Jonghyun Park | Graduate School of AI, KAIST

About Me

I am a M.S. student at KAIST AI, advised by Prof. Jong Chul Ye. I am currently a research intern at the Vector Institute, working with Prof. Yaoliang Yu and Prof. Ricardo Baptista. I earned my B.S. in Naval Architecture and Ocean Engineering and Artificial Intelligence (Double Major) from Seoul National University (SNU) in Feb. 2025.

My research focuses on improving controllability in image and video synthesis, with an emphasis on inverse problem solving and diffusion model training. I believe that mathematical theories help us understand why these models work and provide better intuition for developing future methods and applications.

News

[Feb.2025] I started M.S. at KAIST Graduate School of AI. (Advisor: Prof. Jong Chul Ye)

Publications

[P2&W2] Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models

Taesung Kwon*, Jonghyun Park*, Hyungjin Chung†, Jong Chul Ye†

ICML 2026 workshop on F2S.

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[P1&W1] FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers

Jonghyun Park, Jong Chul Ye

ICML 2026 workshop on RLxF.

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[C3] Tiled Prompts: Overcoming Prompt Underspecification in Image and Video Super-Resolution

Bryan Sangwoo Kim*, Jonghyun Park*, Jong Chul Ye

The 19th European Conference on Computer Vision (ECCV), 2026.

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ICLR

[C2] FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing

Jeongsol Kim*, Yeobin Hong*, Jonghyun Park, Jong Chul Ye

International Conference on Learning Representations (ICLR), 2026.

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ICCAS

[C1] Effective Exploration via Tsallis Actor-Critic on 6D Robot Grasping

Jaeyeon Jeong, Jonghyun Park, Songhwai Oh

The 24th International Conference on Control, Automation, and Systems (ICCAS), 2024.

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