3 citations · 7 across the 6 of their papers we have counts for
6 papers
An improved hybrid regularization approach for extreme learning machine
Liangjuan Zhou, Wei Miao
Extreme learning machine (ELM) is a network model that arbitrarily initializes the first hidden layer and can be computed speedily. In order to improve the classification performan…
On Uniform Ensemble Controllability of Diagonalizable Linear Ensemble Systems
Wei Miao, Gong Cheng, Jr-Shin Li
In this paper, we study uniform ensemble controllability (UEC) of linear ensemble systems defined in an infinite-dimensional space through finite-dimensional settings. Specifically…
Interpretable Design of Reservoir Computing Networks using Realization Theory
Wei Miao, Vignesh Narayanan, Jr-Shin Li
The reservoir computing networks (RCNs) have been successfully employed as a tool in learning and complex decision-making tasks. Despite their efficiency and low training cost, pra…
Ensemble Recognition in Reproducing Kernel Hilbert Spaces through Aggregated Measurements
Wei Miao, Gong Cheng, Jr-Shin Li
In this paper, we study the problem of learning dynamical properties of ensemble systems from their collective behaviors using statistical approaches in reproducing kernel Hilbert…
Disentangling Drift- and Control- Vector Fields for Interpretable Inference of Control-affine Systems
Vignesh Narayanan, Wei Miao, Jr-Shin Li
Many engineered as well as naturally occurring dynamical systems do not have an accurate mathematical model to describe their dynamic behavior. However, in many applications, it is…
A Convex-Geometric Approach to Ensemble Control Analysis and Design in a Hilbert Space
Wei Miao, Jr-Shin Li
In this paper, we tackle the long-standing challenges of ensemble control analysis and design using a convex-geometric approach in a Hilbert space setting. Specifically, we formula…