| Dynamic and multi-faceted spatio-temporal deep learning for traffic speed forecasting L Han, B Du, L Sun, Y Fu, Y Lv, H Xiong Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 171 | 2021 |
| Deep spatio-temporal graph convolutional network for traffic accident prediction L Yu, B Du, X Hu, L Sun, L Han, W Lv Neurocomputing 423, 135-147, 2021 | 139 | 2021 |
| Landslide susceptibility prediction based on image semantic segmentation B Du, Z Zhao, X Hu, G Wu, L Han, L Sun, Q Gao Computers & Geosciences 155, 104860, 2021 | 40 | 2021 |
| Multi-semantic path representation learning for travel time estimation L Han, B Du, J Lin, L Sun, X Li, Y Peng IEEE Transactions on Intelligent Transportation Systems 23 (8), 13108-13117, 2021 | 12 | 2021 |
| Positive mood-related gut microbiota in a long-term closed environment: a multiomics study based on the “Lunar Palace 365” experiment Z Hao, C Meng, L Li, S Feng, Y Zhu, J Yang, L Han, L Sun, W Lv, D Figeys, ... Microbiome 11 (1), 88, 2023 | 11 | 2023 |
| 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 | 10 | 2023 |
| Continuous-time and multi-level graph representation learning for origin-destination demand prediction L Han, X Ma, L Sun, B Du, Y Fu, W Lv, H Xiong Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 8 | 2022 |
| Dynamic graph learning based on hierarchical memory for origin-destination demand prediction R Zhang, L Han, B Liu, J Zeng, L Sun arXiv preprint arXiv:2205.14593, 2022 | 7 | 2022 |
| 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 |
| Generic and dynamic graph representation learning for crowd flow modeling L Han, R Zhang, L Sun, B Du, Y Fu, T Zhu Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4293-4301, 2023 | 1 | 2023 |
| Bootstrapping on Continuous-Time Dynamic Graphs for Crowd Flow Modeling Y Xu, L Han, L Sun, B Du, C Liu, H Xiong IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
| 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 |
| Regions are Who Walk Them: a Large Pre-trained Spatiotemporal Model Based on Human Mobility for Ubiquitous Urban Sensing R Zhang, L Han, L Sun, Y Liu, J Wang, W Lv arXiv preprint arXiv:2311.10471, 2023 | | 2023 |
| Zoom-Based AutoEncoder for Origin-Destination Demand Prediction X Ma, L Han, G Wang, X Liu, T Zhu Pacific Rim International Conference on Artificial Intelligence, 401-412, 2023 | | 2023 |
| 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 |
| Searching for mood-boosting gut microbes in data from the Lunar Palace 365 experiment Z Hao, C Meng, L Li, S Feng, Y Zhu, J Yang, L Han, L Sun, W Lv, D Figeys, ... | | 2023 |
Leilei SunBeihang UniversityVerified email at buaa.edu.cn
