Ting Li

Affiliations:
  • University of North Carolina at Charlotte, Department of Computer Science, Charlotte, NC, USA


According to our database1, Ting Li authored at least 15 papers between 2015 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Fair Incentive Mechanism With Imperfect Quality in Privacy-Preserving Crowdsensing.
IEEE Internet Things J., 2022

2021
Privacy-Preserving Participant Grouping for Mobile Social Sensing Over Edge Clouds.
IEEE Trans. Netw. Sci. Eng., 2021

2020
Scalable Privacy-Preserving Participant Selection for Mobile Crowdsensing Systems: Participant Grouping and Secure Group Bidding.
IEEE Trans. Netw. Sci. Eng., 2020

Recent Advances in Indoor Localization via Visible Lights: A Survey.
Sensors, 2020

An incentive mechanism design for mobile crowdsensing with demand uncertainties.
Inf. Sci., 2020

2019
Dynamic Participant Selection for Large-Scale Mobile Crowd Sensing.
IEEE Trans. Mob. Comput., 2019

A Context-Aware Multiarmed Bandit Incentive Mechanism for Mobile Crowd Sensing Systems.
IEEE Internet Things J., 2019

Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach.
CoRR, 2019

2018
Multi-expertise Aware Participant Selection in Mobile Crowd Sensing via Online Learning.
Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018

Participant Grouping for Privacy Preservation in Mobile Crowdsensing over Hierarchical Edge Clouds.
Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018

Cumulative Participant Selection with Switch Costs in Large-Scale Mobile Crowd Sensing.
Proceedings of the 27th International Conference on Computer Communication and Networks, 2018

2017
Participant selection for data collection through device-to-device communications in mobile sensing.
Pers. Ubiquitous Comput., 2017

Scalable privacy-preserving participant selection in mobile crowd sensing.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications, 2017

2016
Enhancing participant selection through caching in mobile crowd sensing.
Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

2015
Dynamic Participant Recruitment of Mobile Crowd Sensing for Heterogeneous Sensing Tasks.
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015


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