Ning Wang

Orcid: 0000-0001-9698-7310

Affiliations:
  • Guangzhou University, Guangzhou, Guangdong, China


According to our database1, Ning Wang authored at least 25 papers between 2016 and 2025.

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Bibliography

2025
Enhancing Group Privacy for Effective CIoT Data Mining in 6G Networks Using Differential Privacy.
IEEE Trans. Consumer Electron., May, 2025

Multidimensional categorical data collection under shuffled differential privacy.
Comput. Secur., 2025

Query Rewriting-Based View Generation for Efficient Multi-Relation Multi-Query with Differential Privacy.
Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

2024
Locally differentially private frequency distribution estimation with relative error optimization.
Frontiers Comput. Sci., October, 2024

LR-CNN: Lightweight Row-centric Convolutional Neural Network Training for Memory Reduction.
CoRR, 2024

Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control.
CoRR, 2024

Multi-Dimensional Data Collection Under Personalized Local Differential Privacy.
Proceedings of the 23rd IEEE International Conference on Trust, 2024

2023
FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning.
IEEE Trans. Parallel Distributed Syst., February, 2023

A lock-free approach to parallelizing personalized PageRank computations on GPU.
Frontiers Comput. Sci., 2023

PrivNUD: Effective Range Query Processing under Local Differential Privacy.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Lightweight Streaming Graph Partitioning by Fully Utilizing Knowledge from Local View.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Lazy Machine Unlearning Strategy for Random Forests.
Proceedings of the Web Information Systems and Applications, 2023

2022
Collecting and analyzing key-value data under shuffled differential privacy.
Frontiers Comput. Sci., 2022

2021
Local Differential Privacy-Based Federated Learning for Internet of Things.
IEEE Internet Things J., 2021

DiterGraph: Toward I/O-Efficient Incremental Computation over Large Graphs with Billion Edges.
Proceedings of the 7th International Conference on Big Data Computing and Communications, 2021

Differentially Private Linear Regression Analysis via Truncating Technique.
Proceedings of the Web Information Systems and Applications, 2021

An Adaptive Sharing Framework for Efficient Multi-source Shortest Path Computation.
Proceedings of the Web Information Systems and Applications, 2021

2019
TSH: Easy-to-be distributed partitioning for large-scale graphs.
Future Gener. Comput. Syst., 2019

Differentially private high-dimensional data publication via grouping and truncating techniques.
Frontiers Comput. Sci., 2019

Differentially Private Top-k Frequent Columns Publication for High-Dimensional Data.
IEEE Access, 2019

Collecting and Analyzing Multidimensional Data with Local Differential Privacy.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Differentially Private Event Histogram Publication on Sequences over Graphs.
J. Comput. Sci. Technol., 2017

PrivSuper: A Superset-First Approach to Frequent Itemset Mining under Differential Privacy.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Effective Privacy Preservation over Composite Events with Markov Correlations.
Proceedings of the 13th Web Information Systems and Applications Conference, 2016


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