Office:Virginia Tech Research Center - Arlington
Mailing Address:Virginia Tech Research Center - Arlington
900 N. Glebe Road
Arlington, VA 22203
571-858-3153 571-858-3015 firstname.lastname@example.org
Postdoctoral Fellow, Stanford University School of Medicine, 2012Ph.D., Electrical Engineering, Virginia Tech, 2011M.S., Electrical Engineering, Tsinghua University, China, 2004B.S., Electronics Engineering, Shandong University, China, 2001
Machine Learning, Pattern Recognition, Optimization, Stochastic Signal Processing.
Data analytics, machine learning, signal and image processing, applied statistics, and their applications to developing computational bioinformatics and neuroinformatics tools, for the integrated modeling and analyses of various human diseases using multiplatform imaging, genomic, and molecular data.
Grants and Projects:
- Multiple assistantships are available for Ph.D students with strong mathematical background and interest in modeling biomedical data as in the following federally funded projects.
- Decoding astrocyte signaling in neural circuitry with novel computational modeling and analytical tools
- Graphical time warping for complex time series: theory, algorithm and application
- Brain activity analysis from large-scale bio-video data
- Data analytics for live imaging
- Title: Automated Functional Analysis of Astrocytes from Chronic Time-Lapse Calcium Imaging DataAuthor(s): Yinxue Wang, Guilai Shi, David J Miller, Yizhi Wang, Congchao Wang, Gerald Broussard, Yue Wang, Lin Tian* and Guoqiang Yu*Journal: Frontiers in Neuroinformatics, July, 2017
- Title: Graphical Time Warping for Joint Alignment of Multiple CurvesAuthor(s): Yizhi Wang, David Miller, Kira Poskanzer, Yue Wang, Lin Tian, Guoqiang Yu*Conference: The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), December 2016
- Title: FASP: A Machine Learning Approach to Functional Astrocyte Phenotyping from Time-Lapse Calcium Imaging DataAuthor(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 DetectionAuthor(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 cancersAuthor(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 GenomeAuthor(s): Xiguo Yuan, Guoqiang Yu, Xuchu Hou, Ie-Ming Shih, Robert Clarke, Junying Zhang, Eric P. Hoffman, Roger R. Wang, Zhen Zhang, and Yue WangJournal: BMC Genomics, 2012
- Title: BACOM: In silico detection of genomic deletion types and correction of normal cell contamination in copy number dataAuthor(s): Guoqiang Yu, Bai Zhang, G. Steven Bova, Jianfeng Xu, Ie-Ming Shih, Yue WangJournal: Bioinformatics, 2011
- Title: PUGSVM: A caBIGTM analytical tool for multiclass gene selection and predictive classificationAuthor(s): Guoqiang Yu, Huai Li, Sook Ha, Ie-Ming Shih, Robert Clarke, Eric P. Hoffman, Subha Madhavan, Jianhua Xuan, Yue WangJournal: Bioinformatics, 2011
- Title: Matched gene selection and committee classifier for molecular classification of heterogeneous diseasesAuthor(s): Guoqiang Yu, Yuanjian Feng, David J. Miller, Jianhua Xuan, Eric P. Hoffman, Robert Clarke, Ben Davidson, Ie-Ming Shih, and Yue WangJournal: Journal of Machine Learning Research, 2010
- Title: Copy number analysis indicates monoclonal origin of lethal metastatic prostate cancerAuthor(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 BovaJournal: Nature Medicine, 2009