Publications     

1.     Yubao Wu, Ruoming Jin, and Xiang Zhang. Fast and Unified Local Search for Random Walk Based K-Nearest-Neighbor Query in Large Graphs. Proceedings of the ACM International Conference on Management of Data (SIGMOD), 2014. [pdf]

2.     Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi, and Wei Wang. Graph Regularized Dual Lasso for Robust eQTL Mapping. Bioinformatics, Special Issue of the Proceedings of the International Conference on Intelligent Systems for Molecular Biology (ISMB), 2014. [pdf]

3.     Wei Cheng, Xiaoming Jin, Jiantao Sun, Xuemin Lin, Xiang Zhang, and Wei Wang. “Searching Dimension Incomplete Databases”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(3): 725-738, 2014. [pdf]

4.     Yuhai Zhao, Guoren Wang, Xiang Zhang, Jeffrey Yu, and Zhanghui Wang. “Learning Phenotype Structure Using Sequence Model”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(3): 667-681, 2014. [pdf]

5.     Hongfei Wang and Xiang Zhang. “Binary Time-Series Query Framework for Efficient Quantitative Trait Association Study”, Proceedings of the IEEE International Conference on Data Mining (ICDM), 777-786, 2013. [pdf]

6.     Yubao Wu, Xiaofeng Zhu, Jian Chen, and Xiang Zhang. “EINVis: A Visualization Tool for Exploring Epistatic Interactions Networks in Genetic Association Studies”, Genetic Epidemiology, 37(7), 675-685, 2013. [pdf]

7.     Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick Sullivan and Wei Wang. “Flexible and Robust Co-Regularized Multi-Domain Graph Clustering”, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 320-328, 2013. [pdf]

8.     Zhaojun Zhang, Shunping Huang, Jack Wang, Xiang Zhang, Fernando Pardo Manuel de Villena, Leonard McMillan, and Wei Wang. “GeneScissors: A Comprehensive Approach to Detecting and Correcting Spurious Transcriptome Inference due to RNAseq Reads Misalignment”, Bioinformatics, 29(13): i291-299, Special Issue of the Proceedings of the International Conference on Intelligent Systems for Molecular Biology (ISMB), 2013. [pdf]

9.     Xiang Zhang, Shunping Huang, Zhaojun Zhang, and Wei Wang. “Mining Genome-Wide Genetic Markers”, PLoS Computational Biology, 8(12): e1002828, 2012. [pdf]

10.  Yi Liu, Zhishan Guo, Xiang Zhang, Vladimir Jojic, and Wei Wang. ”Metric Learning from Relative Comparisons by Minimizing Squared Residual”, Proceedings of the IEEE International Conference on Data Mining (ICDM), 978-983, 2012. [pdf]

11.  Wei Cheng, Xiang Zhang, Feng Pan, and Wei Wang. “Hierarchical Co-Clustering Based on Entropy Splitting”, Proceedings of the ACM Conference on Information and Knowledge Management (CIKM), 1472-1476, 2012. [pdf]

12.  Wei Cheng, Xiang Zhang, Yubao Wu, Xiaolin Yin, Jing Li, David Heckerman, and Wei Wang. “Inferring Novel Associations between SNP Sets and Gene Sets in eQTL Study Using Sparse Graphical Model”, Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB), 466-472, 2012. [pdf]

13.  Xiang Zhang, Shunping Huang, Wei Sun, and Wei Wang. “Rapid and Robust Resampling-based Multiple Testing Correction with Application in Genome-Wide eQTL Study”, Genetics, 190(4), 1511-1520, 2012. [pdf]

14.  Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, and Wei Wang. “Dual Transfer Learning”, Proceedings of the SIAM International Conference on Data Mining (SDM), 540-551, 2012. [pdf] (Best Papers Selection)  

15.  Xiang Zhang, Wei Cheng, Jennifer Listgarten, Carl Kadie, Shunping Huang, Wei Wang, and David Heckerman. “Learning Transcriptional Regulatory Relationships Using Sparse Graphical Models”, PLoS One, 7(5): e35762, 2012. [pdf]

16.  Zhaojun Zhang, Xiang Zhang, and Wei Wang. “HTreeQA: Using Semi-perfect Phylogeny Trees in Quantitative Trait Loci Study on Genotype Data”, G3: Genes, Genomes, Genetics, 2(2), 175-189, 2012. [pdf]

17.  Wei Cheng, Xiaochuan Ni, Jian-Tao Sun, Xiaoming Jin, Hye-Chung Kum, Xiang Zhang, and Wei Wang. “Measuring Opinion Relevance in Latent Topic Space”, Proceedings of the IEEE International Conference on Social Computing (SocialCom), 323-330, 2011. [pdf]

18.  Xiang Zhang. “Efficient Algorithms for Detecting Genetic Interactions in Genome-Wide Association Study”, Ph.D. Thesis, University of North Carolina at Chapel Hill, 2011. [pdf] (2012 SIGKDD Dissertation Award Honorable Mention)  

19.  Xiang Zhang, Shunping Huang, Fei Zou, and Wei Wang. “Tools for Efficient Epistasis Detection in Genome-Wide Association Study”, Source Code for Biology and Medicine, 6(1), 1-3, 2011. [pdf]

20.  Xiang Zhang, Shunping Huang, Fei Zou, and Wei Wang. “TEAM: Efficient Two-Locus Epistasis Tests in Human Genome-Wide Association Study”, Bioinformatics, 26(12): i217-227, Special Issue of the Proceedings of the International Conference on Intelligent Systems for Molecular Biology (ISMB), 2010. [pdf] [code]

21.  Xiang Zhang, Feng Pan, and Wei Wang. “Finding High-Order Correlations in High-Dimensional Biological Data”, Link Mining: Models, Algorithms and Applications (Eds. Yu, Han, and Faloutsos), Chapter 19, 505-534, Springer, 2010. [pdf]

22.  Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, and Wei Wang. “COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study”, Journal of Computational Biology (JCB), 17(3), 401-415, 2010. (Invited submission from RECOMB’09) [pdf]

23.  Xiang Zhang, Feng Pan, and Wei Wang. “Efficient Algorithms for Genome-Wide Association Study”, ACM Transactions on Knowledge Discovery from Data (TKDD), 3(4):19, 2009. [pdf]

24.  Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, and Wei Wang. “COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study”, Proceedings of the International Conference on Research in Computational Molecular Biology (RECOMB), 253-269, 2009. [pdf] [code]

25.  Xiang Zhang, Fei Zou, and Wei Wang. “FastChi: an Efficient Algorithm for Analyzing Gene-Gene Interactions”, Proceedings of the Pacific Symposium on Biocomputing (PSB), 528-539, 2009. [pdf]

26.  Xiang Zhang, Feng Pan, and Wei Wang. “REDUS: Finding Reducible Subspaces in High Dimensional Data”, Proceedings of the ACM Conference on Information and Knowledge Management (CIKM), 961-970, 2008. [pdf]

27.  Xiang Zhang, Feng Pan, Wei Wang, and Andrew Nobel. “Mining Non-Redundant High Order Correlations in Binary Data”, Proceedings of the International Conference on Very Large Data Bases (VLDB), 1178-1188, 2008. [pdf]

28.  Xiang Zhang, Fei Zou, and Wei Wang. “FastANOVA: an Efficient Algorithm for Genome-Wide Association Study”, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 821-829, 2008. [pdf] [slides]  [code]  (Best Research Paper Award)  

29.  Feng Pan, Xiang Zhang, and Wei Wang. “CRD: Fast Co-clustering on Large Datasets Utilizing Sample-Based Matrix Decomposition”, Proceedings of the ACM International Conference on Management of Data (SIGMOD), 173-184, 2008. [pdf]

30.  Xiang Zhang, Feng Pan, and Wei Wang. “CARE: Finding Local Linear Correlations in High Dimensional Data”, Proceedings of the IEEE International Conference on Data Engineering (ICDE), 130-139, 2008. [pdf] [slides] (Best Student Paper Award)

31.  Feng Pan, Xiang Zhang, and Wei Wang. “A General Framework for Fast Co-Clustering on Large Datasets Using Matrix Decomposition”, Proceedings of the IEEE International Conference on Data Engineering (ICDE), 1337-1339, 2008. [pdf]

32.  Xiang Zhang and Wei Wang. “An Efficient Algorithm for Mining Coherent Patterns from Heterogeneous Microarrays”, Proceedings of the International Conference on Scientific and Statistical Database Management (SSDBM), 32, 2007. [pdf]

33.  Xiang Zhang, Wei Wang, and Jun Huan. “On Demand Phenotype Ranking through Subspace Clustering”, Proceedings of the SIAM International Conference on Data Mining (SDM), 623-628, 2007. [pdf]

34.  Xiang Zhang and Wei Wang. “Mining Coherent Patterns from Heterogeneous Microarray Data”, Proceedings of the ACM Conference on Information and Knowledge Management (CIKM), 838-839, 2006. [pdf]

35.  Emre Karakoc, Meral Ozsoyoglu, Cenk Sahinalp, Murat Tasan, and Xiang Zhang. “Novel Approaches to Biomolecular Sequence Indexing”, IEEE Data Engineering Bulletin, 27(3): 40-47, 2004. [pdf]

36.  Martin Ester and Xiang Zhang. “A Top-Down Method for Mining Most Specific Frequent Patterns in Biological Sequence Data”, Proceedings of the SIAM International Conference on Data Mining (SDM), 90-101, 2004. [pdf]