Jianqing Wu
Jianqing Wu
Jiangxi University of Science and Technology
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Cited by
Cited by
Distributed agent-based deep reinforcement learning for large scale traffic signal control
Q Wu, J Wu, J Shen, B Du, A Telikani, M Fahmideh, C Liang
Knowledge-based systems 241, 108304, 2022
Smart fog based workflow for traffic control networks
Q Wu, J Shen, B Yong, J Wu, F Li, J Wang, Q Zhou
Future Generation Computer Systems 97, 825-835, 2019
Ensemble machine learning systems for the estimation of steel quality control
F Li, J Wu, F Dong, J Lin, G Sun, H Chen, J Shen
2018 IEEE International Conference on Big Data (Big Data), 2245-2252, 2018
An energy aware offloading scheme for interdependent applications in software-defined IoV with fog computing architecture
Y Zhai, W Sun, J Wu, L Zhu, J Shen, X Du, M Guizani
IEEE Transactions on Intelligent Transportation Systems 22 (6), 3813-3823, 2020
A secure traffic police remote sensing approach via a deep learning-based low-altitude vehicle speed detector through uavs in smart cites: Algorithm, implementation and evaluation
AJ Moshayedi, AS Roy, A Taravet, L Liao, J Wu, M Gheisari
Future transportation 3 (1), 189-209, 2023
Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys
J Wu, Q Wu, J Shen, C Cai
Sensors 20 (12), 3354, 2020
SATP-GAN: Self-attention based generative adversarial network for traffic flow prediction
L Zhang, J Wu, J Shen, M Chen, R Wang, X Zhou, C Xu, Q Yao, Q Wu
Transportmetrica B: Transport Dynamics 9 (1), 552-568, 2021
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
L Zhang, Q Wu, J Shen, L Lü, B Du, J Wu
International Conference on Machine Learning, 26645-26654, 2022
An Edge Based Multi-Agent Auto Communication Method for Traffic Light Control
Q Wu, J Wu, J Shen, B Yong, Q Zhou
Sensors 20 (15), 4291, 2020
Towards a general prediction system for the primary delay in urban railways
J Wu, L Zhou, C Cai, F Dong, J Shen, G Sun
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3482-3487, 2019
The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays
J Wu, Y Wang, B Du, Q Wu, Y Zhai, J Shen, L Zhou, C Cai, W Wei, Q Zhou
IEEE Transactions on Intelligent Transportation Systems 23 (3), 2445 - 2456, 2022
Data fusion for MaaS: Opportunities and challenges
J Wu, L Zhou, C Cai, J Shen, SK Lau, J Yong
2018 IEEE 22nd International Conference on Computer Supported Cooperative …, 2018
A multi-task graph neural network with variational graph auto-encoders for session-based travel packages recommendation
G Zhu, J Cao, L Chen, Y Wang, Z Bu, S Yang, J Wu, Z Wang
ACM Transactions on the Web 17 (3), 1-30, 2023
A GTFS data acquisition and processing framework and its application to train delay prediction
J Wu, B Du, Z Gong, Q Wu, J Shen, L Zhou, C Cai
International Journal of Transportation Science and Technology 12 (1), 201-216, 2023
A study on the dependability of software defined networks
J Wu, Y Huang, J Kong, Q Tang, X Huang
2015 International Conference on Materials Engineering and Information …, 2015
Extending influence maximization by optimizing the network topology
S Yang, J Song, S Tong, Y Chen, G Zhu, J Wu, W Liang
Expert Systems with Applications 215, 119349, 2023
A novel Monte Carlo-based neural network model for electricity load forecasting
B Yong, Z Xu, J Shen, H Chen, J Wu, F Li, Q Zhou
International Journal of Embedded Systems 12 (4), 522-533, 2020
Multi-agent deep reinforcement learning for traffic signal control with Nash Equilibrium
W Wei, Q Wu, J Wu, B Du, J Shen, T Li
2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th …, 2021
A hybrid LSTM-CPS approach for long-term prediction of train delays in multivariate time series
J Wu, B Du, Q Wu, J Shen, L Zhou, C Cai, Y Zhai, W Wei, Q Zhou
Future Transportation 1 (3), 765-776, 2021
Communicate with traffic lights and vehicles based on multi-agent reinforcement learning
Q Wu, P Zhi, Y Wei, L Zhang, J Wu, Q Zhou, Q Zhou, P Gao
2021 IEEE 24th International Conference on Computer Supported Cooperative …, 2021
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