Xiangfang Li

Associate Professor



Xiangfang (Lindsey) Li is an Assistant Professor in the Department of Electrical and Computer Engineering at Prairie View A&M University. Before the current position, she was a TEES Associate Research Scientist at Texas A&M University in College Station, TX, and actively participated in the Bioinformatics Training Program sponsored by NIH. She received her M.S. and Ph.D. in Computer Engineering from Rutgers University in 2003 and 2007, respectively. Her research interests are in bioinformatics, computational and systems biology, systems pharmacology, and deep learning in biomedical applications. She is awarded “2017 Outstanding Researcher of the Year” by Roy G. Perry College of Engineering of PVAMU.

Recent Papers

Calibrated bagging deep learning for image semantic segmentation: A case study on COVID-19 chest X-ray image

Semi-supervised Deep Learning for Cell Type Identification from Single-Cell Transcriptomic Data

Semi-supervised Learning for COVID-19 Image Classification via ResNet

Effective covid-19 screening using chest radiography images via deep learning

Recurrent Neural Network Based Feature Selection for High Dimensional and Low Sample Size Micro-array Data

Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN

A multitask bi-directional RNN model for named entity recognition on electronic medical records

Closed loop control of blood glucose level with neural network predictor for diabetic patients

Sequential Therapeutic Response Modeling for Tumor Treatment Using Computational Hybrid Control Systems Approach

Review of stochastic hybrid systems with applications in biological systems modeling and analysis

Time-Based Switching Control of Genetic Regulatory Networks: Toward Sequential Drug Intake for Cancer Therapy