Zhengqiu Zhu

Orcid: 0000-0002-5805-834X

According to our database1, Zhengqiu Zhu authored at least 23 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach.
CoRR, 2024

Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation.
CoRR, 2024

2023
Understanding the Necessity and Economic Benefits of Lockdown Measures to Contain COVID-19.
IEEE Trans. Comput. Soc. Syst., August, 2023

Crowd Sensing Intelligence for ITS: Participants, Methods, and Stages.
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

Towards parallel intelligence: an interdisciplinary solution for complex systems.
CoRR, 2023

2022
Crowdsensing Intelligence by Decentralized Autonomous Vehicles Organizations and Operations.
IEEE Trans. Intell. Veh., 2022

A deep reinforcement learning based searching method for source localization.
Inf. Sci., 2022

Crowd-Powered Source Searching in Complex Environments.
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

A cost aware crowdsensing approach for urban air quality sensing and computing.
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


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