| Graph Neural Controlled Differential Equations for Traffic Forecasting J Choi, H Choi, J Hwang, N Park Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6367-6374, 2022 | 164 | 2022 |
| Linear, or non-linear, that is the question! T Kong, T Kim, J Jeon, J Choi, YC Lee, N Park, SW Kim Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 42 | 2022 |
| GREAD: Graph neural reaction-diffusion networks J Choi, S Hong, N Park, SB Cho International Conference on Machine Learning, 5722-5747, 2023 | 25* | 2023 |
| LT-OCF: Learnable-Time ODE-based Collaborative Filtering J Choi, J Jeon, N Park Proceedings of the 30th ACM International Conference on Information …, 2021 | 25 | 2021 |
| Climate modeling with neural diffusion equations J Hwang, J Choi, H Choi, K Lee, D Lee, N Park 2021 IEEE International Conference on Data Mining (ICDM), 230-239, 2021 | 19 | 2021 |
| 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 | 15 | 2023 |
| Climate modeling with neural advection–diffusion equation H Choi, J Choi, J Hwang, K Lee, D Lee, N Park Knowledge and Information Systems 65 (6), 2403-2427, 2023 | 11 | 2023 |
| Graph neural rough differential equations for traffic forecasting J Choi, N Park ACM Transactions on Intelligent Systems and Technology 14 (4), 1-27, 2023 | 5 | 2023 |
| 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 | 4 | 2022 |
| Time Series Forecasting with Hypernetworks Generating Parameters in Advance J Lee, C Kim, G Lee, H Lim, J Choi, K Lee, D Lee, S Hong, N Park arXiv preprint arXiv:2211.12034, 2022 | 2 | 2022 |
| Bayesian Optimization Framework for Cross-Version Defect Prediction J Choi, R Duksan Proceedings of the 23rd Korea Conference on Software Engineering (KCSE), 63-72, 2021 | 2 | 2021 |
| Iceberg-ship Classification in SAR Images Using Convolutional Neural Network with Transfer Learning J Choi Journal of Internet Computing and Services 19 (4), 35-44, 2018 | 2 | 2018 |
| An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention Y Shin, J Choi, H Wi, N Park Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8984-8992, 2024 | 1 | 2024 |
| RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation J Choi, H Wi, C Lee, SB Cho, D Lee, N Park arXiv preprint arXiv:2312.16563, 2023 | 1 | 2023 |
| Graph Convolutions Enrich the Self-Attention in Transformers! J Choi, H Wi, J Kim, Y Shin, K Lee, N Trask, N Park arXiv preprint arXiv:2312.04234, 2023 | 1 | 2023 |
| Self-Supervised Learning Using Feature Subsets of Software Defect Data 최정환， 류덕산 한국정보과학회 학술발표논문집, 203-205, 2021 | 1* | 2021 |
| Prediction Techniques for Difficulty Level of Hanja Using Multiple Linear Regression J Choi, J Noh, S Kim The Journal of The Institute of Internet, Broadcasting and Communication 19 …, 2019 | 1 | 2019 |
| Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer YY Yu, J Choi, W Cho, K Lee, N Kim, K Chang, CS Woo, I Kim, SW Lee, ... arXiv preprint arXiv:2312.12467, 2023 | | 2023 |
| Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations S Lim, J Park, S Kim, H Wi, H Lim, J Jeon, J Choi, N Park 2023 IEEE International Conference on Big Data (BigData), 748-757, 2023 | | 2023 |
| Polynomial-based Self-Attention for Table Representation learning J Kim, Y Shin, J Choi, H Wi, N Park arXiv preprint arXiv:2312.07753, 2023 | | 2023 |
Noseong ParkTenured Associate Professor, KAISTVerifierad e-postadress på kaist.ac.kr
