activity
20172021
most citedHyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation

35 citations · 88 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SP2021★ 11 cited

Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach

Tri Nguyen, Xiao Fu, Ruiyuan Wu

Nonnegative matrix factorization (NMF) often relies on the separability condition for tractable algorithm design. Separability-based NMF is mainly handled by two types of approache…

eess.SP2021★ 14 cited

Probabilistic Simplex Component Analysis

Ruiyuan Wu, Wing-Kin Ma, Yuening Li +2

This study presents PRISM, a probabilistic simplex component analysis approach to identifying the vertices of a data-circumscribing simplex from data. The problem has a rich variet…

cs.DC2021★ 6 cited

Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models

Ruiyuan Wu, Anna Scaglione, Hoi-To Wai +3

In federated learning, models are learned from users' data that are held private in their edge devices, by aggregating them in the service provider's "cloud" to obtain a global mod…

eess.SP2019★ 15 cited

Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-Resolution

Ruiyuan Wu, Hoi-To Wai, Wing-Kin Ma

This paper develops a first-order optimization method for coupled structured matrix factorization (CoSMF) problems that arise in the context of hyperspectral super-resolution (HSR)…

eess.SP2019

Is There Any Recovery Guarantee with Coupled Structured Matrix Factorization for Hyperspectral Super-Resolution?

Huikang Liu, Ruiyuan Wu, Wing-Kin Ma

Coupled structured matrix factorization (CoSMF) for hyperspectral super-resolution (HSR) has recently drawn significant interest in hyperspectral imaging for remote sensing. Presen…

eess.IV2019★ 35 cited

Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation

Ruiyuan Wu, Wing-Kin Ma, Xiao Fu +1

Hyperspectral super-resolution (HSR) is a problem that aims to estimate an image of high spectral and spatial resolutions from a pair of co-registered multispectral (MS) and hypers…

stat.ML2017★ 7 cited

Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix Factorization Framework via Facet Enumeration and Convex Optimization

Chia-Hsiang Lin, Ruiyuan Wu, Wing-Kin Ma +2

Consider a structured matrix factorization model where one factor is restricted to have its columns lying in the unit simplex. This simplex-structured matrix factorization (SSMF) m…