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09/08/2023
Unleashing the Power of Graph Learning through LLM-based Autonomous Agents
Graph structured data are widely existed and applied in the real-world a...
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02/17/2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification
In recent years, Graph Neural Networks (GNNs) have been popular in the g...
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11/20/2022
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach
In recent years, Graph Neural Networks (GNNs) have been popular in graph...
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07/29/2022
Deep Learning-based Occluded Person Re-identification: A Survey
Occluded person re-identification (Re-ID) aims at addressing the occlusi...
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07/04/2022
A Robust Ensemble Model for Patasitic Egg Detection and Classification
Intestinal parasitic infections, as a leading causes of morbidity worldw...
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12/29/2021
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective
In recent years, Graph Neural Networks (GNNs) have shown superior perfor...
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12/27/2021
Learn Layer-wise Connections in Graph Neural Networks
In recent years, Graph Neural Networks (GNNs) have shown superior perfor...
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10/26/2021
Learning Rich Features for Gait Recognition by Integrating Skeletons and Silhouettes
Gait recognition captures gait patterns from the walking sequence of an ...
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08/24/2021
Pooling Architecture Search for Graph Classification
Graph classification is an important problem with applications across ma...
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07/21/2021
TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation
Deep learning models are notoriously data-hungry. Thus, there is an urgi...
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07/21/2021
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
Liver cancer is one of the most common cancers worldwide. Due to inconsp...
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06/21/2021
Confidence-Guided Radiology Report Generation
Medical imaging plays a pivotal role in diagnosis and treatment in clini...
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10/19/2020
Double-Uncertainty Weighted Method for Semi-supervised Learning
Though deep learning has achieved advanced performance recently, it rema...
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10/19/2020
Modality-Pairing Learning for Brain Tumor Segmentation
Automatic brain tumor segmentation from multi-modality Magnetic Resonanc...
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06/23/2020
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation
Coronavirus disease 2019 (COVID-19) is a highly contagious virus spreadi...
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04/27/2020
Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation
Accurate segmentation of lung and infection in COVID-19 CT scans plays a...
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11/01/2019
Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database
Liver tumor segmentation plays an important role in hepatocellular carci...
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05/15/2018