FAAGC: Feature Augmentation on Adaptive Geodesic Curve Based on the shape space theory.

NFI-SGAT: Node feature initialization-based streaming graph learning model with graph attention network for critical node identification in temporal networks.

MPSTAN: Metapopulation-Based Spatio-Temporal Attention Network for Epidemic Forecasting.

A pseudo-labeling based weakly supervised segmentation method for few-shot texture images.

Backbone-based Dynamic Spatio-Temporal Graph Neural Network for epidemic forecasting.

Deep Learning-Driven Microstructure Characterization and Vickers Hardness Prediction of Mg-Gd Alloys.

Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation.

FAGStyle: Feature Augmentation on Geodesic Surface for Zero-shot Text-guided Diffusion Image Style Transfer.

Revealing the structure-property relationships of copper alloys with FAGC.

Few-shot Image Generation via Information Transfer from the Built Geodesic Surface.

Integrated Extensive Detection, Contact Tracing and Dynamical Social Distancing Interventions to Prevent Future Epidemic Waves.

A Two-Phase Feature Selection Method for Identifying Influential Spreaders of Disease Epidemics in Complex Networks.

Layer-fusion for online mutual knowledge distillation.

FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space.

Backbone-based Dynamic Graph Spatio-Temporal Network for Epidemic Forecasting.

Impacts of detection and contact tracing on the epidemic spread in time-varying networks.

A novel transfer learning for recognition of overlapping nano object.

Co-evolution dynamics of epidemic and information under dynamical multi-source information and behavioral responses.

CA-STD: Scene Text Detection in Arbitrary Shape Based on Conditional Attention.

Facial expression recognition in facial occlusion scenarios: A path selection multi-network.

A classification method for EEG motor imagery signals based on parallel convolutional neural network.

Boundary Loss-Based 2.5D Fully Convolutional Neural Networks Approach for Segmentation: A Case Study of the Liver and Tumor on Computed Tomography.

A Path-Based Distribution Measure for Network Comparison.

Segmenting images with complex textures by using hybrid algorithm.

Automatic Recognition of DNA Pliers in Atomic Force Microscopy Images.

Recognizing objects with multiple configurations.

Recognize objects with three kinds of information in landmarks.

Recognition of multiple configurations of objects with limited data.