Area of research
Media Technology · Computer Vision and Pattern Recognition
Research interest
Research interests include Hyperspectral imaging, Computer science, Graph, Artificial intelligence, Pattern recognition (psychology), and Convolution (computer science).
Multi-receptive Field: An Adaptive Path Aggregation Graph Neural Framework for Hyperspectral Image Classification
Graph Sample and Aggregate-Attention Network for Hyperspectral Image Classification
Multi-feature Fusion: Graph Neural Network and CNN Combining for Hyperspectral Image Classification
Graph Neural Network via Edge Convolution for Hyperspectral Image Classification
S2GFormer: Exploring Relationship Between Transformer and Graph Convolution for Hyperspectral Image Classification
Self-Supervised Locality Preserving Low-Pass Graph Convolutional Embedding for Large-Scale Hyperspectral Image Clustering
Unifying Label Propagation and Graph Sparsification for Hyperspectral Image Classification