48 citations · 127 across the 25 of their papers we have counts for
25 papers
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…
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…
Practical Topics in Optimization
Jun Lu
In an era where data-driven decision-making and computational efficiency are paramount, optimization plays a foundational role in advancing fields such as mathematics, computer sci…
Low-Rank Approximation, Adaptation, and Other Tales
Jun Lu
Low-rank approximation is a fundamental technique in modern data analysis, widely utilized across various fields such as signal processing, machine learning, and natural language p…
LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning
Junyi Lu, Lei Yu, Xiaojia Li +2
The automation of code review activities, a long-standing pursuit in software engineering, has been primarily addressed by numerous domain-specific pre-trained models. Despite thei…
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…