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- Canyi Lu
aka: Can-Yi Lu
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Publication search results
found 65 matches
- 2023
- Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin Xiao, Yuan He, Canyi Lu:
Robust generative adversarial network. Mach. Learn. 112(12): 5135-5161 (2023) - Yaru Su, Zhenning Hong, Xiaohui Wu, Canyi Lu:
Invertible linear transforms based adaptive multi-view subspace clustering. Signal Process. 209: 109014 (2023) - 2021
- Hao Kong, Canyi Lu, Zhouchen Lin:
Tensor Q-rank: new data dependent definition of tensor rank. Mach. Learn. 110(7): 1867-1900 (2021) - Pan Zhou, Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Tensor Low-Rank Representation for Data Recovery and Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1718-1732 (2021) - Canyi Lu:
Transforms based Tensor Robust PCA: Corrupted Low-Rank Tensors Recovery via Convex Optimization. ICCV 2021: 1125-1132 - 2020
- Canyi Huang, Keding Li, Jianqiang Du, Bin Nie, Guoliang Xu, Wangping Xiong, Jigen Luo:
Research on Hybrid Feature Selection Method Based on Iterative Approximation Markov Blanket. Comput. Math. Methods Medicine 2020: 8308173:1-8308173:11 (2020) - Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan:
Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 925-938 (2020) - 2019
- Le Thi Khanh Hien, Cuong V. Nguyen, Huan Xu, Canyi Lu, Jiashi Feng:
Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization. J. Optim. Theory Appl. 181(2): 541-566 (2019) - Canyi Lu, Jiashi Feng, Zhouchen Lin, Tao Mei, Shuicheng Yan:
Subspace Clustering by Block Diagonal Representation. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 487-501 (2019) - Canyi Lu, Xi Peng, Yunchao Wei:
Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms. CVPR 2019: 5996-6004 - Canyi Lu, Pan Zhou:
Exact Recovery of Tensor Robust Principal Component Analysis under Linear Transforms. CoRR abs/1907.08288 (2019) - 2018
- Canyi Lu, Jiashi Feng, Shuicheng Yan, Zhouchen Lin:
A Unified Alternating Direction Method of Multipliers by Majorization Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 527-541 (2018) - Canyi Lu, Huan Li, Zhouchen Lin:
Optimized projections for compressed sensing via direct mutual coherence minimization. Signal Process. 151: 45-55 (2018) - Pan Zhou, Canyi Lu, Zhouchen Lin, Chao Zhang:
Tensor Factorization for Low-Rank Tensor Completion. IEEE Trans. Image Process. 27(3): 1152-1163 (2018) - Xi Peng, Canyi Lu, Zhang Yi, Huajin Tang:
Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations. IEEE Trans. Neural Networks Learn. Syst. 29(1): 218-224 (2018) - Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis. AAAI 2018: 3714-3721 - Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements. IJCAI 2018: 2504-2510 - Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan:
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm. CoRR abs/1804.03728 (2018) - Canyi Lu, Jiashi Feng, Zhouchen Lin, Tao Mei, Shuicheng Yan:
Subspace Clustering by Block Diagonal Representation. CoRR abs/1805.09243 (2018) - Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements. CoRR abs/1806.02511 (2018) - Canyi Lu:
Tensor-Tensor Product Toolbox. CoRR abs/1806.07247 (2018) - 2017
- Yunchao Wei, Yao Zhao, Canyi Lu, Shikui Wei, Luoqi Liu, Zhenfeng Zhu, Shuicheng Yan:
Cross-Modal Retrieval With CNN Visual Features: A New Baseline. IEEE Trans. Cybern. 47(2): 449-460 (2017) - 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. CoRR abs/1708.04181 (2017) - Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis. CoRR abs/1712.02979 (2017) - 2016
- Chunyan Xu, Canyi Lu, Xiaodan Liang, Junbin Gao, Wei Zheng, Tianjiang Wang, Shuicheng Yan:
Multi-loss Regularized Deep Neural Network. IEEE Trans. Circuits Syst. Video Technol. 26(12): 2273-2283 (2016) - Canyi Lu, Jinhui Tang, Shuicheng Yan, Zhouchen Lin:
Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm. IEEE Trans. Image Process. 25(2): 829-839 (2016) - Canyi Lu, Shuicheng Yan, Zhouchen Lin:
Convex Sparse Spectral Clustering: Single-View to Multi-View. IEEE Trans. Image Process. 25(6): 2833-2843 (2016) - Canyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan:
Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting. AAAI 2016: 739-745 - 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: 5249-5257 - Canyi Lu, Jiashi Feng, Shuicheng Yan, Zhouchen Lin:
A Unified Alternating Direction Method of Multipliers by Majorization Minimization. CoRR abs/1607.02584 (2016)
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