Zhouchen Lin
机构: Professor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung Research
每年引用次数
引用次数
引用: 34,373
H-指数: 77
I10-指数 : 271
出版物: 431
Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding
Shiqi Wang , Siwei Ma , Zhouchen Lin , Jiarui Sun
arXiv: Computer Vision and Pattern Recognition
10
2016
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator
Zhouchen Lin , Cong Fang , Tong Zhang , Chris Junchi Li
arXiv: Optimization and Control
439
2018
On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems
Risheng Liu , Zhouchen Lin , Xin Fan , Shichao Cheng
arXiv: Computer Vision and Pattern Recognition
66
2018
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution
Zhouchen Lin , Chao Zhang , Zhisheng Zhong , Yibo Yang
neural information processing systems 31 165 -175
19
2018
Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications
Zhouchen Lin , Hongyang Zhang ,
Academic Press, Inc.
12
2017
A Sharp Convergence Rate Analysis for Distributed Accelerated Gradient Methods
Wotao Yin , Zhouchen Lin , Cong Fang , Huan Li
arXiv: Optimization and Control
35
2018
Optimization Algorithm Inspired Deep Neural Network Structure Design.
Zhouchen Lin , Huan Li , Yibo Yang , Dongmin Chen
arXiv: Computer Vision and Pattern Recognition
31
2018
Construction of Incoherent Dictionaries via Direct Babel Function Minimization
Zhouchen Lin , Huan Li
asian conference on machine learning 598 -613
2018
Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors
Zhouchen Lin , Zhanxing Zhu , Ke Sun
arXiv: Learning
21
2019
Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN.
Zhouchen Lin , Zhanxing Zhu , Ke Sun
arXiv: Learning
17
2019
Self-Supervised Convolutional Subspace Clustering Network
Jun Guo , Chong You , Honggang Zhang , Zhouchen Lin
arXiv: Computer Vision and Pattern Recognition
124
2019
ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition
Zhouchen Lin , Chao Zhang , Fangyin Wei , Zhisheng Zhong
arXiv: Computer Vision and Pattern Recognition
17
2019
A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank
Zhouchen Lin , Hongyang Zhang , Chao Zhang
arXiv: Machine Learning
9
2013
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning
Risheng Liu , Zhouchen Lin , Zhixun Su
arXiv: Numerical Analysis
195
2013
Correlation Adaptive Subspace Segmentation by Trace Lasso
Canyi Lu , Zhouchen Lin , Shuicheng Yan , Jiashi Feng
arXiv: Computer Vision and Pattern Recognition
214
2015
Differentiable Linearized ADMM
Zhouchen Lin , Jianlong Wu , Guangcan Liu , Xingyu Xie
arXiv: Learning
51
2019
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation
Risheng Liu , Zhixun Su , Zhouchen Lin
arXiv: Optimization and Control
1,241
2011
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining.
Hongbin Zha , Zhouchen Lin , Jianlong Wu , Hong Liu
arXiv: Computer Vision and Pattern Recognition
552
2018
Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers
Zhouchen Lin , Cong Fang , Feng Cheng
neural information processing systems 30 4476 -4485
6
2017
Generalized Singular Value Thresholding
Canyi Lu , Zhouchen Lin , Shuicheng Yan , Chunyan Xu
national conference on artificial intelligence 1805 -1811
177
2015