| Graph2route: A dynamic spatial-temporal graph neural network for pick-up and delivery route prediction H Wen, Y Lin, X Mao, F Wu, Y Zhao, H Wang, J Zheng, L Wu, H Hu, ... Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 18 | 2022 |
| Lade: The first comprehensive last-mile delivery dataset from industry L Wu, H Wen, H Hu, X Mao, Y Xia, E Shan, J Zhen, J Lou, Y Liang, L Yang, ... arXiv preprint arXiv:2306.10675, 2023 | 3 | 2023 |
| Modeling intra-and inter-community information for route and time prediction in last-mile delivery Y Qiang, H Wen, L Wu, X Mao, F Wu, H Wan, H Hu 2023 IEEE 39th International Conference on Data Engineering (ICDE), 3106-3112, 2023 | 3 | 2023 |
| Estimated time of arrival prediction via modeling the spatial-temporal interactions between links and crosses X Mao, T Cai, W Peng, H Wan Proceedings of the 29th International Conference on Advances in Geographic …, 2021 | 3 | 2021 |
| Drl4route: A deep reinforcement learning framework for pick-up and delivery route prediction X Mao, H Wen, H Zhang, H Wan, L Wu, J Zheng, H Hu, Y Lin Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 2 | 2023 |
| GMDNet: A Graph-Based Mixture Density Network for Estimating Packages’ Multimodal Travel Time Distribution X Mao, H Wan, H Wen, F Wu, J Zheng, Y Qiang, S Guo, L Wu, H Hu, Y Lin Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4561-4568, 2023 | 2 | 2023 |
| A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects H Wen, Y Lin, L Wu, X Mao, T Cai, Y Hou, S Guo, Y Liang, G Jin, Y Zhao, ... arXiv preprint arXiv:2309.01194, 2023 | 1 | 2023 |
| LaDe: The First Comprehensive Last-mile Express Dataset from Industry L Wu, H Wen, H Hu, X Mao, Y Xia, E Shan, J Zheng, J Lou, C Song, ... | | 2023 |
Huaiyu Wan (万怀宇)Professor, Beijing Jiaotong UniversityVerified email at bjtu.edu.cn
