Yanting Ma


Graduate Student
Electrical & Computer Engineering
North Carolina State University

Contact: yma7@ncsu.edu

News

  • Y. Ma, C. Rush, D. Baron, "Analysis of Approximate Message Passing with Non-Separable Denoisers and Markov Random Field Priors", submitted, November, 2017.

  • Defended my Ph.D. dissertation, October, 2017.

  • Y. Ma, H. Mansour, D. Liu, P. Boufounos, U. Kamilov, "Convergent and Accelerated Image Reconstruction for Nonlinear Diffractive Imaging", submitted, October, 2017. (This work was completed while I was an intern with MERL in 2017.)

  • Research intern at Mitsubishi Electric Research Laboratories (MERL), supervisor: Dr. Ulugbek Kamilov (now professor at Washington University in St. Louis), Cambridge, MA, May - August 2017.

  • Y. Ma, D. Liu, H. Mansour, U. Kamilov, Y. Taguchi, P. Boufounos, A. Vetro, "Fusion of Multi-Angular Aerial Images based on Epipolar Geometry and Matrix Completion", IEEE Int. Conf. Image Process. (ICIP), Beijing, China, September 2017. (pdf). (This work was completed while I was an intern with MERL in 2016.)

  • Y. Ma, C. Rush, D. Baron, "Analysis of Approximate Message Passing with a Class of Non-separable Denoisers", IEEE Int. Symp. Inf. Theory (ISIT), Aachen, Germany, June 2017. (full version on arxiv).

  • Y. Ma, Y. M. Lu, D. Baron, "Multiprocessor Approximate Message Passing with Column-Wise Partitioning", IEEE Int. Conf. Acoustics, Speech, Signal Process. (ICASSP), March 2017 (full version on arxiv, pdf).


Education

  2012 - 2017 Ph.D. in Electrical Engineering (minor in Applied Mathematics), North Carolina State University, USA.
    Major Advisor: Prof. Dror Baron, Minor Committee Member: Prof. Jack Silverstein

  2008 - 2012 B.E. in Communication Engineering, Wuhan University, China.
    Advisor: Prof. Xin Xu


Internships

  • Research intern at Mitsubishi Electric Research Laboratories (MERL), supervisor: Dr. Ulugbek Kamilov, Cambridge, MA, May - August 2017.

  • Research intern at Mitsubishi Electric Research Laboratories (MERL), supervisor: Dr. Dehong Liu, Cambridge, MA, May - August 2016.


Research Interest

My research interests are mainly in low complexity algorithm design and analysis for large-scale linear and nonlinear inverse problems using approximate message passing (AMP) and optimization techniques. Specifically, I am currently most interested in inverse problems in computational imaging. I also find mean-field theory and concentration inequalities exciting, both in their connection to the study of AMP and on their own. Additionally, I am generally interested in applied probability, stochastic processes, convex analysis, and partial differential equations.


Publications

  • Y. Ma, C. Rush, D. Baron, "Analysis of Approximate Message Passing with Non-Separable Denoisers and Markov Random Field Priors", submitted, November, 2017.

  • Y. Ma, H. Mansour, D. Liu, P. Boufounos, U. Kamilov, "Convergent and Accelerated Image Reconstruction for Nonlinear Diffractive Imaging", submitted, October, 2017. (This work was completed while I was an intern with MERL in 2017.)

  • Y. Ma, D. Liu, H. Mansour, U. Kamilov, Y. Taguchi, P. Boufounos, A. Vetro, "Fusion of Multi-Angular Aerial Images based on Epipolar Geometry and Matrix Completion", IEEE Int. Conf. Image Process. (ICIP), Beijing, China, September 2017. (pdf).

  • Y. Ma, C. Rush, D. Baron, "Analysis of Approximate Message Passing with a Class of Non-separable Denoisers", IEEE Int. Symp. Inf. Theory (ISIT), Aachen, Germany, June 2017. (arxiv).

  • Y. Ma, Y. M. Lu, D. Baron, "Multiprocessor Approximate Message Passing with Column-Wise Partitioning", IEEE Int. Conf. Acoustics, Speech, Signal Process. (ICASSP), March 2017 (arxiv, pdf).

  • Y. Ma, J. Zhu, D. Baron, "Approximate Message Passing Algorithm with Universal Denoising and Gaussian Mixture Learning", IEEE Trans. Signal Process., vol 64, no. 21, pp. 5611-5622, November 2016 (arxiv, pdf).

  • J. Tan, Y. Ma, H. Rueda, D. Baron, G. Arce, "Compressive hyperspectral imaging via approximate message passing", IEEE J. Sel. Topics Signal Process., 2015 (arxiv, pdf).

  • J. Tan, Y. Ma, H. Rueda, D. Baron, G. Arce, "Approximate message passing in coded aperture snapshot spectral imaging", Proc. IEEE Global Conf. Signal Inf. Process., Orlando, FL, Dec. 2015 (arxiv, pdf, slides).

  • Y. Ma, D. Baron, A. Beirami, "Mismatched Estimation in Large Linear Systems", Proc. IEEE Int. Symp. Inf. Theory, Hong Kong, June 2015 (arxiv, pdf, slides).

  • J. Tan, Y. Ma, D. Baron, "Compressive Imaging via Approximate Message Passing with Image Denoising", IEEE Trans. Signal Process., vol 63, no. 8, pp. 2085-2092, April 2015 (arxiv, pdf).

  • J. Tan, Y. Ma, D. Baron, "Compressive Imaging via Approximate Message Passing with Wavelet-Based Image Denoising", IEEE Global Conf. Signal Inf. Process., Atlanta, GA, December 2014 (pdf, slides).

  • Y. Ma, J. Zhu, D. Baron, "Compressed Sensing via Universal Denoising and Approximate Message Passing", Proc. 52nd Allerton Conf. Communication, Control, and Computing, Monticello, IL, October 2014 (arxiv, pdf, slides).

  • Y. Ma, D. Baron, D. Needell, "Two-Part Reconstruction with Noisy-Sudocodes", IEEE Trans. Signal Process., vol 62, no. 23, pp. 6323-6334, December 2014 (arxiv, pdf, code).

  • Y. Ma, J. Tan, N. Krishnan, D. Baron, "Empirical Bayes and Full Bayes for Signal Estimation", May 2014 (arxiv, pdf).

  • Y. Ma, D. Baron, D. Needell, "Two-Part Reconstruction in Compressed Sensing", IEEE Global Conf. Signal Inf. Process., Austin, TX, December 2013 (arxiv, pdf, poster).


Workshops

  • Poster presentation: Two-Part Reconstruction in Noisy Compressed Sensing, Duke Workshop on Sensing and Analysis of High-Dimensional Data, Durham, NC, July 2013 (poster).

  • Poster presentation: Universal Denoising in Approximate Message Passing, Duke Workshop on Sensing and Analysis of High-Dimensional Data, Durham, NC, July 2015 (poster).


Links

  Advice on Mathematics - a webpage that I randomly visited, and felt like sharing.

  Online Video Lectures

  Nice website for studying Korean


Last updated:11/12/2017