Canyi Lu

According to our database, Canyi Lu authored at least 45 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Robust generative adversarial network.

Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin Xiao, Yuan He, Canyi Lu

Mach. Learn., December, 2023

Invertible linear transforms based adaptive multi-view subspace clustering.

Yaru Su, Zhenning Hong, Xiaohui Wu, Canyi Lu

Signal Process., 2023

2021

Tensor Low-Rank Representation for Data Recovery and Clustering.

Pan Zhou, Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Tensor Q-rank: new data dependent definition of tensor rank.

Hao Kong, Canyi Lu, Zhouchen Lin

Mach. Learn., 2021

Transforms based Tensor Robust PCA: Corrupted Low-Rank Tensors Recovery via Convex Optimization.

Canyi Lu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm.

Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2020

2019

Subspace Clustering by Block Diagonal Representation.

Canyi Lu, Jiashi Feng, Zhouchen Lin, Tao Mei, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization.

Le Thi Khanh Hien, Cuong V. Nguyen, Huan Xu, Canyi Lu, Jiashi Feng

J. Optim. Theory Appl., 2019

Exact Recovery of Tensor Robust Principal Component Analysis under Linear Transforms.

Canyi Lu, Pan Zhou

CoRR, 2019

Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms.

Canyi Lu, Xi Peng, Yunchao Wei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations.

Xi Peng, Canyi Lu, Zhang Yi, Huajin Tang

IEEE Trans. Neural Networks Learn. Syst., 2018

Tensor Factorization for Low-Rank Tensor Completion.

Pan Zhou, Canyi Lu, Zhouchen Lin, Chao Zhang

IEEE Trans. Image Process., 2018

Optimized projections for compressed sensing via direct mutual coherence minimization.

Canyi Lu, Huan Li, Zhouchen Lin

Signal Process., 2018

A Unified Alternating Direction Method of Multipliers by Majorization Minimization.

Canyi Lu, Jiashi Feng, Shuicheng Yan, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Tensor-Tensor Product Toolbox.

Canyi Lu

CoRR, 2018

Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements.

Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

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

Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Cross-Modal Retrieval With CNN Visual Features: A New Baseline.

Yunchao Wei, Yao Zhao, Canyi Lu, Shikui Wei, Luoqi Liu, Zhenfeng Zhu, Shuicheng Yan

IEEE Trans. Cybern., 2017

2016

Convex Sparse Spectral Clustering: Single-View to Multi-View.

Canyi Lu, Shuicheng Yan, Zhouchen Lin

IEEE Trans. Image Process., 2016

Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm.

Canyi Lu, Jinhui Tang, Shuicheng Yan, Zhouchen Lin

IEEE Trans. Image Process., 2016

Multi-loss Regularized Deep Neural Network.

Chunyan Xu, Canyi Lu, Xiaodan Liang, Junbin Gao, Wei Zheng, Tianjiang Wang, Shuicheng Yan

IEEE Trans. Circuits Syst. Video Technol., 2016

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

Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting.

Canyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

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

Canyi Lu, Zhouchen Lin, Shuicheng Yan

IEEE Trans. Image Process., 2015

Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups.

Chunyan Xu, Canyi Lu, Junbin Gao, Wei Zheng, Tianjiang Wang, Shuicheng Yan

IEEE Trans. Circuits Syst. Video Technol., 2015

Facial Analysis With a Lie Group Kernel.

Chunyan Xu, Canyi Lu, Junbin Gao, Tianjiang Wang, Shuicheng Yan

IEEE Trans. Circuits Syst. Video Technol., 2015

Adaptive Nonparametric Image Parsing.

Tam V. Nguyen, Canyi Lu, Jose Sepulveda, Shuicheng Yan

IEEE Trans. Circuits Syst. Video Technol., 2015

Projection onto the capped simplex.

Weiran Wang, Canyi Lu

CoRR, 2015

Optimized Projection for Sparse Representation Based Classification.

Canyi Lu, De-Shuang Huang

CoRR, 2015

Connections Between Nuclear Norm and Frobenius Norm Based Representation.

Xi Peng, Canyi Lu, Zhang Yi, Huajin Tang

CoRR, 2015

Imputation of ChIP-seq datasets via Low Rank Convex Co-Embedding.

Lin Zhu, Wei-Li Guo, De-Shuang Huang, Canyi Lu

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Generalized Singular Value Thresholding.

Canyi Lu, Changbo Zhu, Chunyan Xu, Shuicheng Yan, Zhouchen Lin

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Robust Face Recognition via Adaptive Sparse Representation.

Jing Wang, Canyi Lu, Meng Wang, Pei-Pei Li, Shuicheng Yan, Xuegang Hu

IEEE Trans. Cybern., 2014

Optimizing widths with PSO for center selection of Gaussian radial basis function networks.

Zhong-Qiu Zhao, Xindong Wu, Canyi Lu, Hervé Glotin, Jun Gao

Sci. China Inf. Sci., 2014

Efficient k-Support Matrix Pursuit.

Hanjiang Lai, Yan Pan, Canyi Lu, Yong Tang, Shuicheng Yan

Proceedings of the Computer Vision - ECCV 2014, 2014

Generalized Nonconvex Nonsmooth Low-Rank Minimization.

Canyi Lu, Jinhui Tang, Shuicheng Yan, Zhouchen Lin

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization.

Canyi Lu, Yunchao Wei, Zhouchen Lin, Shuicheng Yan

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Face recognition via Weighted Sparse Representation.

Can-Yi Lu, Hai Min, Jie Gui, Lin Zhu, Ying-Ke Lei

J. Vis. Commun. Image Represent., 2013

Optimized projections for sparse representation based classification.

Can-Yi Lu, De-Shuang Huang

Neurocomputing, 2013

A new decision rule for sparse representation based classification for face recognition.

Jiang Li, Can-Yi Lu

Neurocomputing, 2013

Correntropy Induced L2 Graph for Robust Subspace Clustering.

Can-Yi Lu, Jinhui Tang, Min Lin, Liang Lin, Shuicheng Yan, Zhouchen Lin

Proceedings of the IEEE International Conference on Computer Vision, 2013

Correlation Adaptive Subspace Segmentation by Trace Lasso.

Can-Yi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Robust and Efficient Subspace Segmentation via Least Squares Regression.

Can-Yi Lu, Hai Min, Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang, Shuicheng Yan

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

CCC: Classifier Combination via Classifier.

Can-Yi Lu

Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011

Optimized Projection for Sparse Representation Based Classification.

Can-Yi Lu

Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011