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Jing Qin

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Preprint Aug 2026

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling

Robust Iterative t-CUR (R-ItCUR), a tensor-native algorithm that partitions the sampled tensor cross into two exterior blocks and an intersection block, applies adaptive blockwise Welsch correction for outlier suppression, and updates the low-rank component through projected blockwise gradient descent is proposed.

Hanqin Cai, Long-Xiu Huang, Jing Qin et al. · 0 citations
#machine learning Preprint Aug 2026

Separable Nonnegative Matrix Factorization Using Powered Ratio-of-Norms Regularization

This work develops efficient algorithms based on the difference-of-convex function algorithm (DCA) and the alternating direction method of multipliers (ADMM) to enhance sparsity and identifiability of the learned factors in separable nonnegative matrix factorization.

Matthew McCarver, Jing Qin · 0 citations

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