Publication List

Journal Papers:

  1. Wang, Y., Consistency and Convergence Rate for Nearest Subspace Classifier, Information and Inference: A Journal of the IMA, Vol. 6, No. 1, pp. 41-57, 2017. [pdf][code]

  2. 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, Vol. 118, No. 6, pp. 811-815, 2016.

  3. 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, Vol. 9, No. 9, 2016. [pdf][code]

  4. 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. [pdf_main][pdf_supplementary][arXiv][code]

  5. Mahabal, A., Faraway, J., Zhang, L., Wang, Y., Wang, X. and Sun, J., Modeling Light Curves for Improved Classification, Statistical Analysis and Data Mining, Vol. 9, No. 1, pp. 1-11, 2016. [arXiv]

  6. 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, Vol. 10, No. 5, pp. 889-907, 2016.

  7. Wang, Y., Wu, H., Daubechies, I., Li, Y., Estes, E.H. and Soliman, E.Z., Automated J Wave Detection from Digital 12-lead Electrocardiogram, Journal of Electrocardiology, Vol. 48, No. 1, pp. 21-28, 2015.

  8. 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. [pdf][code]

  9. Zhang, T., Szlam, A., Wang, Y. and Lerman, G., Hybrid Linear Modeling via Local Best Flats, International Journal of Computer Vision, 100(3): 217-240, 2012. [code]

Referred Conference Papers:

  1. Wang, Y. and Szlam, A., K-Mappings and Regression Trees. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014. [pdf][code]

  2. Wang, Y. and Porikli, F., Multiple Dictionary Learning for Blocking Artifacts Reduction, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012. [pdf]

  3. 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.

  4. Zhang, T., Szlam, A., Wang, Y., and Lerman, G., Randomized hybrid linear modeling by local best- flats. IEEE Conference on Computer Vision and Pattern Recognition, 2010. [arXiv][code]