Xinglong Ju

Profile Picture of Xinglong Ju
Title
Assistant Professor of Business Analytics
Department
Department of Marketing, Entrepreneurship, Sales, and Analytics
Institution
Southern Utah University

Education

  • Ph.D., Industrial Engineering, The University of Texas at Arlington

Research Interests

Graph Neural Networks   Global Optimization   Non Convex  

  View all research interests

Biography

Dr. Xinglong Ju is an Assistant Professor of Business Analytics at Southern Utah University. He received his Ph.D. in Industrial Engineering from the University of Texas at Arlington, where he was a Ph.D. student researcher at the Center for Stochastic Modeling, Optimization, and Statistics. He earned his M.S. degree in Computer Science and Technology and his B.S. degree in Software Engineering, both from the China University of Petroleum. Before joining the Department of Marketing, Entrepreneurship, Sales, and Analytics at Southern Utah University, Dr. Ju was a lecturer in the Management Information Systems Division at the University of Oklahoma. Prior to that, he conducted research at Cornell University, focusing on machine learning for natural hazards. He also worked as a researcher in the Medical Artificial Intelligence and Automation Laboratory at the University of Texas Southwestern Medical Center. Dr. Ju's research has been published in journals such as Information Sciences, Expert Systems with Applications, Applied Energy, Energy Conversion and Management, and the IEEE Open Journal of Engineering in Medicine and Biology. He currently serves as an Associate Editor for the journal Machine Learning with Applications.

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List of Publications (14)
In 2023
14

A machine learning approach for predicting hurricane evacuee destination location using smartphone location data. PK Anyidoho, X Ju, RA Davidson, LK Nozick Computational Urban Science 3 (1), 30, 2023.

Found on Publication Page
13

Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality. G Wan, M Jiao, X Ju, Y Zhang, H Schweitzer, F Liu Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 12491 ..., 2023.

Found on Publication Page
12

Prediction of cannabis addictive patients with graph neural networks. S Wen, S Yang, X Ju, T Liao, F Liu International Conference on Brain Informatics, 297-307, 2023.

Found on Publication Page
In 2022
11

Wind farm layout optimization using adaptive evolutionary algorithm with Monte Carlo Tree Search reinforcement learning. F Bai, X Ju, S Wang, W Zhou, F Liu Energy Conversion and Management, 115047, 2022.

Found on Publication Page
10

Global optimization on non-convex two-way interaction truncated linear multivariate adaptive regression splines using mixed integer quadratic programming. X Ju, JM Rosenberger, VCP Chen, F Liu Information Sciences 597, 38-52, 2022.

Found on Publication Page
9

Brain Source Reconstruction Solution Quality Assessment with Spatial Graph Frequency Features. M Jiao, F Liu, O Asan, R Nilchiani, X Ju, J Xiang International Conference on Brain Informatics, 175-183, 2022.

Found on Publication Page
In 2021
8

Fast knot optimization for multivariate adaptive regression splines using hill climbing methods. X Ju, VCP Chen, JM Rosenberger, F Liu Expert Systems with Applications 171, 114565, 2021.

Found on Publication Page
7

Prediction for the Risk of Multiple Chronic Conditions Among Working Population in the United States With Machine Learning Models. J Yang, X Ju, F Liu, O Asan, TS Church, JO Smith IEEE Open Journal of Engineering in Medicine and Biology 2, 291-298, 2021.

Found on Publication Page
In 2020
6

Wind farm macro-siting optimization with insightful bi-criteria identification and relocation mechanism in genetic algorithm. F Liu, X Ju, N Wang, L Wang, WJ Lee Energy Conversion and Management 217, 112964, 2020.

Found on Publication Page
5

Optimization Of Wind Farm Layout. X Ju, J Leung .

Found on Publication Page
In 2019
4

Wind farm layout optimization using self-informed genetic algorithm with information guided exploitation. X Ju, F Liu Applied Energy 248, 429-445, 2019.

Found on Publication Page
3

Wind farm layout optimization based on support vector regression guided genetic algorithm with consideration of participation among landowners. X Ju, F Liu, L Wang, WJ Lee Energy Conversion and Management 196, 1267-1281, 2019.

Found on Publication Page
2

Knot Optimization for Multivariate Adaptive Regression Splines. X Ju, VCP Chen, JM Rosenberger, F Liu IISE Annual Conference. Proceedings, 118-123, 2019.

Found on Publication Page
1

A MARS Python version using truncated linear function. X Ju, VCP Chen https://doi.org/10.5281/zenodo.3568481, 2019.

Found on Publication Page
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