Laming Chen

According to our database, Laming Chen authored at least 31 papers between 2011 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Hulu video recommendation: from relevance to reasoning.

Xiaoran Xu, Laming Chen, Songpeng Zu, Hanning Zhou

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

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

Laming Chen, Guoxin Zhang, Eric Zhou

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

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

Laming Chen, Guoxin Zhang, Hanning Zhou

CoRR, 2017

2016

Square-Root Lasso With Nonconvex Regularization: An ADMM Approach.

Xinyue Shen, Laming Chen, Yuantao Gu, Hing-Cheung So

IEEE Signal Process. Lett., 2016

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

Jinye Zhang, Laming Chen, Petros T. Boufounos, Yuantao Gu

CoRR, 2016

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

Ruiyang Song, Laming Chen, Yuantao Gu

Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

2015

On the Null Space Constant for ℓ_p Minimization.

Laming Chen, Yuantao Gu

IEEE Signal Process. Lett., 2015

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

Jiawei Zhou, Laming Chen, Yuantao Gu

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Local and global optimality of LP minimization for sparse recovery.

Laming Chen, Yuantao Gu

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Fast sparse recovery via non-convex optimization.

Laming Chen, Yuantao Gu

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014

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

Laming Chen, Yuantao Gu

IEEE Trans. Signal Process., 2014

Robust sparse recovery via non-convex optimization.

Laming Chen, Yuantao Gu

Proceedings of the 19th International Conference on Digital Signal Processing, 2014

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

Laming Chen, Yuantao Gu

Proceedings of the 19th International Conference on Digital Signal Processing, 2014

On the theoretical analysis of cross validation in compressive sensing.

Jinye Zhang, Laming Chen, Petros T. Boufounos, Yuantao Gu

Proceedings of the IEEE International Conference on Acoustics, 2014

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

Laming Chen, Yuantao Gu

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

On the Performance Bound of Sparse Estimation With Sensing Matrix Perturbation.

Yujie Tang, Laming Chen, Yuantao Gu

IEEE Trans. Signal Process., 2013

Perturbation Analysis of Orthogonal Matching Pursuit.

Jie Ding, Laming Chen, Yuantao Gu

IEEE Trans. Signal Process., 2013

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

Laming Chen, Yuantao Gu

IEEE Trans. Signal Process., 2013

Backtracking matching pursuit with supplement set of arbitrary size.

Laming Chen, Yuantao Gu

Proceedings of the IEEE International Conference on Acoustics, 2013

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

Laming Chen, Yuantao Gu

Proceedings of the IEEE International Conference on Acoustics, 2013

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

Yaming Wang, Laming Chen, Yuantao Gu

Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

2012

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

Xiaohan Wang, Yuantao Gu, Laming Chen

IEEE Trans. Signal Process., 2012

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

Yang You, Laming Chen, Yuantao Gu, Wei Feng, Hui Dai

Signal Process., 2012

On the Performance Bound of Sparse Estimation with Sensing Matrix Perturbation

Yujie Tang, Laming Chen, Yuantao Gu

CoRR, 2012

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

Yang You, Laming Chen, Yuantao Gu, Wei Feng, Hui Dai

CoRR, 2012

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

Laming Chen, Yuantao Gu

CoRR, 2012

Performance analysis of Orthogonal Matching Pursuit under general perturbations.

Jie Ding, Laming Chen, Yuantao Gu

Proceedings of the International Conference on Computing, Networking and Communications, 2012

Greedy pursuits: Stability of recovery performance against general perturbations.

Laming Chen, Jiong Chen, Yuantao Gu

Proceedings of the International Conference on Computing, Networking and Communications, 2012

Quantization reference voltage of the Modulated Wideband Converter.

Yaming Wang, Laming Chen, Yuantao Gu

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

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

Jie Ding, Laming Chen, Yuantao Gu

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Performance of Orthogonal Matching Pursuit for Multiple Measurement Vectors

Jie Ding, Laming Chen, Yuantao Gu

CoRR, 2011