| 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 | 1170 | 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 | 481 | 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 | 39 | 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 | 7 | 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 | 3 | 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 | | 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 | | 2023 |
Huaiyu Wan (万怀宇)Professor, Beijing Jiaotong University在 bjtu.edu.cn 的电子邮件经过验证
