A Library of ADMM for Sparse and Low-rank Optimization

Sample implementations of proximal operators

Graph Signal Processing in Matlab

Code for paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"

A simulation framework for topology identification and model parameter estimation in power distribution grids: https://ieeexplore.ieee.org/document/8601410

Graph Learning from Data

GraSP: a Graph Signal Processing toolbox for Matlab

Signal Processing on non-euclidien domain signals

Convex Optimization code collection of solved problems and algorithms

This folder contains the source codes and data for the metallic glass paper

Matlab implementation of projected gradient descent

MATLAB code for 「Missing traffic data imputation and pattern discovery with a Bayesian augmented tensor factorization model」.

LDS-toolbox: a matlab toolbox for linear dynamical systems (LDSs) modeling

Code to go with ICASSP 2017 publication "Graph learning under sparsity priors"

GRAPH signal processing (GSP) is an emerging field that studies signals supported on irregular domains. It extends traditional signal processing techniques to more intricate data structures, findin…

Code performing "sparse low-rank indentification" on resting state fMRI data

Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection implementation found in the following paper https://arxiv.org/abs/1809.08353

Project for CMSC 663 and 664 involving adaptive ADMM

Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs

An efficient algorithm to learn graph for semi-supervised learning

Discriminative Graph Learning with Sparsity Regularization

Multi-Group Analysis of Functional/Structural Brain Networks with OMST and GDD metric

Code for computing extracopularity coefficients in 3D particle packings

Drug target interaction prediction using Multi Graph Regularized Nuclear Norm Minimization

Matlab Based GSP and Machine Learning Algorithm

An Graph-based Integration of different Diffusion Metrics Into a Single Structural Brain Network

A robust clustering algorithm baesd on joint structed graph learning and l1-norm spectral embedding

G2S3 (Sparse and Smooth Signal of Gene Graph-based imputation)

Mask Combination of Multi-layer Graphs for Global Structure Inference