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ORCIDXiaofeng Ding 0001
Person information
- affiliation (PhD 2009): Huazhong University of Science and Technology, School of Computer Science and Technology, WSCTS, CGCL, Wuhan, Hubei, China
- affiliation (former): University of South Australia, School of Information Technology and Mathematical Science, Australia
Other persons with the same name
- Xiaofeng Ding (aka: Xiao-feng Ding, Xiao-Feng Ding) — disambiguation page
- Xiaofeng Ding 0002
![[0000-0003-1116-0678]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1116-0678")
— Beihang University, School of Automation Science and Electrical Engineering, Beijing, China - Xiaofeng Ding 0003 — Shanghai University, Department of Mathematics, School of Science, China
- Xiaofeng Ding 0004 — Hohai University, College of Computer and Information Engineering, Nanjing, China
- Xiaofeng Ding 0005 — People's Liberation Army, Troop 96627, Beijing, China
- Xiaofeng Ding 0006 — Chinese Academy of Sciences, National Time Service Center, Shaanxi, China
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2020 – today
- 2024
[j37]Dezhong Yao, Wanning Pan, Yutong Dai, Yao Wan, Xiaofeng Ding, Chen Yu, Hai Jin, Zheng Xu, Lichao Sun:
FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation. IEEE Trans. Computers 73(1): 3-17 (2024)- [j36]Lin Chen, Xiaofeng Ding, Mengqi Li, Hai Jin:
Differentially Private Federated Learning With Importance Client Sampling. IEEE Trans. Consumer Electron. 70(1): 3635-3649 (2024) - [j35]Lin Chen, Xiaofeng Ding, Zhifeng Bao, Pan Zhou, Hai Jin:
Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization. IEEE Trans. Knowl. Data Eng. 36(9): 4567-4581 (2024) - 2023
- [j34]Jing Wu, Pan Zhou, Qimei Chen, Zichuan Xu, Xiaofeng Ding, Hao Jiang:
Blockchain-Based Privacy-Aware Contextual Online Learning for Collaborative Edge-Cloud-Enabled Nursing System in Internet of Things. IEEE Internet Things J. 10(8, April 15): 6703-6717 (2023) - [j33]Lin Chen, Xiaofeng Ding, Pan Zhou, Hai Jin:
Distributed dynamic online learning with differential privacy via path-length measurement. Inf. Sci. 630: 135-157 (2023) - [j32]Xiaofeng Ding, Yinting Zheng, Zuan Wang, Kim-Kwang Raymond Choo, Hai Jin:
A learned spatial textual index for efficient keyword queries. J. Intell. Inf. Syst. 60(3): 803-827 (2023) - [j31]Zuan Wang, Liang Zhang, Xiaofeng Ding, Kim-Kwang Raymond Choo, Hai Jin:
A Dynamic-Efficient Structure for Secure and Verifiable Location-Based Skyline Queries. IEEE Trans. Inf. Forensics Secur. 18: 920-935 (2023) - [j30]Lin Chen, Danyang Yue, Xiaofeng Ding, Zuan Wang, Kim-Kwang Raymond Choo, Hai Jin:
Differentially Private Deep Learning With Dynamic Privacy Budget Allocation and Adaptive Optimization. IEEE Trans. Inf. Forensics Secur. 18: 4422-4435 (2023) - [j29]Zuan Wang, Xiaofeng Ding, Junfeng Lu, Liang Zhang, Pan Zhou, Kim-Kwang Raymond Choo, Hai Jin:
Efficient Location-Based Skyline Queries With Secure R-Tree Over Encrypted Data. IEEE Trans. Knowl. Data Eng. 35(10): 10436-10450 (2023) - [c11]Yifan Yang, Lin Chen, Pan Zhou, Xiaofeng Ding:
VFLH: A Following-the-Leader-History Based Algorithm for Adaptive Online Convex Optimization with Stochastic Constraints. ICTAI 2023: 172-177 - 2022
- [j28]Zuan Wang, Xiaofeng Ding, Hai Jin, Pan Zhou:
Efficient Secure and Verifiable Location-Based Skyline Queries over Encrypted Data. Proc. VLDB Endow. 15(9): 1822-1834 (2022) - [j27]Xiaofeng Ding, Hongbiao Fang, Zhilin Zhang, Kim-Kwang Raymond Choo, Hai Jin:
Privacy-Preserving Feature Extraction via Adversarial Training. IEEE Trans. Knowl. Data Eng. 34(4): 1967-1979 (2022) - [j26]Xiaofeng Ding, Shujun Sheng, Huajian Zhou, Xiaodong Zhang, Zhifeng Bao, Pan Zhou, Hai Jin:
Differentially Private Triangle Counting in Large Graphs. IEEE Trans. Knowl. Data Eng. 34(11): 5278-5292 (2022) - 2021
- [j25]Yang Xia, Tianqing Zhu, Xiaofeng Ding, Hai Jin, Deqing Zou:
Heterogeneous differential privacy for vertically partitioned databases. Concurr. Comput. Pract. Exp. 33(8) (2021) - [j24]Hui Xu, Xiaofeng Ding, Hai Jin, Qing Yu:
A multi-dimensional index for privacy-preserving queries in cloud computing. Concurr. Comput. Pract. Exp. 33(8) (2021) - [j23]Zeyue Xue, Pan Zhou, Zichuan Xu, Xiumin Wang, Yulai Xie, Xiaofeng Ding, Shiping Wen:
A Resource-Constrained and Privacy-Preserving Edge-Computing-Enabled Clinical Decision System: A Federated Reinforcement Learning Approach. IEEE Internet Things J. 8(11): 9122-9138 (2021) - [j22]Xiaofeng Ding, Lin Chen, Pan Zhou, Zichuan Xu, Shiping Wen, John C. S. Lui, Hai Jin:
Dynamic online convex optimization with long-term constraints via virtual queue. Inf. Sci. 577: 140-161 (2021) - [j21]Pan Zhou, Shimin Gong, Zichuan Xu, Lixing Chen, Yulai Xie, Changkun Jiang, Xiaofeng Ding:
Trustworthy and Context-Aware Distributed Online Learning With Autoscaling for Content Caching in Collaborative Mobile Edge Computing. IEEE Trans. Cogn. Commun. Netw. 7(4): 1032-1047 (2021) - [j20]Xiaofeng Ding, Lin Chen, Pan Zhou, Wenbin Jiang, Hai Jin:
Differentially Private Deep Learning with Iterative Gradient Descent Optimization. Trans. Data Sci. 2(4): 34:1-34:27 (2021) - [j19]Xiaofeng Ding, Zuan Wang, Pan Zhou, Kim-Kwang Raymond Choo, Hai Jin:
Efficient and Privacy-Preserving Multi-Party Skyline Queries Over Encrypted Data. IEEE Trans. Inf. Forensics Secur. 16: 4589-4604 (2021) - [j18]Xiaofeng Ding, Cui Wang, Kim-Kwang Raymond Choo, Hai Jin:
A Novel Privacy Preserving Framework for Large Scale Graph Data Publishing. IEEE Trans. Knowl. Data Eng. 33(2): 331-343 (2021) - [j17]Tong Wu, Pan Zhou, Binghui Wang, Ang Li, Xueming Tang, Zichuan Xu, Kai Chen, Xiaofeng Ding:
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. 8(1): 231-245 (2021) - [j16]Xiaofeng Ding, Shujun Sheng, Jing Liu, Pan Zhou:
Efficient Probabilistic K-NN Computation in Uncertain Sensor Networks. IEEE Trans. Netw. Sci. Eng. 8(3): 2575-2587 (2021) - 2020
- [j15]Xiaofeng Ding, Wenxiang Zhou, Shujun Sheng, Zhifeng Bao, Kim-Kwang Raymond Choo, Hai Jin:
Differentially private publication of streaming trajectory data. Inf. Sci. 538: 159-175 (2020)
2010 – 2019
- 2019
- [j14]Xiaofeng Ding, Yangling Ou, Jianhong Jia, Hai Jin, Jixue Liu:
Efficient subgraph search on large anonymized graphs. Concurr. Comput. Pract. Exp. 31(23) (2019) - [j13]Zhiyuan Shao, Zhenjie Mei, Xiaofeng Ding, Hai Jin:
BlockGraphChi: Enabling Block Update in Out-of-Core Graph Processing. Int. J. Parallel Program. 47(4): 668-685 (2019) - [j12]Xiaofeng Ding, Wanlu Yang, Kim-Kwang Raymond Choo, Xiaoli Wang, Hai Jin:
Privacy preserving similarity joins using MapReduce. Inf. Sci. 493: 20-33 (2019) - [j11]Xiaofeng Ding, Li Wang, Zhiyuan Shao, Hai Jin:
Efficient Recommendation of De-Identification Policies Using MapReduce. IEEE Trans. Big Data 5(3): 343-354 (2019) - [j10]Xiaofeng Ding, Peng Liu, Hai Jin:
Privacy-Preserving Multi-Keyword Top-$k$ k Similarity Search Over Encrypted Data. IEEE Trans. Dependable Secur. Comput. 16(2): 344-357 (2019) - 2018
- [c10]Xiaofeng Ding, Xiaodong Zhang, Zhifeng Bao, Hai Jin:
Privacy-Preserving Triangle Counting in Large Graphs. CIKM 2018: 1283-1292 - 2017
- [j9]Chen Yu, Baiyun Xiao, Dezhong Yao, Xiaofeng Ding, Hai Jin:
Using check-in features to partition locations for individual users in location based social network. Inf. Fusion 37: 86-97 (2017) - [j8]Yun Hao, Gaofeng Li, Pingpeng Yuan, Hai Jin, Xiaofeng Ding:
An Association-Oriented Partitioning Approach for Streaming Graph Query. Sci. Program. 2017: 2573592:1-2573592:11 (2017) - [c9]Hao Long, Pingpeng Yuan, Hai Jin, Xiaofeng Ding:
Distributed PathGraph: A Cluster Centric Framework for Distributed Processing Graph. SOCA 2017: 34-41 - [c8]Xiaofeng Ding, Long Chen, Hai Jin:
Mining Representative Patterns Under Differential Privacy. WISE (2) 2017: 295-302 - 2016
- [j7]Jiuyong Li, Muzammil M. Baig, A. H. M. Sarowar Sattar, Xiaofeng Ding, Jixue Liu, Millist W. Vincent:
A hybrid approach to prevent composition attacks for independent data releases. Inf. Sci. 367-368: 324-336 (2016) - 2015
- [j6]Weiyi Xia, Raymond Heatherly, Xiaofeng Ding, Jiuyong Li, Bradley A. Malin:
R-U policy frontiers for health data de-identification. J. Am. Medical Informatics Assoc. 22(5): 1029-1041 (2015) - [c7]Hui Xu, Xiaofeng Ding, Hai Jin, Wenbin Jiang:
Parallel Top-k Query Processing on Uncertain Strings Using MapReduce. DASFAA (2) 2015: 89-103 - 2014
- [c6]Xiaofeng Ding, Jianhong Jia, Jiuyong Li, Jixue Liu, Hai Jin:
Top-k Similarity Matching in Large Graphs with Attributes. DASFAA (2) 2014: 156-170 - 2013
- [j5]Xiaofeng Ding, Hai Jin, Hui Xu, Wei Song:
Probabilistic Skyline Queries over Uncertain Moving Objects. Comput. Informatics 32(5): 987-1012 (2013) - [j4]A. H. M. Sarowar Sattar, Jiuyong Li, Xiaofeng Ding, Jixue Liu, Millist W. Vincent:
A general framework for privacy preserving data publishing. Knowl. Based Syst. 54: 276-287 (2013) - [j3]Xiaoli Wang, Xiaofeng Ding, Anthony K. H. Tung, Zhenjie Zhang:
Efficient and Effective KNN Sequence Search with Approximate n-grams. Proc. VLDB Endow. 7(1): 1-12 (2013) - [c5]Weiyi Xia, Raymond Heatherly, Xiaofeng Ding, Jiuyong Li, Bradley A. Malin:
Efficient discovery of de-identification policy options through a risk-utility frontier. CODASPY 2013: 59-70 - [c4]Xiaofeng Ding, Qing Yu, Jiuyong Li, Jixue Liu, Hai Jin:
Distributed Anonymization for Multiple Data Providers in a Cloud System. DASFAA (1) 2013: 346-360 - 2012
- [j2]Xiaofeng Ding, Xiang Lian, Lei Chen, Hai Jin:
Continuous monitoring of skylines over uncertain data streams. Inf. Sci. 184(1): 196-214 (2012) - [j1]Xiaofeng Ding, Hai Jin:
Efficient and Progressive Algorithms for Distributed Skyline Queries over Uncertain Data. IEEE Trans. Knowl. Data Eng. 24(8): 1448-1462 (2012) - [c3]Muzammil M. Baig, Jiuyong Li, Jixue Liu, Xiaofeng Ding, Hua Wang:
Data Privacy against Composition Attack. DASFAA (1) 2012: 320-334 - [c2]Xiaoli Wang, Xiaofeng Ding, Anthony K. H. Tung, Shanshan Ying, Hai Jin:
An Efficient Graph Indexing Method. ICDE 2012: 210-221 - 2010
- [c1]Xiaofeng Ding, Hai Jin:
Efficient and Progressive Algorithms for Distributed Skyline Queries over Uncertain Data. ICDCS 2010: 149-158
Coauthor Index
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