Hui Gao

Orcid: 0000-0003-3654-3202

Affiliations:
  • Beijing University of Posts and Telecommunications, State Key Laboratory of Networking & Switching Technology, China


According to our database1, Hui Gao authored at least 14 papers between 2015 and 2023.

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Timeline

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Bibliography

2023
A UAV-Assisted Multi-Task Allocation Method for Mobile Crowd Sensing.
IEEE Trans. Mob. Comput., July, 2023

Factorized Omnidirectional Representation based Vision GNN for Anisotropic 3D Multimodal MR Image Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2021
A Personalized Search Query Generating Method for Safety-Enhanced Vehicle-to-People Networks.
IEEE Trans. Veh. Technol., 2021

Uncertain data stream algorithm based on clustering RBF neural network.
Microprocess. Microsystems, 2021

2020
A Learning-Based Credible Participant Recruitment Strategy for Mobile Crowd Sensing.
IEEE Internet Things J., 2020

2019
Online Quality-Aware Incentive Mechanism for Mobile Crowd Sensing with Extra Bonus.
IEEE Trans. Mob. Comput., 2019

Pixel-wise depth based intelligent station for inferring fine-grained PM<sub>2.5</sub>.
Future Gener. Comput. Syst., 2019

2018
Hybrid Vehicular Crowdsourcing With Driverless Cars: Challenges and a Solution.
Computer, 2018

Mutual Information Maximization for Collaborative Mobile Sensing with Calibration Constraint.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Ensuring High-Quality Data Collection for Mobile Crowd Sensing.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

A Multi-task Oriented Selection Strategy for Efficient Cooperation of Collocated Mobile Devices.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017

2016
Credible and energy-aware participant selection with limited task budget for mobile crowd sensing.
Ad Hoc Networks, 2016

2015
A Survey of Incentive Mechanisms for Participatory Sensing.
IEEE Commun. Surv. Tutorials, 2015

Maximizing Data Credibility Under Budget Constraint for Participatory Sensing.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015


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