44 citations · 82 across the 5 of their papers we have counts for
5 papers
A Digital Twin Simulator of a Pastillation Process with Applications to Automatic Control based on Computer Vision
Leonardo D. González, Joshua L. Pulsipher, Shengli Jiang +2
We present a digital-twin simulator for a pastillation process. The simulation framework produces realistic thermal image data of the process that is used to train computer vision-…
Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search
Shengli Jiang, Shiyi Qin, Reid C. Van Lehn +2
Graph Neural Networks (GNNs) have emerged as a prominent class of data-driven methods for molecular property prediction. However, a key limitation of typical GNN models is their in…
Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing
Shengli Jiang, Shiyi Qin, Joshua L. Pulsipher +1
We discuss basic concepts of convolutional neural networks (CNNs) and outline uses in manufacturing. We begin by discussing how different types of data objects commonly encountered…
Convolutional Neural Nets in Chemical Engineering: Foundations, Computations, and Applications
Shengli Jiang, Victor M. Zavala
In this paper we review the mathematical foundations of convolutional neural nets (CNNs) with the goals of: i) highlighting connections with techniques from statistics, signal proc…
Graph Neural Network Architecture Search for Molecular Property Prediction
Shengli Jiang, Prasanna Balaprakash
Predicting the properties of a molecule from its structure is a challenging task. Recently, deep learning methods have improved the state of the art for this task because of their…