Jin Tan

Graduate Student (Aug. 2010 - Sept. 2015)
Electrical & Computer Engineering
North Carolina State Universty

Contact: jtan@ncsu.edu

News
I have successfully defended on Sept. 4th, 2015!
Videos
  •     Tutorial video about our work on compressive imaging, July 2015.
  •     Tutorial video about our work on signal reconstruction with additive error metrics, Dec. 2013.
  •     Video advertising a conference presentation at the ITA Workshop; Feb. 2013.

    Education
        2012 - 2015 Ph.D in Electrical Engineering, NC State University, USA.
                Advisor: Professor Dror Baron
        2012 - M.S. in Electrical Engineering, NC State University, USA.
        2010 - B.S. in Microelectronics, Fudan University, Shanghai, China.
                Advisor: Professor Xiaoyang Zeng

    Research Interest
        Compressed Sensing, Statistical Signal Processing
    Publications
        J. Tan, Y. Ma, H. Rueda, D. Baron, G. Arce, "Compressive hyperspectral imaging via approximate message passing," to appear in IEEE J. Sel. Topics Signal Process., 2015 (pdf, arXiv).
        J. Tan, Y. Ma, H. Rueda, D. Baron, G. Arce, "Approximate message passing in coded aperture snapshot spectral imaging," to appear in Globalsip, Dec. 2015 (pdf, arXiv).
        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 (pdf, arXiv).
        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, Dec. 2014 (pdf, slides).
        J. Tan, D. Baron, and L. Dai, "Wiener filters in Gaussian mixture signal estimation with l∞-norm error," IEEE Trans. Inf. Theory, vol. 60, no. 10, pp. 6626-6635, Oct. 2014 (pdf, arXiv).
        Y. Ma, J. Tan, N. Krishnan, D. Baron, "Empirical Bayes and Full Bayes for Signal Estimation," May 2014 (pdf, arXiv).
        J. Tan, D. Baron, and L. Dai, "Signal Estimation with Low Infinity-Norm Error by Minimizing the Mean p-Norm Error," Conf. Inf. Sciences Systems, Mar. 2014 (pdf, slides).
        J. Tan, D. Carmon, and D. Baron, "Signal Estimation with Additive Error Metrics in Compressed Sensing," IEEE Trans. Inf. Theory, vol. 60, no. 1, pp. 150-158, Jan. 2014 (pdf, arXiv, software).
        J. Tan and D. Baron, "Signal Reconstruction in Linear Mixing Systems with Different Error Metrics," ITA Workshop, San Diego, CA, February 2013 (pdf, arxiv).
        J. Tan, D. Carmon, and D. Baron, "Optimal Estimation with Arbitrary Error Metrics in Compressed Sensing," IEEE Statistical Signal Processing workshop, Ann Arbor, MI, August 2012 (pdf, software ).

    Links
       Compressive Sensing Resources - Rice University
       Nuit Blanche - Compressed Sensing Blog
       What's New - Terence Tao's Blog

    Hobbies
        Tennis - 3.0 / fan of Roger Federer, Novak Djokovic, Lleyton Hewitt
        Music - Bach, Paganini, Secret Garden
        Puzzles - The 12-ball Problem...

    Last updated: 11/23/2010