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Michelle Yongmei Wang

Profile picture for Michelle Yongmei Wang

Contact Information

116 C Illini Hall
725 S. Wright St.
M/C 374
Champaign, IL 61820

Associate Professor

Research Interests

Statistical/mathematical methods, machine learning and data mining
Signal and imaging processing, computation, and analysis
Quantitative and cognitive psychology
Precision medicine

Research Description

Quantitative/mathematical methods and modeling in psychology

Brain and cognitive sciences

Education

Ph.D., Yale University

Courses Taught

Covariance Structure and Factor Models
Methods of Applied Statistics
Applied Regression and Design
Image and Neuroimage Analysis
Statistics and Probability
Image Processing with Matlab
Introduction to Statistics
Signals and Systems

Additional Campus Affiliations

Associate Professor, Statistics
Associate Professor, Psychology
Associate Professor, Bioengineering

Recent Publications

Zwilling, C. E., & Wang, M. Y. (2016). Covariance based outlier detection with feature selection. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (pp. 2606-2609). Article 7591264 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2016-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7591264

Zwilling, C. E., & Wang, M. Y. (2014). Multivariate voronoi outlier detection for time series. In 2014 IEEE Healthcare Innovation Conference, HIC 2014 (pp. 300-303). Article 7038934 (2014 IEEE Healthcare Innovation Conference, HIC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HIC.2014.7038934

Vo, L. T. K., Walther, D. B., Kramer, A. F., Erickson, K. I., Boot, W. R., Voss, M. W., Prakash, R. S., Lee, H., Fabiani, M., Gratton, G., Simons, D. J., Sutton, B. P., & Wang, M. Y. (2011). Predicting individuals' learning success from patterns of pre-learning MRI activity. PloS one, 6(1), Article e16093. https://doi.org/10.1371/journal.pone.0016093

Sakoğlu, Ü., Pearlson, G. D., Kiehl, K. A., Wang, Y. M., Michael, A. M., & Calhoun, V. D. (2010). A method for evaluating dynamic functional network connectivity and task-modulation: Application to schizophrenia. Magnetic Resonance Materials in Physics, Biology and Medicine, 23(5-6), 351-366. https://doi.org/10.1007/s10334-010-0197-8

Wang, Y. M., & Xia, J. (2009). Unified framework for robust estimation of brain networks from fMRI using temporal and spatial correlation analyses. IEEE transactions on medical imaging, 28(8), 1296-1307. Article 4785525. https://doi.org/10.1109/TMI.2009.2014863

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