Jianqing Wu

Orcid: 0000-0001-7198-4199

Affiliations:
  • Jiangxi University of Science and Technology, School of Information Engineering, Ganzhou, China
  • University of Wollongong, Australia (former)
  • University of Liverpool, Department of computer science, UK (former)


According to our database1, Jianqing Wu authored at least 23 papers between 2018 and 2024.

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Bibliography

2024
Continuous Control With Swarm Intelligence Based Value Function Approximation.
IEEE Trans Autom. Sci. Eng., January, 2024

DCS-YOLOv8: An Improved Steel Surface Defect Detection Algorithm Based on YOLOv8.
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.
ACM Trans. Web, August, 2023

Extending influence maximization by optimizing the network topology.
Expert Syst. Appl., April, 2023

TreeNet Based Fast Task Decomposition for Resource-Constrained Edge Intelligence.
IEEE Trans. Serv. Comput., 2023

2022
The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays.
IEEE Trans. Intell. Transp. Syst., 2022

Distributed agent-based deep reinforcement learning for large scale traffic signal control.
Knowl. Based Syst., 2022

Uncertainty quantification for operators in online reinforcement learning.
Knowl. Based Syst., 2022

DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL.
CoRR, 2022

Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control.
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.
IEEE Trans. Intell. Transp. Syst., 2021

Expression is enough: Improving traffic signal control with advanced traffic state representation.
CoRR, 2021

Efficient Pressure: Improving efficiency for signalized intersections.
CoRR, 2021

Multi-agent deep reinforcement learning for traffic signal control with Nash Equilibrium.
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.
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.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020
An Edge Based Multi-Agent Auto Communication Method for Traffic Light Control.
Sensors, 2020

Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys.
Sensors, 2020

A novel Monte Carlo-based neural network model for electricity load forecasting.
Int. J. Embed. Syst., 2020

2019
Smart fog based workflow for traffic control networks.
Future Gener. Comput. Syst., 2019

Towards a General Prediction System for the Primary Delay in Urban Railways.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Data Fusion for MaaS: Opportunities and Challenges.
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.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018


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