xiang

Xiang Zhang


T&D Schroeder Assistant Professor
Electrical Engineering and Computer Science
Case Western Reserve University

10900 Euclid Avenue
Cleveland, OH 44106


Office: Olin 515
Phone: (216) 368-6197

Email: xiang.zhang[at]case[dot]edu

 

 

 

 

 

 


 

I am the T&D Schroeder Assistant professor in the Department of Electrical Engineering and Computer Science at Case Western Reserve University. I received my Ph.D. in Computer Science from the University of North Carolina at Chapel Hill in 2011. My research bridges the areas of data mining, database and bioinformatics. I am particularly interested in developing algorithms and models for analyzing massive data sets generated in social, biological and medical domains.

 

[Current Directions]

 


 

For Prospective Students: I am actively looking for highly motivated and qualified PhD students who are interested in data mining and big data analytics. Please email me your resume if interested.

 


Honors and Awards

·       NSF CAREER Award, 2016

·       T&D Schroeder Assistant Professorship, CWRU, 2013-2016

·       ICDM Best Paper Candidate, 2015

·       Faculty Award for Excellence in Research, EECS, CWRU, 2012

·       ACM SIGKDD Dissertation Award Honorable Mention, 2012

·       SDM Best Paper Candidate, 2012

·       Microsoft Research Ph.D. Fellowship, 2009-2011

·       SIGKDD Best Research Paper Award, 2008

·       ICDE Best Student Paper Award, 2008

 


Teaching

·       EECS 435: Data Mining, Spring, 2012 - 2016

·       EECS 341: Introduction to Database Systems, Fall, 2013 - 2015, Spring, 2016

 


Publications

·       Yubao Wu, Yuchen Bian, and Xiang Zhang. "Remember Where You Came From: On the Second-Order Random Walk Based Proximity Measures", Proceedings of the International Conference on Very Large Data Bases (VLDB), 2017.

·       Wei Cheng, Xiang Zhang, and Wei Wang. "Robust Methods for Expression Quantitative Trait Loci Mapping", Big Data Analytics in Genomics. Springer (New York), 2016.

·       Wei Cheng, Yu Shi, Xiang Zhang, and Wei Wang. "Sparse Regression Models for Unraveling Group and Individual Associations in eQTL Mapping", BMC Bioinformatics. 2016.

·       Wei Cheng, Zhishan Guo, Xiang Zhang, and Wei Wang. "CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering", Transactions on Knowledge Discovery from Data (TKDD), 2016.

·       Yubao Wu, Ruoming Jin, and Xiang Zhang. “Efficient and Exact Local Search for Random Walk Based Top-K Proximity Query in Large Graphs”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016. [pdf]

·       Yubao Wu, Xiaofeng Zhu, Li Li, Wei Fan, Ruoming Jin, and Xiang Zhang. “Mining Dual Networks: Models, Algorithms and Applications”, ACM Transactions on Knowledge Discovery from Data (TKDD), 2016. [pdf]

·       Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, and Xiang Zhang. “Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment”, Proceedings of the IEEE International Conference on Data Mining (ICDM), 2015. [pdf] (Best Paper Candidate)  

·       Jingchao Ni, Hanghang Tong, Wei Fan, and Xiang Zhang. "Flexible and Robust Multi-Network Clustering", Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2015. [pdf][code]

·       Wei Cheng, Xiang Zhang, Feng Pan, and Wei Wang. "HICC: An Entropy Splitting Based Framework for Hierarchical Co-Clustering", Knowledge and Information Systems (KAIS), 2015. [pdf]

·       Yubao Wu, Ruoming Jin, Jing Li, and Xiang Zhang. "Robust Local Community Detection: On Free Rider Effect and Its Elimination", Proceedings of the International Conference on Very Large Data Bases (VLDB), 8(7): 798-809, 2015. [pdf] [code]

·       Wei Cheng, Yu Shi, Xiang Zhang, and Wei Wang. "Fast and Robust Group-Wise eQTL Mapping Using Sparse Graphical Models", BMC Bioinformatics, 16:2, 2015. [pdf]

·       Yubao Wu, Ruoming Jin, Xiaofeng Zhu, and Xiang Zhang. "Finding Dense and Connected Subgraphs in Dual Networks", Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2015. [pdf] [code]

·       Yang Chen, Xiang Zhang, Guoqiang Zhang, and Rong Xu. "Comparative Analysis of a novel Disease Phenotype Network based on Clinical Manifestations", Journal of Biomedical Informatics, 53: 113-120, 2015. [pdf]

·       Wenhui Wang, Sen Yang, Xiang Zhang, and Jing Li. "Drug Repositioning by Integrating Target Information through a Heterogeneous Network Model", Bioinformatics, 30(20): 2923-2930, 2014. [pdf]

·       Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw Szymanski, and Jian Lu. "Dual-Regularized One-Class Collaborative Filtering", Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), 2014. [pdf]

·       Jingchao Ni, Hanghang Tong, Wei Fan, and Xiang Zhang. "Inside the Atoms: Ranking on a Network of Networks", Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 1356-1365, 2014. [pdf][code]

·       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), 1139-1150, 2014. [pdf][code]

·       Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi, and Wei Wang. "Graph Regularized Dual Lasso for Robust eQTL Mapping", Bioinformatics, 30(12): i139-i148, Special Issue of the Proceedings of the International Conference on Intelligent Systems for Molecular Biology (ISMB), 2014. [pdf]

·       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]

·       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]

·       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]

·       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]

·       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]

·       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]

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

·       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]

·       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]

·       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]

·       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]

·       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 Paper Candidate)  

·       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]

·       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]

·       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]

·       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)  

·       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]

·       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]

·       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]

·       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]

·       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]

·       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]

·       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]

·       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]

·       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]

·       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][code] (Best Research Paper Award)  

·       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]

·       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] (Best Student Paper Award)

·       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]

·       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]

·       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]

·       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]

·       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]

·       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]

 


 

Acknowledgement: My research is partially supported by NSF and NIH.