Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, Event (particle physics), Feature (linguistics), Identification (biology), and Transformer.
Enhancing Zero-Shot Stance Detection with Contrastive and Prompt Learning
SOIRP: Subject-Object Interaction and Reasoning Path based joint relational triple extraction by table filling
A Topic Modeling Based on Prompt Learning
Semantic aware enhanced event causality identification
Enhanced Transformer for Remote-Sensing Image Captioning with Positional-Channel Semantic Fusion
FSN: Joint Entity and Relation Extraction Based on Filter Separator Network
DFEN: Dual Feature Enhancement Network for Remote Sensing Image Caption
Event causality identification via structure optimization and reinforcement learning
GRATDet: Smart Contract Vulnerability Detector Based on Graph Representation and Transformer
Chinese Document-Level Emergency Event Extraction Dataset and Corresponding Methods
Chinese Document-Level Emergency Event Extraction Dataset and Corresponding Methods
Fe-Yolov5: Feature Enhancement Network Based on Yolov5 for Small Object Detection
Multiscale Global-Aware Channel Attention for Person Re-Identification