Ning Wang

28 papers A* 4A 1B 2Misc 3Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enhancing Group Privacy for Effective CIoT Data Mining in 6G Networks Using Differential Privacy.
IEEE Trans. Consumer Electron.
Bo Ning, Xinjian Zhang, Chengfei Liu, Ning Wang, Guanyu Li
2025 J jnl
FELEMN: Toward Efficient Feature-Level Machine Unlearning for Exact Privacy Protection.
IEEE Trans. Knowl. Data Eng.
Zhigang Wang, Yizhen Yu, Mingxin Li, Jian Lou, Ning Wang, Yu Gu, Shen Su, Yuan Liu, Hui Jiang, Zhihong Tian
2025 J jnl
Lightweight Graph Partitioning Enhanced by Implicit Knowledge.
IEEE Trans. Computers
Zhigang Wang, Gongtai Sun, Ning Wang, Lixin Gao, Chuanfei Xu, Yu Gu, Ge Yu, Zhihong Tian
2025 J jnl
Multidimensional categorical data collection under shuffled differential privacy.
Comput. Secur.
Ning Wang, Jian Zhuang, Zhigang Wang, Zhiqiang Wei, Yu Gu, Peng Tang, Ge Yu
2025 — conf
PriTree: Accurate Range Queries via Hierarchical Prefix-Sum Under Local Differential Privacy.
APWeb-WAIM (2)
Shuyi Lang, Peng Tang, Ning Wang, Yipeng Teng, Shanqing Guo
2025 B conf
Query Rewriting-Based View Generation for Efficient Multi-Relation Multi-Query with Differential Privacy.
EDBT
Xinglin Du, Peng Tang, Rui Chen, Ning Wang, Chengyu Hu, Shanqing Guo
2024 J jnl
Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control.
CoRR
Zhigang Wang, Xu Zhang, Ning Wang, Chuanfei Xu, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
2024 J jnl
LR-CNN: Lightweight Row-centric Convolutional Neural Network Training for Memory Reduction.
CoRR
Zhigang Wang, Hangyu Yang, Ning Wang, Chuanfei Xu, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
2024 J jnl
Locally differentially private frequency distribution estimation with relative error optimization.
Frontiers Comput. Sci.
Ning Wang, Yifei Liu, Zhigang Wang, Zhiqiang Wei, Ruichun Tang, Peng Tang, Ge Yu
2024 B conf
Multi-Dimensional Data Collection Under Personalized Local Differential Privacy.
TrustCom
Kunpeng Song, Mingzhang Sun, Kui Zhou, Peng Tang, Ning Wang, Shanqing Guo
2023 J jnl
A lock-free approach to parallelizing personalized PageRank computations on GPU.
Frontiers Comput. Sci.
Zhigang Wang, Ning Wang, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
2023 J jnl
FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning.
IEEE Trans. Parallel Distributed Syst.
Zhigang Wang, Yilei Tu, Ning Wang, Lixin Gao, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
2023 Misc conf
Lazy Machine Unlearning Strategy for Random Forests.
WISA
Nan Sun, Ning Wang, Zhigang Wang, Jie Nie, Zhiqiang Wei, Peishun Liu, Xiaodong Wang, Haipeng Qu
2023 A conf
Lightweight Streaming Graph Partitioning by Fully Utilizing Knowledge from Local View.
ICDCS
Zhigang Wang, Zichao Yang, Ning Wang, Yujie Du, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
2023 A* conf
PrivNUD: Effective Range Query Processing under Local Differential Privacy.
ICDE
Ning Wang, Yaohua Wang, Zhigang Wang, Jie Nie, Zhiqiang Wei, Peng Tang, Yu Gu, Ge Yu
2022 J jnl
Collecting and analyzing key-value data under shuffled differential privacy.
Frontiers Comput. Sci.
Ning Wang, Wei Zheng, Zhigang Wang, Zhiqiang Wei, Yu Gu, Peng Tang, Ge Yu
2021 Misc conf
An Adaptive Sharing Framework for Efficient Multi-source Shortest Path Computation.
WISA
Xinyi Liu, Zhigang Wang, Ning Wang, Xiangtan Li, Bo Zhang, Jun Qiao, Zhiqiang Wei, Jie Nie
2021 Misc conf
Differentially Private Linear Regression Analysis via Truncating Technique.
WISA
Yifei Liu, Ning Wang, Zhigang Wang, Xiaodong Wang, Yun Gao, Xiaopeng Ji, Zhiqiang Wei, Jun Qiao
2021 — conf
DiterGraph: Toward I/O-Efficient Incremental Computation over Large Graphs with Billion Edges.
BigCom
Yujie Du, Zhigang Wang, Ning Wang, Luqing Xie, Zhiqiang Wei
2021 J jnl
Local Differential Privacy-Based Federated Learning for Internet of Things.
IEEE Internet Things J.
Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, Ning Wang, Lingjuan Lyu, Dusit Niyato, Kwok-Yan Lam
2019 A* conf
Collecting and Analyzing Multidimensional Data with Local Differential Privacy.
ICDE
Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu
2019 J jnl
Differentially Private Top-k Frequent Columns Publication for High-Dimensional Data.
IEEE Access
Ning Wang, Zhigang Wang, Yu Gu, Jia Xu, Zhiqiang Wei, Ge Yu
2019 J jnl
Differentially private high-dimensional data publication via grouping and truncating techniques.
Frontiers Comput. Sci.
Ning Wang, Yu Gu, Jia Xu, Fangfang Li, Ge Yu
2019 J jnl
TSH: Easy-to-be distributed partitioning for large-scale graphs.
Future Gener. Comput. Syst.
Ning Wang, Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu
2018 A* conf
PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy.
ICDE
Ning Wang, Xiaokui Xiao, Yin Yang, Ta Duy Hoang, Hyejin Shin, Junbum Shin, Ge Yu
2017 J jnl
Differentially Private Event Histogram Publication on Sequences over Graphs.
J. Comput. Sci. Technol.
Ning Wang, Yu Gu, Jia Xu, Fangfang Li, Ge Yu
2017 A* conf
PrivSuper: A Superset-First Approach to Frequent Itemset Mining under Differential Privacy.
ICDE
Ning Wang, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Yu Gu, Ge Yu
2016 — conf
Effective Privacy Preservation over Composite Events with Markov Correlations.
IEEE WISA
Fangfang Li, Ning Wang, Yu Gu, Zhe Chen