Zhouchen Lin - Concepedia

Author

Zhouchen Lin

Also Known As

Dong, Yiming, Fan, Xin, Liang, Yitao, Lin Zhong, Lin, Z., Lin, Zhouchen, Lin, Ziling, Liu, Risheng, Siming, Wei, Yuanhe Huang

505

Publications

26.1K

Citations

H-Index

172

Concepts

All Affiliations

Peking University Microsoft Research Asia (China)Shanghai Jiao Tong University Shandong Jiaotong University National University of Singapore

About

Zhouchen Lin is an author at Peking University specializing in engineering, computer science, and pattern recognition.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	60	173	14.8K
2	Natural Sciences	13	13	764
3	Business	6	6	562
4	Health Sciences	2	2	125
5	Medicine	1	1	34

Zhouchen Lin

221

Publications

23K

Citations

H-Index

Page 1

	Year	Citations
Robust Recovery of Subspace Structures by Low-Rank Representation Guangcan Liu, Zhouchen Lin, Shuicheng Yan, IEEE Transactions on Pattern Analysis and Machine Intelligence	2012	3.6K
Robust Subspace Segmentation by Low-Rank Representation Guangcan Liu, Zhouchen Lin, Yong Yu	2010	1.4K
Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm Canyi Lu, Jiashi Feng, Yudong Chen, IEEE Transactions on Pattern Analysis and Machine Intelligence Mathematical ProgrammingTrpca ModelSparse RepresentationImage AnalysisMachine Learning	2019	1.1K
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation Zhouchen Lin, Risheng Liu, Zhixun Su arXiv (Cornell University)	2011	753
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation Zhouchen Lin, Risheng Liu, Zhixun Su arXiv (Cornell University) Mathematical ProgrammingNumerical AnalysisEngineeringMachine LearningImage Analysis	2011	699
Expectation-Maximization Attention Networks for Semantic Segmentation Xia Li, Zhisheng Zhong, Jianlong Wu, Structured PredictionEngineeringMachine LearningLanguage ProcessingNatural Language Processing	2019	637
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization Canyi Lu, Jiashi Feng, Yudong Chen, Spectral TheoryMathematical ProgrammingSparse RepresentationEngineeringMachine Learning	2016	535
Fast Convex Optimization Algorithms for Exact Recovery of a Corrupted Low-Rank Matrix Zhouchen Lin, Arvind Ganesh, John Wright, IDEALS (University of Illinois Urbana-Champaign)	2009	472
Subspace Clustering by Block Diagonal Representation Canyi Lu, Jiashi Feng, Zhouchen Lin, IEEE Transactions on Pattern Analysis and Machine Intelligence Many SubspaceSparse RepresentationEngineeringRepresentation TheoryData Science	2018	459
Laplacian Regularized Low-Rank Representation and Its Applications Ming Yin, Junbin Gao, Zhouchen Lin IEEE Transactions on Pattern Analysis and Machine Intelligence Geometric LearningEngineeringMachine LearningFunctional AnalysisImage Analysis	2015	435

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