Abstract
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Xi-Le Zhao, Wei-Hao Wu, Michael K. Ng
Abstract
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openalex
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High-order tensor completion via a learnable t-product-induced fully-connected tensor network decomposition
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The expression of a tensor or a polyadic as a sum of products
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Multidimensional nonlinear transform-based tensor representation for high-dimensional image reconstruction
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Third-order tensors as operators on matrices: A theoretical and computational framework with applications in imaging
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Nonconvex low-rank tensor representation for multi-view subspace clustering with insufficient observed samples
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Self-supervised nonlinear transform-based tensor nuclear norm for multi-dimensional image recovery
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Auto-weighted tensor completion and its fast algorithm
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Exact tensor completion using t-SVD
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Tensor factorization for low-rank tensor completion
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High-order tensor completion via learnable nonlinear transformation and sparse regularization
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Low-tubal-rank tensor recovery with multilayer subspace prior learning
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Tensor–tensor products with invertible linear transforms
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Nonlinear transform induced tensor nuclear norm for tensor completion
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Robust tensor completion using transformed tensor singular value decomposition
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Recovery of future data via convolution nuclear norm minimization
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Convolutional low-rank tensor representation for structural missing traffic data imputation
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Tensor convolutional dictionary learning with CP low-rank activations
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Tensor completion via convolutional sparse coding with small samples-based training
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A learnable group-tube transform induced tensor nuclear norm and its application for tensor completion
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Superpixel-guided discriminative low-rank representation of hyperspectral images for classification
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Low-rank tensor completion with a new tensor nuclear norm induced by invertible linear transforms
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Framelet representation of tensor nuclear norm for third-order tensor completion
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Laplacian convolutional representation for traffic time series imputation
10.1109/tkde.2024.3419698 · 2024
Fast and accurate domain adaptation for irregular and regular tensor decomposition
10.1109/tkde.2026.3658145 · 2026
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Learnable transform-assisted tensor decomposition for spatio-irregular multidimensional data recovery
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10.24963/ijcai.2025/674 · doi-reference
Factorization strategies for third-order tensors
10.1016/j.laa.2010.09.020 · doi-reference
Low-rank tensor function representation for multi-dimensional data recovery
10.1109/tpami.2023.3341688 · doi-reference
Learnable transform-assisted tensor decomposition for spatio-irregular multidimensional data recovery
10.1145/3701235 · doi-reference
Fast and accurate domain adaptation for irregular and regular tensor decomposition
10.1109/tkde.2026.3658145 · doi-reference
Laplacian convolutional representation for traffic time series imputation
10.1109/tkde.2024.3419698 · doi-reference
10.1109/cvpr52688.2022.01870
10.1109/cvpr52688.2022.01870 · doi-reference
Framelet representation of tensor nuclear norm for third-order tensor completion
10.1109/tip.2020.3000349 · doi-reference
GNTD: reconstructing spatial transcriptomes with graph-guided neural tensor decomposition informed by spatial and functional relations
10.1038/s41467-023-44017-0 · doi-reference
Superpixel-guided discriminative low-rank representation of hyperspectral images for classification
10.1109/tip.2021.3120675 · doi-reference
A learnable group-tube transform induced tensor nuclear norm and its application for tensor completion
10.1137/22m1531907 · doi-reference
Tensor completion via convolutional sparse coding with small samples-based training
10.1016/j.patcog.2023.109624 · doi-reference
Tensor convolutional dictionary learning with CP low-rank activations
10.1109/tsp.2021.3135695 · doi-reference
Convolutional low-rank tensor representation for structural missing traffic data imputation
10.1109/tits.2024.3430039 · doi-reference
Recovery of future data via convolution nuclear norm minimization
10.1109/tit.2022.3196707 · doi-reference
Robust tensor completion using transformed tensor singular value decomposition
10.1002/nla.2299 · doi-reference
Nonlinear transform induced tensor nuclear norm for tensor completion
10.1007/s10915-022-01937-1 · doi-reference
Tensor–tensor products with invertible linear transforms
10.1016/j.laa.2015.07.021 · doi-reference
Low-tubal-rank tensor recovery with multilayer subspace prior learning
10.1016/j.patcog.2023.109545 · doi-reference
High-order tensor completion via learnable nonlinear transformation and sparse regularization
10.1016/j.patcog.2026.113901 · doi-reference
Tensor factorization for low-rank tensor completion
10.1109/tip.2017.2762595 · doi-reference
Exact tensor completion using t-SVD
10.1109/tsp.2016.2639466 · doi-reference
Auto-weighted tensor completion and its fast algorithm
10.1016/j.patcog.2025.112880 · doi-reference
Self-supervised nonlinear transform-based tensor nuclear norm for multi-dimensional image recovery
10.1109/tip.2022.3176220 · doi-reference
Nonconvex low-rank tensor representation for multi-view subspace clustering with insufficient observed samples
10.1109/tkde.2025.3555043 · doi-reference
Third-order tensors as operators on matrices: A theoretical and computational framework with applications in imaging
10.1137/110837711 · doi-reference
Multidimensional nonlinear transform-based tensor representation for high-dimensional image reconstruction
10.1016/j.patcog.2025.111734 · doi-reference
Tensor-train decomposition
10.1137/090752286 · doi-reference
The expression of a tensor or a polyadic as a sum of products
10.1002/sapm192761164 · doi-reference
Efficient and compact tensor wheel decomposition for tensor completion
10.1016/j.patcog.2025.112377 · doi-reference
Defending adversarial attacks in graph neural networks via tensor enhancement
10.1016/j.patcog.2024.110954 · doi-reference
Fine-grained tensor completion for incomplete multi-view clustering
10.1016/j.patcog.2025.112956 · doi-reference
Low-rank sparse fully-connected tensor network for tensor completion
10.1016/j.patcog.2024.111000 · doi-reference
Coupled tensor train decomposition in federated learning
10.1016/j.patcog.2025.112067 · doi-reference
High-order tensor completion via a learnable t-product-induced fully-connected tensor network decomposition
10.1016/j.patcog.2026.114332 · doi-reference