Xiaofeng Ding

According to our database, Xiaofeng Ding authored at least 49 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Particle Search Control Network for Dynamic Optimization.

Wei Song, Zhi Liu, Shaocong Liu, Xiaofeng Ding, Yinan Guo, Shengxiang Yang

IEEE Trans. Syst. Man Cybern. Syst., November, 2024

Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization.

Lin Chen, Xiaofeng Ding, Zhifeng Bao, Pan Zhou, Hai Jin

IEEE Trans. Knowl. Data Eng., September, 2024

Differentially Private Federated Learning With Importance Client Sampling.

Lin Chen, Xiaofeng Ding, Mengqi Li, Hai Jin

IEEE Trans. Consumer Electron., February, 2024

FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation.

Dezhong Yao, Wanning Pan, Yutong Dai, Yao Wan, Xiaofeng Ding, Chen Yu, Hai Jin, Zheng Xu, Lichao Sun

IEEE Trans. Computers, January, 2024

A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research.

Falguni Roy, Xiaofeng Ding, Kim-Kwang Raymond Choo, Pan Zhou

CoRR, 2024

2023

Efficient Location-Based Skyline Queries With Secure R-Tree Over Encrypted Data.

Zuan Wang, Xiaofeng Ding, Junfeng Lu, Liang Zhang, Pan Zhou, Kim-Kwang Raymond Choo, Hai Jin

IEEE Trans. Knowl. Data Eng., October, 2023

A learned spatial textual index for efficient keyword queries.

Xiaofeng Ding, Yinting Zheng, Zuan Wang, Kim-Kwang Raymond Choo, Hai Jin

J. Intell. Inf. Syst., June, 2023

Distributed dynamic online learning with differential privacy via path-length measurement.

Lin Chen, Xiaofeng Ding, Pan Zhou, Hai Jin

Inf. Sci., June, 2023

A Dynamic-Efficient Structure for Secure and Verifiable Location-Based Skyline Queries.

Zuan Wang, Liang Zhang, Xiaofeng Ding, Kim-Kwang Raymond Choo, Hai Jin

IEEE Trans. Inf. Forensics Secur., 2023

Differentially Private Deep Learning With Dynamic Privacy Budget Allocation and Adaptive Optimization.

Lin Chen, Danyang Yue, Xiaofeng Ding, Zuan Wang, Kim-Kwang Raymond Choo, Hai Jin

IEEE Trans. Inf. Forensics Secur., 2023

Blockchain-Based Privacy-Aware Contextual Online Learning for Collaborative Edge-Cloud-Enabled Nursing System in Internet of Things.

Jing Wu, Pan Zhou, Qimei Chen, Zichuan Xu, Xiaofeng Ding, Hao Jiang

IEEE Internet Things J., 2023

VFLH: A Following-the-Leader-History Based Algorithm for Adaptive Online Convex Optimization with Stochastic Constraints.

Yifan Yang, Lin Chen, Pan Zhou, Xiaofeng Ding

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2022

Differentially Private Triangle Counting in Large Graphs.

Xiaofeng Ding, Shujun Sheng, Huajian Zhou, Xiaodong Zhang, Zhifeng Bao, Pan Zhou, Hai Jin

IEEE Trans. Knowl. Data Eng., 2022

Privacy-Preserving Feature Extraction via Adversarial Training.

Xiaofeng Ding, Hongbiao Fang, Zhilin Zhang, Kim-Kwang Raymond Choo, Hai Jin

IEEE Trans. Knowl. Data Eng., 2022

Efficient Secure and Verifiable Location-Based Skyline Queries over Encrypted Data.

Zuan Wang, Xiaofeng Ding, Hai Jin, Pan Zhou

Proc. VLDB Endow., 2022

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, Binghui Wang, Ang Li, Xueming Tang, Zichuan Xu, Kai Chen, Xiaofeng Ding

IEEE Trans. Netw. Sci. Eng., 2021

Efficient Probabilistic K-NN Computation in Uncertain Sensor Networks.

Xiaofeng Ding, Shujun Sheng, Jing Liu, Pan Zhou

IEEE Trans. Netw. Sci. Eng., 2021

A Novel Privacy Preserving Framework for Large Scale Graph Data Publishing.

Xiaofeng Ding, Cui Wang, Kim-Kwang Raymond Choo, Hai Jin

IEEE Trans. Knowl. Data Eng., 2021

Efficient and Privacy-Preserving Multi-Party Skyline Queries Over Encrypted Data.

Xiaofeng Ding, Zuan Wang, Pan Zhou, Kim-Kwang Raymond Choo, Hai Jin

IEEE Trans. Inf. Forensics Secur., 2021

Differentially Private Deep Learning with Iterative Gradient Descent Optimization.

Xiaofeng Ding, Lin Chen, Pan Zhou, Wenbin Jiang, Hai Jin

Trans. Data Sci., 2021

Trustworthy and Context-Aware Distributed Online Learning With Autoscaling for Content Caching in Collaborative Mobile Edge Computing.

Pan Zhou, Shimin Gong, Zichuan Xu, Lixing Chen, Yulai Xie, Changkun Jiang, Xiaofeng Ding

IEEE Trans. Cogn. Commun. Netw., 2021

Dynamic online convex optimization with long-term constraints via virtual queue.

Xiaofeng Ding, Lin Chen, Pan Zhou, Zichuan Xu, Shiping Wen, John C. S. Lui, Hai Jin

Inf. Sci., 2021

A Resource-Constrained and Privacy-Preserving Edge-Computing-Enabled Clinical Decision System: A Federated Reinforcement Learning Approach.

Zeyue Xue, Pan Zhou, Zichuan Xu, Xiumin Wang, Yulai Xie, Xiaofeng Ding, Shiping Wen

IEEE Internet Things J., 2021

A multi-dimensional index for privacy-preserving queries in cloud computing.

Hui Xu, Xiaofeng Ding, Hai Jin, Qing Yu

Concurr. Comput. Pract. Exp., 2021

Heterogeneous differential privacy for vertically partitioned databases.

Yang Xia, Tianqing Zhu, Xiaofeng Ding, Hai Jin, Deqing Zou

Concurr. Comput. Pract. Exp., 2021

2020

Differentially private publication of streaming trajectory data.

Xiaofeng Ding, Wenxiang Zhou, Shujun Sheng, Zhifeng Bao, Kim-Kwang Raymond Choo, Hai Jin

Inf. Sci., 2020

2019

Privacy-Preserving Multi-Keyword Top-$k$ k Similarity Search Over Encrypted Data.

Xiaofeng Ding, Peng Liu, Hai Jin

IEEE Trans. Dependable Secur. Comput., 2019

Efficient Recommendation of De-Identification Policies Using MapReduce.

Xiaofeng Ding, Li Wang, Zhiyuan Shao, Hai Jin

IEEE Trans. Big Data, 2019

Privacy preserving similarity joins using MapReduce.

Xiaofeng Ding, Wanlu Yang, Kim-Kwang Raymond Choo, Xiaoli Wang, Hai Jin

Inf. Sci., 2019

BlockGraphChi: Enabling Block Update in Out-of-Core Graph Processing.

Zhiyuan Shao, Zhenjie Mei, Xiaofeng Ding, Hai Jin

Int. J. Parallel Program., 2019

Efficient subgraph search on large anonymized graphs.

Xiaofeng Ding, Yangling Ou, Jianhong Jia, Hai Jin, Jixue Liu

Concurr. Comput. Pract. Exp., 2019

2018

Privacy-Preserving Triangle Counting in Large Graphs.

Xiaofeng Ding, Xiaodong Zhang, Zhifeng Bao, Hai Jin

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

An Association-Oriented Partitioning Approach for Streaming Graph Query.

Yun Hao, Gaofeng Li, Pingpeng Yuan, Hai Jin, Xiaofeng Ding

Sci. Program., 2017

Using check-in features to partition locations for individual users in location based social network.

Chen Yu, Baiyun Xiao, Dezhong Yao, Xiaofeng Ding, Hai Jin

Inf. Fusion, 2017

Mining Representative Patterns Under Differential Privacy.

Xiaofeng Ding, Long Chen, Hai Jin

Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Distributed PathGraph: A Cluster Centric Framework for Distributed Processing Graph.

Hao Long, Pingpeng Yuan, Hai Jin, Xiaofeng Ding

Proceedings of the 10th IEEE Conference on Service-Oriented Computing and Applications, 2017

2016

A hybrid approach to prevent composition attacks for independent data releases.

Jiuyong Li, Muzammil M. Baig, A. H. M. Sarowar Sattar, Xiaofeng Ding, Jixue Liu, Millist W. Vincent

Inf. Sci., 2016

2015

R-U policy frontiers for health data de-identification.

Weiyi Xia, Raymond Heatherly, Xiaofeng Ding, Jiuyong Li, Bradley A. Malin

J. Am. Medical Informatics Assoc., 2015

Parallel Top-k Query Processing on Uncertain Strings Using MapReduce.

Hui Xu, Xiaofeng Ding, Hai Jin, Wenbin Jiang

Proceedings of the Database Systems for Advanced Applications, 2015

2014

Top-k Similarity Matching in Large Graphs with Attributes.

Xiaofeng Ding, Jianhong Jia, Jiuyong Li, Jixue Liu, Hai Jin

Proceedings of the Database Systems for Advanced Applications, 2014

2013

Efficient and Effective KNN Sequence Search with Approximate n-grams.

Xiaoli Wang, Xiaofeng Ding, Anthony K. H. Tung, Zhenjie Zhang

Proc. VLDB Endow., 2013

A general framework for privacy preserving data publishing.

A. H. M. Sarowar Sattar, Jiuyong Li, Xiaofeng Ding, Jixue Liu, Millist W. Vincent

Knowl. Based Syst., 2013

Probabilistic Skyline Queries over Uncertain Moving Objects.

Xiaofeng Ding, Hai Jin, Hui Xu, Wei Song

Comput. Informatics, 2013

Distributed Anonymization for Multiple Data Providers in a Cloud System.

Xiaofeng Ding, Qing Yu, Jiuyong Li, Jixue Liu, Hai Jin

Proceedings of the Database Systems for Advanced Applications, 2013

Efficient discovery of de-identification policy options through a risk-utility frontier.

Weiyi Xia, Raymond Heatherly, Xiaofeng Ding, Jiuyong Li, Bradley A. Malin

Proceedings of the Third ACM Conference on Data and Application Security and Privacy, 2013

2012

Efficient and Progressive Algorithms for Distributed Skyline Queries over Uncertain Data.

Xiaofeng Ding, Hai Jin

IEEE Trans. Knowl. Data Eng., 2012

Continuous monitoring of skylines over uncertain data streams.

Xiaofeng Ding, Xiang Lian, Lei Chen, Hai Jin

Inf. Sci., 2012

An Efficient Graph Indexing Method.

Xiaoli Wang, Xiaofeng Ding, Anthony K. H. Tung, Shanshan Ying, Hai Jin

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Data Privacy against Composition Attack.

Muzammil M. Baig, Jiuyong Li, Jixue Liu, Xiaofeng Ding, Hua Wang

Proceedings of the Database Systems for Advanced Applications, 2012