Laming Chen

发表

On estimating the loss of signal-to-noise ratio in compressive sensing based systems

Yaming Wang, Yuantao Gu, Laming Chen, 2013, 2013 IEEE China Summit and International Conference on Signal and Information Processing.

On the Null Space Constant for ${\ell _p}$ Minimization

Yuantao Gu, Laming Chen, Laming Chen, 2015, IEEE Signal Processing Letters.

Robustness of orthogonal matching pursuit for multiple measurement vectors in noisy scenario

Jie Ding, Yuantao Gu, Laming Chen, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust sparse recovery via non-convex optimization

Yuantao Gu, Laming Chen, 2014, 2014 19th International Conference on Digital Signal Processing.

Retrieval of sparse solutions of multiple-measurement vectors via zero-point attracting projection

Yuantao Gu, Yang You, Wei Feng, 2012, Signal Process..

Performance analysis of Orthogonal Matching Pursuit under general perturbations

Jie Ding, Yuantao Gu, Laming Chen, 2012, 2012 International Conference on Computing, Networking and Communications (ICNC).

Quantization reference voltage of the Modulated Wideband Converter

Yaming Wang, Yuantao Gu, Laming Chen, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the theoretical analysis of cross validation in compressive sensing

Yuantao Gu, Petros Boufounos, Jinye Zhang, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Square-Root Lasso With Nonconvex Regularization: An ADMM Approach

Laming Chen, Yuantao Gu, Xinyue Shen, 2016, IEEE Signal Processing Letters.

Near-oracle Recovery Performance of Greedy Pursuits with Replacement against General Perturbations pdf

Yuantao Gu, Laming Chen, 2012, ArXiv.

Robust recovery of low-rank matrices via non-convex optimization

Yuantao Gu, Laming Chen, Laming Chen, 2014, 2014 19th International Conference on Digital Signal Processing.

Perturbation Analysis of Orthogonal Matching Pursuit

Jie Ding, Yuantao Gu, Laming Chen, 2011, IEEE Transactions on Signal Processing.

Performance estimation of sparse signal recovery under Bernoulli random projection with oracle information

Yuantao Gu, Laming Chen, Ruiyang Song, 2016, 2016 IEEE International Conference on Digital Signal Processing (DSP).

Dynamic zero-point attracting projection for time-varying sparse signal recovery

Yuantao Gu, Laming Chen, Jiawei Zhou, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The convergence guarantees of a non-convex approach for sparse recovery using regularized least squares

Yuantao Gu, Laming Chen, 2014, ICASSP.

Local and global optimality of LP minimization for sparse recovery

Yuantao Gu, Laming Chen, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Greedy pursuits: Stability of recovery performance against general perturbations

Yuantao Gu, Laming Chen, Jiong Chen, 2012, 2012 International Conference on Computing, Networking and Communications (ICNC).

Backtracking matching pursuit with supplement set of arbitrary size

Yuantao Gu, Laming Chen, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

The Convergence Guarantees of a Non-Convex Approach for Sparse Recovery

Yuantao Gu, Laming Chen, Laming Chen, 2012, IEEE Transactions on Signal Processing.

Cross Validation in Compressive Sensing and its Application of OMP-CV Algorithm pdf

Yuantao Gu, Petros Boufounos, Jinye Zhang, 2016, ArXiv.

Hulu video recommendation: from relevance to reasoning

Hanning Zhou, Laming Chen, Xiaoran Xu, 2018, RecSys.

Proof of Convergence and Performance Analysis for Sparse Recovery via Zero-Point Attracting Projection

Yuantao Gu, Laming Chen, Xiaohan Wang, 2012, IEEE Transactions on Signal Processing.

Fast sparse recovery via non-convex optimization

Yuantao Gu, Laming Chen, 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Retrieve Sparse Solution of Multiple-Measurement Vectors via Zero-point Attracting Projection pdf

Yuantao Gu, Yang You, Wei Feng, 2012, ArXiv.

Improving the Diversity of Top-N Recommendation via Determinantal Point Process pdf

Hanning Zhou, Laming Chen, Guoxin Zhang, 2017, ArXiv.

From least squares to sparse: A non-convex approach with guarantee

Yuantao Gu, Laming Chen, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

On the Performance Bound of Sparse Estimation With Sensing Matrix Perturbation

Yuantao Gu, Laming Chen, Yujie Tang, 2012, IEEE Transactions on Signal Processing.

Oracle-Order Recovery Performance of Greedy Pursuits With Replacement Against General Perturbations

Yuantao Gu, Laming Chen, Laming Chen, 2012, IEEE Transactions on Signal Processing.

Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity

Laming Chen, Eric Zhou, Guoxin Zhang, 2017, NeurIPS.

Approximate Projected Generalized Gradient Methods with Sparsity-inducing Penalties

Yuantao Gu, Laming Chen, Laming Chen, 2012 .