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Shengnan Guo
Shengnan Guo
在 bjtu.edu.cn 的电子邮件经过验证 - 首页
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引用次数
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年份
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
20702019
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
9742020
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
3702019
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
3442021
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
852020
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
762021
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
662021
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
532019
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
272022
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
272021
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
172021
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
112022
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
102024
Contrastive pre-training of spatial-temporal trajectory embeddings
Y Lin, H Wan, S Guo, Y Lin
arXiv preprint arXiv:2207.14539, 2022
72022
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
72019
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
62023
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
62023
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
42023
Diff-rntraj: A structure-aware diffusion model for road network-constrained trajectory generation
T Wei, Y Lin, S Guo, Y Lin, Y Huang, C Xiang, Y Bai, M Ya, H Wan
arXiv preprint arXiv:2402.07369, 2024
32024
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
32023
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