NLA-GNN: Non-local information aggregated graph neural network for heterogeneous graph embedding.
Pattern Recognit., 2025
Potential Knowledge Extraction Network for Class-Incremental Learning.
Neurocomputing, 2025
FastAL: Fast Evaluation Module for Efficient Dynamic Deep Active Learning Using Broad Learning System.
IEEE Trans. Circuits Syst. Video Technol., February, 2024
A Trustworthy Counterfactual Explanation Method With Latent Space Smoothing.
IEEE Trans. Image Process., 2024
DDFL: Dual-Domain Feature Learning for nighttime semantic segmentation.
Displays, 2024
Master-CAM: Multi-scale fusion guided by Master map for high-quality class activation maps.
Displays, January, 2023
When Source-Free Domain Adaptation Meets Label Propagation.
CoRR, 2023
Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
AHU-MultiNet: Adaptive loss balancing based on homoscedastic uncertainty in multi-task medical image segmentation network.
Comput. Biol. Medicine, 2022
PassAugment: Pass Nodes Importance in Graph Data Augmentation for Graph Classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Adversarial Discriminative Feature Separation for Generalization in Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022
Feature Pyramid Vision Transformer for MedMNIST Classification Decathlon.
Proceedings of the International Joint Conference on Neural Networks, 2022
Mix-up Consistent Cross Representations for Data-Efficient Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022
Modeling nodule growth via spatial transformation for follow-up prediction and diagnosis.
Proceedings of the International Joint Conference on Neural Networks, 2021
Sample Efficient Lung Segmentation Using Group Structured Conditional Variational Data Imputation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Shape-aware Multi-task Learning for Semi-supervised 3D Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
DCFG: Discovering Directional CounterFactual Generation for Chest X-rays.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
LMDAPNet: A Novel Manifold-Based Deep Learning Network.
IEEE Access, 2020
A Dynamic Group Equivariant Convolutional Networks for Medical Image Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Stacking-based deep neural network for Facial Expression Recognition.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019