HomeLaming Chen

Laming Chen

Department of Electronic Engineering
Tsinghua University
Beijing 100084, China

E-mail: chen-lm06(at)mails.tsinghua.edu.cn

Bio

I’m currently a graduate student under the guidance of Prof. Yuantao Gu at Tsinghua University, Beijing, China. Before I came to Tsinghua, I finished my high school in 2006 at Yingtan, Jiangxi and was guaranteed acceptance to Tsinghua without College Entrance Examination. Then I received the B.E. degree (with honors) in electronic engineering in 2010 from Tsinghua University. During Apr. 2013 to Sep. 2013, I was a visiting student at Georgia Institute of Technology, Atlanta, GA, USA, working with Prof. Mark Davenport and Prof. Justin Romberg.

I am interesting in many sparse related signal processing topics, like Compressive Sensing, sparse recovery algorithms, perturbation analysis in sparse recovery, etc. Recently I am focusing on the convergence guarantees of a non-convex approach for sparse recovery.

In my spare time, I love playing basketball and cycling in the wild.

 

Publication

Journal Papers
  1. L. Chen and Y. Gu, On the Null Space Constant for lp Minimization, IEEE Signal Processing Letters, 22(10):1600-1603, 2015. 
  2. L. Chen and Y. Gu, The Convergence Guarantees of a Non-convex Approach for Sparse Recovery, IEEE Transactions on Signal Processing, 62(15):3754-3767, 2014.
  3. L. Chen and Y. Gu, Oracle-Order Recovery Performance of Greedy Pursuits With Replacement Against General Perturbations, IEEE Transactions on Signal Processing, 61(18):4625-4636, 2013.
  4. Y. Tang, L. Chen, and Y. Gu, On the Performance Bound of Sparse Estimation With Sensing Matrix Perturbation, IEEE Transactions on Signal Processing, 61(17):4372-4386, 2013.
  5. J. Ding, L. Chen, and Y. Gu, Perturbation Analysis of Orthogonal Matching Pursuit, IEEE Transactions on Signal Processing, 61(2):398-410, 2013.
  6. Y. You, L. Chen, Y. Gu, W. Feng, and H. Dai, Retrieval of Sparse Solutions of Multiple-Measurement Vectors via Zero-point Attracting Projection, Signal Processing, 92(12):3075-3079, 2012.
  7. X. Wang, Y. Gu, and L. Chen, Proof of Convergence and Performance Analysis for Sparse Recovery via Zero-point Attracting Projection, IEEE Transactions on Signal Processing, 60(8):4081-4093, 2012.
Conference Papers
  1. L. Chen and Y. Gu, Fast Sparse Recovery via Non-Convex Optimization, IEEE Global Conference on Signal and Information Processing (GlobalSIP), 1275-1279, December 14-16, 2015, Orlando, Florida, USA.
  2. L. Chen and Y. Gu, Local and Global Optimality of Lp Minimization for Sparse Recovery, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 3596-3600, April 19-24, 2015, Brisbane, Australia.
  3. J. Zhou, L. Chen, and Y. Gu, Dynamic Zero-point Attracting Projection for Time-varying Sparse Signal Recovery, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 5485-5489, April 19-24, 2015, Brisbane, Australia.
  4. L. Chen and Y. Gu, Robust Recovery of Low-Rank Matrices via Non-Convex Optimization, International Conference on Digital Signal Processing (DSP), 355-360, Aug. 20-23, 2014, Hong Kong, China.
  5. L. Chen and Y. Gu, Robust Sparse Recovery via Non-Convex Optimization, International Conference on Digital Signal Processing (DSP), 742-747, Aug. 20-23, 2014, Hong Kong, China.
  6. L. Chen and Y. Gu, The Convergence Guarantees of a Non-convex Approach for Sparse Recovery Using Regularized Least Squares, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 3374-3378, May 4-9, 2014, Florence, Italy.
  7. J. Zhang, L. Chen, P. T. Boufounos, and Y. Gu, On the Theoretical Analysis of Cross Validation in Compressive Sensing, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 3394-3398, May 4-9, 2014, Florence, Italy.
  8. Y. Wang, L. Chen, and Y. Gu, On estimating the loss of signal-to-noise ratio in compressive sensing based systems, IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), 54-57, July 6-10, 2013, Beijing, China.
  9. L. Chen and Y. Gu, From Least Squares to Sparse: A Non-convex Approach with Guarantee, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 5875-5879, May 26-31, 2013, Vancouver, Canada.
  10. L. Chen and Y. Gu, Backtracking Matching Pursuit with Supplement Set of Arbitrary Size, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 6541-6545, May 26-31, 2013, Vancouver, Canada.
  11. J. Ding, L. Chen, and Y. Gu, Robustness of Orthogonal Matching Pursuit for Multiple Measurement Vectors in Noisy Scenario, IEEE International Conference on Acoustics, Speech and Processing (ICASSP), 3813-3816, Mar. 25-30, 2012, Kyoto, Japan.
  12. Y. Wang, L. Chen, and Y. Gu, Quantization Reference Voltage of the Modulated Wideband Converter, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3681-3684, Mar. 25-30, 2012, Kyoto, Japan.
  13. L. Chen, J. Chen, and Y. Gu, Greedy Pursuits: Stability of Recovery Performance against General Perturbations, International Conference on Computing, Networking and Communications, Signal Processing for Communications Symposium (ICNC'12-SPC), 897-901, Jan. 30 - Feb. 2, 2012, Hawaii, USA.
  14. J. Ding, L. Chen, and Y. Gu, Performance Analysis of Orthogonal Matching Pursuit under General Perturbations, International Conference on Computing, Networking and Communications, Signal Processing for Communications Symposium (ICNC'12-SPC), 892-896, Jan. 30 - Feb. 2, 2012, Hawaii, USA.
  15. L. Chen, J. Jin, and Y. Gu, A calibration system and perturbation analysis for the Modulated Wideband Converter, IEEE International Conference on Signal Processing (ICSP), 1:78-81, Oct. 24-28, 2010, Beijing, China.