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cs.AI2026
Generative Models: Principles, Architectures, and Applications
Jun Lu
Generative AI has emerged as one of the most transformative forces in modern artificial intelligence, reshaping how we create, imagine, and interact with digital content. From phot…
math.NA2026
Bayesian Matrix Decomposition and Applications
Jun Lu
The sole aim of this book is to give a self-contained introduction to concepts and mathematical tools in Bayesian matrix decomposition in order to seamlessly introduce matrix decom…
math.HO2026
A First Course in Sparse Optimization
Jun Lu
This article aims to provide a comprehensive overview of sparse optimization, with a focus on both sparse signal recovery and sparse regularization techniques. We will begin by exp…