| Pure transformers are powerful graph learners J Kim, TD Nguyen, S Min, S Cho, M Lee, H Lee, S Hong Advances in Neural Information Processing Systems 35, 2022 | 185 | 2022 |
| Setvae: learning hierarchical composition for generative modeling of set-structured data J Kim, J Yoo, J Lee, S Hong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 88 | 2021 |
| Transformers generalize deepsets and can be extended to graphs and hypergraphs J Kim, S Oh, S Hong Advances in Neural Information Processing Systems 34, 2021 | 48 | 2021 |
| Universal few-shot learning of dense prediction tasks with visual token matching D Kim, J Kim, S Cho, C Luo, S Hong International Conference on Learning Representations, 2023 | 31 | 2023 |
| Spontaneous retinal waves can generate long-range horizontal connectivity in visual cortex J Kim, M Song, J Jang, SB Paik Journal of Neuroscience 40 (34), 6584-6599, 2020 | 29 | 2020 |
| Equivariant hypergraph neural networks J Kim, S Oh, S Cho, S Hong European Conference on Computer Vision, 2022 | 18 | 2022 |
| Learning probabilistic symmetrization for architecture agnostic equivariance J Kim, TD Nguyen, A Suleymanzade, H An, S Hong Advances in Neural Information Processing Systems 36, 2023 | 17 | 2023 |
| Transformers meet stochastic block models: attention with data-adaptive sparsity and cost S Cho, S Min, J Kim, M Lee, H Lee, S Hong Advances in Neural Information Processing Systems 35, 2022 | 2 | 2022 |
| Learning symmetrization for equivariance with orbit distance minimization TD Nguyen, J Kim, H Yang, S Hong NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations, 2023 | 1 | 2023 |
| 3d denoisers are good 2d teachers: molecular pretraining via denoising and cross-modal distillation S Cho, DW Jeong, SM Ko, J Kim, S Han, S Hong, H Lee, M Lee arXiv preprint arXiv:2309.04062, 2023 | 1 | 2023 |
| Simulation-free training of neural odes on paired data S Kim, J Yoo, J Kim, Y Cha, S Kim, S Hong Advances in Neural Information Processing Systems 37, 2024 | | 2024 |
| Revisiting random walks for learning on graphs J Kim, O Zaghen, A Suleymanzade, Y Ryou, S Hong arXiv preprint arXiv:2407.01214, 2024 | | 2024 |
Seunghoon HongAssociate Professor, KAISTVerified email at kaist.ac.kr