Lifted Proximal Operator Machines

Jia Li, Cong Fang, Zhouchen Lin

Subspace Clustering by Block Diagonal Representation

Canyi Lu, Jiashi Feng, Zhouchen Lin +2

Robust Recovery of Subspace Structures by Low-Rank Representation

Guangcan Liu, Zhouchen Lin, Shuicheng Yan +3

SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator

Cong Fang, Chris Junchi Li, Zhouchen Lin +1

Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution

Zhisheng Zhong, Tiancheng Shen, Yibo Yang +2

Robust Estimation of 3D Human Poses from a Single Image

Chunyu Wang, Yizhou Wang, Zhouchen Lin +2

Toward Designing Intelligent PDEs for Computer Vision: An Optimal Control Approach

Risheng Liu, Zhouchen Lin, Wei Zhang +2

Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN

Ke Sun, Zhanxing Zhu, Zhouchen Lin

Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks

Li Shen, Zhouchen Lin, Qingming Huang

Subspace Clustering Based Tag Sharing for Inductive Tag Matrix Refinement with Complex Errors

Yuqing Hou, Zhouchen Lin, Jin-ge Yao

Sharp Analysis for Nonconvex SGD Escaping from Saddle Points

Cong Fang, Zhouchen Lin, Tong Zhang

Generalized Singular Value Thresholding

Canyi Lu, Changbo Zhu, Chunyan Xu +2

Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization

Canyi Lu, Zhouchen Lin, Shuicheng Yan

Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining

Xia Li, Jianlong Wu, Zhouchen Lin +2

Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization

Canyi Lu, Jiashi Feng, Yudong Chen +3

Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization

Canyi Lu, Huan Li, Zhouchen Lin

Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements

Canyi Lu, Jiashi Feng, Zhouchen Lin +1

Alternating Multi-bit Quantization for Recurrent Neural Networks

Chen Xu, Jianqiang Yao, Zhouchen Lin +4

Correntropy Induced L2 Graph for Robust Subspace Clustering

Canyi Lu, Jinhui Tang, Min Lin +3

ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition

Zhisheng Zhong, Fangyin Wei, Zhouchen Lin +1

Accelerating Asynchronous Algorithms for Convex Optimization by Momentum Compensation

Cong Fang, Yameng Huang, Zhouchen Lin

Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation

Zhouchen Lin, Risheng Liu, Zhixun Su

Correlation Adaptive Subspace Segmentation by Trace Lasso

Canyi Lu, Jiashi Feng, Zhouchen Lin +1

Convolutional Neural Networks with Alternately Updated Clique

Yibo Yang, Zhisheng Zhong, Tiancheng Shen +1

Graph Construction with Label Information for Semi-Supervised Learning

Liansheng Zhuang, Zihan Zhou, Jingwen Yin +4

Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers

Cong Fang, Feng Cheng, Zhouchen Lin

On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems

Risheng Liu, Shichao Cheng, Yi He +3

Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors

Ke Sun, Zhanxing Zhu, Zhouchen Lin

Image Tag Completion and Refinement by Subspace Clustering and Matrix Completion

Yuqing Hou, Zhouchen Lin

Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding

Xiang Zhang, Jiarui Sun, Siwei Ma +4

Self-Supervised Convolutional Subspace Clustering Network

Junjian Zhang, Chun-Guang Li, Chong You +4

Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm

Canyi Lu, Jiashi Feng, Yudong Chen +3

Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures

Xiang Ren, Zhouchen Lin

Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications

Fanhua Shang, James Cheng, Yuanyuan Liu +2

Optimization Algorithm Inspired Deep Neural Network Structure Design

Huan Li, Yibo Yang, Dongmin Chen +1

Some Software Packages for Partial SVD Computation

Zhouchen Lin

Differentiable Linearized ADMM

Xingyu Xie, Jianlong Wu, Zhisheng Zhong +2

Generalized Nonconvex Nonsmooth Low-Rank Minimization

Canyi Lu, Jinhui Tang, Shuicheng Yan +1

Deep Comprehensive Correlation Mining for Image Clustering

Jianlong Wu, Keyu Long, Fei Wang +4

The paper introduces Deep Comprehensive Correlation Mining (DCCM), a deep unsupervised framework for image clustering that exploits pseudo‑label supervision, robustness to image tr…

Completing Low-Rank Matrices with Corrupted Samples from Few Coefficients in General Basis

Hongyang Zhang, Zhouchen Lin, Chao Zhang

A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank

Hongyang Zhang, Zhouchen Lin, Chao Zhang

Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis

Canyi Lu, Jiashi Feng, Zhouchen Lin +1

Convex Sparse Spectral Clustering: Single-view to Multi-view

Canyi Lu, Shuicheng Yan, Zhouchen Lin

Tensor Sparse and Low-Rank based Submodule Clustering Method for Multi-way Data

Xinglin Piao, Yongli Hu, Junbin Gao +3

Relations among Some Low Rank Subspace Recovery Models

Hongyang Zhang, Zhouchen Lin, Chao Zhang +1