Xiaohui Yuan

Xiaohui Yuan received the B.S. degree in electrical engineering from the Hefei University of Technology in 1996 and the Ph.D. degree in computer science from Tulane University in 2004. He was with the National Institute of Health between 2004 and 2006 and is currently a Professor with the University of North Texas. His research interests include computer vision, artificial intelligence, data mining, and machine learning. He was a recipient of the Ralph E. Powe Junior Faculty Enhancement Award in 2008. He serves as the Editor-in-Chief of the International Journal of Smart Sensor Technologies and Applications and on the Editorial Board of several international journals as well as the Chair of many international conferences.

Publications

Rich Text Extraction and Classification From PDF Documents Using Deep Learning Techniques
Parvathi R., U. Vignesh, Rukksana A., Xiaohui Yuan. © 2025. 20 pages.
Portable Document Format files are widely used for storing and sharing documents across different platforms and devices while preserving their original formatting. This research...
Brain Wave Behaviours and Brain Stroke Prediction Using Deep Learning Techniques
R. Parvathi, V. Pattabiraman, Xiaohui Yuan. © 2025. 42 pages.
The need for the research arises from the limitations of the traditional methods for measuring and assessing human emotions. Most conventional techniques rely on self-report...
Classification of Ovarian Cancer Subtype Using Histopathology Images
R. Parvathi, Xiaohui Yuan. © 2025. 28 pages.
Ovarian cancer is a common and reoccurring type of cancer. If detected early and treated properly, one can have a longer lifespan. We aim to provide robust alternative to the...
Stock Market Analysis and Prediction Using ARIMA, Facebook Prophet, and Stacked Long Short-Term Memory Recurrent Neural Network
Parvathi R, Xiaohui Yuan. © 2023. 19 pages.
Stock analysis involves comparing a company's current financial statement to its financial statements in previous years to give an investor a sense of whether the company is...
International Journal of Smart Sensor Technologies and Applications (IJSSTA)
Mohamed Elhoseny, Xiaohui Yuan. Est. 2020.
The International Journal of Smart Sensor Technologies and Applications (IJSSTA) identifies challenges and solutions for smart sensor technologies and applications in complex...