Shunli Zhang
Orcid: 0000-0002-7139-9974
According to our database1,
Shunli Zhang
authored at least 17 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
IEEE Trans. Serv. Comput., 2025
IEEE Trans. Inf. Forensics Secur., 2025
Tensor-based ranking-hiding privacy-preserving scheme for cloud-fog-edge cooperative cyber-physical-social systems.
J. Netw. Comput. Appl., 2025
2024
Efficient and Verifiable Range Query Scheme for Encrypted Geographical Information in Untrusted Cloud Environments.
ISPRS Int. J. Geo Inf., August, 2024
IEEE Trans. Computers, March, 2024
Tensor-Based Forward-Backward Algorithms in the Physics-Informed Coupled Hidden Markov Model.
IEEE Trans. Artif. Intell., March, 2024
An Efficient and Expressive Fully Policy-Hidden Ciphertext-Policy Attribute-Based Encryption Scheme for Satellite Service Systems.
ISPRS Int. J. Geo Inf., 2024
Int. J. Comput. Commun. Control, 2024
2023
Tensor-Based Baum-Welch Algorithms in Coupled Hidden Markov Model for Responsible Activity Prediction.
IEEE Trans. Comput. Soc. Syst., December, 2023
Privacy and Accuracy for Cloud-Fog-Edge Collaborative Driver-Vehicle-Road Relation Graphs.
IEEE Trans. Intell. Transp. Syst., August, 2023
Data-Driven System-Level Design Framework for Responsible Cyber-Physical-Social Systems.
Computer, April, 2023
2021
IEEE Trans. Comput. Soc. Syst., 2021
A tensor-network-based big data fusion framework for Cyber-Physical-Social Systems (CPSS).
Inf. Fusion, 2021
2020
A Tensor-Based Optimization Model for Secure Sustainable Cyber-Physical-Social Big Data Computations.
IEEE Trans. Sustain. Comput., 2020
Differentially Private Tensor Train Decomposition in Edge-Cloud Computing for SDN-Based Internet of Things.
IEEE Internet Things J., 2020
A Novel Range Search Scheme Based on Frequent Computing for Edge-Cloud Collaborative Computing in CPSS.
IEEE Access, 2020
2019
A Tensor-Based Forensics Framework for Virtualized Network Functions in the Internet of Things: Utilizing Tensor Algebra in Facilitating More Efficient Network Forensic Investigations.
IEEE Consumer Electron. Mag., 2019