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Laming Chen
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Year
Fast greedy map inference for determinantal point process to improve recommendation diversity
L Chen, G Zhang, H Zhou
Proceedings of the 32nd International Conference on Neural Information …, 2018
1192018
The convergence guarantees of a non-convex approach for sparse recovery
L Chen, Y Gu
IEEE Transactions on Signal Processing 62 (15), 3754-3767, 2014
752014
Perturbation analysis of orthogonal matching pursuit
J Ding, L Chen, Y Gu
IEEE Transactions on Signal Processing 61 (2), 398-410, 2012
742012
Square-root lasso with nonconvex regularization: An admm approach
X Shen, L Chen, Y Gu, HC So
IEEE Signal Processing Letters 23 (7), 934-938, 2016
292016
On the performance bound of sparse estimation with sensing matrix perturbation
Y Tang, L Chen, Y Gu
IEEE transactions on signal processing 61 (17), 4372-4386, 2013
282013
A calibration system and perturbation analysis for the Modulated Wideband Converter
L Chen, J Jin, Y Gu
IEEE 10th International Conference on Signal Processing Proceedings, 78-81, 2010
222010
On the theoretical analysis of cross validation in compressive sensing
J Zhang, L Chen, PT Boufounos, Y Gu
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
212014
Improving the diversity of top-N recommendation via determinantal point process
L Chen, G Zhang, H Zhou
Large Scale Recommendation Systems Workshop, 2017
192017
Proof of convergence and performance analysis for sparse recovery via zero-point attracting projection
X Wang, Y Gu, L Chen
IEEE transactions on signal processing 60 (8), 4081-4093, 2012
192012
On the Null Space Constant forMinimization
L Chen, Y Gu
IEEE Signal Processing Letters 22 (10), 1600-1603, 2015
132015
Robustness of orthogonal matching pursuit for multiple measurement vectors in noisy scenario
J Ding, L Chen, Y Gu
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
132012
The convergence guarantees of a non-convex approach for sparse recovery using regularized least squares
L Chen, Y Gu
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
122014
Local and global optimality of LP minimization for sparse recovery
L Chen, Y Gu
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
102015
Performance of orthogonal matching pursuit for multiple measurement vectors
J Ding, L Chen, Y Gu
arXiv preprint arXiv:1109.6390, 2011
102011
Fast sparse recovery via non-convex optimization
L Chen, Y Gu
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2015
92015
Oracle-order recovery performance of greedy pursuits with replacement against general perturbations
L Chen, Y Gu
IEEE transactions on signal processing 61 (18), 4625-4636, 2013
92013
Cross validation in compressive sensing and its application of OMP-CV algorithm
J Zhang, L Chen, PT Boufounos, Y Gu
arXiv preprint arXiv:1602.06373, 2016
62016
From least squares to sparse: A non-convex approach with guarantee
L Chen, Y Gu
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
52013
Retrieval of sparse solutions of multiple-measurement vectors via zero-point attracting projection
Y You, L Chen, Y Gu, W Feng, H Dai
Signal processing 92 (12), 3075-3079, 2012
52012
Hulu video recommendation: from relevance to reasoning
X Xu, L Chen, S Zu, H Zhou
Proceedings of the 12th ACM Conference on Recommender Systems, 482-482, 2018
42018
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Articles 1–20