Area of research
Computer Vision and Pattern Recognition · Media Technology
Research interest
Research interests include Advanced Image and Video Retrieval Techniques, Remote-Sensing Image Classification, Advanced Neural Network Applications, and Infrared Target Detection Methodologies.
REST: Holistic Learning for End-to-End Semantic Segmentation of Whole-Scene Remote Sensing Imagery.
Bias-aware learning for unbiased scene graph generation in remote sensing imagery
Predicting risks of hemorrhagic fever with renal syndrome using a Bayesian spatiotemporal hierarchical model
A semantic-enhanced multi-modal remote sensing foundation model for Earth observation
MEET: A Million-Scale Dataset for Fine-Grained Geospatial Scene Classification With Zoom-Free Remote Sensing Imagery
Learning to reason over multi-granularity knowledge graph for zero-shot urban land-use mapping
PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection
Unleashing the potential of remote sensing foundation models via bridging data and computility islands
Liraglutide in Acute Minor Ischemic Stroke or High-Risk Transient Ischemic Attack With Type 2 Diabetes
MMKDGAT: Multi-modal Knowledge graph-aware Deep Graph Attention Network for remote sensing image recommendation
A disparity‐aware Siamese network for building change detection in bi‐temporal remote sensing images
Learning to Holistically Detect Bridges From Large-Size VHR Remote Sensing Imagery.
Progressive Learning With Cross-Window Consistency for Semi-Supervised Semantic Segmentation.
STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery.
Parameter-Efficient Complementary Expert Learning for Long-Tailed Visual Recognition
To see further: Knowledge graph-aware deep graph convolutional network for recommender systems
Cost-efficient information extraction from massive remote sensing data: When weakly supervised deep learning meets remote sensing big data
Multi-source knowledge graph reasoning for ocean oil spill detection from satellite SAR images
Combining deep learning and ontology reasoning for remote sensing image semantic segmentation
KLGCN: Knowledge graph-aware Light Graph Convolutional Network for recommender systems
DNAS: Decoupling Neural Architecture Search for High-Resolution Remote Sensing Image Semantic Segmentation
Dark Spot Detection from SAR Images Based on Superpixel Deeper Graph Convolutional Network
MSResNet: Multiscale Residual Network via Self-Supervised Learning for Water-Body Detection in Remote Sensing Imagery
HOTAIR Up-Regulation Activates NF-κB to Induce Immunoescape in Gliomas
Subtask Attention Based Object Detection in Remote Sensing Images
Error-Tolerant Deep Learning for Remote Sensing Image Scene Classification.
Endovascular Thrombectomy with or without Intravenous Alteplase in Acute Stroke
Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning
Multi-Label Remote Sensing Image Scene Classification by Combining a Convolutional Neural Network and a Graph Neural Network
Combining Deep Semantic Segmentation Network and Graph Convolutional Neural Network for Semantic Segmentation of Remote Sensing Imagery