HomeXinyue Shen

Xinyue Shen

Department of Electronic Engineering
Tsinghua University
Beijing 100084, China

E-mail: shenxy13(at)mails.tsinghua.edu.cn

Bio

I am currently working toward the Ph.D. degree in electronic engineering under the guidance of Prof. Yuantao Gu at Tsinghua University, Beijing, China. I received my B.E. degree (with honors) in electronic engineering in 2013 from Tsinghua University.

My research topic is mainly about signals with low-dimensional structures. To be specific, I have worked on atomic norm induced sparse recovery and continuous parameter estimation, and subspace projection matrix recovery from random compression and partial observation.

 

Publication

  1. X. Shen, S. Diamond, M. Udell, Y. Gu, S. Boyd, Disciplined Multi-Convex Programming, 2016, arXiv:1609.03285
  2. X. Shen, S. Diamond, Y. Gu, S, Boyd, Disciplined Convex-Concave Programming, 2016, arXiv:1604.02639, a short version 2016 IEEE 55th Conference on Decision and Control (CDC), Las Vegas, NV, 2016, pp. 1009-1014
  3. X. Shen, S. Diamond, Y. Gu, S, Boyd, Disciplined Convex-Concave Programming, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC), Las Vegas, NV, 2016, pp. 1009-1014
  4. X. Shen, L. Chen, Y. Gu, H. C. So, Square-Root Lasso With Nonconvex Regularization: An ADMM Approach, IEEE Signal Processing Letters, 2016, Volume: 23, Issue: 7, 934 - 938
  5. X. Shen, H. Krim, Y. Gu, Beyond union of subspaces: Subspace pursuit on Grassmann manifold for data representation, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 4079 - 4083
  6. X. Shen and Y. Gu, Subspace Projection Matrix Completion on Grassmann Manifold, 2015 IEEE Inter- national Conference on Acoustics, Speech and Signal Processing(ICASSP), 3297 - 3301
  7. X. Shen, Y. Gu, Anti-sparse representation for continuous function by dual atomic norm with application in OFDM, 2015 IEEE Global Conference on Signal and Information Processing, 270 - 274
  8. X. Shen and Y. Gu, Restricted Isometry Property of Subspace Projection Matrix Under Random Compression, IEEE Signal Processing Letters, 22(9):1326-1330, 2015. pdf
  9. X. Shen, J. Romberg, and Y. Gu, Compressed Robust Off-Grid Estimation via Atomic Norm Regularization, in preparation for submission.
  10. X. Shen and Y. Gu, Subspace Projection Matrix Completion on Grassmann Manifold, will be presented at IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP), April 19-24, 2015, Brisbane, Australia. pdf
  11. X. Shen, J. Romberg, and Y. Gu, Robust Off-grid Recovery from Compressed Measurements, IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP), 3355 - 3359, May 4-9, 2014, Florence, Italy. pdf