Matrix and Tensor Completion for Background Model Initialization

Python Package for Tensor Completion Algorithms

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

A collection of tensor completion algorithms

Python code and data for "Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging", IEEE TIP 2022

Python code and data for "Attention-Guided Low-Rank Tensor Completion", IEEE TPAMI 2024

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)

Python code for "Deep Unfolding Tensor Rank Minimization with Generalized Detail Injection for Pansharpening", IEEE TGRS 2024

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

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

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

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

Nonconvex Optimization for Third Order Tensor Completion Under Wavelet Transform

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

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

End-to-End Python implementation of Mo et al.'s (2025) ACT-Tensor methodology; a tensor completion framework for financial dataset imputation. Implements cluster-based CP decomposition, HOSVD factor extraction, temporal smoothing (CMA/EMA/Kalman), and downstream asset pricing evaluation. Transforms sparse data into dense machine readable data.

This repository aims to design the coded apertures for rolling shutter video. The reconstruction is performed using the captured compressive projection using two methods, interpolation, and tensor compleition.

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