Effective Privacy Preservation over Composite Events with Markov Correlations. - Fangfang Li 002; Ning Wang 026; Yu Gu 002; Zhe Chen (IEEE WISA, 2016)

PrivSuper: A Superset-First Approach to Frequent Itemset Mining under Differential Privacy. - Ning Wang 026; Xiaokui Xiao; Yin Yang 001; Zhenjie Zhang; Yu Gu 002; Ge Yu 001 (ICDE, 2017)

Differentially Private Event Histogram Publication on Sequences over Graphs. - Ning Wang 026; Yu Gu 002; Jia Xu 005; Fangfang Li 002; Ge Yu 001 (J. Comput. Sci. Technol., 2017)

PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy. - Ning Wang 026; Xiaokui Xiao; Yin Yang 001; Ta Duy Hoang; Hyejin Shin; Junbum Shin; Ge Yu 001 (ICDE, 2018)

Collecting and Analyzing Multidimensional Data with Local Differential Privacy. - Ning Wang 026; Xiaokui Xiao; Yin Yang 001; Jun Zhao 007; Siu Cheung Hui; Hyejin Shin; Junbum Shin; Ge Yu 001 (ICDE, 2019)

Differentially Private Top-k Frequent Columns Publication for High-Dimensional Data. - Ning Wang 026; Zhigang Wang 001; Yu Gu 002; Jia Xu 005; Zhiqiang Wei 002; Ge Yu 001 (IEEE Access, 2019)

Differentially private high-dimensional data publication via grouping and truncating techniques. - Ning Wang 026; Yu Gu 002; Jia Xu 005; Fangfang Li 002; Ge Yu 001 (Frontiers Comput. Sci., 2019)

TSH: Easy-to-be distributed partitioning for large-scale graphs. - Ning Wang 026; Zhigang Wang 001; Yu Gu 002; Yubin Bao; Ge Yu 001 (Future Gener. Comput. Syst., 2019)

An Adaptive Sharing Framework for Efficient Multi-source Shortest Path Computation. - Xinyi Liu; Zhigang Wang 001; Ning Wang 026; Xiangtan Li; Bo Zhang; Jun Qiao; Zhiqiang Wei 002; Jie Nie (WISA, 2021)

Differentially Private Linear Regression Analysis via Truncating Technique. - Yifei Liu; Ning Wang 026; Zhigang Wang 001; Xiaodong Wang 006; Yun Gao; Xiaopeng Ji; Zhiqiang Wei 002; Jun Qiao (WISA, 2021)

DiterGraph: Toward I/O-Efficient Incremental Computation over Large Graphs with Billion Edges. - Yujie Du; Zhigang Wang 001; Ning Wang 026; Luqing Xie; Zhiqiang Wei 002 (BigCom, 2021)

Local Differential Privacy-Based Federated Learning for Internet of Things. - Yang Zhao 017; Jun Zhao 007; Mengmeng Yang 002; Teng Wang; Ning Wang 026; Lingjuan Lyu; Dusit Niyato; Kwok-Yan Lam (IEEE Internet Things J., 2021)

Collecting and analyzing key-value data under shuffled differential privacy. - Ning Wang 026; Wei Zheng; Zhigang Wang 001; Zhiqiang Wei 002; Yu Gu 002; Peng Tang; Ge Yu 001 (Frontiers Comput. Sci., 2022)

Lazy Machine Unlearning Strategy for Random Forests. - Nan Sun 004; Ning Wang 026; Zhigang Wang 001; Jie Nie; Zhiqiang Wei 002; Peishun Liu; Xiaodong Wang 006; Haipeng Qu (WISA, 2023)

Lightweight Streaming Graph Partitioning by Fully Utilizing Knowledge from Local View. - Zhigang Wang 001; Zichao Yang; Ning Wang 026; Yujie Du; Jie Nie; Zhiqiang Wei 002; Yu Gu 002; Ge Yu 001 (ICDCS, 2023)

PrivNUD: Effective Range Query Processing under Local Differential Privacy. - Ning Wang 026; Yaohua Wang; Zhigang Wang 001; Jie Nie; Zhiqiang Wei 002; Peng Tang; Yu Gu 002; Ge Yu 001 (ICDE, 2023)

A lock-free approach to parallelizing personalized PageRank computations on GPU. - Zhigang Wang 001; Ning Wang 026; Jie Nie; Zhiqiang Wei 002; Yu Gu 002; Ge Yu 001 (Frontiers Comput. Sci., 2023)

FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning. - Zhigang Wang 001; Yilei Tu; Ning Wang 026; Lixin Gao 001; Jie Nie; Zhiqiang Wei 002; Yu Gu 002; Ge Yu 001 (IEEE Trans. Parallel Distributed Syst., 2023)

Multi-Dimensional Data Collection Under Personalized Local Differential Privacy. - Kunpeng Song; Mingzhang Sun; Kui Zhou; Peng Tang; Ning Wang 026; Shanqing Guo (TrustCom, 2024)

Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control. - Zhigang Wang 001; Xu Zhang; Ning Wang 026; Chuanfei Xu; Jie Nie; Zhiqiang Wei 002; Yu Gu 002; Ge Yu 001 (CoRR, 2024)

LR-CNN: Lightweight Row-centric Convolutional Neural Network Training for Memory Reduction. - Zhigang Wang 001; Hangyu Yang; Ning Wang 026; Chuanfei Xu; Jie Nie; Zhiqiang Wei 002; Yu Gu 002; Ge Yu 001 (CoRR, 2024)

Locally differentially private frequency distribution estimation with relative error optimization. - Ning Wang 026; Yifei Liu; Zhigang Wang 001; Zhiqiang Wei 002; Ruichun Tang; Peng Tang; Ge Yu 001 (Frontiers Comput. Sci., 2024)

Query Rewriting-Based View Generation for Efficient Multi-Relation Multi-Query with Differential Privacy. - Xinglin Du; Peng Tang; Rui Chen 012; Ning Wang 026; Chengyu Hu; Shanqing Guo (EDBT, 2025)

Multidimensional categorical data collection under shuffled differential privacy. - Ning Wang 026; Jian Zhuang; Zhigang Wang 001; Zhiqiang Wei 002; Yu Gu 002; Peng Tang; Ge Yu 001 (Comput. Secur., 2025)

Enhancing Group Privacy for Effective CIoT Data Mining in 6G Networks Using Differential Privacy. - Bo Ning 002; Xinjian Zhang; Chengfei Liu; Ning Wang 026; Guanyu Li (IEEE Trans. Consumer Electron., 2025)