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ORCIDMeiling Wang 0001
Person information
- affiliation: Nanjing University of Aeronautics and Astronautics, Nanjing, China
Other persons with the same name
- Meiling Wang (aka: Mei-Ling Wang) — disambiguation page
- Meiling Wang 0002
![[0000-0002-3618-7423]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3618-7423")
(aka: Mei-Ling Wang 0002) — Beijing Institute of Technology, School of Automation, Beijing, China - Meiling Wang 0003 — Chinese Academy of Sciences, Chinese Academy of Sciences, Hefei, China
- Meiling Wang 0004 — Wuhan University, Research Institute of Foreign Languages, Wuhan, China
- Meiling Wang 0005 — Capital University of Economics and Business, Beijing, China
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2020 – today
- 2024
[j22]Changda Xing, Meiling Wang, Yongchang Xu, Zhisheng Wang:
SOML: Structure-Wise Ordinal Measure Learning for Hyperspectral Image Classification. IEEE Trans. Instrum. Meas. 73: 1-12 (2024)- [j21]Changda Xing, Jianlong Zhao, Zhisheng Wang, Meiling Wang:
Deep Ring-Block-Wise Network for Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14125-14137 (2024) - 2023
- [j20]Changda Xing, Meiling Wang, Yuhua Cong, Zhisheng Wang, Chaowei Duan, Yiliu Liu:
Sparse coding with morphology segmentation and multi-label fusion for hyperspectral image super-resolution. Comput. Vis. Image Underst. 227: 103603 (2023) - [j19]Mei-Ling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang:
Machine Learning for Brain Imaging Genomics Methods: A Review. Int. J. Autom. Comput. 20(1): 57-78 (2023) - [j18]Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang:
Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer's Disease diagnosis. Medical Image Anal. 89: 102883 (2023) - [j17]Liang Sun, Wei Shao, Qi Zhu, Meiling Wang, Gang Li, Daoqiang Zhang:
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction. Pattern Recognit. 133: 109029 (2023) - [j16]Changda Xing, Chaowei Duan, Zhisheng Wang, Meiling Wang:
Binary feature learning with local spectral context-aware attention for classification of hyperspectral images. Pattern Recognit. 134: 109123 (2023) - [j15]Xiaoke Hao, Ruxue Wang, Yingchun Guo, Yunjia Xiao, Ming Yu, Meiling Wang, Weibin Chen, Daoqiang Zhang:
Multimodal Self-Paced Locality-Preserving Learning for Diagnosis of Alzheimer's Disease. IEEE Trans. Cogn. Dev. Syst. 15(2): 832-843 (2023) - [j14]Xiaoke Hao, Qihao Tan, Yingchun Guo, Yunjia Xiao, Ming Yu, Meiling Wang, Jing Qin, Daoqiang Zhang, Alzheimer's Disease Neuroimaging Initiative:
Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics. IEEE Trans. Biomed. Eng. 70(3): 831-840 (2023) - [j13]Meiling Wang, Yongchang Xu, Zhisheng Wang, Changda Xing:
Deep Margin Cosine Autoencoder-Based Medical Hyperspectral Image Classification for Tumor Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j12]Changda Xing, Yuhua Cong, Chaowei Duan, Zhisheng Wang, Meiling Wang:
Deep Network With Irregular Convolutional Kernels and Self-Expressive Property for Classification of Hyperspectral Images. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10747-10761 (2023) - 2022
- [j11]Meiling Wang, Wei Shao, Xiaoke Hao, Shuo Huang, Daoqiang Zhang:
Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis. Bioinform. 38(8): 2323-2332 (2022) - [j10]Changda Xing, Yuhua Cong, Zhisheng Wang, Meiling Wang:
Fusion of Hyperspectral and Multispectral Images by Convolutional Sparse Representation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j9]Shuo Huang, Liang Sun, Muhammad Yousefnezhad, Meiling Wang, Daoqiang Zhang:
Temporal Information-Guided Generative Adversarial Networks for Stimuli Image Reconstruction From Human Brain Activities. IEEE Trans. Cogn. Dev. Syst. 14(3): 1104-1118 (2022) - [j8]Changda Xing, Meiling Wang, Zhisheng Wang, Chaowei Duan, Yiliu Liu:
Diagonalized Low-Rank Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j7]Changda Xing, Jianlong Zhao, Chaowei Duan, Zhisheng Wang, Meiling Wang:
Deep Encoder With Kernel-Wise Taylor Series for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [c5]Zongxiang Pei, Yingli Zuo, Liang Sun, Meiling Wang, Daoqiang Zhang, Wei Shao:
Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer. CICAI (2) 2022: 577-587 - 2021
- [j6]Shuo Huang, Wei Shao, Mei-Ling Wang, Daoqiang Zhang:
fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review. Int. J. Autom. Comput. 18(2): 170-184 (2021) - [j5]Meiling Wang, Wei Shao, Xiaoke Hao, Li Shen, Daoqiang Zhang:
Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1549-1561 (2021) - [j4]Meiling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang:
Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis. IEEE Trans. Medical Imaging 40(6): 1673-1686 (2021) - [c4]Changda Xing, Meiling Wang, Zhisheng Wang, Chaowei Duan, Yiliu Liu:
A Binary Feature Representation Method for Hyperspectral Image Classification. IGARSS 2021: 3613-3616 - [c3]Changda Xing, Meiling Wang, Zhisheng Wang, Chaowei Duan, Yiliu Liu:
Group-Aware Low-Rank Representation for Hyperspectral Image Classification. IGARSS 2021: 3625-3628 - [c2]Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang:
Deep Self-Reconstruction Sparse Canonical Correlation Analysis For Brain Imaging Genetics. ISBI 2021: 1790-1793 - 2020
- [j3]Changda Xing, Meiling Wang, Chong Dong, Chaowei Duan, Zhisheng Wang:
Using Taylor Expansion and Convolutional Sparse Representation for Image Fusion. Neurocomputing 402: 437-455 (2020) - [j2]Changda Xing, Meiling Wang, Chong Dong, Chaowei Duan, Zhisheng Wang:
Joint sparse-collaborative representation to fuse hyperspectral and multispectral images. Signal Process. 173: 107585 (2020) - [c1]Shuo Huang, Liang Sun, Muhammad Yousefnezhad, Meiling Wang, Daoqiang Zhang:
Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks. ICONIP (5) 2020: 156-163
2010 – 2019
- 2019
- [j1]Meiling Wang, Xiaoke Hao, Jiashuang Huang, Wei Shao, Daoqiang Zhang:
Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease. Bioinform. 35(11): 1948-1957 (2019)
Coauthor Index
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