| 2025 | CVPR | Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models. | Sangwon Jang, June Suk Choi, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang |
| 2024 | ICLR | DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models. | Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang |
| 2024 | ICML | Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes. | Jaehyeong Jo, Sung Ju Hwang |
| 2024 | ICML | Graph Generation with Diffusion Mixture. | Jaehyeong Jo, Dongki Kim, Sung Ju Hwang |
| 2023 | ICCV | Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. | Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang |
| 2023 | ICML | Exploring Chemical Space with Score-based Out-of-distribution Generation. | Seul Lee, Jaehyeong Jo, Sung Ju Hwang |
| 2022 | ICML | Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations. | Jaehyeong Jo, Seul Lee, Sung Ju Hwang |