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Bowen Du
Bowen Du
Verified email at buaa.edu.cn
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Year
Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting
H Peng, H Wang, B Du, MZA Bhuiyan, H Ma, J Liu, L Wang, Z Yang, L Du, ...
Information Sciences 521, 277-290, 2020
3192020
Deep irregular convolutional residual LSTM for urban traffic passenger flows prediction
B Du, H Peng, S Wang, MZA Bhuiyan, L Wang, Q Gong, L Liu, J Li
IEEE Transactions on Intelligent Transportation Systems 21 (3), 972-985, 2019
2822019
Dynamic and multi-faceted spatio-temporal deep learning for traffic speed forecasting
L Han, B Du, L Sun, Y Fu, Y Lv, H Xiong
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
2492021
Parallel architecture of convolutional bi-directional LSTM neural networks for network-wide metro ridership prediction
X Ma, J Zhang, B Du, C Ding, L Sun
IEEE Transactions on Intelligent Transportation Systems 20 (6), 2278-2288, 2018
1882018
Deep spatio-temporal graph convolutional network for traffic accident prediction
L Yu, B Du, X Hu, L Sun, L Han, W Lv
Neurocomputing 423, 135-147, 2021
1852021
Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning
H Peng, B Du, M Liu, M Liu, S Ji, S Wang, X Zhang, L He
Information Sciences 578, 401-416, 2021
1842021
Coupled layer-wise graph convolution for transportation demand prediction
J Ye, L Sun, B Du, Y Fu, H Xiong
Proceedings of the AAAI conference on artificial intelligence 35 (5), 4617-4625, 2021
1632021
Co-prediction of multiple transportation demands based on deep spatio-temporal neural network
J Ye, L Sun, B Du, Y Fu, X Tong, H Xiong
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
1532019
Dynamic spatial-temporal representation learning for traffic flow prediction
L Liu, J Zhen, G Li, G Zhan, Z He, B Du, L Lin
IEEE Transactions on Intelligent Transportation Systems 22 (11), 7169-7183, 2020
1402020
Dynamic pricing in spatial crowdsourcing: A matching-based approach
Y Tong, L Wang, Z Zhou, L Chen, B Du, J Ye
Proceedings of the 2018 international conference on management of data, 773-788, 2018
1242018
Adaptive spatio-temporal graph neural network for traffic forecasting
X Ta, Z Liu, X Hu, L Yu, L Sun, B Du
Knowledge-based systems 242, 108199, 2022
982022
Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model
L Li, B Du, Y Wang, L Qin, H Tan
Knowledge-Based Systems 194, 105592, 2020
962020
LSTM variants meet graph neural networks for road speed prediction
Z Lu, W Lv, Y Cao, Z Xie, H Peng, B Du
Neurocomputing 400, 34-45, 2020
862020
Learning the evolutionary and multi-scale graph structure for multivariate time series forecasting
J Ye, Z Liu, B Du, L Sun, W Li, Y Fu, H Xiong
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
852022
S-net: From answer extraction to answer synthesis for machine reading comprehension
C Tan, F Wei, N Yang, B Du, W Lv, M Zhou
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
842018
Towards better dynamic graph learning: New architecture and unified library
L Yu, L Sun, B Du, W Lv
Advances in Neural Information Processing Systems 36, 67686-67700, 2023
802023
Catch me if you can: Detecting pickpocket suspects from large-scale transit records
B Du, C Liu, W Zhou, Z Hou, H Xiong
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
802016
Real-time traffic incident detection based on a hybrid deep learning model
L Li, Y Lin, B Du, F Yang, B Ran
Transportmetrica A: transport science 18 (1), 78-98, 2022
782022
Sequential graph neural network for urban road traffic speed prediction
Z Xie, W Lv, S Huang, Z Lu, B Du, R Huang
IEEE Access 8, 63349-63358, 2019
782019
Attentive crowd flow machines
L Liu, R Zhang, J Peng, G Li, B Du, L Lin
Proceedings of the 26th ACM international conference on Multimedia, 1553-1561, 2018
782018
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Articles 1–20