Data Privacy against Composition Attack. - Muzammil M. Baig; Jiuyong Li; Jixue Liu; Xiaofeng Ding 001; Hua Wang 002 (DASFAA (1), 2012)

An Efficient Graph Indexing Method. - Xiaoli Wang 002; Xiaofeng Ding 001; Anthony K. H. Tung; Shanshan Ying; Hai Jin 001 (ICDE, 2012)

Continuous monitoring of skylines over uncertain data streams. - Xiaofeng Ding 001; Xiang Lian 001; Lei Chen 002; Hai Jin 001 (Inf. Sci., 2012)

Efficient and Progressive Algorithms for Distributed Skyline Queries over Uncertain Data. - Xiaofeng Ding 001; Hai Jin 001 (IEEE Trans. Knowl. Data Eng., 2012)

Efficient discovery of de-identification policy options through a risk-utility frontier. - Weiyi Xia; Raymond Heatherly; Xiaofeng Ding 001; Jiuyong Li; Bradley A. Malin (CODASPY, 2013)

Distributed Anonymization for Multiple Data Providers in a Cloud System. - Xiaofeng Ding 001; Qing Yu; Jiuyong Li; Jixue Liu; Hai Jin 001 (DASFAA (1), 2013)

Probabilistic Skyline Queries over Uncertain Moving Objects. - Xiaofeng Ding 001; Hai Jin 001; Hui Xu; Wei Song (Comput. Informatics, 2013)

A general framework for privacy preserving data publishing. - A. H. M. Sarowar Sattar; Jiuyong Li; Xiaofeng Ding 001; Jixue Liu; Millist W. Vincent (Knowl. Based Syst., 2013)

Efficient and Effective KNN Sequence Search with Approximate n-grams. - Xiaoli Wang 002; Xiaofeng Ding 001; Anthony K. H. Tung; Zhenjie Zhang (Proc. VLDB Endow., 2013)

Top-k Similarity Matching in Large Graphs with Attributes. - Xiaofeng Ding 001; Jianhong Jia; Jiuyong Li; Jixue Liu; Hai Jin 001 (DASFAA (2), 2014)

Parallel Top-k Query Processing on Uncertain Strings Using MapReduce. - Hui Xu; Xiaofeng Ding 001; Hai Jin 001; Wenbin Jiang 001 (DASFAA (2), 2015)

R-U policy frontiers for health data de-identification. - Weiyi Xia; Raymond Heatherly; Xiaofeng Ding 001; Jiuyong Li; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2015)

A hybrid approach to prevent composition attacks for independent data releases. - Jiuyong Li; Muzammil M. Baig; A. H. M. Sarowar Sattar; Xiaofeng Ding 001; Jixue Liu; Millist W. Vincent (Inf. Sci., 2016)

Distributed PathGraph: A Cluster Centric Framework for Distributed Processing Graph. - Hao Long; Pingpeng Yuan; Hai Jin 001; Xiaofeng Ding 001 (SOCA, 2017)

Mining Representative Patterns Under Differential Privacy. - Xiaofeng Ding 001; Long Chen; Hai Jin 001 (WISE (2), 2017)

Using check-in features to partition locations for individual users in location based social network. - Chen Yu 003; Baiyun Xiao; Dezhong Yao 002; Xiaofeng Ding 001; Hai Jin 001 (Inf. Fusion, 2017)

An Association-Oriented Partitioning Approach for Streaming Graph Query. - Yun Hao; Gaofeng Li; Pingpeng Yuan; Hai Jin 001; Xiaofeng Ding 001 (Sci. Program., 2017)

Privacy-Preserving Triangle Counting in Large Graphs. - Xiaofeng Ding 001; Xiaodong Zhang; Zhifeng Bao; Hai Jin 001 (CIKM, 2018)

Efficient subgraph search on large anonymized graphs. - Xiaofeng Ding 001; Yangling Ou; Jianhong Jia; Hai Jin 001; Jixue Liu (Concurr. Comput. Pract. Exp., 2019)

BlockGraphChi: Enabling Block Update in Out-of-Core Graph Processing. - Zhiyuan Shao; Zhenjie Mei; Xiaofeng Ding 001; Hai Jin 001 (Int. J. Parallel Program., 2019)

Privacy preserving similarity joins using MapReduce. - Xiaofeng Ding 001; Wanlu Yang; Kim-Kwang Raymond Choo; Xiaoli Wang 002; Hai Jin 001 (Inf. Sci., 2019)

Efficient Recommendation of De-Identification Policies Using MapReduce. - Xiaofeng Ding 001; Li Wang; Zhiyuan Shao; Hai Jin 001 (IEEE Trans. Big Data, 2019)

Privacy-Preserving Multi-Keyword Top-$k$ k Similarity Search Over Encrypted Data. - Xiaofeng Ding 001; Peng Liu; Hai Jin 001 (IEEE Trans. Dependable Secur. Comput., 2019)

Differentially private publication of streaming trajectory data. - Xiaofeng Ding 001; Wenxiang Zhou; Shujun Sheng; Zhifeng Bao; Kim-Kwang Raymond Choo; Hai Jin 001 (Inf. Sci., 2020)

Heterogeneous differential privacy for vertically partitioned databases. - Yang Xia; Tianqing Zhu; Xiaofeng Ding 001; Hai Jin 001; Deqing Zou (Concurr. Comput. Pract. Exp., 2021)

A multi-dimensional index for privacy-preserving queries in cloud computing. - Hui Xu; Xiaofeng Ding 001; Hai Jin 001; Qing Yu (Concurr. Comput. Pract. Exp., 2021)

A Resource-Constrained and Privacy-Preserving Edge-Computing-Enabled Clinical Decision System: A Federated Reinforcement Learning Approach. - Zeyue Xue; Pan Zhou 001; Zichuan Xu; Xiumin Wang; Yulai Xie; Xiaofeng Ding 001; Shiping Wen 001 (IEEE Internet Things J., 2021)

Dynamic online convex optimization with long-term constraints via virtual queue. - Xiaofeng Ding 001; Lin Chen 033; Pan Zhou 001; Zichuan Xu; Shiping Wen 001; John C. S. Lui; Hai Jin 001 (Inf. Sci., 2021)

Trustworthy and Context-Aware Distributed Online Learning With Autoscaling for Content Caching in Collaborative Mobile Edge Computing. - Pan Zhou 001; Shimin Gong; Zichuan Xu; Lixing Chen; Yulai Xie; Changkun Jiang; Xiaofeng Ding 001 (IEEE Trans. Cogn. Commun. Netw., 2021)

Differentially Private Deep Learning with Iterative Gradient Descent Optimization. - Xiaofeng Ding 001; Lin Chen 033; Pan Zhou 001; Wenbin Jiang 001; Hai Jin 001 (Trans. Data Sci., 2021)

Efficient and Privacy-Preserving Multi-Party Skyline Queries Over Encrypted Data. - Xiaofeng Ding 001; Zuan Wang; Pan Zhou 001; Kim-Kwang Raymond Choo; Hai Jin 001 (IEEE Trans. Inf. Forensics Secur., 2021)

A Novel Privacy Preserving Framework for Large Scale Graph Data Publishing. - Xiaofeng Ding 001; Cui Wang; Kim-Kwang Raymond Choo; Hai Jin 001 (IEEE Trans. Knowl. Data Eng., 2021)

Efficient Probabilistic K-NN Computation in Uncertain Sensor Networks. - Xiaofeng Ding 001; Shujun Sheng; Jing Liu 066; Pan Zhou 001 (IEEE Trans. Netw. Sci. Eng., 2021)

Joint Traffic Control and Multi-Channel Reassignment for Core Backbone Network in SDN-IoT: A Multi-Agent Deep Reinforcement Learning Approach. - Tong Wu; Pan Zhou 001; Binghui Wang; Ang Li 005; Xueming Tang; Zichuan Xu; Kai Chen; Xiaofeng Ding 001 (IEEE Trans. Netw. Sci. Eng., 2021)

Efficient Secure and Verifiable Location-Based Skyline Queries over Encrypted Data. - Zuan Wang; Xiaofeng Ding 001; Hai Jin 001; Pan Zhou 001 (Proc. VLDB Endow., 2022)

Privacy-Preserving Feature Extraction via Adversarial Training. - Xiaofeng Ding 001; Hongbiao Fang; Zhilin Zhang 001; Kim-Kwang Raymond Choo; Hai Jin 001 (IEEE Trans. Knowl. Data Eng., 2022)

Differentially Private Triangle Counting in Large Graphs. - Xiaofeng Ding 001; Shujun Sheng; Huajian Zhou; Xiaodong Zhang; Zhifeng Bao; Pan Zhou 001; Hai Jin 001 (IEEE Trans. Knowl. Data Eng., 2022)

VFLH: A Following-the-Leader-History Based Algorithm for Adaptive Online Convex Optimization with Stochastic Constraints. - Yifan Yang; Lin Chen 033; Pan Zhou 001; Xiaofeng Ding 001 (ICTAI, 2023)

Blockchain-Based Privacy-Aware Contextual Online Learning for Collaborative Edge-Cloud-Enabled Nursing System in Internet of Things. - Jing Wu 016; Pan Zhou 001; Qimei Chen; Zichuan Xu; Xiaofeng Ding 001; Hao Jiang 010 (IEEE Internet Things J., 2023)

Differentially Private Deep Learning With Dynamic Privacy Budget Allocation and Adaptive Optimization. - Lin Chen 033; Danyang Yue; Xiaofeng Ding 001; Zuan Wang; Kim-Kwang Raymond Choo; Hai Jin 001 (IEEE Trans. Inf. Forensics Secur., 2023)

A Dynamic-Efficient Structure for Secure and Verifiable Location-Based Skyline Queries. - Zuan Wang; Liang Zhang; Xiaofeng Ding 001; Kim-Kwang Raymond Choo; Hai Jin 001 (IEEE Trans. Inf. Forensics Secur., 2023)

Distributed dynamic online learning with differential privacy via path-length measurement. - Lin Chen 033; Xiaofeng Ding 001; Pan Zhou 001; Hai Jin 001 (Inf. Sci., 2023)

A learned spatial textual index for efficient keyword queries. - Xiaofeng Ding 001; Yinting Zheng; Zuan Wang; Kim-Kwang Raymond Choo; Hai Jin 001 (J. Intell. Inf. Syst., 2023)

Efficient Location-Based Skyline Queries With Secure R-Tree Over Encrypted Data. - Zuan Wang; Xiaofeng Ding 001; Junfeng Lu; Liang Zhang; Pan Zhou 001; Kim-Kwang Raymond Choo; Hai Jin 001 (IEEE Trans. Knowl. Data Eng., 2023)

A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research. - Falguni Roy; Xiaofeng Ding 001; Kim-Kwang Raymond Choo; Pan Zhou 001 (CoRR, 2024)

FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation. - Dezhong Yao 002; Wanning Pan; Yutong Dai 002; Yao Wan 001; Xiaofeng Ding 001; Chen Yu 003; Hai Jin 001; Zheng Xu 002; Lichao Sun 001 (IEEE Trans. Computers, 2024)

Differentially Private Federated Learning With Importance Client Sampling. - Lin Chen 033; Xiaofeng Ding 001; Mengqi Li; Hai Jin 001 (IEEE Trans. Consumer Electron., 2024)

Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization. - Lin Chen 033; Xiaofeng Ding 001; Zhifeng Bao; Pan Zhou 001; Hai Jin 001 (IEEE Trans. Knowl. Data Eng., 2024)

Particle Search Control Network for Dynamic Optimization. - Wei Song; Zhi Liu; Shaocong Liu; Xiaofeng Ding 001; Yinan Guo 001; Shengxiang Yang (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Privacy-preserving federated learning with intermediate-level model sharing. - Hashan Ratnayake; Lin Chen 033; Xiaofeng Ding 001 (Expert Syst. Appl., 2025)