Songlei Wang

Orcid: 0000-0003-4063-1694

According to our database1, Songlei Wang authored at least 16 papers between 2022 and 2024.

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Bibliography

2024
SecDR: Enabling Secure, Efficient, and Accurate Data Recovery for Mobile Crowdsensing.
IEEE Trans. Dependable Secur. Comput., 2024

2023
PrigSim: Towards Privacy-Preserving Graph Similarity Search as a Cloud Service.
IEEE Trans. Knowl. Data Eng., October, 2023

SecSkyline: Fast Privacy-Preserving Skyline Queries Over Encrypted Cloud Databases.
IEEE Trans. Knowl. Data Eng., September, 2023

Privacy-Preserving Analytics on Decentralized Social Graphs: The Case of Eigendecomposition.
IEEE Trans. Knowl. Data Eng., July, 2023

PPTA: A location privacy-preserving and flexible task assignment service for spatial crowdsourcing.
Comput. Networks, April, 2023

Privet: A Privacy-Preserving Vertical Federated Learning Service for Gradient Boosted Decision Tables.
IEEE Trans. Serv. Comput., 2023

SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service.
IEEE Trans. Serv. Comput., 2023

MAGO: Maliciously Secure Subgraph Counting on Decentralized Social Graphs.
IEEE Trans. Inf. Forensics Secur., 2023

ObliuSky: Oblivious User-Defined Skyline Query Processing in the Cloud.
CoRR, 2023

2022
Efficient Lane-Level Map Building via Vehicle-Based Crowdsourcing.
IEEE Trans. Intell. Transp. Syst., 2022

PeGraph: A System for Privacy-Preserving and Efficient Search Over Encrypted Social Graphs.
IEEE Trans. Inf. Forensics Secur., 2022

OblivGM: Oblivious Attributed Subgraph Matching as a Cloud Service.
IEEE Trans. Inf. Forensics Secur., 2022

A multiple hierarchical clustering ensemble algorithm to recognize clusters arbitrarily shaped.
Intell. Data Anal., 2022

Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service.
CoRR, 2022

Identification of the proximate geographical origin of wolfberries by two-dimensional correlation spectroscopy combined with deep learning.
Comput. Electron. Agric., 2022

PolarDB-X: An Elastic Distributed Relational Database for Cloud-Native Applications.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022


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