| Attention based spatial-temporal graph convolutional networks for traffic flow forecasting S Guo, Y Lin, N Feng, C Song, H Wan Proceedings of the AAAI conference on artificial intelligence 33 (01), 922-929, 2019 | 1932 | 2019 |
| Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting C Song, Y Lin, S Guo, H Wan Proceedings of the AAAI conference on artificial intelligence 34 (01), 914-921, 2020 | 897 | 2020 |
| Multi-component spatial-temporal graph convolution networks for traffic flow forecasting 冯宁， 郭晟楠， 宋超， 朱琪超， 万怀宇 Journal of Software 30 (3), 759-769, 2019 | 52 | 2019 |
| Package pick-up route prediction via modeling couriers’ spatial-temporal behaviors H Wen, Y Lin, F Wu, H Wan, S Guo, L Wu, C Song, Y Xu 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2141-2146, 2021 | 26 | 2021 |
| Deeproute+: Modeling couriers’ spatial-temporal behaviors and decision preferences for package pick-up route prediction H Wen, Y Lin, H Wan, S Guo, F Wu, L Wu, C Song, Y Xu ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-23, 2022 | 10 | 2022 |
| Enough waiting for the couriers: Learning to estimate package pick-up arrival time from couriers’ spatial-temporal behaviors H Wen, Y Lin, F Wu, H Wan, Z Sun, T Cai, H Liu, S Guo, J Zheng, C Song, ... ACM Transactions on Intelligent Systems and Technology 14 (3), 1-22, 2023 | 5 | 2023 |
| G2ptl: A pre-trained model for delivery address and its applications in logistics system L Wu, J Liu, J Lou, H Hu, J Zheng, H Wen, C Song, S He arXiv preprint arXiv:2304.01559, 2023 | 2 | 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 |
Youfang Lin（林友芳）Beijing Jiaotong UniversityVerified email at bjtu.edu.cn
