About Me.

I am a graduate student at KAIST VLLAB, where I am fortunate to be advised by Professor Seunghoon Hong. My research interests lie in the advancement of Generative Models, with a specific focus on Flow Matching and Diffusion.

Education

M.S. in Computer Science, KAIST, South Korea, 2025–Present
B.S. in Computer Science and Electronic Engineering (Double Major), KAIST, South Korea, 2021–2025

Publications

Training-Free Refinement of Flow Matching with Divergence-based Sampling

Yeonwoo Cha, Jaehoon Yoo, Semin Kim, Yunseo Park, Jinhyeon Kwon, Seunghoon Hong

arXiv, 2026

arXiv Code Project Page

FlowBind: Efficient Any-to-Any Generation with Bidirectional Flows

Yeonwoo Cha*, Semin Kim*, Jinhyeon Kwon, Seunghoon Hong

ICLR, 2026

* Equal contribution.

arXiv Code Project Page

Reward-Agnostic Prompt Optimization for Text-to-Image Diffusion Models

Semin Kim, Yeonwoo Cha, Jaehoon Yoo, Seunghoon Hong

arXiv, 2025

arXiv Code

Simulation-Free Training of Neural ODEs on Paired Data

Semin Kim, Jaehoon Yoo, Jinwoo Kim, Yeonwoo Cha, Saehoon Kim, Seunghoon Hong

NeurIPS, 2024

arXiv Code

You can also find my articles on my Google Scholar profile.

Teaching

CS101 Introduction to Programming, Teaching Assistant, KAIST, 2022 Fall – 2024 Spring
CS371 Introduction to Deep Learning, Teaching Assistant, KAIST, 2025 Fall

Academic Services

Reviewer: ICLR 2026, CVPR 2026