Ding Xiao Feng

Phone:(+86) 027-87541924-8030


Academic Areas:Big Data, Data Privacy,Query Processing, String and Graph Databases

Research Interests:

A computer scientist and data analyst, Dr. Ding is currently working as an Associate Professor of Computer Science and Technology at Huazhong University of Science and Technology. His research interests include big data privacy, data indexing, and query processing. He is widely published in the leading scholarly journals in data base and data mining, and his work has been featured in a variety of media like The Communication of CCF. He worked as Research Fellow at the National University of Singapore and the University of South Australia during 2011-2013. He is the Recipient of the Microsoft Research Asia Star Track Visiting Young Faculty in 2014.

Academic Degrees*

  • PhD in Computer Science, 2009, Huazhong University of Computer Science and Technology, School of Computer Science and Technology;

Professional Experience*

  • IEEE Transactions on Knowledge and Data Engineering

  • IEEE Transactions on Computers

  • IEEE Transactions on Parallel and Distributed Computing Systems

  • Information Sciences

  • Computational Statistics and Data Analysis

  • Journal of Research and Practice in Information Technology

  • International Journal of Information Technology & Decision Making

  • Journal of Super Computing

  • Journal of Parallel and Distributed Computing

  • The Computer Journal

Selected Publications*

  1. Xiaoli Wang, Xiaofeng Ding, Anthony Tung and Zhenjie Zhang. Efficient and Effective KNN Sequence Search with Approximate ngrams.
    In Proceedings of the 40th International Conference on Very Large Data Bases (VLDB14), PVLDB 7(1): 1-12, Hangzhou, September 2014.

  2. Xiaofeng Ding, Hai Jin. Efficient and Progressive Algorithms for Distributed Skyline Queries over Uncertain Data.
    In IEEE Transactions on Knowledge and Data Engineering(TKDE), vol. 24, no. 8, pp. 1448-1462, Aug. 2012.

  3. 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.

  4. Xiaoli Wang, Xiaofeng Ding, Anthony K.H. Tung, Shanshan Ying, Hai Jin. An Efficient Graph Indexing Method. 
    In Proceeding of 2012 IEEE International Conference on Data Engineering (ICDE'12), Pages 210-221, Arlington, VA, Apr. 2012.

  5. Xiaofeng Ding, Xiang Lian, Lei Chen, Hai Jin. Continuous Monitoring of Skylines over Uncertain Data Streams. 
    In Information Sciences, Elsevier, 184(2012): 196-214. (SCI IF: 3.095)

  6. 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.

  7. Weiyi Xia, Raymond Heatherly, Xiaofeng Ding, Jiuyong Li, and Bradley Malin. Efficient Discovery of De-identification Policy Options through a Risk-Utility Frontier. 
    In Proceeding of ACM Conference on Data and Application Security and Privacy (CODASPY), Pages: 59-70, February 18-20, 2013, San Antonio, Texas, USA.

  8. Xiaofeng Ding, Hai Jin, Hui Xu, and Wei Song. Probabilistic Skyline Queries over Uncertain Moving Objects. 
    In Journal of Computing and Informatics (CAI), Pages 32(5): 987-1012 (2013).

  9. Xiaofeng Ding, Hai Jin, and Na Zhao. An Efficient Index Method for Uncertain Moving Objects with Frequent Updates. 
    In The Chinese Journal of Computers(Top Journal in China), Pages, 35 (12): 2587-2597, 2012.

  10. Xiaofeng Ding and Hai Jin. Efficient and Progressive Algorithms for Distributed Skyline Queries over Uncertain Data. 
    In Proceeding of the 30th International Conference on Distributed Computing Systems, (IEEE ICDCS), Pages 149-158, Genoa, Italy, June 21-25, 2010.
    [Acceptance ratio: 14.4% = 84/585]

Working Papers*

Selected Cases

Awards and Honors

Courses Taught

Introduction to Database Systems Algorithm Design and Analysis


In The Media