Sanghyun Lee

Hello, I'm Sanghyun Lee

I am an Integrated MS-PhD Student at KAIST CVLAB, advised by Seungryong Kim. I am broadly interested in diffusion models, with a current focus on discrete diffusion models for text generation. On the inference side, I am particularly interested in test-time scaling, efficiently scaling compute at inference time. Separately, on the training side, I am drawn to modeling, designing architectures and formulations that make these capabilities possible.

I received my BS from KAIST in 2025.

Experience

Krafton

Research Intern, Foundation Research Team.

Jun 2025 - Apr 2026
Seoul, Korea

Education

Korea Advanced Institute of Science and Technology (KAIST)

Integrated M.S.-Ph.D., Graduate School of AI. Advised by Seungryong Kim.

Sep 2025 - Present

Korea Advanced Institute of Science and Technology (KAIST)

B.S. in Electronic Engineering.

Mar 2019 - Sep 2025

Publications

Fine-Grained Perturbation Guidance via Attention Head Selection

Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Minjae Kim, Jaewon Min, Wooseok Jang, Saungwu Lee, Sayak Paul, Susung Hong, Seungryong Kim

NeurIPS, 2025

A Noise Is Worth Diffusion Guidance

Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Jaewon Min, Minjae Kim, Wooseok Jang, Hyoungwon Cho, Sayak Paul, SeonHwa Kim, Eunju Cha, Kyong Hwan Jin, Seungryong Kim

ICLR, 2024