[2]Shiyi Qin,
Shengli Jiang*,
Jianping Li,
Prasanna Balaprakash,
Reid C Van Lehn,
Victor M Zavala.
Capturing Molecular Interactions in Graph Neural Networks: A Case Study in Multi-Component Phase Equilibrium.
Digital Discovery (2022).
[3]Nanqi Bao,
Shengli Jiang*,
Alexander D Smith,
James J Schauer,
Manos Mavrikakis,
Reid C Van Lehn,
Victor M Zavala,
Nicholas L Abbott.
Sensing Gas Mixtures by Analyzing the Spatiotemporal Optical Responses of Liquid Crystals Using 3D Convolutional Neural Networks.
ACS sensors 7.9 (2022): 2545-2555.
[5]Stas Zinchik,
Shengli Jiang*,
Søren Friis,
Fei Long,
Lasse Høgstedt,
Victor M Zavala,
Ezra Bar-Ziv.
Using Accurate Characterization of Mixed Plastic Waste Using Machine Learning and Fast Infrared Spectroscopy.
ACS Sustainable Chemistry & Engineering 9.42 (2021): 14143-14151.
[6]Shengli Jiang*,
Victor M Zavala.
Convolutional Neural Nets In Chemical Engineering: Foundations, Computations, And Applications.
AIChE Journal 67.9 (2021): e17282.
[7]Shengli Jiang*,
JungHyun Noh,
Chulsoon Park,
Alexander D Smith,
Nicholas L Abbott,
Victor M Zavala.
Using Machine Learning and Liquid Crystal Droplets to Identify and Quantify Endotoxins From Different Bacterial Species.
Analyst 146.4 (2021): 1224-1233.
[8]Alex K Chew,
Shengli Jiang*,
Weiqi Zhang,
Victor M Zavala,
Reid C Van Lehn.
Fast Predictions of Liquid-Phase Acid-Catalyzed Reaction Rates Using Molecular Dynamics Simulations and Convolutional Neural Networks.
Chemical science 11.46 (2020): 12464-12476.
[10]Fei Ji,
Yang Shi,
Mingqian Li,
Shengli Jiang*,
Gen Chen,
Fang Liu,
Zheng Chen.
Scalable Synthesis of Uniform Nanosized Microporous Carbon Particles From Rigid Polymers for Rapid Ion and Molecule Adsorption.
ACS applied materials & interfaces 10.30 (2018): 25429-25437.
[1]Shengli Jiang*,
Prasanna Balaprakash.
Graph Neural Network Architecture Search for Molecular Property Prediction.
2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020.
[1]Shengli Jiang*,
Shiyi Qin,
Joshua L Pulsipher,
Victor M Zavala.
Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing.
Artificial Intelligence in Manufacturing: Concepts and Methods, Elsevier (2022).
[1]Shengli Jiang*,
Zhenyu Wang,
Ivan Castillo.
Extreme Electricity Price Forecasting Using Autoencoders and Long Short-Term Memory.
(2022).
[2]Shengli Jiang*,
Nanqi Bao,
Alexander D Smith,
James J Schauer,
Manos Mavrikakis,
Reid C Van Lehn,
Nicholas L Abbott,
Victor M Zavala.
Scalable Extraction of Information from Spatio-Temporal Patterns of Chemoresponsive Liquid Crystals Using Topological Descriptors.
(2022).
[3]Shengli Jiang*,
Katie Carey,
Loren Denlinger,
Nizar Jarjour,
Mark Schiebler,
Rolan Sorkness,
Andrew Hahn,
Sean B Fain,
Victor M Zavala.
Hybrid Deep Learning Model For Asthma Exacerbation Prediction Using CT Scans And Clinical Data.
(2022).
In Preparation
[1]Shengli Jiang*,
Shiyi Qin,
Prasanna Balaprakash,
Reid C Van Lehn,
Victor M Zavala.
Uncertainty Quantification and Neural Architecture Search Using Graph Neural Networks for Molecular Property Prediction. (2022).
[2]Shengli Jiang*,
Joshua L Pulsipher,
Tyler A Soderstrom,
Reid C Van Lehn,
Victor M Zavala.
Spatial-Temporal Control of a Pastillation Process using Convolutional Neural Network Sensors. (2022).
[3]Shengli Jiang*,
Alexander D Smith,
James J Schauer,
Benjamin de Foy,
Victor M Zavala.
Air Pollutant Concentration Analysis Using Preconditioned Dynamic Mode Decomposition. (2022).
[4]Shengli Jiang*,
Atharva Kelkar,
Reid Van Lehn,
Victor M Zavala.
Using Interfacial Hydrogen Bond Graphs to Predict Surface Hydrophobicity. (2022).
[5]Shengli Jiang*,
Victor M Zavala.
Hyperspectral Imaging Analysis Using Topological Descriptors.
(2022).