Area of research
Plant Science · Cell Biology
Research interest
Research interests include Deep learning, Computer science, Artificial intelligence, Segmentation, Lidar, and Biology.
Application of Fe2O3-based composites as both cathode and anode: Increasing matching degree to achieve enhanced supercapacitor energy density
Fe2O3@Mn2O3 hierarchical core-shell structure: Optimizing energy density for flexible symmetric supercapacitor
Exploring the causal association between genetically determined circulating metabolome and hemorrhagic stroke
CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping
Leaf to panicle ratio (LPR): a new physiological trait indicative of source and sink relation in japonica rice based on deep learning
Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms
Identification and comparative expression analysis of odorant binding protein genes in the tobacco cutworm Spodoptera litura
Screening of Phytoestrogenic Effective Extracts and Dose of Cistanche deserticola
Genome-wide analysis of plant nat-siRNAs reveals insights into their distribution, biogenesis and function