Nowadays, a large amount of information has to be transmitted or processed. This implies
high-power processing, large memory density, and increased energy consumption. In …

Single-pixel imaging (SPI) uses a single-pixel detector instead of a detector array with a lot
of pixels in traditional imaging techniques to realize two-dimensional or even multi …

We establish theoretical recovery guarantees of a family of Riemannian optimization
algorithms for low rank matrix recovery, which is about recovering an m*n rank r matrix from …

We survey optimization problems that involve the cardinality of variable vectors in
constraints or the objective function. We provide a unified viewpoint on the general problem …

Matrix completion involves recovering a matrix from a subset of its entries by utilizing
interdependency between the entries, typically through low rank structure. Despite matrix …

A spectrally sparse signal of order r is a mixture of r damped or undamped complex
sinusoids. This paper investigates the problem of reconstructing spectrally sparse signals …

This paper focuses on the problem of student knowledge diagnosis that is a basic task of
realizing personalized education. Most traditional methods rely on the question-concept …