Area of research
Atmospheric Science · Genetics
Research interest
Research interests include Computer science, Artificial intelligence, Metabolic engineering, Escherichia coli, Environmental science, and Hyperspectral imaging.
Enhancing green guava segmentation with texture consistency loss and reverse attention mechanism under complex background
<scp>T‐YOLO</scp>: a lightweight and efficient detection model for nutrient buds in complex tea‐plantation environments
Spatiotemporal smoothing aggregation enhanced multi-scale residual deep graph convolutional networks for skeleton-based gait recognition
Combining Vis-NIR and NIR hyperspectral imaging techniques with a data fusion strategy for the rapid qualitative evaluation of multiple qualities in chicken
A New Urban Waterlogging Simulation Method Based on Multi-Factor Correlation
Cropland encroachment detection via dual attention and multi-loss based building extraction in remote sensing images
Assessing the Effects of Land Cover Land Use Change on Precipitation Dynamics in Guangdong–Hong Kong–Macao Greater Bay Area from 2001 to 2019
LighterGAN: An Illumination Enhancement Method for Urban UAV Imagery
Engineering an in vivo EP-bifido pathway in Escherichia coli for high-yield acetyl-CoA generation with low CO2 emission
Image inpainting algorithm based on convolutional neural network structure and improved Deep Image Prior
Pathway optimization and key enzyme evolution of N-acetylneuraminate biosynthesis using an in vivo aptazyme-based biosensor