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Zhouchen Lin
Zhouchen Lin
Professor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung Research
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
Robust recovery of subspace structures by low-rank representation
G Liu, Z Lin, S Yan, J Sun, Y Yu, Y Ma
IEEE transactions on pattern analysis and machine intelligence 35 (1), 171-184, 2012
38312012
The augmented lagrange multiplier method for exact recovery of corrupted low-rank matrices
Z Lin, M Chen, Y Ma
arXiv preprint arXiv:1009.5055, 2010
37782010
Robust subspace segmentation by low-rank representation
G Liu, Z Lin, Y Yu
Proceedings of the 27th international conference on machine learning (ICML …, 2010
20572010
Linearized alternating direction method with adaptive penalty for low-rank representation
Z Lin, R Liu, Z Su
Advances in neural information processing systems 24, 2011
14802011
Recurrent squeeze-and-excitation context aggregation net for single image deraining
X Li, J Wu, Z Lin, H Liu, H Zha
Proceedings of the European conference on computer vision (ECCV), 254-269, 2018
10012018
Tensor robust principal component analysis with a new tensor nuclear norm
C Lu, J Feng, Y Chen, W Liu, Z Lin, S Yan
IEEE transactions on pattern analysis and machine intelligence 42 (4), 925-938, 2019
9532019
Expectation-maximization attention networks for semantic segmentation
X Li, Z Zhong, J Wu, Y Yang, Z Lin, H Liu
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
7572019
Spider: Near-optimal non-convex optimization via stochastic path-integrated differential estimator
C Fang, CJ Li, Z Lin, T Zhang
Advances in neural information processing systems 31, 2018
6932018
Fast convex optimization algorithms for exact recovery of a corrupted low-rank matrix
Z Lin, A Ganesh, J Wright, L Wu, M Chen, Y Ma
Coordinated Science Laboratory Report no. UILU-ENG-09-2214, 2009
6562009
Tensor robust principal component analysis: Exact recovery of corrupted low-rank tensors via convex optimization
C Lu, J Feng, Y Chen, W Liu, Z Lin, S Yan
Proceedings of the IEEE conference on computer vision and pattern …, 2016
6162016
Fundamental limits of reconstruction-based superresolution algorithms under local translation
Z Lin, HY Shum
IEEE transactions on pattern analysis and machine intelligence 26 (1), 83-97, 2004
6152004
Relay backpropagation for effective learning of deep convolutional neural networks
L Shen, Z Lin, Q Huang
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
5882016
Accelerated proximal gradient methods for nonconvex programming
H Li, Z Lin
Advances in neural information processing systems 28, 2015
4982015
Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis
Z Lin, J He, X Tang, CK Tang
Pattern Recognition 42 (11), 2492-2501, 2009
4982009
Laplacian regularized low-rank representation and its applications
M Yin, J Gao, Z Lin
IEEE transactions on pattern analysis and machine intelligence 38 (3), 504-517, 2015
4522015
Subspace clustering by block diagonal representation
C Lu, J Feng, Z Lin, T Mei, S Yan
IEEE transactions on pattern analysis and machine intelligence 41 (2), 487-501, 2018
4422018
Non-negative low rank and sparse graph for semi-supervised learning
L Zhuang, H Gao, Z Lin, Y Ma, X Zhang, N Yu
2012 ieee conference on computer vision and pattern recognition, 2328-2335, 2012
3952012
Essential tensor learning for multi-view spectral clustering
J Wu, Z Lin, H Zha
IEEE Transactions on Image Processing 28 (12), 5910-5922, 2019
3422019
Tensor factorization for low-rank tensor completion
P Zhou, C Lu, Z Lin, C Zhang
IEEE Transactions on Image Processing 27 (3), 1152-1163, 2017
3382017
Nonconvex nonsmooth low rank minimization via iteratively reweighted nuclear norm
C Lu, J Tang, S Yan, Z Lin
IEEE Transactions on Image Processing 25 (2), 829-839, 2015
3372015
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