Meiyan Liang
Orcid: 0009-0003-2938-3295
According to our database1,
Meiyan Liang
authored at least 15 papers
between 2020 and 2025.
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Bibliography
2025
NSB-H<sup>2</sup>GAN: "Negative Sample"-Boosted Hierarchical Heterogeneous Graph Attention Network for Interpretable Classification of Whole-Slide Images.
IEEE Trans. Image Process., 2025
IEEE Trans Autom. Sci. Eng., 2025
DC-MSSFF Net: Dule-channel multi-scale spatial-spectral feature fusion network for cholangiocarcinoma pathology high-resolution hyperspectral image segmentation.
Comput. Methods Programs Biomed., 2025
Dual-track collaboration: Joint processing of heterogeneous positive and negative graph convolutional network for whole-slide image analysis.
Comput. Methods Programs Biomed., 2025
2024
CAF-AHGCN: context-aware attention fusion adaptive hypergraph convolutional network for human-interpretable prediction of gigapixel whole-slide image.
Vis. Comput., December, 2024
MFH-Net: A Hybrid CNN-Transformer Network Based Multi-Scale Fusion for Medical Image Segmentation.
Int. J. Imaging Syst. Technol., November, 2024
UAV-Assisted Real-Time Video Transmission for Vehicles: A Soft Actor-Critic DRL Approach.
IEEE Internet Things J., April, 2024
Securing Fast and High-Precision Localization for Shallow Underground Explosive Source: A Curiosity-Driven Deep Reinforcement Learning Approach.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Robotics Auton. Syst., 2024
HSG-MGAF Net: Heterogeneous subgraph-guided multiscale graph attention fusion network for interpretable prediction of whole-slide image.
Comput. Methods Programs Biomed., 2024
Natural Scene Text Detection With Multiscale Feature Augmentation and Attention Mechanisms.
IEEE Access, 2024
2023
Interpretable Inference and Classification of Tissue Types in Histological Colorectal Cancer Slides Based on Ensembles Adaptive Boosting Prototype Tree.
IEEE J. Biomed. Health Informatics, December, 2023
Multi-scale self-attention generative adversarial network for pathology image restoration.
Vis. Comput., September, 2023
Interpretable classification of pathology whole-slide images using attention based context-aware graph convolutional neural network.
Comput. Methods Programs Biomed., February, 2023
2020
Identification of Colon Cancer Using Multi-Scale Feature Fusion Convolutional Neural Network Based on Shearlet Transform.
IEEE Access, 2020