Area of research
Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, Closed captioning, Neuroinflammation, Chemistry, and Extractor.
Multi-Malonylation Enhances the Neuroprotection of Cyanidin-3-<i>O</i>-Glucoside by Promoting Gut-Derived 5-Hydroxytryptophan Production via <i>Limosilactobacillus reuteri</i> through the Gut-Brain Axis
Sialylated IgG mediates the colonization of Bifidobacterium bifidum through the “FcRn-Sialylated IgG-SiaBb2” axis, alleviating high-fructose diet-induced neuroinflammation in mice by activating the cAMP/PKA signaling pathway
Multi-feature enhancement based on sparse networks for single-stage 3D object detection
Enhanced graph neural network for session-based recommendation
Stacked Multimodal Attention Network for Context-Aware Video Captioning
Zero-Shot Sketch-Based Image Retrieval via Graph Convolution Network
Re-Caption: Saliency-Enhanced Image Captioning Through Two-Phase Learning
Integrated Ant Colony and Tabu Search approach for time dependent vehicle routing problems with simultaneous pickup and delivery