Structured matrix factorization, low-rank models, matrix completion

Deep Unfolded Tensor Robust PCA with Self-supervised Learning

Higher-order Link Prediction via Learnable Maximum Mean Discrepancy

ENHANCING SPATIO-SPECTRAL REGULARIZATION BY STRUCTURE TENSOR MODELING FOR HYPERSPECTRAL IMAGE DENOISING

Various Performance Bounds on the Estimation of Low-Rank Probability Mass Function Tensors from Partial Observations

SPECTRAL SUPER-RESOLUTION ON THE UNIT CIRCLE VIA GRADIENT DESCENT

ROBUST AND GLOBALLY SPARSE PCA VIA MAJORIZATION-MINIMIZATION AND VARIABLE SPLITTING