Matrix and Tensor Completion for Background Model Initialization

Python Package for Tensor Completion Algorithms

A collection of tensor completion algorithms

MATLAB code for the coarray tensor completion-based 2-D DOA estimation algorithm

Python code and data for "Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging"

This project aims to realize the tensor completion algorithms via tensor ring decomposition.

Laplacian-enhanced tensor learning for large-scale spatiotemporal traffic data kriging (estimation)

KDD2021: Code for MTC algorithm. We use coarse granular data and partially observed data to (low-rank) recover the fine granular data.

T-product factorization based method for matrix and tensor completion problems

Python code for "Deep Unfolding Tensor Rank Minimization with Generalized Detail Injection for Pansharpening"

My graduate research on low-rank matrix and tensor completion, and maximum volume algorithms for finding dominant submatrices.

Low-rank tensor recovery via non-convex regularization, structured factorization and spatio-temporal characteristics

Python code and data for "Attention-Guided Low-Rank Tensor Completion"

Implements the code from the publication A distributed proximal gradient descent methods for tensor completion

Nonconvex Optimization for Third Order Tensor Completion Under Wavelet Transform

Tensor Factorization Based Method for Tensor Completion with Spatio-Temporal Characterization

Master's coursework project on Advanced Machine Learning at HCMUS: Tensor Networks and Their Applications

Implementation of tensor network algorithms for completion of sparsely sampled quantum states