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Zhouchen Lin
Zhouchen Lin
Professor, Peking University; Fellow of IEEE, IAPR & CSIG; ex-VP of Samsung Research
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
34302010
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
32382012
Robust subspace segmentation by low-rank representation
G Liu, Z Lin, Y Yu
Proceedings of the 27th international conference on machine learning (ICML …, 2010
18322010
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
12812011
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
6242018
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
6162009
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
5882004
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
5752019
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
4822018
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
4672016
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
4542019
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
4362009
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
4032016
Accelerated proximal gradient methods for nonconvex programming
H Li, Z Lin
Advances in neural information processing systems 28, 2015
3842015
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
3772015
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
3662012
Form factor and input method for language input
Z Lin, R Wang, J Wang
US Patent 7,508,373, 2009
3232009
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
2932018
Generalized nonconvex nonsmooth low-rank minimization
C Lu, J Tang, S Yan, Z Lin
Proceedings of the IEEE conference on computer vision and pattern …, 2014
2912014
Smooth representation clustering
H Hu, Z Lin, J Feng, J Zhou
Proceedings of the IEEE conference on computer vision and pattern …, 2014
2842014
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