| Score-based generative modeling of graphs via the system of stochastic differential equations J Jo, S Lee, SJ Hwang International Conference on Machine Learning, 10362-10383, 2022 | 220 | 2022 |
| Edge Representation Learning with Hypergraphs J Jo, J Baek, S Lee, D Kim, M Kang, SJ Hwang Advances in Neural Information Processing Systems 34, 7534-7546, 2021 | 61 | 2021 |
| Exploring chemical space with score-based out-of-distribution generation S Lee, J Jo, SJ Hwang International Conference on Machine Learning, 18872-18892, 2023 | 50 | 2023 |
| Graph Generation with Diffusion Mixture J Jo, D Kim, SJ Hwang arXiv preprint arXiv:2302.03596, 2023 | 19* | 2023 |
| DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models S An, H Lee, J Jo, S Lee, SJ Hwang arXiv preprint arXiv:2305.16943, 2023 | 8 | 2023 |
| Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models S Jang, J Jo, K Lee, SJ Hwang arXiv preprint arXiv:2404.04243, 2024 | 6 | 2024 |
| Text-conditioned sampling framework for text-to-image generation with masked generative models J Lee, S Jang, J Jo, J Yoon, Y Kim, JH Kim, JW Ha, SJ Hwang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
| Antibody-SGM: Antigen-Specific Joint Design of Antibody Sequence and Structure using Diffusion Models X Xie, JS Lee, D Kim, J Jo, J Kim, PM Kim The 2023 ICML Workshop on Computational Biology, 2023 | 4 | 2023 |
| Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes J Jo, SJ Hwang arXiv preprint arXiv:2310.07216, 2023 | 2 | 2023 |
| Conditional Synthesis of 3D Molecules with Time Correction Sampler H Jung, Y Park, L Schmid, J Jo, D Lee, B Kim, SY Yun, J Shin arXiv preprint arXiv:2411.00551, 2024 | | 2024 |
Sung Ju HwangKAIST, DeepAutoVerified email at kaist.ac.kr
