I am a PhD student in the Computer Vision Lab at Yonsei University, advised by Prof. Bumsub Ham. My research broadly explores how to make deep learning models more efficient and effective. My earlier work focused on computational efficiency, particularly model quantization and neural architecture search (NAS). More recently, I have extended this direction to large-scale generative models, from accelerating diffusion transformers to improving the generation of diffusion-based large language models. I am also interested in agentic AI, with the goal of building intelligent and autonomous systems that are efficient, scalable, and practical for real-world use.