SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data. - Jinwoo Kim; Jaehoon Yoo; Juho Lee 001; Seunghoon Hong (CVPR, 2021)

Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers. - Jaehoon Yoo; Semin Kim; Doyup Lee; Chiheon Kim; Seunghoon Hong (CVPR, 2023)

A Survey on Air-Gap Attacks: Fundamentals, Transport Means, Attack Scenarios and Challenges. - Jangyong Park; Jaehoon Yoo; Jaehyun Yu; Jiho Lee; JaeSeung Song (Sensors, 2023)

Learning to Compose: Improving Object Centric Learning by Injecting Compositionality. - Whie Jung; Jaehoon Yoo; Sungjin Ahn; Seunghoon Hong (ICLR, 2024)

Simulation-Free Training of Neural ODEs on Paired Data. - Semin Kim; Jaehoon Yoo; Jinwoo Kim; Yeonwoo Cha; Saehoon Kim; Seunghoon Hong (NeurIPS, 2024)

Optical Air-Gap Attacks: Analysis and IoT Threat Implications. - Jieun Lee 002; Jaehoon Yoo; Jiho Lee; Yura Choi; Seong Ki Yoo; JaeSeung Song (IEEE Netw., 2024)

Reward-Agnostic Prompt Optimization for Text-to-Image Diffusion Models. - Semin Kim; Yeonwoo Cha; Jaehoon Yoo; Seunghoon Hong (CoRR, 2025)

ReDi: Rectified Discrete Flow. - Jaehoon Yoo; Wonjung Kim; Seunghoon Hong (CoRR, 2025)