Yi Grace Wang

Assistant Professor, Mathematics


Research Interests

  • Computational Harmonic Analysis
  • Statistical Learning
  • Modeling High-Dimensional Data Clouds by Low-Dimensional Structures
  • Image Processing
  • Computer Vision




Education

Ph.D. Mathematics, University of Minnesota, 2012

M.A. Statistics, University of Minnesota, 2012

B.A. Mathematics, Huazhong University of Science and Technology, China, 2005




Publications

In preparation


  • Lei, J., Liu, K., Shen, L., and Wang, Y., Ventricular Anatomical Measurements Improves the Prediction of Cardiac Resynchronization Therapy Response, in preparation.
  • Abry, P., Daubechies, I., Jaffard S., Wang, Y. and Wendt, H., A Review of Forgery Detection in Paintings with new Discoveries, in preparation.
  • Wang, Y. and Zhang, L. Robust Nonnegative Low-Rank Matrix Recovery, in preparation.
  • Guo, W., Raskutti, G., Sun, J., Wang, Y. and Yang, D., Compressive Support Detection based on Multiple Hypothesis Testing and Tube Method, in preparation.

Journal Papers


  • O’Neal W.T., Wang, Y., Wu, H.-T., Zhang, ZM., Li, Y., Tereshchenko, LG., Estes, EH., Daubechies, I. and Soliman, EZ. Electrocardiographic J-Wave and Cardiovascular Outcomes in the General Population (from the Atherosclerosis Risk in Communities Study), The American Journal of Cardiology, DOI 10.1016/j.amjcard.2016.06.047, 2016.
  • Wang, Y., Chen, G., and Maggioni M., High Dimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI: 10.1109/JSTARS.2016.2539968, 2016.
  • Wang, Y., Consistency and Convergence Rate for Nearest Subspace Classifier, Information and Inference: A Journal of the IMA, DOI: 10.1093/imaiai/iaw006, 2016.
  • Daubechies, I., Wang, Y., and Wu, H., ConceFT: Concentration of Frequency and Time via a multitapered synchrosqueezed transform, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2065): 20150193, 2016.
  • Mahabal, A., Faraway, J., Zhang, L., Wang, Y., Wang, X. and Sun, J., Modeling Light Curves for Improved Classification, Statistical Analysis and Data Mining, DOI: 10.1002/sam.11305, 2016.
  • Wang, T., Chen, Y., Wang, Y., Wang, B., Wang, G., Li, X., Zheng, H. and Zhao, B., The Power of Comments: Fostering Social Interactions in Microblog Networks, Springer. Frontiers of Computer Science, DOI: 10.1007/s11704-016-5198-y, 2015.
  • Wang, Y., Wu, H., Daubechies, I., Li, Y., Estes, H., and Soliman, E. Automated J Wave Detection from Digital 12-lead Electrocardiogram, Journal of Electrocardiology, Vol. 48, No. 1, pp. 21-28, 2015.
  • Wang, Y., Szlam, A. and Lerman, G., Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting, SIAM Journal on Imaging Sciences (SIIMS), Vol. 6, No. 1, pp. 526-562, 2013.
  • Zhang, T., Szlam, A., Wang, Y. and Lerman, G., Hybrid Linear Modeling via Local Best Flats, International Journal of Computer Vision, Volume 100, Issue 3, pp. 217-240, 2012.

Refereed Conference Papers


  • Wang, Y. and Szlam, A., K-Mappings and Regression Trees, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014.
  • Wang, Y. and Porikli, F., Multiple Dictionary Learning for Blocking Artifacts Reduction, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Paper: IVMSP-P4.8, March 2012.
  • Hunt, F. Y., Marbukh, V. and Wang, Y., A Mathematical Model of Joint Congestion Control and Routing in Multisource Networks, Proceedings of the IEEE International Conference on Control Applications, CCA 2011.
  • Zhang, T., Szlam, A., Wang, Y. and Lerman, G., Randomized Hybrid Linear Modeling by Local Best-fit Flats, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.




Contact Information


Mailing Address:
215 Carnegie Building
Syracuse, NY 13244-1150

Fax: (315) 443-1475