| 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 | 1930 | 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 | 895 | 2020 |
| Deep spatial–temporal 3D convolutional neural networks for traffic data forecasting S Guo, Y Lin, S Li, Z Chen, H Wan IEEE Transactions on Intelligent Transportation Systems 20 (10), 3913-3926, 2019 | 356 | 2019 |
| Learning dynamics and heterogeneity of spatial-temporal graph data for traffic forecasting S Guo, Y Lin, H Wan, X Li, G Cong IEEE Transactions on Knowledge and Data Engineering 34 (11), 5415-5428, 2021 | 309 | 2021 |
| CTS-LSTM: LSTM-based neural networks for correlatedtime series prediction H Wan, S Guo, K Yin, X Liang, Y Lin Knowledge-Based Systems 191, 105239, 2020 | 81 | 2020 |
| Pre-training context and time aware location embeddings from spatial-temporal trajectories for user next location prediction Y Lin, H Wan, S Guo, Y Lin Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4241-4248, 2021 | 67 | 2021 |
| GSNet: Learning spatial-temporal correlations from geographical and semantic aspects for traffic accident risk forecasting B Wang, Y Lin, S Guo, H Wan Proceedings of the AAAI conference on artificial intelligence 35 (5), 4402-4409, 2021 | 59 | 2021 |
| 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 |
| Building and exploiting spatial–temporal knowledge graph for next POI recommendation W Chen, H Wan, S Guo, H Huang, S Zheng, J Li, S Lin, Y Lin Knowledge-Based Systems 258, 109951, 2022 | 24 | 2022 |
| Pre-training time-aware location embeddings from spatial-temporal trajectories H Wan, Y Lin, S Guo, Y Lin IEEE Transactions on Knowledge and Data Engineering 34 (11), 5510-5523, 2021 | 14 | 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 |
| Learning time-aware distributed representations of locations from spatio-temporal trajectories H Wan, F Li, S Guo, Z Cao, Y Lin Database Systems for Advanced Applications: DASFAA 2019 International …, 2019 | 7 | 2019 |
| 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 |
| Self-supervised spatial-temporal bottleneck attentive network for efficient long-term traffic forecasting S Guo, Y Lin, L Gong, C Wang, Z Zhou, Z Shen, Y Huang, H Wan 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1585-1596, 2023 | 5 | 2023 |
| Contrastive pre-training of spatial-temporal trajectory embeddings Y Lin, H Wan, S Guo, Y Lin arXiv preprint arXiv:2207.14539, 2022 | 4 | 2022 |
| Origin-destination travel time oracle for map-based services Y Lin, H Wan, J Hu, S Guo, B Yang, Y Lin, CS Jensen Proceedings of the ACM on Management of Data 1 (3), 1-27, 2023 | 3 | 2023 |
| Witran: Water-wave information transmission and recurrent acceleration network for long-range time series forecasting Y Jia, Y Lin, X Hao, Y Lin, S Guo, H Wan Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding Y Lin, H Wan, S Guo, J Hu, CS Jensen, Y Lin IEEE Transactions on Knowledge and Data Engineering, 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 |
Huaiyu Wan (万怀宇)Professor, Beijing Jiaotong UniversityVerified email at bjtu.edu.cn
