Associate Professor of Statistics, Psychology and Bioengineering

Ph.D. in Electrical Engineering, Yale University

Website

Research Interests

• Statistical inference, modeling, and learning with applications to biomedical imaging and computation
• Structural and functional brain image analysis and measurement
• Analysis and modeling of fMRI time series
• Multi-modal integration of neuroimaging data

Honors and Appointments

• Neuroimage Fellowship Award, Yale University (1999-2000)
• Assistant Professor, Dept. of Information Engineering, Chinese University of Hong Kong (2001-2002)
• Associate Research Scientist, Diagnostic Radiology and Electrical Engineering, Yale University (2002-2004)
• Assistant Professor, Departments of Statistics, Psychology and Bioendgineering, UIUC (2004-2011)
• Associate Professor, Departments of Statistics, Psychology, and Bioengineering, UIUC (2011-)
• Assistant and Associate Professor, Beckman Institute for Advanced Science and Technology, UIUC (2006-)

Selected Publications

• Wang, Y., and Staib, L.H. (1998). Boundary finding with correspondence using statistical shape models. IEEE Conf. on Computer Vision and Pattern Recognition, pp. 338-345.
• Wang, Y., and Staib, L.H. (1998). Elastic model based non-rigid registration incorporating statistical shape information. Medical Image Computing and Computer-Assisted Intervention, pp. 1162-1173.
• Wang, Y., and Staib, L.H. (1998). Integrated approaches to non-rigid registration in medical images. IEEE Workshop on Applications of Computer Vision, pp. 102-108.
• Wang, Y., and Staib, L.H. (2000). Boundary finding with prior shape and smoothness models. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(7), 738-743.
• Wang, Y., Peterson, B.S., and Staib, L.H. (2000). Shape-based 3D surface correspondence using geodesics and local geometry. IEEE Conf. on Computer Vision and Pattern Recognition, pp. 644-651.
• Wang, Y., and Staib, L.H. (2000). Physical model-based non-rigid registration incorporating statistical shape information. Medical Image Analysis, 4(1), 7-20.
• Wang, Y., Zhang, Z, and Guo, B. (2001). 3D image interpolation based on directional coherence. IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, pp. 195-202.
• Wang, Y., and Zhang, H. (2001). Content-based image orientation detection with support vector machines. IEEE Workshop on Content-Based Access of Image and Video Libraries, pp. 17-23.
• Zhang, J., Wang, Y., and Guo, B. (2002). Pyramidal search of maximum coherence direction for biomedical image interpolation. IEEE International Symposium on Biomedical Imaging, pp. 887-890.
• Wang, Y.M., Peterson, B.S., and Staib, L.H. (2003). 3D brain surface matching based on geodesics and local geometry. Computer Vision and Image Understanding, 89(2-3), 252-271.
• Wang, Y.M., Schultz, R.T., Constable, R.T., and Staib, L.H. (2003). Nonlinear estimation and modeling of fMRI data using spatio-temporal support vector regression. Information Processing in Medical Imaging, pp. 647-659.
• Wang, Y.M., and Zhang, H. (2004). Detecting image orientation based on low-level visual content. Computer Vision and Image Understanding, 93(3), 328-346.
• Wang, Y.M., Zhang, J., Zhang, Z., and Guo, B. (2004). Directional coherence interpolation for three-dimensional grey-level images. International Journal of Image and Graphics, 4(4), 535-561.
• Wang, Y.M. (2005). Modeling and nonlinear analysis in fMRI via statistical learning. In: Advanced Image Processing in Magnetic Resonance Imaging, Marcel Dekker International Publisher, editors: L. Landini, V. Positano, and M.F Santarelli, pp. 565-586.
• Bansal, R., Staib, L.H., Whitman, R., Wang, Y.M., Peterson, B.S. (2005). ROC based assessments of 3D cortical surface-matching algorithms. NeuroImage, 24(1), 150-162.
• Wang, Y.M., Xia, J., Marden, J. (2007). Multiple correlation and multi-seed for robust inference of functional connectivity in fMRI. IEEE International Symposium on BIomedical Imaing, in press.
• Zhou, C., Park, D.C., Styner, M., Wang, Y.M. (2007). ROI constrained statistical surface morphometry. IEEE International Symposium on Biomedical Imaging, in press.