16 citations · 16 across the 1 of their papers we have counts for
6 papers
Julia Language in Machine Learning: Algorithms, Applications, and Open Issues
Kaifeng Gao, Gang Mei, Francesco Piccialli +3
Machine learning is driving development across many fields in science and engineering. A simple and efficient programming language could accelerate applications of machine learning…
juSFEM: A Julia-based Open-source Package of Parallel Smoothed Finite Element Method (S-FEM) for Elastic Problems
Zenan Huo, Gang Mei, Nengxiong Xu
The Smoothed Finite Element Method (S-FEM) proposed by Liu G.R. can achieve more accurate results than the conventional FEM. Currently, much commercial software and many open-sourc…
Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data
Kaifeng Gao, Gang Mei, Salvatore Cuomo +2
The quality of datasets is a critical issue in big data mining. More interesting things could be mined from datasets with higher quality. The existence of missing values in geograp…
A Simple and Generic Paradigm for Creating Complex Networks Using the Strategy of Vertex Selecting-and-Pairing
Shuangyan Wang, Gang Mei
In many networks of scientific interest we know that the link between any pair of vertices conforms to a specific probability, such as the link probability in the Barabási-Albert s…
Degree Distribution of Delaunay Triangulations
Gang Mei, Nengxiong Xu, Salvatore Cuomo
Delaunay triangulation can be considered as a type of complex networks. For complex networks, the degree distribution is one of the most important inherent characteristics. In this…
A Parallel Solution to Finding Nodal Neighbors in Generic Meshes
Gang Mei, Nengxiong Xu, Hong Tian +1
In this paper we specifically present a parallel solution to finding the one-ring neighboring nodes and elements for each vertex in generic meshes. The finding of nodal neighbors i…