Zhengqiu Zhu
Orcid: 0000-0002-5805-834X
According to our database1,
Zhengqiu Zhu
authored at least 30 papers
between 2017 and 2024.
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Bibliography
2024
Conversational Crowdsensing in the Age of Industry 5.0: A Parallel Intelligence and Large Models Powered Novel Sensing Approach.
IEEE Trans. Comput. Soc. Syst., December, 2024
Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation.
IEEE Trans. Intell. Veh., March, 2024
A Data-driven Crowd Simulation Framework Integrating Physics-informed Machine Learning with Navigation Potential Fields.
CoRR, 2024
Heterogeneous Graph Reinforcement Learning for Dependency-aware Multi-task Allocation in Spatial Crowdsourcing.
CoRR, 2024
CoRR, 2024
Proceedings of the Web Engineering - 24th International Conference, 2024
Proceedings of the Web Engineering - 24th International Conference, 2024
Proceedings of the Web Engineering - 24th International Conference, 2024
2023
Understanding the Necessity and Economic Benefits of Lockdown Measures to Contain COVID-19.
IEEE Trans. Comput. Soc. Syst., August, 2023
IEEE Trans. Intell. Veh., June, 2023
Leveraging Human-AI Collaboration in Crowd-Powered Source Search: A Preliminary Study.
J. Soc. Comput., June, 2023
A Crowd-Aided Vehicular Hybrid Sensing Framework for Intelligent Transportation Systems.
IEEE Trans. Intell. Veh., February, 2023
Simulation of COVID-19 Outbreak in Nanjing Lukou Airport Based on Complex Dynamical Networks.
Complex Syst. Model. Simul., 2023
CoRR, 2023
2022
Crowdsensing Intelligence by Decentralized Autonomous Vehicles Organizations and Operations.
IEEE Trans. Intell. Veh., 2022
Inf. Sci., 2022
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022
2021
A Cost-Quality Beneficial Cell Selection Approach for Sparse Mobile Crowdsensing With Diverse Sensing Costs.
IEEE Internet Things J., 2021
A strategy for autonomous source searching using the Gaussian Mixture Model to fit the estimate of the source location.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
2020
The Gray-Box Based Modeling Approach Integrating Both Mechanism-Model and Data-Model: The Case of Atmospheric Contaminant Dispersion.
Symmetry, 2020
Entrotaxis-Jump as a hybrid search algorithm for seeking an unknown emission source in a large-scale area with road network constraint.
Expert Syst. Appl., 2020
Proceedings of the EM-GIS '20: Proceedings of the 6th ACM SIGSPATIAL International Workshop on Emergency Management using GIS, 2020
2019
A promising searching method 'Entrotaxis-Jump' for seeking hazardous gas source in a chemical cluster.
Proceedings of the EM-GIS '19: Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Chicago, 2019
Chemical cluster environmental protection patrolling game based on cooperation mechanism.
Proceedings of the EM-GIS '19: Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Chicago, 2019
Strategy of hybrid optimization algorithms for source parameters estimation of hazardous gas in field cases.
Proceedings of the EM-GIS '19: Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Chicago, 2019
2018
Playing a Chemical Cluster Environmental Protection Patrolling Game Addressing Atmospheric Contaminants Releases.
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Safety and Resilience, 2018
A Complicated Security Assessment Model Consisting of the SIS Model and Entropy Weight Method for Evaluating the Climate Change.
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Safety and Resilience, 2018
The Air Contaminant Dispersion Prediction by the Integration of the Neural Network and AermodSystem.
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Safety and Resilience, 2018
2017
The GIS-Based Approach for Optimal Design of Air Quality Monitoring Network for Management of Chemical Clusters.
Proceedings of the 3rd ACM SIGSPATIAL Workshop on Emergency Management using, Redondo Beach, CA, USA, November 07, 2017
Real-time data driven simulation of air contaminant dispersion using particle filter and UAV sensory system.
Proceedings of the 21st IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2017