Meiling Wang
Orcid: 0000-0001-6569-2798Affiliations:
- Nanjing University of Aeronautics and Astronautics, Nanjing, China
According to our database1,
Meiling Wang
authored at least 26 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
SOML: Structure-Wise Ordinal Measure Learning for Hyperspectral Image Classification.
IEEE Trans. Instrum. Meas., 2024
2023
Deep Network With Irregular Convolutional Kernels and Self-Expressive Property for Classification of Hyperspectral Images.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer's Disease diagnosis.
Medical Image Anal., October, 2023
Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics.
IEEE Trans. Biomed. Eng., March, 2023
Sparse coding with morphology segmentation and multi-label fusion for hyperspectral image super-resolution.
Comput. Vis. Image Underst., January, 2023
Deep Margin Cosine Autoencoder-Based Medical Hyperspectral Image Classification for Tumor Diagnosis.
IEEE Trans. Instrum. Meas., 2023
Multimodal Self-Paced Locality-Preserving Learning for Diagnosis of Alzheimer's Disease.
IEEE Trans. Cogn. Dev. Syst., 2023
Binary feature learning with local spectral context-aware attention for classification of hyperspectral images.
Pattern Recognit., 2023
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction.
Pattern Recognit., 2023
Int. J. Autom. Comput., 2023
2022
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Temporal Information-Guided Generative Adversarial Networks for Stimuli Image Reconstruction From Human Brain Activities.
IEEE Trans. Cogn. Dev. Syst., 2022
Fusion of Hyperspectral and Multispectral Images by Convolutional Sparse Representation.
IEEE Geosci. Remote. Sens. Lett., 2022
Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis.
Bioinform., 2022
Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
2021
Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis.
IEEE Trans. Medical Imaging, 2021
Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Int. J. Autom. Comput., 2021
Deep Self-Reconstruction Sparse Canonical Correlation Analysis For Brain Imaging Genetics.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Joint sparse-collaborative representation to fuse hyperspectral and multispectral images.
Signal Process., 2020
Neurocomputing, 2020
Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease.
Bioinform., 2019