Publications

Yikang Li , Yeqing Qiu , Yuxuan Chen , Lingshen He , Zhouchen Lin . Affine Equivariant Networks Based on Differential Invariants. CVPR, 2024.

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Jianghui Wang , Yang Chen , Xingyu Xie , Cong Fang , Zhouchen Lin . Task-Robust Pre-Training for Worst-Case Downstream Adaptation. NeurIPS, 2023.

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Lingshen He , Yuxuan Chen , Zhenyang Shen , Yibo Yang , Zhouchen Lin . Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks. ICLR, 2023.

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Huan Li , Zhouchen Lin . Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ε−7/4) Complexity. JMLR, 2023.

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Pengyun Yue , Long Yang , Cong Fang , Zhouchen Lin . Zeroth-order Optimization with Weak Dimension Dependency. COLT, 2023.

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Pengyun Yue , Cong Fang , Zhouchen Lin . On the Lower Bound of Minimizing Polyak-Łojasiewicz Functions. COLT, 2023.

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Qi Chen , Yifei Wang , Yisen Wang , Jiansheng Yang , Zhouchen Lin . Optimization-induced Implicit Graph Diffusion. ICML, 2022.

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Zhouchen Lin , Huan Li , Cong Fang . Alternating Direction Method of Multipliers for Machine Learning. Springer Singapore, 2022.

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Qingyan Meng , Shen Yan , Mingqing Xiao , Yisen Wang , Zhouchen Lin , Zhi-Quan Luo . Training Much Deeper Spiking Neural Networks with a Small Number of Time-Steps. Neural Networks, 2022.

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Qingyan Meng , Mingqing Xiao , Shen Yan , Yisen Wang , Zhouchen Lin , Zhi-Quan Luo . Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation. CVPR, 2022.

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Huan Li , Zhouchen Lin , Yongchun Fang . Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization. JMLR, 2022.

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Mingqing Xiao , Qingyan Meng , Zongpeng Zhang , Yisen Wang , Zhouchen Lin . Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State. NeurIPS, 2021.

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Yifei Wang , Yisen Wang , Jiansheng Yang , Zhouchen Lin . Reparameterized Sampling for Generative Adversarial Networks. ECML-PKDD, 2021.

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Yifei Wang , Yisen Wang , Jiansheng Yang , Zhouchen Lin . Demystifying Adversarial Training via A Unified Probabilistic Framework. ICML workshop 2021, 2021.

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Yibo Yang , Shan You , Hongyang Li , Fei Wang , Chen Qian , Zhouchen Lin . Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search. CVPR, 2021.

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Xiangtai Li , Hao He , Xia Li , Duo Li , Guangliang Cheng , Jianping Shi , Lubin Weng , Yunhai Tong , Zhouchen Lin . PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation. CVPR, 2021.

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Yifei Wang , Zhengyang Geng , Feng Jiang , Chuming Li , Yisen Wang , Jiansheng Yang , Zhouchen Li . Residual Relaxation for Multi-view Representation Learning. NeurIPS, 2021.

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Lingshen He , Yiming Dong , Yisen Wang , Dacheng Tao , Zhouchen Lin . Gauge Equivariant Transformer. NeurIPS, 2021.

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Lingshen He , Yuxuan Chen , Zhenyang Shen , Yiming Dong , Yisen Wang , Zhouchen Lin . Efficient Equivariant Network. NeurIPS, 2021.

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Yifei Wang , Yisen Wang , Jiansheng Yang , Zhouchen Li . Dissecting the Diffusion Process in Linear Graph Convolutional Networks. NeurIPS, 2021.

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Hanxun Huang , Xingjun Ma , Sarah Monazam Erfani , James Bailey , Yisen Wang . Unlearnable Examples: Making Personal Data Unexploitable. ICLR, 2021.

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Xin Wang , Jie Ren , Shuyun Lin , Xiangming Zhu , Yisen Wang , Quanshi Zhang . Towards A Unified Understanding and Improving of Adversarial Transferability. ICLR, 2021.

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Zhengyang Geng , Meng-Hao Guo , Hongxu Chen , Xia Li , Ke Wei , Zhouchen Lin . Is Attention Better Than Matrix Decomposition?. ICLR, 2021.

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Yang Bai , Yuyuan Zeng , Yong Jiang , Shu-Tao Xia , Xingjun Ma , Yisen Wang . Improving Adversarial Robustness via Channel-wise Activation Suppressing. ICLR, 2021.

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Ke Sun , Zhouchen Lin , Zhanxing Zhu . AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models. ICLR, 2021.

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Zhengyang Shen , Tiancheng Shen , Zhouchen Lin , Jinwen Ma . PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs. AAAI, 2021.

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Yangyang Li , Lin Kong , Fanhua Shang , Yuanyuan Liu , Hongying Liu , Zhouchen Lin . Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding. AAAI, 2021.

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Jia Li , Mingqing Xiao , Cong Fang , Yue Dai , Chao Xu , Zhouchen Lin . Training Neural Networks by Lifted Proximal Operator Machines. TPAMI, 2020.

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Yibo Yang , Hongyang Li , Shan You , Fei Wang , Chen Qian , Zhouchen Lin . ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding. NeurIPS, 2020.

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Dongxian Wu , Shu-Tao Xia , Yisen Wang . Adversarial Weight Perturbation Helps Robust Generalization. NeurIPS, 2020.

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Huan Li , Cong Fang , Wotao Yin , Zhouchen Lin . Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters. IEEE T. Signal Processing, 2020.

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Xiangtai Li , Xia Li , Li Zhang , Guangliang Cheng , Jianping Shi , Zhouchen Lin , Shaohua Tan , Yunhai Tong . Improving Semantic Segmentation via Decoupled Body and Edge Supervision. ECCV, 2020.

Mingqing Xiao , Shuxin Zheng , Chang Liu , Yaolong Wang , Di He , Guolin Ke , Jiang Bian , Zhouchen Lin , Tie-Yan Liu . Invertible Image Rescaling. ECCV, 2020.

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Huan Li , Cong Fang , Zhouchen Lin . Accelerated First-Order Optimization Algorithms for Machine Learning. P IEEE, 2020.

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Zhengyang Shen , Lingshen He , Zhouchen Lin , Jinwen Ma . PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions. ICML, 2020.

Xingjun Ma , Hanxun Huang , Yisen Wang , Simone Romano , Sarah Erfani , James Bailey . Normalized Loss Functions for Deep Learning with Noisy Labels. ICML, 2020.

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Xingyu Xie , Kong Hao , Jianlong Wu , Wayne Zhang , Guangcan Liu , Zhouchen Lin . Maximum-and-Concatenation Networks. ICML, 2020.

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Mingjie Li , Lingshen He , Zhouchen Lin . Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability. ICML, 2020.

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Yuchao Cai , Hanyuan Hang , Hanfang Yang , Zhouchen Lin . Boosted Histogram Transform for Regression. ICML, 2020.

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Zhouchen Lin , Huan Li , Cong Fang . Accelerated Optimization for Machine Learning: First-Order Algorithms. Springer Singapore, 2020.

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Dongxian Wu , Yisen Wang , Shu-Tao Xia , James Bailey , Xingjun Ma . Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. ICLR, 2020.

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Yisen Wang , Difan Zou , Jinfeng Yi , James Bailey , Xingjun Ma , Quanquan Gu . Improving Adversarial Robustness Requires Revisiting Misclassified Examples. ICLR, 2020.

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Huan Li , Zhouchen Lin . On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent. JMLR, 2020.

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Xia Li , Yibo Yang , Qijie Zhao , Tiancheng Shen , Zhouchen Lin , Hong Liu . Spatial Pyramid Based Graph Reasoning for Semantic Segmentation. CVPR, 2020.

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Jianlong Wu , Xingyu Xie , Liqiang Nie , Zhouchen Lin , Hongbin Zha . Unified Graph and Low-rank Tensor Learning for Multi-view Clustering. AAAI, 2020.

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Yueying Kao , Weiming Li , Qiang Wang , Zhouchen Lin , Wooshik Kim , Sunghoon Hong . Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild. AAAI, 2020.

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Yibo Yang , Hongyang Li , Xia Li , Qijie Zhao , Jianlong Wu , Zhouchen Lin . SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. AAAI, 2020.

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Ke Sun , Zhouchen Lin , Zhanxing Zhu . Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes. AAAI, 2020.

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Yibo Yang , Jianlong Wu , Hongyang Li , Xia Li , Tiancheng Shen , Zhouchen Lin . Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. AAAI, 2020.

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Huan Li , Zhouchen Lin . Revisiting EXTRA for Smooth Distributed Optimization. SIOPT, 2020.

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Huan Li , Zhouchen Lin . Accelerated Alternating Direction Method of Multipliers:An Optimal O(1/K) Nonergodic Analysis. JSC, 2019.

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Wenming Zheng , Cheng Lu , Zhouchen Lin , Tong Zhang , Zhen Cui , Wankou Yang . L1-Norm Heteroscedastic Discriminant Analysis under Mixture of Gaussian Distributions . TNNLS, 2019.

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Risheng Liu , Shichao Cheng , Yi He , Xin Fan , Zhouchen Lin , Zhongxuan Luo . On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems. TPAMI, 2019.

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Yisen Wang , Xingjun Ma , Zaiyi Chen , Yuan Luo , Jinfeng Yi , James Bailey . Symmetric Cross Entropy for Robust Learning with Noisy Labels. ICCV, 2019.

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Xia Li , Zhisheng Zhong , Jianlong Wu , Yibo Yang , Zhouchen Lin , Hong Liu . Expectation Maximization Attention Networks for Semantic Segmentation. ICCV, 2019.

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Yan Zheng , Zhouchen Lin . The Augmented Homogeneous Coordinates Matrix Based Projective Mismatch Removal for Partial-Duplicate Image Search. TIP, 2019.

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Baohua Li , Huchuan Lu , Ying Zhang , Zhouchen Lin , Wei Wu . Subspace Clustering under Complex Noise. TCSVT, 2019.

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Canyi Lu , Jiashi Feng , Zhouchen Lin , Tao Mei , Shuicheng Yan . Subspace Clustering by Block Diagonal Representation. TPAMI, 2019.

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Junjian Zhang , Chun-Guang Li , Chong You , Xianbiao Qi , Honggang Zhang , Jun Guo , Zhouchen Lin . Self-Supervised Convolutional Subspace Clustering Network. CVPR, 2019.

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Chunyu Wang , Yizhou Wang , Zhouchen Lin , Alan Yuille . Robust 3D Human Pose Estimation from a Single Image or a Video Sequence. TPAMI, 2019.

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Jia Li , Cong Fang , Zhouchen Lin . Lifted Proximal Operator Machines. AAAI, 2019.

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Zhisheng Zhong , Fangyin Wei , Zhouchen Lin , Chao Zhang . ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition. NN, 2019.

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Yinwei Wei , Xiang Wang , Weili Guan , Liqiang Nie , Zhouchen Lin , Baoquan Chen . Neural Multimodal Cooperative Learning Towards Micro-video Understanding. TIP, 2019.

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Tiancheng Shen , Xia Li , Zhisheng Zhong , Jianlong Wu , Zhouchen Lin . R^2 Net Recurrent and Recursive Network for Sparse View CT Artifacts Removal. MICCAI, 2019.

Ke Sun , Zhouchen Lin , Hantao Guo , Zhanxing Zhu . Virtual Adversarial Training on Graph ConvolutionalNetworks in Node Classification . PRCV, 2019.

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Lingshen He , Xingyu Xie , Zhouchen Lin . Neural Ordinary Differential Equations with Envolutionary Weights. PRCV, 2019.

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Xingyu Xie , Jianlong Wu , Zhisheng Zhong , Guangcan Liu , Zhouchen Lin . Differentiable Linearized ADMM. ICML, 2019.

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Huan Li , Zhouchen Lin . Accelerated Alternating Direction Method of Multipliers: an Optimal O(1/K) Nonergodic Analysis. J SCI COMPUT, 2019.

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Gaopeng Jian , Zhouchen Lin , Rongquan Feng . Two-weight and three-weight linear codes based on Weil sums. FFTA, 2019.

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Yisen Wang , Xingjun Ma , James Bailey , Jinfeng Yi , Bowen Zhou , Quanquan Gu . On the Convergence and Robustness of Adversarial Training. ICML, 2019.

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Jianlong Wu , Keyu Long , Fei Wang , Chen Qian , Cheng Li , Zhouchen Lin , Hongbin Zha . Deep Comprehensive Correlation Mining for Image Clustering. ICCV, 2019.

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Cong Fang , Zhouchen Lin , Tong Zhang . Sharp Analysis for Nonconvex SGD Escaping from Saddle Points. COLT, 2019.

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Canyi Lu , Jiashi Feng , Yudong Chen , Wei Liu , Zhouchen Lin , Shuicheng Yan . Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm. PAMI, 2018.

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Xia Li , Jianlong Wu , Zhouchen Lin , Hong Liu , Hongbin Zha . Recurrent Squeeze-and-Excitation Net for Single Image Deraining. ECCV, 2018.

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Pan Zhou , Canyi Lu , Zhouchen Lin , Chao Zhang . Tensor Factorization for Low-Rank Tensor Completion. TIP, 2018.

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Kong Hao , Xingyu Xie , Zhouchen Lin . t-Schatten- p Norm for Low-Rank Tensor Recovery. JSTSP, 2018.

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Cong Fang , Junchi Li , Zhouchen Lin , Tong Zhang . SPIDER Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator. NIPS, 2018.

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Zhouchen Lin , Chen Xu , Hongbin Zha . Robust Matrix Factorization by Majorization-Minimization. TPAMI, 2018.

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Canyi Lu , Huan Li , Zhouchen Lin . Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization. SP, 2018.

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Huan Li , Yibo Yang , Zhouchen Lin . Optimization Algorithm Inspired Deep Neural Network Structure Design. ACML, 2018.

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Thierry Bouwmans , Sajid Javed , Hongyang Zhang , Zhouchen Lin , Ricardo Otazo . On the Applications of Robust PCA in Image and Video Processing. PIEEE, 2018.

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Canyi Lu , Jiashi Feng , Zhouchen Lin , Shuicheng Yan . Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers. AAAI, 2018.

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Xiaojie Guo , Zhouchen Lin . Low Rank Matrix Recovery via Robust Outlier Estimation. TIP, 2018.

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Zhisheng Zhong , Tiancheng Shen , Yibo Yang , Zhouchen Lin , Chao Zhang . Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution. NIPS, 2018.

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Jianlong Wu , Zhouchen Lin , Hongbin Zha . Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval. CIKM, 2018.

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Canyi Lu , Jiashi Feng , Zhouchen Lin , Shuicheng Yan . Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements. IJCAI, 2018.

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Pan Zhou , Fang Cong , Zhouchen Lin , Chao Zhang , Edward Chang . Dictionary Learning with Structured Noise. Neurocomputing, 2018.

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Chenyan Bai , Jia Li , Zhouchen Lin . Demosaicking based on Channel-Correlation Adaptive Dictionary Learning. JEI, 2018.

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Yibo Yang , Zhisheng Zhong , Tiancheng Shen , Zhouchen Lin . Convolutional Neural Networks with Alternately Updated Clique. CVPR, 2018.

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Huan Li , Zhouchen Lin . Construction of Incoherent Dictionaries via Direct Babel Function Minimization. ACML, 2018.

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Yameng Huang , Zhouchen Lin . Binary Multidimensional Scaling for Hashing. TIP, 2018.

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Fanhua Shang , Yuanyuan Liu , James Cheng , Zhi-Quan Luo , Zhouchen Lin . Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications. TPAMI, 2018.

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Chen Xu , Zhouchen Lin , Hongbin Zha . Alternating Multi-bit Quantization for Recurrent Neural Networks. ICLR, 2018.

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Canyi Lu , Jiashi Feng , Shuicheng Yan , Zhouchen Lin . A Unified Alternating Direction Method of Multipliers by Majorization Minimization. TPAMI, 2018.

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Zhouchen Lin . Closed-form Solutions of Some Low-Rank Subspace Recovery Models and Their Applications (in Chinese). Tsinghua University Press, 2017.

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Qi Li , Zhenan Sun , Zhouchen Lin , Ran He , Tieniu Tan . Transformation Invariant Subspace Clustering. PR, 2017.

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Yang Lin , Zhouchen Lin , Hongbin Zha . The Shape Interaction Matrix-Based Affine Invariant Mismatch Removal for Partial-Duplicate Image Search. TIP, 2017.

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Xiaojie Guo , Zhouchen Lin . ROUTE: Robust Outlier Estimation for Low Rank Matrix Recovery. IJCAI, 2017.

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Jia Li , Chenyan Bai , Zhouchen Lin , Jian Yu . Penrose High Dynamic Range Imaging. JEI, 2017.

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Cong Fang , Zhouchen Lin . Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization. AAAI, 2017.

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Jia Li , Chenyan Bai , Zhouchen Lin , Jian Yu . Optimized Color Filter Arrays for Sparse Representation Based Demosaicking. TIP, 2017.

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Jianlong Wu , Zhouchen Lin , Wenming Zheng , Hongbin Zha . Locality-constrained Linear Coding Based Bi-layer Model for Multi-view Facial Expression Recognition. Neurocomputing, 2017.

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Liansheng Zhuang , Zihan Zhou , Shenghua Gao , Jingwen Yin , Zhouchen Lin , Yi Ma . Label Information Guided Graph Construction for Semi-Supervised Learning. TIP, 2017.

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Jianlong Wu , Zhouchen Lin , Hongbin Zha . Joint Latent Space Learning and Regression for Cross Modal Retrieval. SIGIR, 2017.

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Xiang Zhang , Jiarui Sun , Siwei Ma , Zhouchen Lin , Jian Zhang , Shiqi Wang, , Wen Gao . Globally Variance-Constrained Sparse Representation for Rate-Distortion Optimized Image Representation. DCC, 2017.

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Xiang Zhang , Jiarui Sun , Siwei Ma , Zhouchen Lin , Jian Zhang , Shiqi Wang , Wen Gao . Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding. TIP, 2017.

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Cong Fang , Zhenyu Zhao , Pan Zhou , Zhouchen Lin . Feature Learning via Partial Differential Equation with Applications to Face Recognition. PR, 2017.

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Cong Fang , Feng Cheng , Zhouchen Lin . Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers. NIPS, 2017.

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Hongyang Zhang , Shan You , Zhouchen Lin . Fast Compressive Phase Retrieval under Bounded Noise. AAAI, 2017.

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Li Yang , Yang Lin , Zhouchen Lin , Tong Lin , Hongbin Zha . Factorization for Projective and Metric Reconstruction via Truncated Nuclear Norm. IJCNN, 2017.

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Yisong Chen , Antoni B. Chan , Zhouchen Lin , Kenji Suzuki , Guoping Wang . Efficient Tree-structured SfM by RANSAC Generalized Procrustes Analysis. CVIU, 2017.

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Hongyang Zhang , Zhouchen Lin , Chao Zhang . Completing Low-Rank Matrices with Corrupted Samples from Few Coefficients in General Basis. TIT, 2017.

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Pan Zhou , Chao Zhang , Zhouchen Lin . Bilevel Model Based Discriminative Dictionary Learning for Recognition. TIP, 2017.

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Jia Li , Chenyan Bai , Zhouchen Lin , Jian Yu . Automatic Design of High-Sensitivity Color Filter Arrays with Panchromatic Pixels. TIP, 2017.

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Chen Xu , Zhouchen Lin , Hongbin Zha . A Unified Convex Surrogate for the Schatten-p Norm. AAAI, 2017.

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Huan Li , Zhouchen Lin . Provable Accelerated Gradient Method for Nonconvex Low Rank Optimization. ML, 2017.

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Canyi Lu , Jiashi Feng , Yudong chen , Wei Liu , Zhouchen Lin , Shuicheng Yan . Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization. CVPR, 2016.

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Yifan Fu , Junbin Gao , David Tien , Zhouchen Lin , Xia Hong . Tensor LRR and Sparse Coding Based Subspace Clustering. TNNLS, 2016.

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Yuqing Hou , Zhouchen Lin , Jinge Yao . Subspace Clustering Based Tag Sharing for Inductive Tag Matrix Refinement with Complex Errors. SIGIR, 2016.

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Jinshan Pan , Zhouchen Lin , Zhixun Su , Ming-Hsuan Yang . Robust Kernel Estimation with Outliers Handling for Image Deblurring. CVPR, 2016.

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Li Shen , Zhouchen Lin , Qingming Huang . Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks. ECCV, 2016.

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Chen Xu , Zhouchen Lin , Zhenyu Zhao , Hongbin Zha . Relaxed Majorization-Minimization for Non-smooth and Non-convex Optimization. AAAI, 2016.

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Jianlong Wu , Zhouchen Lin , Hongbin Zha . Multi-view Common Space Learning for Emotion Recognition in the Wild. ICMI, 2016.

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Canyi Lu , Huan Li , Zhouchen Lin , Shuicheng Yan . Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting. AAAI, 2016.

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Canyi Lu , Shuicheng Yan , Zhouchen Lin . Convex Sparse Spectral Clustering: Single-view to Multi-view. TIP, 2016.

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Zhouchen Lin . A Review on Low-Rank Models in Signal and Data Analysis. BDIA, 2016.

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Chenyan Bai , Jia Li , Zhouchen Lin , Jian Yu . Automatic Design of Color Filter Arrays in the Frequency Domain. TIP, 2016.

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Risheng Liu , Guangyu Zhong , Junjie Cao , Zhouchen Lin , Shiguang Shan , Zhongxuan Luo . Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis. TPAMI, 2016.

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Canyi Lu , Jinhui Tang , Shuicheng Yan , Zhouchen Lin . Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm. TIP, 2015.

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Chun-Guang Li , Zhouchen Lin , Honggang Zhang , Jun Gao . Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning. ICCV, 2015.

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Zhouchen Lin , Yi Ma . Low-Rank Models in Signal and Data Processing: Theories, Algorithms, and Applications (in Chinese). Communications of China Computer Federation, 2015.

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Liansheng Zhuang , Jingjing Wang , Zhouchen Lin , Allen Yang , Yi Ma , Nenghai Yu . Locality-Preserving Low-Rank Representation for Graph Construction from Nonlinear Manifolds. Neurocomputing, 2015.

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Ming Yin , Junbin Gao , Zhouchen Lin , Qinfeng Shi , Yi Guo . Dual Graph Regularized Latent Low-rank Representation for Subspace Clustering. TIP, 2015.

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Zhenyu Zhao , Zhouchen Lin , Yi Wu . A Fast Alternating Time-Splitting Approach for Learning Partial Differential Equations. Neurocomputing, 2015.

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Zhouchen Lin , Yameng Huang . Fast Multidimensional Ellipsoid-Specific Fitting by Alternating Direction Method of Multipliers. TPAMI, 2015.

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Ming Yin , Junbin Gao , Zhouchen Lin . Laplacian Regularized Low-Rank Representation and Its Applications. TPAMI, 2015.

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Jianlong Wu , Zhouchen Lin , Hongbin Zha . Multiple Models Fusion for Emotion Recognition in the Wild. ICMI, 2015.

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Yuqing Hou , Zhouchen Lin . Image Tag Completion and Refinement by Subspace Clustering and Matrix Completion. VCIP, 2015.

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Huan Li , Zhouchen Lin . Accelerated Proximal Gradient Methods for Nonconvex Programming. NIPS, 2015.

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Zhizhong Li , Deli Zhao , Zhouchen Lin , Edward Y.Chang . Determining Step Sizes in Geometric Optimization Algorithms. ISIT, 2015.

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Pan Zhou , Zhouchen Lin , Chao Zhang . Integrated Low Rank Based Discriminative Feature Learning for Recognition. TNNLS, 2015.

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Zhenyu Zhao , Cong Fang , Zhouchen Lin , Yi Wu . A Robust Hybrid Method for Text Detection in Natural Scenes by Learning-based Partial Differential Equations. Neurocomputing, 2015.

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Baohua Li , Ying Zhang , Zhouchen Lin , Huchuan Lu . Subspace Clustering by Mixture of Gaussian Regression. CVPR, 2015.

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Li Shen , Gang Sun , Zhouchen Lin , Qingming Huang , Enhua Wu . Adaptive Sharing for Image Classification. IJCAI, 2015.

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Zhizhong Li , Deli Zhao , Zhouchen Lin , Edward Y.Chang . A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm. CVPR, 2015.

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Liansheng Zhuang , Jingjing Wang , Shenghua Gao , Zhouchen Lin , Yi Ma , Tianzhu Zhuang , Nenghai Yu . Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification. TIP, 2015.

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Hongyang Zhang , Zhouchen Lin , Chao Zhang , Junbin Gao . Relations among Some Low Rank Subspace Recovery Models. Neural Computation, 2015.

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Jianjun Qian , Lei Luo , Jian Yang , Fanglong Zhang , Zhouchen Lin . Robust Nuclear Norm Regularized Regression for Face Recognition with Occlusion. PR, 2015.

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Chenyan Bai , Jia Li , Zhouchen Lin , Jian Yu , Yen-wei Chen . Penrose Demosaicking. TIP, 2015.

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Li Shen , Gang Sun , Qingming Huang , Shuhui Wang , Zhouchen Lin , Enhua Wu . Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification. TIP, 2015.

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Canyi Lu , Changbo Zhu , Chunyan Xu , Shuicheng Yan , Zhouchen Lin . Generalized Singular Value Thresholding. AAAI, 2015.

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Hongyang Zhang , Zhouchen Lin , Chao Zhang , Edward Chang . Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds. AAAI, 2015.

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Canyi Lu , Zhouchen Lin , Shuicheng Yan . Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squared Minimization. TIP, 2014.

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Zhouchen Lin , Risheng Liu , Huan Li . Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning. ML, 2014.

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Li Yang , Yang Lin , Zhouchen Lin , Hongbin Zha . Low Rank Global Geometric Consistency for Partial-Duplicate Image Search. ICPR, 2014.

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Canyi Lu , Yunchao Wei , Zhouchen Lin , Shuicheng Yan . Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization. AAAI, 2014.

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Han Hu , Zhouchen Lin , Jianjiang Feng , Jie Zhou . Smooth Representation Clustering. CVPR, 2014.

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Han Hu , Zhouchen Lin , Jianjiang Feng , Jie Zhou . Smooth Representation Clustering. CVPR, 2014.

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Jianjun Qian , Jian Yang , Fanlong Zhang , Zhouchen Lin . Robust Low-Rank Regularized Regression for Face Recognition with Occlusion. CVPR 2014 Biometrics Workshop, 2014.

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Chunyu Wang , Yizhou Wang , Zhouchen Lin , Alan Yuille , Wen Gao . Robust Estimation of 3D Human Poses from Single Images. CVPR, 2014.

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Canyi Lu , Shuicheng Yan , Zhouchen Lin . Generalized Nonconvex Nonsmooth Low-Rank Minimization. CVPR, 2014.

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Risheng Liu , Junjie Cao , Zhouchen Lin , Shiguang Shan . Adaptive Partial Differential Equation Learning for Visual Saliency Detection. CVPR, 2014.

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Yifan Fu , Junbin Gao , David Tien , Zhouchen Lin . Tensor LRR Based Subspace Clustering. IJCNN, 2014.

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Risheng Liu , Zhouchen Lin , Zhixun Su . Learning Markov Random Walks for Robust Subspace Clustering and Estimation. NN, 2014.

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Hongyang Zhang , Zhouchen Lin , Chao Zhang , Junbin Gao . Robust Latent Low Rank Representation for Subspace Clustering. Neurocomputing, 2014.

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Mingyu Fan , Xiaoqin Zhang , Zhouchen Lin , Zhongfei Zhang , Hujun Bao . A Regularized Approach for Geodesic Based Semi-Supervised Multi-Manifold Learning. TIP, 2014.

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Risheng Liu , Zhouchen Lin , Zhixun Su , Junbin Gao . Linear time Principal Component Pursuit and its extensions using l1 Filtering. Neurocomputing, 2014.

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Canyi Lu , Jinhui Tang , Min Lin , Shuicheng Yan , Zhouchen Lin . Correntropy Induced L2 Graph for Robust Subspace Clustering. ICCV, 2013.

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Canyi Lu , Jiashi Feng , Zhouchen Lin , Shuicheng Yan . Correlation Adaptive Subspace Segmentation by Trace Lasso. ICCV, 2013.

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Risheng Liu , Zhouchen Lin , Zhixun Su . Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning. ACML, 2013.

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Zhouchen Lin . Rank Minimization: Theories, Algorithms, and Applications (in Chinese). Tsinghua University Press, 2013.

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Wenming Zheng , Zhouchen Lin , and Haixian Wang . L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction. TNNLS, 2013.

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Hongyang Zhang , Zhouchen Lin , Chao Zhang . A Counterexample for The Validaity of Using Nuclear Norm as A Comvex Surrogate of Rank. ECML/PKDD, 2013.

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Xin Zhang , Zhouchen Lin , Fuchun Sun , Yi Ma . Transform Invariant Text Extraction. TVC, 2013.

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Xin Zhang , Zhouchen Lin , Fuchun Sun , Yi Ma . Rectification of Optical Characters as Transform Invariant Low-rank Textures. ICDAR, 2013.

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Xiang Ren , Zhouchen Lin . Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures. IJCV, 2013.

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Liansheng Zhuang , Haoyuan Gao , Jiebo Luo , Zhouchen Lin . Regularized Semi-Supervised Latent Dirichlet Allocation for visual concept learning. Neurocomputing, 2013.

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Guangcan Liu , Zhouchen Lin , Shuicheng Yan , Ju Sun , Yi Ma . Robust Recovery of Subspace Structures by Low-Rank Representation. TPAMI, 2013.

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Mingyu Fan , Xiaoqin Zhang , Zhouchen Lin , Zhongfei Zhang , Hujun Bao . Geodesic based semi-supervised multi-manifold feature extraction. ICDM, 2012.

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Wei Feng , Liang Wan , Zhouchen Lin , Tien-Tsin Wong , Zhi-Qiang Liu . Perceptual Thumbnail Generation. CRC Press, 2012.

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Qin Lyu , Zhouchen Lin , Yiyuan She , Chao Zhang . A comparison of typical ℓp minimization algorithms. Neurocomputing, 2012.

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Chunguang Li , Zhouchen Lin , Jun Guo . Bases sorting: Generalizing the concept of frequency for over-complete dictionaries. Neurocomputing, 2012.

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Liansheng Zhuang , Haoyuan Gao , Zhouchen Lin , Yi Ma , Xin Zhang , Nenghai Yu . Non-Negative Low Rank and Sparse Graph for Semi-Supervised Learning. CVPR, 2012.

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Risheng Liu , Zhouchen Lin , Fernando De la Torre , Zhixun Su . Fixed-Rank Representation for Unsupervised Visual Learning. CVPR, 2012.

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Wenming Zheng , Zhouchen Lin . A new discriminant subspace analysis approach for multi-class problems. PR, 2012.

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Dongwei Ren , Wangmeng Zuo , Xiaofei Zhao , Zhouchen Lin , David Zhang . Fast gradient vector flow computation based on augmented Lagrangian method. PRL, 2012.

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Zhouchen Lin , Risheng Liu , Zhixun Su . Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation. NIPS, 2011.

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Wangmeng Zuo , Zhouchen Lin . A Generalized Accelerated Proximal Gradient Approach for Total Variation-Based Image Restoration. TIP, 2011.

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Risheng Liu , Zhouchen Lin , Wei Zhang , Kewei Tang , Zhixun Su . Toward designing intelligent PDEs for computer vision An optimal control approach. IVC, 2011.

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Zhouchen Lin . Some Software Packages for Partial SVD Computation. 2011.

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Siming Wei , Zhouchen Lin . Analysis and Improvement of Low Rank Representation for Subspace segmentation. 2011.

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Moshe Ben-Ezra , Zhouchen Lin , Bennett Wilburn , Wei Zhang . Penrose Pixels for Super-Resolution. TPAMI, 2011.

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Wei Zhang , Zhouchen Lin , Xiaoou Tang . Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction. TKDE, 2011.

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Pengwei Hao , Yan Li , Zhouchen Lin , E. Dubois . A Geometric Method for Optimal Design of Color Filter Arrays. TIP, 2011.

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Yan Li , Pengwei Hao , Zhouchen Lin . The Frequency Structure Matrix: A Representation of Color Filter Arrays. IJIST, 2011.

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Zhouchen Lin , Siming Wei . A Block Lanczos with Warm Start Technique for Accelerating Nuclear Norm Minimization Algorithms. 2010.

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Risheng Liu , Zhouchen Lin , Zhixun Su , Kewei Tang . Feature Extraction by Learning Lorentzian Metric Tensor and Its Extensions. PR, 2010.

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Risheng Liu , Zhouchen Lin , Wei Zhang , Zhixun Su . Learning PDEs for Image Restoration via Optimal Control. ECCV, 2010.

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Wenming Zheng , Hao Tang , Zhouchen Lin , Thomas Huang . Emotion Recognition from Arbitrary View Facial Images. ECCV, 2010.

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Guangcan Liu , Zhouchen Lin , Yong Yu . Robust Subspace Segmentation by Low-Rank Representation. ICML, 2010.

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Guangcan Liu , Zhouchen Lin , Xiaoou Tang , Yong Yu . Unsupervised Object Segmentation with a Hybrid Graph Model. TPAMI, 2010.

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Wangmeng Zuo , Zhouchen Lin , Bennett S.Wilburn . Aperiodic pixel layout for super-resolution (Invited Paper). SPIE photonics Europe 2010, 2010.

Wenming Zheng , Zhouchen Lin , Xiaoou Tang . A Rank-One Update Algorithm for Fast Solving Kernel Foley-Sammon Optimal Discriminant Vectors. TNN, 2010.

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Jingjing Fu , Zhouchen Lin , Bing Zeng , Feng Wu . Tree Structure Based Analyses on Compressive Sensing for Binary Sparse Sources. DCC, 2010.

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Wangmeng Zuo , Zhouchen Lin , Zhenhua Guo , David Zhang . The Multiscale Competitive Code via Sparse Representation for Palmprint Verification. CVPR, 2010.

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Arvind Ganesh , Zhouchen Lin , John Wright , Leqin Wu , Minming Chen , Yi Ma . Fast Algorithms for Recovering a Corrupted Low-Rank Matrix. CAMSAP, 2009.

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Guangcan Liu , Zhouchen Lin , Yong Yu . Multi-output regression on the output manifold. PR, 2009.

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Zhouchen Lin , Junfeng He , Xiaoou Tang , Chi-Keung Tang . Fast, Automatic and Fine-Grained Tampered JPEG Images Detection via DCT Coefficient Analysis. PR, 2009.

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Zhouchen Lin , Minming Chen , Yi Ma . The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrix. Technical Report UILU-ENG-09-2215, 2009.

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Wei Zhang , Zhouchen Lin , Xiaoou Tang . Tensor linear Laplacian discrimination (TLLD) for feature extraction. PR, 2009.

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Zhouchen Lin , Arvind Ganesh , John Wright , Leqin Wu , Minming Chen , Yi Ma . Fast Convex Optimization Algorithms for Exact Recovery of a Corrupted Low-Rank Matrix. Technical Report UILU-ENG-09-2214, UIUC, 2009.

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Zhouchen Lin , Wei Zhang , Xiaoou Tang . Designing Partial Differential Equations for Image Processing by Combining Differential Invariants. MSR-TR-2009-192, 2009.

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Liang Wan , Zhouchen Lin . Signature Sample Synthesis. Springer, 2009.

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Zhouchen Lin . Learning-Based Image Superresolution Algorithms (in Chinese). Tsinghua University Press, 2009.

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Guangcan Liu , Zhouchen Lin , Yong Yu . Radon Representation-Based Feature Descriptor for Texture Classification. TIP, 2009.

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John Wright , Yangyu Tao , Zhouchen Lin , Yi Ma , Heung-Yeung Shum . Classification via Minimum Incremental Coding Length. SIIMS, 2009.

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Yanlin Geng , Tong Lin , Zhouchen Lin , Pengwei Hao . Refined Exponential Filter with Applications to Image Restoration and Interpolation. ACCV, 2009.

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Wenming Zheng , Zhouchen Lin . Optimizing Multi-class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification. NIPS, 2009.

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Risheng Liu , Zhixun Su , Zhouchen Lin , Xiaoyu Hou . Lorentzian Discriminant Projection and Its Applications. ACCV, 2009.

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Feng Wu , Jingjing Fu , Zhouchen Lin , Bing Zeng . Analysis on Rate-distortion Performance of Compressive Sensing for Binary Sparse Source. DCC, 2009.

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Wenming Zheng , Hao Tang , Zhouchen Lin , Thomas Huang . A Novel Approach to Expression Recognition from Non-frontal Face Images. ICCV, 2009.

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Zhouchen Lin , Wei Zhang . Learning Partial Differential Equations for Computer Vision. Higher Education Press, 2008.

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Liang Wan , Wei Feng , Zhouchen Lin , Tien-Tsin Wong , Zhi-Qiang Liu . Perceptual Image Preview. MSJ, 2008.

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Zhouchen Lin , Junfeng He , Xiaoou Tang , Chi-Keung Tang . Limits of Learning-Based Superresolution Algorithms. IJCV, 2008.

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Lifeng Wang , Zhouchen Lin , Wenle Wang , Kai Fu . One-Shot Approximate Local Shading. 2008.

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Zhouchen Lin , Wei Zhang , Xiaoou Tang . Learning Partial Differential Equations for Computer Vision. MSR-TR-2008-189, 2008.

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Yan Li , Pengwei Hao , Zhouchen Lin . Color Filter Arrays: Representation and Analysis. Tech. Report no. RR-08-04, Dept. of Computer Science, Queen Mary, Univ. of London, 2008.

Yan Li , Pengwei Hao , Zhouchen Lin . Color Filter Arrays: A Design Methodology. Tech. report no. RR-08-03, Dept. of Computer Science, Queen Mary, Univ. of London, 2008.

Jiaping Wang , Shuang Zhao , Xin Tong , Stephen Lin , Zhouchen Lin , Yue Dong , Baining Guo , Heung-Yeung Shum . Modeling and Rendering of Heterogeneous Translucent Materials Using the Diffusion Equation. TOG, 2008.

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Deli Zhao , Zhouchen Lin , Xiaoou Tang . Classification via Semi-Riemannian Spaces. CVPR, 2008.

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Zhouchen Lin , Junfeng He , Xiaoou Tang , Chi-Keung Tang . Real-Time Rendering of Realistic Rain. MSR-TR-2009-92, 2007.

Zhouchen Lin , Liang Wan . Style-preserving English handwriting synthesis. PR, 2007.

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Zhouchen Lin , Lifeng Wang , Yunbo Wang , Singbing Kang , Tian Fang . High Resolution Animated Scenes from Stills. TVCG, 2007.

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Moshe Ben-Ezra , Zhouchen Lin , Bennett Wilburn . Penrose Pixels: Super-Resolution in the Detector Layout Domain. ICCV, 2007.

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Deli Zhao , Zhouchen Lin , Rong Xiao , Xiaoou Tang . Linear Laplacian Discrimination for Feature Extraction. CVPR, 2007.

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Zhouchen Lin , Junfeng He , Xiaoou Tang , Chi-Keung Tang . Limits of Learning-Based Superresolution Algorithms. ICCV, 2007.

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Deli Zhao , Zhouchen Lin , Xiaoou Tang . Laplacian PCA and Its Applications. ICCV, 2007.

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Deli Zhao , Zhouchen Lin , Xiaoou Tang . Contextual Distance for Data Perception. ICCV, 2007.

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John Wright , Yangyu Tao , Zhouchen Lin , Yi Ma , Heung-Yeung Shum . Classification via Minimum Incremental Coding Length (MICL). NIPS, 2007.

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Guangcan Liu , Zhouchen Lin , Xiaoou Tang , Yong Yu . A Hybrid Graph Model for Unsupervised Object Segmentation. ICCV, 2007.

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Zhouchen Lin , Junfeng He , Zhicheng Zhong , Rongrong Wang , Heung-Yeung Shum . Table Detection in Online Ink Notes. TPAMI, 2006.

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Lifeng Wang , Zhouchen Lin , Tian Fang , Xu Yang , Xuan Yu , Sing Bing Kang . Real-Time Rendering of Realistic Rain. MSR-TR-2006-102, 2006.

Zhouchen Lin , Rongrong Wang , Heung-Yeung Shum . Rule-based cleanup of on-line English ink notes. PR, 2006.

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Zhouchen Lin , Heung-Yeung Shum . Response to Comments on Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation. TPAMI, 2006.

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Lifeng Wang , Zhouchen Lin , Tian Fang , Xu Yang , Xuan Yu , Singbing Kang . Real-Time Rendering of Realistic Rain. Siggraph, 2006.

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Zhouchen Lin , Lifeng Wang , Liang Wan . First Order Approximation for Texture Filtering. PG, 2006.

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Junfeng He , Zhouchen Lin , Lifeng Wang , Xiaoou Tang . Detecting Doctored JPEG Images via DCT Coefficient Analysis. ECCV, 2006.

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Zhouchen Lin , Hai-Tao Chen , Heung-Yeung Shum , Jian Wang . Pre-filtering 2D Polygons without Clipping. JGT, 2005.

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Zhouchen Lin , Hai-Tao Chen , Heung-Yeung Shum , Jian Wang . Optimal Polynomial Filters. JGT, 2005.

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Liang Wan , Bin Wan , Zhouchen Lin . On-Line Signature Verification With Two-Stage Statistical Models. ICDAR, 2005.

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Zhouchen Lin , Rongrong Wang , Xiaoou Tang , Heung-Yeung Shum . Detecting Doctored Images Using Camera Response Normality and Consistency. CVPR, 2005.

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Zhouchen Lin , Heung-Yeung Shum . A Geometric Analysis of Light Field Rendering. IJCV, 2004.

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Zhouchen Lin , Heung-Yeung Shum . Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation. TPAMI, 2004.

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Ke Deng , Lifeng Wang , Zhouchen Lin , Tao Feng , Zhidong Deng . Correction and rectification of light fields. CG, 2003.

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Liang Wan , Zhouchen Lin , Rong Chun Zhao . Signature verification using integrated classifiers. Sinobiometrics, 2003.

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Liang Wan , Zhouchen Lin , Rong-Chun Zhao . Off-line Signature Verification Incorporating the Prior Model. ICMLC, 2003.

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Zhouchen Lin , Tien-Tsin Wong , Heung-Yeung Shum . Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction. IJCV, 2002.

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Ke Deng , Lifeng Wang , Zhouchen Lin , Tao Feng , Zhidong Deng , Baining Guo . Correction and Rectification of Light Fields. VRAI, 2002.

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Zhouchen Lin , Tien-Tsin Wong , Heung-Yeung Shum . Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction. CVPR, 2001.

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Zhouchen Lin , Heung-Yeung Shum . On the Fundamental Limits of Reconstruction-Based Super-resolution Algorithms. CVPR, 2001.

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Zhouchen Lin , Heung-Yeung Shum . On the Number of Samples Needed in Light Field Rendering with Constant-depth Assumption. CVPR, 2000.

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Zhouchen Lin , Qingyun Shi . An Anisotropic Diffusion PDE for Noise Reduction and Thin Edge Preservation. ICIAP, 1999.

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Zhouchen Lin , Tsai-Man Shih . Numerical Analysis of the Bulging of Continuously Cast Slabs. SC, 1997.

Zhouchen Lin , Tsai-Man Shih . Constrained Optimal Control of Continuous Casting. THERMEC, 1997.