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Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN


Nov 25, 2021
Wen Yu, Baiying Lei, Yanyan Shen, Shuqiang Wang, Yong Liu, Zhiguang Feng, Yong Hu, Michael K. Ng


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FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal


Sep 18, 2021
Lina Zhuang, Michael K. Ng


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On Measurement Number of Phase-only Signal Reconstruction


Sep 08, 2021
Junren Chen, Michael K. Ng


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Co-Separable Nonnegative Matrix Factorization


Sep 02, 2021
Junjun Pan, Michael K. Ng


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Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks


Aug 30, 2021
Yihang Gao, Michael K. Ng


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Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery


May 29, 2021
Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Michael K. Ng, Chao Li


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Approximation for Probability Distributions by Wasserstein GAN


Mar 18, 2021
Yihang Gao, Michael K. Ng

* 15 pages 

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On $O( \max \{n_1, n_2 \}\log ( \max \{ n_1, n_2 \} n_3) )$ Sample Entries for $n_1 \times n_2 \times n_3$ Tensor Completion via Unitary Transformation


Dec 16, 2020
Guang-Jing Song, Michael K. Ng, Xiongjun Zhang


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Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Images and Videos Inpainting


Nov 17, 2020
Zhigang Jia, Qiyu Jin, Michael K. Ng, Xile Zhao

* 22 pages, 10 figures 

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Dictionary Learning with Low-rank Coding Coefficients for Tensor Completion


Sep 26, 2020
Tai-Xiang Jiang, Xi-Le Zhao, Hao Zhang, Michael K. Ng


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Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation


Sep 02, 2020
Guangjing Song, Michael K. Ng, Tai-Xiang Jiang


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Tensorizing GAN with High-Order Pooling for Alzheimer's Disease Assessment


Aug 03, 2020
Wen Yu, Baiying Lei, Michael K. Ng, Albert C. Cheung, Yanyan Shen, Shuqiang Wang

* 15 pages, 20 figures 

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Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images


Jul 28, 2020
Tai-Xiang Jiang, Michael K. Ng, Junjun Pan, Guangjing Song


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Sparse Nonnegative Tensor Factorization and Completion with Noisy Observations


Jul 21, 2020
Xiongjun Zhang, Michael K. Ng


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Tensor train rank minimization with nonlocal self-similarity for tensor completion


Apr 29, 2020
Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Michael K. Ng, Tian-Hui Ma


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Orthogonal Nonnegative Tucker Decomposition


Oct 27, 2019
Junjun Pan, Michael K. Ng, Ye Liu, Xiongjun Zhang, Hong Yan


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Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal


Oct 18, 2019
Jie Zhang, Yuping Duan, Yue Lu, Michael K. Ng, Huibin Chang


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Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion


Sep 16, 2019
Tai-Xiang Jiang, Michael K. Ng, Xi-Le Zhao, Ting-Zhu Huang


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Robust Tensor Completion Using Transformed Tensor SVD


Jul 02, 2019
Guangjing Song, Michael K. Ng, Xiongjun Zhang


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Parallel Active Subspace Decomposition for Scalable and Efficient Tensor Robust Principal Component Analysis


Dec 28, 2017
Jonathan Q. Jiang, Michael K. Ng

* 19 pages, 2 figures, 2 tables 

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Exact Tensor Completion from Sparsely Corrupted Observations via Convex Optimization


Aug 02, 2017
Jonathan Q. Jiang, Michael K. Ng

* 36 pages, 9 figures 

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Sparse Kernel Canonical Correlation Analysis via $\ell_1$-regularization


Jan 16, 2017
Xiaowei Zhang, Delin Chu, Li-Zhi Liao, Michael K. Ng


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