autonomous agents and complex action sequences.
• AI for Science: Healthcare & Life Sciences
- Advancing high-level AI for Science, extending from medical imaging to protein and molecular design.
- Integrating physics-informed generative priors into healthcare AI for reliable scientific discovery.
Work Experiences
Work Experiences
03. 2026 - Current Assistant Professor, Gwangju Institute of Science and Technology (GIST)
03. 2026 - Current Assistant Professor, Gwangju Institute of Science and Technology (GIST)
09. 2024 - 02.2026 AI Research Scientist, Samsung Research
09. 2024 - 02.2026 AI Research Scientist, Samsung Research
Education
Education
Ph. D., Kim Jae Chul Graduate School of AI (Sep. 2020 - Aug. 2024)
Korea Advanced Institute of Science and Technology (KAIST), South Korea
Thesis Title : "Score Matching Based Self-Supervised Image Denoising and Parameter Estimation"
Advisor: Prof. Jong Chul Ye
M. S., Electrical Engineering (Aug. 2018 - Aug. 2020)
Ulsan National Institute of Science and Technology (UNIST), South Korea
Thesis Title : "Unsupervised Training of Denoisers for Low-Dose CT Reconstruction Without Full-Dose Ground Truth"
Advisor: Prof. Se Young Chun, (He is currently in Seoul National University, SNU )
B. S., Electrical Engineering (Feb. 2012 - Aug. 2018)
Ulsan National Institute of Science and Technology (UNIST), South Korea, Summa Cum laude
News
News
2026
2026
Our Paper accepted to CVPR 2026 (acceptance rate = 25.4%)
Our Lab Homepage (REAL LAB@GIST) is Open!
Our Paper accepted to ICLR 2026 (acceptance rate = 28.2%)
2025
2025
Our Paper accepted to AAAI 2026 (acceptance rate = 17.6%)
I won both the Gold (1st Place) and Bronze (3rd Place) Prizes at the Samsung Best Paper Award 2025
Our Paper accepted to ICCV 2025 (acceptance rate = 24%)
Our Paper accepted to MedIA 2025 (Impact factor = 11.8)
2024
2024
I won the best oral presentation and poster award KOSAIM 2024
Our Paper accepted to ECCV 2024
I ended my Ph.D course at August, 2024
Our Paper accepted to ICLR 2024
Our Paper accepted to ICASSP 2024, IPIU 2024
2023
2023
I won the best poster award KOSAIM 2023
Awards
Awards
• Gold Prize (1st place in AI/Software) in Samsung Best Paper Awards, 2025
• Bronze Prize (3rd place in AI/Software) in Samsung Best Paper Awards, 2025
• Best Oral Presentation Award in Conference of Korean Society of Artificial Intelligence in Medicine, 2024
• Best Poster Award in Conference of Korean Society of Artificial Intelligence in Medicine, 2024
• Best Poster Award in Conference of Korean Society of Artificial Intelligence in Medicine, 2023
• 3rd Award in NTIRE 2018 Image Super Resolution Challenge Track 2&3 – x4 Denoising & Super resolution (CVPR Workshop), [Award Certificate]
• Honorable Mention Award in NTIRE 2018 Image Super Resolution Challenge Track 1 – x8 Super resolution (CVPR Workshop), [Award Certificate]
Invited Talks
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
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