18 citations · 33 across the 5 of their papers we have counts for
5 papers
svds-C: A Multi-Thread C Code for Computing Truncated Singular Value Decomposition
Xu Feng, Wenjian Yu, Yuyang Xie
This article presents svds-C, an open-source and high-performance C program for accurately and robustly computing truncated SVD, e.g. computing several largest singular values and…
Algorithm xxx: Faster Randomized SVD with Dynamic Shifts
Xu Feng, Wenjian Yu, Yuyang Xie +1
Aiming to provide a faster and convenient truncated SVD algorithm for large sparse matrices from real applications (i.e. for computing a few of largest singular values and the corr…
SketchNE: Embedding Billion-Scale Networks Accurately in One Hour
Yuyang Xie, Yuxiao Dong, Jiezhong Qiu +3
We study large-scale network embedding with the goal of generating high-quality embeddings for networks with more than 1 billion vertices and 100 billion edges. Recent attempts Lig…
Faster Matrix Completion Using Randomized SVD
Xu Feng, Wenjian Yu, Yaohang Li
Matrix completion is a widely used technique for image inpainting and personalized recommender system, etc. In this work, we focus on accelerating the matrix completion using faste…
Fast Randomized PCA for Sparse Data
Xu Feng, Yuyang Xie, Mingye Song +2
Principal component analysis (PCA) is widely used for dimension reduction and embedding of real data in social network analysis, information retrieval, and natural language process…