🤓 About

I finished Master’s from the Graduate School of AI at KAIST, under the supervision of Prof. Juho Lee.

My primary research interest includes:

• Multimodal LLMs, Data-efficient Learning

🎓 Education

• 2022.02 - 2024.02, M.S. in Graduate School of AI, KAIST.

• 2017.02 - 2022.02, B.S. in Computer Science (major) and Industrial Design (minor), KAIST.

💻 Work Experiences

• 2024.02 - 2025.05, AI Research Engineer at NEXON Korea Vision Hack Detect Team, Seongnam, South Korea

• 2021.07 - 2022.02, Undergraduate Research Intern at KAIST, Statistical Inference and Machine Learning Lab, Daejeon, South Korea

• 2020.01 - 2020.02, Undergraduate Research Intern at KAIST, Machine Learning and Intelligence Lab, Daejeon, South Korea

• 2019.07 - 2019.08, Software Enginner Intern at SK Hynix, NAND PE Solution Team, Seongnam, South Korea

📕 Publication

Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion

Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee

ECCV, 2024

Learning to Explore for Stochastic Gradient MCMC

Seunghyun Kim*, Seohyeon Jung*, Seonghyeon Kim, Juho Lee

ICML, 2024

Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee

ICML 2023 Workshop on Challenges in Deployable Generative AI

A Simple Yet Powerful Deep Active Learning with Snapshots Ensembles

Seohyeon Jung, Sanghyun Kim, Juho Lee

ICLR, 2023