| Short-term prediction for bike-sharing service using machine learning B Wang, I Kim Transportation research procedia 34, 171-178, 2018 | 78 | 2018 |
| Short-term traffic flow prediction in bike-sharing networks B Wang, HL Vu, I Kim, C Cai Journal of intelligent transportation systems 26 (4), 461-475, 2022 | 18 | 2022 |
| Traffic4cast at neurips 2021-temporal and spatial few-shot transfer learning in gridded geo-spatial processes C Eichenberger, M Neun, H Martin, P Herruzo, M Spanring, Y Lu, S Choi, ... NeurIPS 2021 Competitions and Demonstrations Track, 97-112, 2022 | 12 | 2022 |
| Reveal the hidden layer via entity embedding in traffic prediction B Wang, K Shaaban, I Kim Procedia Computer Science 151, 163-170, 2019 | 8 | 2019 |
| Traffic4cast--Large-scale Traffic Prediction using 3DResNet and Sparse-UNet B Wang, R Mohajerpoor, C Cai, I Kim, HL Vu arXiv preprint arXiv:2111.05990, 2021 | 3 | 2021 |
| Revealing the hidden features in traffic prediction via entity embedding B Wang, K Shaaban, I Kim Personal and Ubiquitous Computing 25, 21-31, 2021 | 3 | 2021 |
| Social media application for illegal parking problem B Wang, L Hua, I Kim 17th COTA International Conference of Transportation Professionals, 49-58, 2017 | 2 | 2017 |
| Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction B Wang, AK Qin, S Shafiei, H Dia, AS Mihaita, H Grzybowska 2023 International Joint Conference on Neural Networks (IJCNN), 1-7, 2023 | 1 | 2023 |
| Distributional prediction of short-term traffic using neural networks B Wang, HL Vu, I Kim, C Cai Engineering Applications of Artificial Intelligence 126, 107061, 2023 | | 2023 |
| Short-term traffic prediction using a spatial-temporal CNN model with transfer learning B Wang, I Kim, HL Vu | | |
Inhi KimKAISTVerified email at kaist.ac.kr
