Meiling Wang

Orcid: 0000-0001-6569-2798

Affiliations:
  • Nanjing University of Aeronautics and Astronautics, Nanjing, China


According to our database1, Meiling Wang authored at least 35 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Identification of Genetic Risk Factors Based on Disease Progression Derived From Modeling Longitudinal Phenotype Latent Pattern Representation.
IEEE Trans. Medical Imaging, April, 2026

Hierarchical Gradient Preserved Network for High Resolution Hyperspectral Fusion Imaging.
IEEE Signal Process. Lett., 2026

Context-enriched contrastive auto-encoder with topology learning for medical hyperspectral image classification to diagnose tumors.
Medical Image Anal., 2026

TCNet: Topological Consistency Network for Hyperspectral and Multispectral Image Fusion.
IEEE Geosci. Remote. Sens. Lett., 2026

2025
Discovering Differential Imaging Genetic Modules via Multimodal Fusion-Based Hypergraph Transductive Learning in Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, November, 2025

Identifying Longitudinal Intermediate Phenotypes Between Genotypes and Clinical Score via Exclusive Relationship-Induced Association Analysis in Alzheimer's Disease.
IEEE Trans. Cogn. Dev. Syst., April, 2025

TDAE: Tensored Deep Autoencoder for Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2025

Deep Ring-Wise Block Network for Joint Association Analysis and Alzheimer's Disease Diagnosis With Interpretability.
IEEE Trans. Comput. Biol. Bioinform., 2025

2024
Deep Ring-Block-Wise Network for Hyperspectral Image Classification.
IEEE Trans. Neural Networks Learn. Syst., October, 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

Machine Learning for Brain Imaging Genomics Methods: A Review.
Int. J. Autom. Comput., 2023

2022
Deep Encoder With Kernel-Wise Taylor Series for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Diagonalized Low-Rank Learning for Hyperspectral Image Classification.
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

fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review.
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

Group-Aware Low-Rank Representation for Hyperspectral Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Binary Feature Representation Method for Hyperspectral Image Classification.
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

Using Taylor Expansion and Convolutional Sparse Representation for Image Fusion.
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


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