318 citations · 2.2k across the 47 of their papers we have counts for
5 papers · 1 filter
SISAL Revisited
Chujun Huang, Mingjie Shao, Wing-Kin Ma +1
Simplex identification via split augmented Lagrangian (SISAL) is a popularly-used algorithm in blind unmixing of hyperspectral images. Developed by José M. Bioucas-Dias in 2009, th…
On Hyperspectral Unmixing
Wing-Kin Ma
In this article the author reviews José Bioucas-Dias' key contributions to hyperspectral unmixing (HU), in memory of him as an influential scholar and for his many beautiful ideas…
Symbol-Level Precoding Through the Lens of Zero Forcing and Vector Perturbation
Yatao Liu, Mingjie Shao, Wing-Kin Ma +1
Symbol-level precoding (SLP) has recently emerged as a new paradigm for physical-layer transmit precoding in multiuser multi-input-multi-output (MIMO) channels. It exploits the und…
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…
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…