8 citations · 8 across the 4 of their papers we have counts for
4 papers
Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting
Ngoc-Dung Do, Truong Son Hy, Duy Khuong Nguyen
Graph neural networks (GNNs) have been widely applied in multi-variate time-series forecasting (MTSF) tasks because of their capability in capturing the correlations among differen…
Fast Parallel Randomized Algorithm for Nonnegative Matrix Factorization with KL Divergence for Large Sparse Datasets
Duy Khuong Nguyen, Tu Bao Ho
Nonnegative Matrix Factorization (NMF) with Kullback-Leibler Divergence (NMF-KL) is one of the most significant NMF problems and equivalent to Probabilistic Latent Semantic Indexin…
Accelerated Parallel and Distributed Algorithm using Limited Internal Memory for Nonnegative Matrix Factorization
Duy-Khuong Nguyen, Tu-Bao Ho
Nonnegative matrix factorization (NMF) is a powerful technique for dimension reduction, extracting latent factors and learning part-based representation. For large datasets, NMF pe…
Anti-lopsided Algorithm for Large-scale Nonnegative Least Square Problems
Duy Khuong Nguyen, Tu Bao Ho
Non-negative least squares (NNLS) problem is one of the most important fundamental problems in numeric analysis. It has been widely used in scientific computation and data modeling…