Personal Profile

Dr. Ding Xiaofeng, Professor of School of Computer Science and Technology, Huazhong University of Science and Technology, supervisor of doctoral candidates, has been engaged in researches concerning big data management, cloud computing, data privacy protection methods, data query processing technology. In 2010 and 2013, he,as a postdoctoral research fellow, has conducted researches on big data management, privacy protection, query processing and data-intensive service technology in the National University of Singapore and the University of South Australia, Australia respectively. Till now, he has published 50 academic papers in IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Information Forensics and Security, International Conference on Very Large Databases (VLDB), IEEE International Conference on Data Engineering (ICDE), IEEE International Conference on Distributed Computing Systems (ICDCS), Information Sciences, Knowledge Based Systems, China Science: Information Science, Journal of Computer Science, Journal of Software and other international and domestic well-known academic journals and conferences.

Academic Degrees

2010.1 ~ 2010.12

National University of Singapore - Postdoctoral Fellow

2006.9 ~ 2009.6

Huazhong University of Science and Technology  Doctoral Degree - Postgraduate (Doctoral)

Professional Experience

2011.10 ~ 2013.10

University of South Australia - Research Fellow

Courses Taught

Awards and Honors

Selected Projects Funded

Selected Publications

[1] Xiaofeng Ding, Peng Liu, Hai Jin. Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data. IEEE Transactions on Dependable and Secure Computing, 2019, 16(2):344-357

[2] 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)

[3] Xiaofeng Ding, Hongbiao Fang, Zhilin Zhang, Kim-Kwang Choo, Hai Jin: Privacy-Preserving Feature Extraction via Adversarial Training. IEEE Trans. Knowl. Data Eng. 34(4): 1967-1979 (2022)

[4] Xiaofeng Ding, Cui Wang, Raymond Choo, Hai Jin. A Novel Privacy Preserving Framework for Large Scale Graph Data Publishing. IEEE Transactions on Knowledge and Data Engineering, 2021, 3(2):331-343

[5] 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)

[6] Xiaofeng Ding, Zuan Wang, Pan Zhou, Raymond Choo, Hai Jin. Efficient and Privacy-Preserving Multi-Party Skyline Queries over Encrypted Data. IEEE Transactions on Information Forensics and Security, 2021, 16: 4589-4604

[7] Xiaofeng Ding, Lin Chen, Pan Zhou, Wenbin Jiang, Hai Jin. Differentially Private Deep Learning with Iterative Gradient Descent Optimization. ACM Transactions on Data Science, 2, 4, Article 34 (February 2022), 27 pages. http://dx.doi.org/10.1145/3491254

[8] Xiaofeng Ding, Li Wang, Zhiyuan Shao, Hai Jin. Efficient Recommendation of De-identification Policies using MapReduce. IEEE Transaction on Big Data, 2019, 5(3): 343-354

Professional Affiliations

Research Group

Enrollment Information

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