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Xiang Zhang |
I am a Ph.D. student in the Department of Computer Science at University of North
Carolina at Chapel Hill advised by Wei Wang. My work is currently
supported by a Microsoft
Research Ph.D. Fellowship. Prior to UNC, I got a Master degree from School of Computing Science at Simon Fraser University in Canada, and a Bachelor
degree from School of
Computer Science and Technology at Huazhong
University of Science and Technology in China.
[Curriculum Vitae]
[Research Statement] [Teaching Statement]
Research Interests
- Computational Genetics & Bioinformatics
- Data Mining & Machine Learning
Journal Publications
- COE: A General Approach for Efficient
Genome-Wide Two-Locus Epistasis Test in Disease Association Study
Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, and Wei Wang.
Journal of Computational Biology (JCB), to appear, 2010. (Selected papers from RECOMB ’09) - Efficient
Algorithms for Genome-Wide Association Study
Xiang Zhang, Fei Zou, and Wei Wang.
ACM Transactions on Knowledge Discovery from Data (TKDD), 3(4):19, 2009. - Novel Approaches to
Biomolecular Sequence Indexing
Emre Karakoc, Meral Ozsoyoglu, Cenk Sahinalp, Murat Tasan, and Xiang Zhang.
IEEE Data Engineering Bulletin, 27(3): 40-47, 2004.
Conference Publications
- COE:
A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in
Disease Association Study
Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, and Wei Wang.
International Conference on Research in Computational Molecular Biology (RECOMB), 2009. - FastChi: an Efficient Algorithm for
Analyzing Gene-Gene Interactions
Xiang Zhang, Fei Zou, and Wei Wang.
Pacific Symposium on Biocomputing (PSB), 2009. - REDUS: Finding Reducible Subspaces in
High Dimensional Data
Xiang Zhang, Feng Pan, and Wei Wang.
ACM Conference on Information and Knowledge Management (CIKM), 2008. - Mining Non-Redundant High Order
Correlations in Binary Data
Xiang Zhang, Feng Pan, and Wei Wang.
International Conference on Very Large Data Bases (VLDB), 2008. - FastANOVA: an Efficient Algorithm
for Genome-Wide Association Study
Xiang Zhang, Fei Zou, and Wei Wang.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2008. (Best Research Paper Award) - CRD: Fast Co-clustering on Large
Datasets Utilizing Sample-Based Matrix Decomposition
Feng Pan, Xiang Zhang, and Wei Wang.
ACM International Conference on Management of Data (SIGMOD), 2008. - CARE:
Finding Local Linear Correlations in High Dimensional Data
Xiang Zhang, Feng Pan, and Wei Wang.
IEEE International Conference on Data Engineering (ICDE), 2008. (Best Student Paper Award) - A General Framework for Fast
Co-Clustering on Large Datasets Using Matrix Decomposition
Feng Pan, Xiang Zhang, and Wei Wang.
IEEE International Conference on Data Engineering (ICDE), 2008. - An Efficient
Algorithm for Mining Coherent Patterns from Heterogeneous Microarrays
Xiang Zhang and Wei Wang.
International Conference on Scientific and Statistical Database Management (SSDBM), 2007. - On
Demand Phenotype Ranking through Subspace Clustering
Xiang Zhang, Wei Wang, and Jun Huan.
- Mining Coherent Patterns from Heterogeneous Microarray Data
Xiang Zhang and Wei Wang.
ACM Conference on Information and Knowledge Management (CIKM), 2006. - A Top-Down Method for Mining
Most Specific Frequent Patterns in Biological Sequence Data
Martin Ester and Xiang Zhang.