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.
Xiangfang Li
Associate Professor
ECE, CREDIT & CCSB
Email
xili@pvamu.edu
Recent Papers
Semi-supervised Single-Shot Object Detection for Table Detection in Scanned Documents
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
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
Review of stochastic hybrid systems with applications in biological systems modeling and analysis