Ting Li
Orcid: 0000-0001-8548-9965Affiliations:
- Central South University, School of Information Science and Engineering, Changsha, China
According to our database1,
Ting Li
authored at least 16 papers
between 2016 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2022
ATPS: An AI Based Trust-Aware and Privacy-Preserving System for Vehicle Managements in Sustainable VANETs.
IEEE Trans. Intell. Transp. Syst., 2022
DRLR: A Deep-Reinforcement-Learning-Based Recruitment Scheme for Massive Data Collections in 6G-Based IoT Networks.
IEEE Internet Things J., 2022
BPT: A Blockchain-Based Privacy Information Preserving System for Trust Data Collection Over Distributed Mobile-Edge Network.
IEEE Internet Things J., 2022
BTS: A Blockchain-Based Trust System to Deter Malicious Data Reporting in Intelligent Internet of Things.
IEEE Internet Things J., 2022
Trust data collections via vehicles joint with unmanned aerial vehicles in the smart Internet of Things.
Trans. Emerg. Telecommun. Technol., 2022
2021
Peer-to-Peer Netw. Appl., 2021
A trustworthiness-based vehicular recruitment scheme for information collections in Distributed Networked Systems.
Inf. Sci., 2021
2020
Machine learning based code dissemination by selection of reliability mobile vehicles in 5G networks.
Comput. Commun., 2020
2019
Gait recognition method of temporal-spatial HOG features in critical separation of Fourier correction points.
Future Gener. Comput. Syst., 2019
Optimizing the Coverage via the UAVs With Lower Costs for Information-Centric Internet of Things.
IEEE Access, 2019
2018
DDSV: Optimizing Delay and Delivery Ratio for Multimedia Big Data Collection in Mobile Sensing Vehicles.
IEEE Internet Things J., 2018
Reliable Code Disseminations Through Opportunistic Communication in Vehicular Wireless Networks.
IEEE Access, 2018
IEEE Access, 2018
2017
IEEE Access, 2017
IEEE Access, 2017
2016
A Similarity Scenario-Based Recommendation Model With Small Disturbances for Unknown Items in Social Networks.
IEEE Access, 2016