Fang Qiong

Time:2015-07-25

 

Name: Fang Qiong
Introduction:

 


Ph. D  ,  Associate Professor
Email: sefangq@scut.edu.cn

Address: School of Software Engineering,South China University of Technology

 

Research Interests:
Bioinformatics, Large-scale Data Analysis, Database and Data mining.


Biography:
Dr. Fang received the Doctor's degree from the Computer Science and Engineering (CSE) department at the Hong Kong University of Science and Technology (HKUST). After graduation, she worked as a post-doctoral researcher in the CSE department at HKUST. She joined the School of Software Engineering at SCUT on September 2015, funded by the High-Level Talents Recruitment Program of SCUT. Qiong's research interests are Bioinformatics, Large-scale Data Analysis, Database and Data Mining. Her research work was published in top database and data mining conferences such as SIGKDD, SIGMOD, VLDB, ICDM, DASFAA, and top journals such as ACM TODS, IEEE TKDE, KAIS and etc.

For those students who you have interests in my research, please contact me and work with me on some interesting research problems.

 

Publication:
 

·        Qiang Huang, Jianlin Feng, Yikai Zhang, Qiong Fang, Wilfred Ng. Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search. Accepted and to Appear in VLDB, 2016.

 

·        Yuanfeng Song, Wilfred Ng, Kenneth Leung and Qiong Fang*. SFP-Rank: Significant Frequent Pattern Analysis for Effective Ranking. International Journal of Knowledge and Information Systems (KAIS’14), pp 1-25, March 2014. (*Corresponding Author)

 

·        Qiong Fang, Wilfred Ng, Jianlin Feng and Yuliang Li. Mining Order-Preserving Submatrices from Probabilistic Matrices. ACM Transactions on Database Systems (TODS’14), volume 39, issue 1, Jan. 2014.

 

·        Yuanfeng Song, Kenneth Leung, Qiong Fang and Wilfred Ng. FP-Rank: An Effective Ranking Approach Based on Frequent Pattern Analysis. In: Proceedings of International Conference on Database Systems for Advanced Applications (DASFAA’13), Lecture Notes in Computer Science volume 7826, pp 354-369, 2013.

 

·        Qiong Fang, Wilfred Ng, Jianlin Feng, Yuliang Li. Mining Bucket Order-Preserving SubMatrices in Gene Expression Data. IEEE Transactions on Knowledge and Data Engineering (TKDE’12), volume 24, issue no 12, December 2012.

 

·        Junhao Gan, Jianlin Feng, Qiong Fang, Wilfred Ng. Locality-Sensitive Hashing Scheme Based on Dynamic Collision Counting. In: Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD’12), Scottsdale, USA, 2012.

 

·        Qiong Fang, Jianlin Feng, Wilfred Ng. Identifying Differentially-Expressed Genes via Weighted Rank Aggregation. In: Proceedings of the 11th IEEE International Conference on Data Mining (ICDM’11), pp. 1038-1043, Vancouver, Canada 2011.

 

·        Qiong Fang, Wilfred Ng, Jianlin Feng. Discovering Significant Relaxed Order-Preserving Submatrices. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD’10), pp. 433-442. Washington, DC, USA, 2010.

 

·        Jianlin Feng, Qiong Fang, Wilfred Ng. Discovering Bucket Orders from Full Rankings. In: Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD’08), pp. 55-66. Vancouver, Canada, 2008.

 

 

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