Xiaofeng Ding

53 papers A* 1A 2B 1Journal 42Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Differentially Private Online Convex Optimization With Long-Term Constraints via Gaussian Mechanism and Virtual Queue.
IEEE Trans. Emerg. Top. Comput. Intell.
Lin Chen, Pan Zhou, Xiaofeng Ding, Huanle Xu, John C. S. Lui
2025 J jnl
Privacy-Preserving Hierarchical Federated Learning With Front-Loaded Differential Privacy Mechanism.
Concurr. Comput. Pract. Exp.
Hashan Ratnayake, Lin Chen, Xiaofeng Ding
2025 J jnl
Privacy-preserving federated learning with intermediate-level model sharing.
Expert Syst. Appl.
Hashan Ratnayake, Lin Chen, Xiaofeng Ding
2024 J jnl
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research.
CoRR
Falguni Roy, Xiaofeng Ding, Kim-Kwang Raymond Choo, Pan Zhou
2024 J jnl
Differentially Private Federated Learning With Importance Client Sampling.
IEEE Trans. Consumer Electron.
Lin Chen, Xiaofeng Ding, Mengqi Li, Hai Jin
2024 J jnl
Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization.
IEEE Trans. Knowl. Data Eng.
Lin Chen, Xiaofeng Ding, Zhifeng Bao, Pan Zhou, Hai Jin
2024 J jnl
FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation.
IEEE Trans. Computers
Dezhong Yao, Wanning Pan, Yutong Dai, Yao Wan, Xiaofeng Ding, Chen Yu, Hai Jin, Zheng Xu, Lichao Sun
2024 J jnl
Particle Search Control Network for Dynamic Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Wei Song, Zhi Liu, Shaocong Liu, Xiaofeng Ding, Yinan Guo, Shengxiang Yang
2023 J jnl
A Dynamic-Efficient Structure for Secure and Verifiable Location-Based Skyline Queries.
IEEE Trans. Inf. Forensics Secur.
Zuan Wang, Liang Zhang, Xiaofeng Ding, Kim-Kwang Raymond Choo, Hai Jin
2023 J jnl
A learned spatial textual index for efficient keyword queries.
J. Intell. Inf. Syst.
Xiaofeng Ding, Yinting Zheng, Zuan Wang, Kim-Kwang Raymond Choo, Hai Jin
2023 J jnl
Blockchain-Based Privacy-Aware Contextual Online Learning for Collaborative Edge-Cloud-Enabled Nursing System in Internet of Things.
IEEE Internet Things J.
Jing Wu, Pan Zhou, Qimei Chen, Zichuan Xu, Xiaofeng Ding, Hao Jiang
2023 J jnl
Differentially Private Deep Learning With Dynamic Privacy Budget Allocation and Adaptive Optimization.
IEEE Trans. Inf. Forensics Secur.
Lin Chen, Danyang Yue, Xiaofeng Ding, Zuan Wang, Kim-Kwang Raymond Choo, Hai Jin
2023 J jnl
Distributed dynamic online learning with differential privacy via path-length measurement.
Inf. Sci.
Lin Chen, Xiaofeng Ding, Pan Zhou, Hai Jin
2023 J jnl
Efficient Location-Based Skyline Queries With Secure R-Tree Over Encrypted Data.
IEEE Trans. Knowl. Data Eng.
Zuan Wang, Xiaofeng Ding, Junfeng Lu, Liang Zhang, Pan Zhou, Kim-Kwang Raymond Choo, Hai Jin
2023 B conf
VFLH: A Following-the-Leader-History Based Algorithm for Adaptive Online Convex Optimization with Stochastic Constraints.
ICTAI
Yifan Yang, Lin Chen, Pan Zhou, Xiaofeng Ding
2022 J jnl
Differentially Private Triangle Counting in Large Graphs.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Ding, Shujun Sheng, Huajian Zhou, Xiaodong Zhang, Zhifeng Bao, Pan Zhou, Hai Jin
2022 J jnl
Efficient Secure and Verifiable Location-Based Skyline Queries over Encrypted Data.
Proc. VLDB Endow.
Zuan Wang, Xiaofeng Ding, Hai Jin, Pan Zhou
2022 J jnl
Privacy-Preserving Feature Extraction via Adversarial Training.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Ding, Hongbiao Fang, Zhilin Zhang, Kim-Kwang Raymond Choo, Hai Jin
2021 J jnl
A Novel Privacy Preserving Framework for Large Scale Graph Data Publishing.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Ding, Cui Wang, Kim-Kwang Raymond Choo, Hai Jin
2021 J jnl
A Resource-Constrained and Privacy-Preserving Edge-Computing-Enabled Clinical Decision System: A Federated Reinforcement Learning Approach.
IEEE Internet Things J.
Zeyue Xue, Pan Zhou, Zichuan Xu, Xiumin Wang, Yulai Xie, Xiaofeng Ding, Shiping Wen
2021 J jnl
A multi-dimensional index for privacy-preserving queries in cloud computing.
Concurr. Comput. Pract. Exp.
Hui Xu, Xiaofeng Ding, Hai Jin, Qing Yu
2021 J jnl
Differentially Private Deep Learning with Iterative Gradient Descent Optimization.
Trans. Data Sci.
Xiaofeng Ding, Lin Chen, Pan Zhou, Wenbin Jiang, Hai Jin
2021 J jnl
Dynamic online convex optimization with long-term constraints via virtual queue.
Inf. Sci.
Xiaofeng Ding, Lin Chen, Pan Zhou, Zichuan Xu, Shiping Wen, John C. S. Lui, Hai Jin
2021 J jnl
Efficient Probabilistic K-NN Computation in Uncertain Sensor Networks.
IEEE Trans. Netw. Sci. Eng.
Xiaofeng Ding, Shujun Sheng, Jing Liu, Pan Zhou
2021 J jnl
Efficient and Privacy-Preserving Multi-Party Skyline Queries Over Encrypted Data.
IEEE Trans. Inf. Forensics Secur.
Xiaofeng Ding, Zuan Wang, Pan Zhou, Kim-Kwang Raymond Choo, Hai Jin
2021 J jnl
Heterogeneous differential privacy for vertically partitioned databases.
Concurr. Comput. Pract. Exp.
Yang Xia, Tianqing Zhu, Xiaofeng Ding, Hai Jin, Deqing Zou
2021 J jnl
Joint Traffic Control and Multi-Channel Reassignment for Core Backbone Network in SDN-IoT: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Netw. Sci. Eng.
Tong Wu, Pan Zhou, Binghui Wang, Ang Li, Xueming Tang, Zichuan Xu, Kai Chen, Xiaofeng Ding
2021 J jnl
Trustworthy and Context-Aware Distributed Online Learning With Autoscaling for Content Caching in Collaborative Mobile Edge Computing.
IEEE Trans. Cogn. Commun. Netw.
Pan Zhou, Shimin Gong, Zichuan Xu, Lixing Chen, Yulai Xie, Changkun Jiang, Xiaofeng Ding
2020 J jnl
Differentially private publication of streaming trajectory data.
Inf. Sci.
Xiaofeng Ding, Wenxiang Zhou, Shujun Sheng, Zhifeng Bao, Kim-Kwang Raymond Choo, Hai Jin
2019 J jnl
BlockGraphChi: Enabling Block Update in Out-of-Core Graph Processing.
Int. J. Parallel Program.
Zhiyuan Shao, Zhenjie Mei, Xiaofeng Ding, Hai Jin
2019 J jnl
Efficient Recommendation of De-Identification Policies Using MapReduce.
IEEE Trans. Big Data
Xiaofeng Ding, Li Wang, Zhiyuan Shao, Hai Jin
2019 J jnl
Efficient subgraph search on large anonymized graphs.
Concurr. Comput. Pract. Exp.
Xiaofeng Ding, Yangling Ou, Jianhong Jia, Hai Jin, Jixue Liu
2019 J jnl
Privacy preserving similarity joins using MapReduce.
Inf. Sci.
Xiaofeng Ding, Wanlu Yang, Kim-Kwang Raymond Choo, Xiaoli Wang, Hai Jin
2019 J jnl
Privacy-Preserving Multi-Keyword Top-$k$ k Similarity Search Over Encrypted Data.
IEEE Trans. Dependable Secur. Comput.
Xiaofeng Ding, Peng Liu, Hai Jin
2018 A conf
Privacy-Preserving Triangle Counting in Large Graphs.
CIKM
Xiaofeng Ding, Xiaodong Zhang, Zhifeng Bao, Hai Jin
2017 J jnl
An Association-Oriented Partitioning Approach for Streaming Graph Query.
Sci. Program.
Yun Hao, Gaofeng Li, Pingpeng Yuan, Hai Jin, Xiaofeng Ding
2017 — conf
Distributed PathGraph: A Cluster Centric Framework for Distributed Processing Graph.
SOCA
Hao Long, Pingpeng Yuan, Hai Jin, Xiaofeng Ding
2017 — conf
Mining Representative Patterns Under Differential Privacy.
WISE (2)
Xiaofeng Ding, Long Chen, Hai Jin
2017 J jnl
Using check-in features to partition locations for individual users in location based social network.
Inf. Fusion
Chen Yu, Baiyun Xiao, Dezhong Yao, Xiaofeng Ding, Hai Jin
2016 J jnl
A hybrid approach to prevent composition attacks for independent data releases.
Inf. Sci.
Jiuyong Li, Muzammil M. Baig, A. H. M. Sarowar Sattar, Xiaofeng Ding, Jixue Liu, Millist W. Vincent
2015 — conf
Parallel Top-k Query Processing on Uncertain Strings Using MapReduce.
DASFAA (2)
Hui Xu, Xiaofeng Ding, Hai Jin, Wenbin Jiang
2015 J jnl
R-U policy frontiers for health data de-identification.
J. Am. Medical Informatics Assoc.
Weiyi Xia, Raymond Heatherly, Xiaofeng Ding, Jiuyong Li, Bradley A. Malin
2014 — conf
Top-k Similarity Matching in Large Graphs with Attributes.
DASFAA (2)
Xiaofeng Ding, Jianhong Jia, Jiuyong Li, Jixue Liu, Hai Jin
2013 J jnl
A general framework for privacy preserving data publishing.
Knowl. Based Syst.
A. H. M. Sarowar Sattar, Jiuyong Li, Xiaofeng Ding, Jixue Liu, Millist W. Vincent
2013 — conf
Distributed Anonymization for Multiple Data Providers in a Cloud System.
DASFAA (1)
Xiaofeng Ding, Qing Yu, Jiuyong Li, Jixue Liu, Hai Jin
2013 J jnl
Efficient and Effective KNN Sequence Search with Approximate n-grams.
Proc. VLDB Endow.
Xiaoli Wang, Xiaofeng Ding, Anthony K. H. Tung, Zhenjie Zhang
2013 — conf
Efficient discovery of de-identification policy options through a risk-utility frontier.
CODASPY
Weiyi Xia, Raymond Heatherly, Xiaofeng Ding, Jiuyong Li, Bradley A. Malin
2013 J jnl
Probabilistic Skyline Queries over Uncertain Moving Objects.
Comput. Informatics
Xiaofeng Ding, Hai Jin, Hui Xu, Wei Song
2012 A* conf
An Efficient Graph Indexing Method.
ICDE
Xiaoli Wang, Xiaofeng Ding, Anthony K. H. Tung, Shanshan Ying, Hai Jin
2012 J jnl
Continuous monitoring of skylines over uncertain data streams.
Inf. Sci.
Xiaofeng Ding, Xiang Lian, Lei Chen, Hai Jin
2012 — conf
Data Privacy against Composition Attack.
DASFAA (1)
Muzammil M. Baig, Jiuyong Li, Jixue Liu, Xiaofeng Ding, Hua Wang
2012 J jnl
Efficient and Progressive Algorithms for Distributed Skyline Queries over Uncertain Data.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Ding, Hai Jin
2010 A conf
Efficient and Progressive Algorithms for Distributed Skyline Queries over Uncertain Data.
ICDCS
Xiaofeng Ding, Hai Jin