activity
20052024
most citedAugmented L1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm

110 citations · 237 across the 27 of their papers we have counts for

collaborators

27 papers

math.NA2024

Multivariate Splines and Their Applications

Ming-Jun Lai

This paper begins by reviewing numerous theoretical advancements in the field of multivariate splines, primarily contributed by Professor Larry L. Schumaker. These foundational res…

cs.LG2022

Graph-based Semi-supervised Local Clustering with Few Labeled Nodes

Zhaiming Shen, Ming-Jun Lai, Sheng Li

Local clustering aims at extracting a local structure inside a graph without the necessity of knowing the entire graph structure. As the local structure is usually small in size co…

math.NA2022

On Locality of Harmonic Generalized Barycentric Coordinates and Their Application to Solution of the Poisson Equation

Chongyang Deng, Ming-Jun Lai

We first extend the construction of generalized barycentric coordinates (GBC) based on the vertices on the boundary of a polygon to a new kind of GBCs based on vertices inside…

math.NA2022★ 1 cited

Trivariate Spline Collocation Methods for Numerical Solution to 3D Monge-Ampère Equation

Ming-Jun Lai, Jinsil Lee

We use trivariate spline functions for the numerical solution of the Dirichlet problem of the 3D elliptic Monge-Ampére equation. Mainly we use the spline collocation method introdu…

math.NA2022

The Harmonic GBC Function Map is a Bijection if the Target Domain is Convex

Chongyang Deng, Tsung-wei Hu, Ming-Jun Lai

Harmonic generalized barycentric coordinates (GBC) functions have been used for cartoon animation since an early work in 2006\cite{JMDGS06}. A computational procedure was further d…

cs.LG2022

A Compressed Sensing Based Least Squares Approach to Semi-supervised Local Cluster Extraction

Ming-Jun Lai, Zhaiming Shen

A least squares semi-supervised local clustering algorithm based on the idea of compressed sensing is proposed to extract clusters from a graph with known adjacency matrix. The alg…