Author

Feng Zhang

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Preprint Sep 2026

Robust low-rank tensor completion via factorized weighted tensor schatten-p norm minimization

Low-rank tensor factorization provides a flexible framework for completing multidimensional data from incomplete and corrupted observations. However, unweighted spectral regularizers impose a common shrinkage profile across singular components, which may excessively attenuate dominant low-rank components, and factorize...

Bing-Hao Wang, Feng Zhang, Wen-Dong Wang et al. · 0 citations

#machine learning Preprint Sep 2026

Semi-Tensor Product-Based Multi-Term Randomized T-SVD and Its Visual Applications

Tensor singular value decomposition (T-SVD), which is built upon the tensor-tensor product (t-product), has emerged as a powerful tool for processing high-dimensional visual data such as color images and videos. However, the standard t-product imposes strict dimensional compatibility constraints. Although extensions ba...

Xing-Chen Xiao, Feng Zhang, Wen-Jin Qin et al. · 0 citations