Jianqing Wu

According to our database, Jianqing Wu authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Continuous Control With Swarm Intelligence Based Value Function Approximation.

Bi Wang, Xuelian Li, Yang Chen, Jianqing Wu, Bowen Zeng, Junfu Chen

IEEE Trans Autom. Sci. Eng., January, 2024

DCS-YOLOv8: An Improved Steel Surface Defect Detection Algorithm Based on YOLOv8.

Shuxin Yang, Zexin Zhang, Bi Wang, Jianqing Wu

Proceedings of the 7th International Conference on Image and Graphics Processing, 2024

2023

A Multi-Task Graph Neural Network with Variational Graph Auto-Encoders for Session-Based Travel Packages Recommendation.

Guixiang Zhu, Jie Cao, Lei Chen, Youquan Wang, Zhan Bu, Shuxin Yang, Jianqing Wu, Zhiping Wang

ACM Trans. Web, August, 2023

Extending influence maximization by optimizing the network topology.

Shuxin Yang, Jianbin Song, Suxin Tong, Yunliang Chen, Guixiang Zhu, Jianqing Wu, Wen Liang

Expert Syst. Appl., April, 2023

TreeNet Based Fast Task Decomposition for Resource-Constrained Edge Intelligence.

Dong Lu, Yanlong Zhai, Jun Shen, Mahdi Fahmideh, Jianqing Wu, Jude Tchaye-Kondi, Liehuang Zhu

IEEE Trans. Serv. Comput., 2023

2022

The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays.

Jianqing Wu, Yihui Wang, Bo Du, Qiang Wu, Yanlong Zhai, Jun Shen, Luping Zhou, Chen Cai, Wei Wei, Qingguo Zhou

IEEE Trans. Intell. Transp. Syst., 2022

Distributed agent-based deep reinforcement learning for large scale traffic signal control.

Qiang Wu, Jianqing Wu, Jun Shen, Bo Du, Akbar Telikani, Mahdi Fahmideh, Chao Liang

Knowl. Based Syst., 2022

Uncertainty quantification for operators in online reinforcement learning.

Bi Wang, Jianqing Wu, Xuelian Li, Jun Shen, Yangjun Zhong

Knowl. Based Syst., 2022

DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL.

Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Akbar Telikani, Jianqing Wu, Shubin Xie

CoRR, 2022

Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control.

Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu

Proceedings of the International Conference on Machine Learning, 2022

2021

An Energy Aware Offloading Scheme for Interdependent Applications in Software-Defined IoV With Fog Computing Architecture.

Yanlong Zhai, Wenxin Sun, Jianqing Wu, Liehuang Zhu, Jun Shen, Xiaojiang Du, Mohsen Guizani

IEEE Trans. Intell. Transp. Syst., 2021

Expression is enough: Improving traffic signal control with advanced traffic state representation.

Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Jianqing Wu, Bo Du

CoRR, 2021

Efficient Pressure: Improving efficiency for signalized intersections.

Qiang Wu, Liang Zhang, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu

CoRR, 2021

Multi-agent deep reinforcement learning for traffic signal control with Nash Equilibrium.

Wei Wei, Qiang Wu, Jianqing Wu, Bo Du, Jun Shen, Tinghong Li

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Communicate with Traffic Lights and Vehicles Based on Multi-Agent Reinforcement Learning.

Qiang Wu, Peng Zhi, Yongqiang Wei, Liang Zhang, Jianqing Wu, Qingguo Zhou, Qiang Zhou, Pengfei Gao

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

TreeNet: A Hierarchical Deep Learning Model to Facilitate Edge Intelligence for Resource-Constrained Devices.

Dong Lu, Yanlong Zhai, Jianqing Wu, Jun Shen

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

An Edge Based Multi-Agent Auto Communication Method for Traffic Light Control.

Qiang Wu, Jianqing Wu, Jun Shen, Binbin Yong, Qingguo Zhou

Sensors, 2020

Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys.

Jianqing Wu, Qiang Wu, Jun Shen, Chen Cai

Sensors, 2020

A novel Monte Carlo-based neural network model for electricity load forecasting.

Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Jianqing Wu, Fucun Li, Qingguo Zhou

Int. J. Embed. Syst., 2020

2019

Smart fog based workflow for traffic control networks.

Qiang Wu, Jun Shen, Binbin Yong, Jianqing Wu, Fucun Li, Jinqiang Wang, Qingguo Zhou

Future Gener. Comput. Syst., 2019

Towards a General Prediction System for the Primary Delay in Urban Railways.

Jianqing Wu, Luping Zhou, Chen Cai, Fang Dong, Jun Shen, Geng Sun

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

Data Fusion for MaaS: Opportunities and Challenges.

Jianqing Wu, Luping Zhou, Chen Cai, Jun Shen, Sim Kim Lau, Jianming Yong

Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

Ensemble Machine Learning Systems for the Estimation of Steel Quality Control.

Fucun Li, Jianqing Wu, Fang Dong, Jiayin Lin, Geng Sun, Huaming Chen, Jun Shen

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018