| Attentive neural controlled differential equations for time-series classification and forecasting SY Jhin, H Shin, S Kim, S Hong, M Jo, S Park, N Park, S Lee, H Maeng, ... Knowledge and Information Systems 66 (3), 1885-1915, 2024 | 19 | 2024 |
| Blurring-sharpening process models for collaborative filtering J Choi, S Hong, N Park, SB Cho Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 17 | 2023 |
| GREAD: Graph neural reaction-diffusion networks J Choi, S Hong, N Park, SB Cho International Conference on Machine Learning, 5722-5747, 2023 | 16 | 2023 |
| Gread: graph neural reaction–diffusion equations J Choi, S Hong, N Park, SB Cho arXiv preprint arXiv:2211.14208 2 (8), 2022 | 10 | 2022 |
| Large-scale data-driven airline market influence maximization D Li, J Liu, J Jeon, S Hong, T Le, D Lee, N Park Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 8 | 2021 |
| Prediction-based one-shot dynamic parking pricing S Hong, H Shin, J Choi, N Park Proceedings of the 31st ACM International Conference on Information …, 2022 | 3 | 2022 |
| TimeKit: A time-series forecasting-based upgrade kit for collaborative filtering S Hong, M Jo, S Kook, J Jung, H Wi, N Park, SB Cho 2022 IEEE International Conference on Big Data (Big Data), 565-574, 2022 | 2 | 2022 |
| Perturbation-recovery method for recommendation J Choi, S Hong, N Park, SB Cho arXiv preprint arXiv:2211.09324, 2022 | 1 | 2022 |
| SVD-AE: Simple Autoencoders for Collaborative Filtering S Hong, J Choi, YC Lee, S Kumar, N Park arXiv preprint arXiv:2405.04746, 2024 | | 2024 |
