81 citations · 256 across the 26 of their papers we have counts for
27 papers
Rainfall-induced Mass Movement as Self-organization Process
Zhengjing Ma, Gang Mei, Nengxiong Xu +2
Self-organizing processes shape Earth's surface, creating complex patterns from simple rules in most landforms. Rainfall-induced mass movements dramatically reshape landscapes thro…
Statistically Accurate and Robust Generative Prediction of Rock Discontinuities with A Tabular Foundation Model
Han Meng, Gang Mei, Hong Tian +2
Rock discontinuities critically govern the mechanical behavior and stability of rock masses. Their internal distributions remain largely unobservable and are typically inferred fro…
Tracking the Spatiotemporal Evolution of Landslide Scars Using a Vision Foundation Model: A Novel and Universal Framework
Meijun Zhou, Gang Mei, Zhengjing Ma +2
Tracking the spatiotemporal evolution of large-scale landslide scars is critical for understanding the evolution mechanisms and failure precursors, enabling effective early-warning…
Simple and Robust Forecasting of Spatiotemporally Correlated Small Earth Data with A Tabular Foundation Model
Yuting Yang, Gang Mei, Zhengjing Ma +2
Small Earth data are geoscience observations with limited short-term monitoring variability, providing sparse but meaningful measurements, typically exhibiting spatiotemporal corre…
Heterogeneous Data Fusion Considering Spatial Correlations using Graph Convolutional Networks and its Application in Air Quality Prediction
Zhengjing Ma, Gang Mei, Salvatore Cuomo +1
Heterogeneous data are commonly adopted as the inputs for some models that predict the future trends of some observations. Existing predictive models typically ignore the inconsist…
KCoreMotif: An Efficient Graph Clustering Algorithm for Large Networks by Exploiting k-core Decomposition and Motifs
Gang Mei, Jingzhi Tu, Lei Xiao +1
Clustering analysis has been widely used in trust evaluation on various complex networks such as wireless sensors networks and online social networks. Spectral clustering is one of…
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…
GeoMFree3D: An Under-Development Meshfree Software Package for Geomechanics
Gang Mei, Nengxiong Xu, Liangliang Xu +1
This paper briefly reports the GeoMFree3D, a meshfree / meshless software package designed for analyzing the problems of large deformations and crack propagations of rock and soil…
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…
Improving GPU-accelerated Adaptive IDW Interpolation Algorithm Using Fast kNN Search
Gang Mei, Nengxiong Xu, Liangliang Xu
This paper presents an efficient parallel Adaptive Inverse Distance Weighting (AIDW) interpolation algorithm on modern Graphics Processing Unit (GPU). The presented algorithm is an…
Accelerating Adaptive IDW Interpolation Algorithm on a Single GPU
Gang Mei, Liangliang Xu, Nengxiong Xu
This paper focuses on the design and implementing of GPU-accelerated Adaptive Inverse Distance Weighting (AIDW) interpolation algorithm. The AIDW is an improved version of the stan…
gScan: Accelerating Graham Scan on the GPU
Gang Mei
This paper presents a fast implementation of the Graham scan on the GPU. The proposed algorithm is composed of two stages: (1) two rounds of preprocessing performed on the GPU and…
CudaChain: A Practical GPU-accelerated 2D Convex Hull Algorithm
Gang Mei
This paper presents a practical GPU-accelerated convex hull algorithm and a novel Sorting-based Preprocessing Approach (SPA) for planar point sets. The proposed algorithm consists…
On the Accelerating of Two-dimensional Smart Laplacian Smoothing on the GPU
Kunyang Zhao, Gang Mei, Nengxiong Xu +1
This paper presents a GPU-accelerated implementation of two-dimensional Smart Laplacian smoothing. This implementation is developed under the guideline of our paradigm for accelera…
A Novel Implementation of QuickHull Algorithm on the GPU
Jiayin Zhang, Gang Mei, Nengxiong Xu +1
We present a novel GPU-accelerated implementation of the QuickHull algorihtm for calculating convex hulls of planar point sets. We also describe a practical solution to demonstrate…
A Straightforward Preprocessing Approach for Accelerating Convex Hull Computations on the GPU
Gang Mei
An effective strategy for accelerating the calculation of convex hulls for point sets is to filter the input points by discarding interior points. In this paper, we present such a…
3D Geological Modeling and Visualization of Rock Masses Based on Google Earth: A Case Study
Gang Mei, John C. Tipper, Nengxiong Xu
Google Earth (GE) has become a powerful tool for geological modeling and visualization. An interesting and useful feature of GE, Google Street View, can allow the GE users to view…
Discrete Surface Modeling Based on Google Earth: A Case Study
Gang Mei, John C. Tipper, Nengxiong Xu
Google Earth (GE) has become a powerful tool for geological, geophysical and geographical modeling; yet GE can be accepted to acquire elevation data of terrain. In this paper, we p…
A Hybrid Approach for Optimizing Planar Triangular Meshes
Gang Mei, John C. Tipper, Nengxiong Xu
Modified Direct Method (MDM) is an iterative scheme based on Jacobi iterations for smoothing planar meshes [4]. The basic idea behind MDM is to make any triangular element be as cl…
An Algorithm for Finding Convex Hulls of Planar Point Sets
Gang Mei, John C. Tipper, Nengxiong Xu
This paper presents an alternate choice of computing the convex hulls (CHs) for planar point sets. We firstly discard the interior points and then sort the remaining vertices by x-…