Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease. - Meiling Wang 001; Xiaoke Hao; Jiashuang Huang; Wei Shao 005; Daoqiang Zhang (Bioinform., 2019)

Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks. - Shuo Huang 001; Liang Sun 009; Muhammad Yousefnezhad; Meiling Wang 001; Daoqiang Zhang (ICONIP (5), 2020)

Using Taylor Expansion and Convolutional Sparse Representation for Image Fusion. - Changda Xing; Meiling Wang 001; Chong Dong; Chaowei Duan; Zhisheng Wang (Neurocomputing, 2020)

Joint sparse-collaborative representation to fuse hyperspectral and multispectral images. - Changda Xing; Meiling Wang 001; Chong Dong; Chaowei Duan; Zhisheng Wang (Signal Process., 2020)

A Binary Feature Representation Method for Hyperspectral Image Classification. - Changda Xing; Meiling Wang 001; Zhisheng Wang; Chaowei Duan; Yiliu Liu (IGARSS, 2021)

Group-Aware Low-Rank Representation for Hyperspectral Image Classification. - Changda Xing; Meiling Wang 001; Zhisheng Wang; Chaowei Duan; Yiliu Liu (IGARSS, 2021)

Deep Self-Reconstruction Sparse Canonical Correlation Analysis For Brain Imaging Genetics. - Meiling Wang 001; Wei Shao 005; Shuo Huang 001; Daoqiang Zhang (ISBI, 2021)

fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review. - Shuo Huang 001; Wei Shao 005; Mei-Ling Wang 001; Daoqiang Zhang (Int. J. Autom. Comput., 2021)

Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. - Meiling Wang 001; Wei Shao 005; Xiaoke Hao; Li Shen 001; Daoqiang Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis. - Meiling Wang 001; Wei Shao 005; Xiaoke Hao; Daoqiang Zhang (IEEE Trans. Medical Imaging, 2021)

Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer. - Zongxiang Pei; Yingli Zuo; Liang Sun 009; Meiling Wang 001; Daoqiang Zhang; Wei Shao 005 (CICAI (2), 2022)

Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis. - Meiling Wang 001; Wei Shao 005; Xiaoke Hao; Shuo Huang 001; Daoqiang Zhang (Bioinform., 2022)

Fusion of Hyperspectral and Multispectral Images by Convolutional Sparse Representation. - Changda Xing; Yuhua Cong; Zhisheng Wang; Meiling Wang 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Temporal Information-Guided Generative Adversarial Networks for Stimuli Image Reconstruction From Human Brain Activities. - Shuo Huang 001; Liang Sun 009; Muhammad Yousefnezhad; Meiling Wang 001; Daoqiang Zhang (IEEE Trans. Cogn. Dev. Syst., 2022)

Diagonalized Low-Rank Learning for Hyperspectral Image Classification. - Changda Xing; Meiling Wang 001; Zhisheng Wang; Chaowei Duan; Yiliu Liu (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Encoder With Kernel-Wise Taylor Series for Hyperspectral Image Classification. - Changda Xing; Jianlong Zhao; Chaowei Duan; Zhisheng Wang; Meiling Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Machine Learning for Brain Imaging Genomics Methods: A Review. - Mei-Ling Wang 001; Wei Shao 005; Xiaoke Hao; Daoqiang Zhang (Int. J. Autom. Comput., 2023)

Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction. - Liang Sun 009; Wei Shao 005; Qi Zhu 001; Meiling Wang 001; Gang Li 001; Daoqiang Zhang (Pattern Recognit., 2023)

Binary feature learning with local spectral context-aware attention for classification of hyperspectral images. - Changda Xing; Chaowei Duan; Zhisheng Wang; Meiling Wang 001 (Pattern Recognit., 2023)

Multimodal Self-Paced Locality-Preserving Learning for Diagnosis of Alzheimer's Disease. - Xiaoke Hao; Ruxue Wang; Yingchun Guo; Yunjia Xiao; Ming Yu 006; Meiling Wang 001; Weibin Chen; Daoqiang Zhang (IEEE Trans. Cogn. Dev. Syst., 2023)

Deep Margin Cosine Autoencoder-Based Medical Hyperspectral Image Classification for Tumor Diagnosis. - Meiling Wang 001; Yongchang Xu; Zhisheng Wang; Changda Xing (IEEE Trans. Instrum. Meas., 2023)

Sparse coding with morphology segmentation and multi-label fusion for hyperspectral image super-resolution. - Changda Xing; Meiling Wang 001; Yuhua Cong; Zhisheng Wang; Chaowei Duan; Yiliu Liu (Comput. Vis. Image Underst., 2023)

Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics. - Xiaoke Hao; Qihao Tan; Yingchun Guo; Yunjia Xiao; Ming Yu 006; Meiling Wang 001; Jing Qin 001; Daoqiang Zhang; Alzheimer's Disease Neuroimaging Initiative (IEEE Trans. Biomed. Eng., 2023)

Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer's Disease diagnosis. - Meiling Wang 001; Wei Shao 005; Shuo Huang 001; Daoqiang Zhang (Medical Image Anal., 2023)

Deep Network With Irregular Convolutional Kernels and Self-Expressive Property for Classification of Hyperspectral Images. - Changda Xing; Yuhua Cong; Chaowei Duan; Zhisheng Wang; Meiling Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

SOML: Structure-Wise Ordinal Measure Learning for Hyperspectral Image Classification. - Changda Xing; Meiling Wang 001; Yongchang Xu; Zhisheng Wang (IEEE Trans. Instrum. Meas., 2024)

Deep Ring-Block-Wise Network for Hyperspectral Image Classification. - Changda Xing; Jianlong Zhao; Zhisheng Wang; Meiling Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

TDAE: Tensored Deep Autoencoder for Classification of Hyperspectral Images. - Changda Xing; Meiling Wang 001; Xuesong Wang 001; Yuhu Cheng (IEEE Trans. Geosci. Remote. Sens., 2025)

Identifying Longitudinal Intermediate Phenotypes Between Genotypes and Clinical Score via Exclusive Relationship-Induced Association Analysis in Alzheimer's Disease. - Meiling Wang 001; Wei Shao 005; Shuo Huang 001; Daoqiang Zhang (IEEE Trans. Cogn. Dev. Syst., 2025)