I am currently an M.S. student at Korea University, co-advised by Prof. Donghyun Kim and Prof. Suhyun Kim at Kyung Hee University (formerly at KIST), and will join The University of Texas at Austin as an incoming Ph.D. student.
My research interest is to leverage image/video generation models to solve challenging and complex real-world tasks, especially those related to human perception. I am driven by the philosophy of "Generate to Understand", echoing Feynman's dictum, "What I cannot create, I do not understand".
Beyond mere content creation, I aim to leverage generative models as fundamental instruments to solve complex real-world tasks. I believe that just as LLMs have evolved to reason and solve problems, vision generative models will ultimately serve as the key to perceiving, reasoning about, and understanding the physical world.
Email: climba (at) korea (dot) edu | Curriculum Vitae
📝 Publications
Correlation-Weighted Multi-Reward Optimization for Compositional Generation
Self-Improving Diffusion Classifiers with Minority Preference Optimization
Safety-Aware Image-to-Image Translation without Paired Data
Consistency-Preserving Concept Erasure via Unsafe-Safe Pairing and Directional Fisher-weighted Adaptation
đź’» Work Experience
- 2024.09 - Present, Korea Institute of Science and Technology, Graduate Researcher, Seoul, Korea.
- 2024.03 - 2024.06, Korea Institute of Science and Technology, Undergraduate Research Intern, Seoul, Korea.
🤝 Academic Services
- Conference reviewer:
AAAI,ICLR,CVPR
đź“– Educations
- 2024.09 - Present, Korea University, M.S. in Artificial Intelligence (in progress).
- 2018.03 - 2024.08, Inha University, B.S. in Statistics.