| Generic dynamic graph convolutional network for traffic flow forecasting Y Xu, L Han, T Zhu, L Sun, B Du, W Lv Information Fusion 100, 101946, 2023 | 14 | 2023 |
| Continuous-Time and Discrete-Time Representation Learning for Origin-Destination Demand Prediction Y Xu, L Han, T Zhu, L Sun, B Du, W Lv IEEE Transactions on Intelligent Transportation Systems, 2023 | 2 | 2023 |
| Spatial semantic learning for travel time estimation Y Xu, L Sun, B Du, L Han International Conference on Knowledge Science, Engineering and Management, 15-26, 2022 | 2 | 2022 |
| Multivariate long-term traffic forecasting with graph convolutional network and historical attention mechanism Z Wang, Y Xu, L Han, T Zhu, L Sun International Conference on Knowledge Science, Engineering and Management …, 2023 | 1 | 2023 |
| Multi-Faceted Route Representation Learning for Travel Time Estimation T Liao, L Han, Y Xu, T Zhu, L Sun, B Du IEEE Transactions on Intelligent Transportation Systems, 2024 | | 2024 |
| Temporal-aware structure-semantic-coupled graph network for traffic forecasting M Chen, L Han, Y Xu, T Zhu, J Wang, L Sun Information Fusion, 102339, 2024 | | 2024 |
| Graph Convolutional Network with Gated Multi-mode Fusion for Traffic Forecasting X Ta, L Han, Y Xu, X Liu, G Wang, R Huang 2023 IEEE Smart World Congress (SWC), 1-8, 2023 | | 2023 |
| Sampling Spatial-Temporal Attention Network for Traffic Forecasting M Chen, Y Xu, L Han, L Sun International Conference on Knowledge Science, Engineering and Management …, 2023 | | 2023 |
Liangzhe HanBeihang UniversityVerified email at buaa.edu.cn
