更新时间：2023-03-18 13:55
丁晓锋，男，工学博士，华中科技大学计算机学院教授。主要研究方向为大数据管理、云计算、数据隐私保护方法、数据查询处理技术。
丁晓锋，男，工学博士，华中科技大学计算机学院教授，博士生导师，主要研究方向为大数据管理、云计算、数据隐私保护方法、数据查询处理技术。作为博士后研究员，曾分别于2010年和2013年在新加坡国立大学和澳大利亚南澳大学从事大数据管理、隐私保护、查询处理、数据密集型服务技术方面的研究。
华中科技大学，博士
新加坡国立大学，博士后
华中科技大学，计算机学院，教授
[1] Xiaofeng Ding, Hai Jin. Efficient and Progressive Algorithms for Distributed Skyline
Queries over Uncertain Data. IEEE Transactions on Knowledge and Data Engineering
(TKDE), vol. 24, no. 8, pp. 1448-1462, Aug. 2012. (SCI)
[2] Xiaofeng Ding, Xiang Lian, Lei Chen, Hai Jin. Continuous Monitoring of Skylines over
Uncertain Data Streams. Information Sciences, Elsevier, 184(2012): 196-214. (SCI)
[3] Xiaoli Wang, Xiaofeng Ding*, Anthony K. H. Tung, Zhenjie Zhang. Efficient and Effective
KNN Sequence Search with Approximate n-grams. Accepted to appear In Proceeding of
the 40th International Conference on Very Large Data Bases (PVLDB), Pages: 1-12,
Hangzhou, China, Sep. 2014.
[4] Xiaoli Wang, Xiaofeng Ding*, Anthony K.H. Tung, Shanshan Ying, Hai Jin. An Efficient
Graph Indexing Method. In Proceeding of the 28th IEEE International Conference on
Data Engineering (ICDE'12), Pages 210-221, Arlington, VA, Apr. 2012.
[5] Xiaofeng Ding, Jianhong Jia, Jiuyong Li, Jixue Liu, and Hai Jin. Top-k Similarity Matching
in Large Graphs with Attributes. In Proceeding of the 19th International Conference on
Database Systems for Advanced Applications (DASFAA),Pages 156-170, 21-24 April, 2014, Bali, Indonesia.
[6] Xiaofeng Ding, Hai Jin, Hui Xu, Wei Song. Probabilistic Skyline Queries over Uncertain
Moving Objects. Computing and Informatics 32(5): 987-1012, 2013. (SCI)
[7] Sarowar Sattar, Jiuyong Li, Xiaofeng Ding, Jixue Liu, Millist W. Vincent. A general
framework for privacy preserving data publishing. Knowledge Based System. 54: 276-287,
2013. (SCI)
[8] Xiaofeng Ding, Qing Yu, Jiuyong Li, Jixue Liu, and Hai Jin. Distributed Anonymization
for Multiple Data Providers in a Cloud System. In Proceeding of the 18th International
Conference on Database Systems for Advanced Applications (DASFAA), Pages 346-360,
22-25 April, 2013, Wuhan, China.
[9] Weixi Xia, R. Heatherly, Xiaofeng Ding, Jiuyong Li and Bradley Malin. Efficient
Discovery of De-identification Policy Options Through a Risk-Utility Frontier. In
Proceeding of ACM CODASPY, Pages: 59-70, Feb 18–20, 2013, San Antonio, USA.
[10] 丁晓锋, 金海等. 支持频繁位置更新的不确定移动对象索引策略. 计算机学报,
2012, 35(12):2587-2597.