Guoqiang Yu

Picture of Guoqiang Yu

Virginia Tech Research Center - Arlington

Mailing Address:
Virginia Tech Research Center - Arlington
900 N. Glebe Road
Arlington, VA 22203


Assistant Professor

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Postdoctoral Fellow, Stanford University School of Medicine, 2012
Ph.D., Electrical Engineering, Virginia Tech, 2011
M.S., Electrical Engineering, Tsinghua University, China, 2004
B.S., Electronics Engineering, Shandong University, China, 2001

Teaching Interests:

Machine Learning, Pattern Recognition, Optimization, Stochastic Signal Processing.

Research Interests:

Machine learning, signal and image processing, applied statistics, and their applications to developing computational bioinformatics and systems genetics tools, for the integrated modeling and analyses of various human diseases using multiplatform genomic, epigenetic and molecular data.

Selected Publications:
  • Title: Graphical Time Warping for Joint Alignment of Multiple Curves
    Author(s): Yizhi Wang, David Miller, Kira Poskanzer, Yue Wang, Lin Tian, Guoqiang Yu*
    Conference: The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Accepted, December 2016
  • Title: FASP: A Machine Learning Approach to Functional Astrocyte Phenotyping from Time-Lapse Calcium Imaging Data
    Author(s): Yinxue Wang, Guilai Shi, David J. Miller, Yizhi Wang, Gerard Broussard, Yue Wang, Lin Tian, and Guoqiang Yu*
    Conference: the International Symposium on Biomedical Imaging (ISBI'16), April 2016
  • Title: PPSD: Probability Principled Synapse Detection
    Author(s): Yizhi Wang, Guilai Shi, Yinxue Wang, Lin Tian, Guoqiang Yu*
    Conference: BioImage Informatics Conference 2015, October 2015
  • Title: AISAIC: a software suite for accurate identification of significant aberrations in cancers
    Author(s): Bai Zhang, Xuchu Hou, Xiguo Yuan, Ie-Ming Shih, Zhen Zhang, Robert Clarke, Roger R. Wang, Yi Fu, Subha Madhavan, Yue Wang, Guoqiang Yu*
    Journal: Bioinformatics, 2013
  • Title: Genome-wide Identification of Significant Aberrations in Cancer Genome
    Author(s): Xiguo Yuan, Guoqiang Yu, Xuchu Hou, Ie-Ming Shih, Robert Clarke, Junying Zhang, Eric P. Hoffman, Roger R. Wang, Zhen Zhang, and Yue Wang
    Journal: BMC Genomics, 2012
  • Title: BACOM: In silico detection of genomic deletion types and correction of normal cell contamination in copy number data
    Author(s): Guoqiang Yu, Bai Zhang, G. Steven Bova, Jianfeng Xu, Ie-Ming Shih, Yue Wang
    Journal: Bioinformatics, 2011
  • Title: PUGSVM: A caBIGTM analytical tool for multiclass gene selection and predictive classification
    Author(s): Guoqiang Yu, Huai Li, Sook Ha, Ie-Ming Shih, Robert Clarke, Eric P. Hoffman, Subha Madhavan, Jianhua Xuan, Yue Wang
    Journal: Bioinformatics, 2011
  • Title: Matched gene selection and committee classifier for molecular classification of heterogeneous diseases
    Author(s): Guoqiang Yu, Yuanjian Feng, David J. Miller, Jianhua Xuan, Eric P. Hoffman, Robert Clarke, Ben Davidson, Ie-Ming Shih, and Yue Wang
    Journal: Journal of Machine Learning Research, 2010
  • Title: An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions
    Author(s): David J. Miller, Yanxin Zhang, Guoqiang Yu, Yongmei Liu, Li Chen, Carl D. Langefeld, David Herrington, and Yue Wang
    Journal: Bioinformatics, 2009
  • Title: Copy number analysis indicates monoclonal origin of lethal metastatic prostate cancer
    Author(s): Wennuan Liu, Sari Laitinen, Sofia Khan, Mauno Vihinen, Jeanne Kowalski, Guoqiang Yu, Li Chen, Srinivasan Yegnasubramanian, Jun Luo, Yue Wang, Jianfeng Xu, William B. Isaacs, Tapio Visakorpi, and G. Steven Bova
    Journal: Nature Medicine, 2009