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ORCIDJianqing Wu 0002
Person information
- affiliation: Jiangxi University of Science and Technology, School of Information Engineering, Ganzhou, China
- affiliation (former): University of Wollongong, Australia
- affiliation (former): University of Liverpool, Department of computer science, UK
Other persons with the same name
- Jianqing Wu — disambiguation page
- Jianqing Wu 0001
![[0000-0003-2844-6082]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2844-6082")
— University of Nevada Reno, Department of Civil and Environmental Engineering, NV, USA (and 1 more)
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Journal Articles
- 2024
[j12]Bi Wang, Xuelian Li, Yang Chen, Jianqing Wu, Bowen Zeng, Junfu Chen:
Continuous Control With Swarm Intelligence Based Value Function Approximation. IEEE Trans Autom. Sci. Eng. 21(1): 976-988 (2024)- 2023
- [j11]Shuxin Yang, Jianbin Song, Suxin Tong, Yunliang Chen, Guixiang Zhu, Jianqing Wu, Wen Liang:
Extending influence maximization by optimizing the network topology. Expert Syst. Appl. 215: 119349 (2023) - [j10]Dong Lu, Yanlong Zhai, Jun Shen, Mahdi Fahmideh, Jianqing Wu, Jude Tchaye-Kondi, Liehuang Zhu:
TreeNet Based Fast Task Decomposition for Resource-Constrained Edge Intelligence. IEEE Trans. Serv. Comput. 16(3): 2254-2266 (2023) - [j9]Guixiang Zhu, Jie Cao, Lei Chen, Youquan Wang, Zhan Bu, Shuxin Yang, Jianqing Wu, Zhiping Wang:
A Multi-Task Graph Neural Network with Variational Graph Auto-Encoders for Session-Based Travel Packages Recommendation. ACM Trans. Web 17(3): 18:1-18:30 (2023) - 2022
- [j8]Qiang Wu, Jianqing Wu, Jun Shen, Bo Du, Akbar Telikani, Mahdi Fahmideh, Chao Liang:
Distributed agent-based deep reinforcement learning for large scale traffic signal control. Knowl. Based Syst. 241: 108304 (2022) - [j7]Bi Wang, Jianqing Wu, Xuelian Li, Jun Shen, Yangjun Zhong:
Uncertainty quantification for operators in online reinforcement learning. Knowl. Based Syst. 258: 109998 (2022) - [j6]Jianqing Wu, Yihui Wang, Bo Du, Qiang Wu, Yanlong Zhai, Jun Shen, Luping Zhou, Chen Cai, Wei Wei, Qingguo Zhou:
The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays. IEEE Trans. Intell. Transp. Syst. 23(3): 2445-2456 (2022) - 2021
- [j5]Yanlong Zhai, Wenxin Sun, Jianqing Wu, Liehuang Zhu, Jun Shen, Xiaojiang Du, Mohsen Guizani:
An Energy Aware Offloading Scheme for Interdependent Applications in Software-Defined IoV With Fog Computing Architecture. IEEE Trans. Intell. Transp. Syst. 22(6): 3813-3823 (2021) - 2020
- [j4]Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Jianqing Wu, Fucun Li, Qingguo Zhou:
A novel Monte Carlo-based neural network model for electricity load forecasting. Int. J. Embed. Syst. 12(4): 522-533 (2020) - [j3]Jianqing Wu, Qiang Wu, Jun Shen, Chen Cai:
Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys. Sensors 20(12): 3354 (2020) - [j2]Qiang Wu, Jianqing Wu, Jun Shen, Binbin Yong, Qingguo Zhou:
An Edge Based Multi-Agent Auto Communication Method for Traffic Light Control. Sensors 20(15): 4291 (2020) - 2019
- [j1]Qiang Wu, Jun Shen, Binbin Yong, Jianqing Wu, Fucun Li, Jinqiang Wang, Qingguo Zhou:
Smart fog based workflow for traffic control networks. Future Gener. Comput. Syst. 97: 825-835 (2019)
Conference and Workshop Papers
- 2024
- [c8]Shuxin Yang, Zexin Zhang, Bi Wang, Jianqing Wu:
DCS-YOLOv8: An Improved Steel Surface Defect Detection Algorithm Based on YOLOv8. ICIGP 2024: 39-46 - 2022
- [c7]Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu:
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control. ICML 2022: 26645-26654 - 2021
- [c6]Dong Lu, Yanlong Zhai, Jianqing Wu, Jun Shen:
TreeNet: A Hierarchical Deep Learning Model to Facilitate Edge Intelligence for Resource-Constrained Devices. CCGRID 2021: 525-534 - [c5]Qiang Wu, Peng Zhi, Yongqiang Wei, Liang Zhang, Jianqing Wu, Qingguo Zhou, Qiang Zhou, Pengfei Gao:
Communicate with Traffic Lights and Vehicles Based on Multi-Agent Reinforcement Learning. CSCWD 2021: 843-848 - [c4]Wei Wei, Qiang Wu, Jianqing Wu, Bo Du, Jun Shen, Tinghong Li:
Multi-agent deep reinforcement learning for traffic signal control with Nash Equilibrium. HPCC/DSS/SmartCity/DependSys 2021: 1435-1442 - 2019
- [c3]Jianqing Wu, Luping Zhou, Chen Cai, Fang Dong, Jun Shen, Geng Sun:
Towards a General Prediction System for the Primary Delay in Urban Railways. ITSC 2019: 3482-3487 - 2018
- [c2]Fucun Li, Jianqing Wu, Fang Dong, Jiayin Lin, Geng Sun, Huaming Chen, Jun Shen:
Ensemble Machine Learning Systems for the Estimation of Steel Quality Control. IEEE BigData 2018: 2245-2252 - [c1]Jianqing Wu, Luping Zhou, Chen Cai, Jun Shen, Sim Kim Lau, Jianming Yong:
Data Fusion for MaaS: Opportunities and Challenges. CSCWD 2018: 642-647
Informal and Other Publications
- 2022
- [i3]Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Akbar Telikani, Jianqing Wu, Shubin Xie:
DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL. CoRR abs/2211.01025 (2022) - 2021
- [i2]Qiang Wu, Liang Zhang, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu:
Efficient Pressure: Improving efficiency for signalized intersections. CoRR abs/2112.02336 (2021) - [i1]Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Jianqing Wu, Bo Du:
Expression is enough: Improving traffic signal control with advanced traffic state representation. CoRR abs/2112.10107 (2021)
Coauthor Index
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