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Journal Articles
- 2024
[j10]Aimei Dong, Long Wang, Jian Liu
, Guohua Lv, Guixin Zhao, Jinyong Cheng:
MFIFusion: An infrared and visible image enhanced fusion network based on multi-level feature injection. Pattern Recognit. 152: 110445 (2024)- [j9]Mengxin Cao, Guixin Zhao, Guohua Lv, Aimei Dong, Ying Guo, Xiangjun Dong:
Spectral-Spatial-Language Fusion Network for Hyperspectral, LiDAR, and Text Data Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j8]Guohua Lv, Chaoqun Sima, Yongbiao Gao, Aimei Dong, Guangxiao Ma, Jinyong Cheng:
SIGFusion: Semantic Information-Guided Infrared and Visible Image Fusion. IEEE Trans. Instrum. Meas. 73: 1-18 (2024) - 2023
- [j7]Aimei Dong, Jian Liu, Guodong Zhang, Zhonghe Wei, Yi Zhai, Guohua Lv:
Momentum contrast transformer for COVID-19 diagnosis with knowledge distillation. Pattern Recognit. 143: 109732 (2023) - 2022
- [j6]Aimei Dong, Guodong Zhang, Jian Liu, Zhonghe Wei:
Latent feature representation learning for Alzheimer's disease classification. Comput. Biol. Medicine 150: 106116 (2022) - 2020
- [j5]Zhigang Li, Aimei Dong, Jing Zhou:
Research of Low-Rank Representation and Discriminant Correlation Analysis for Alzheimer's Disease Diagnosis. Comput. Math. Methods Medicine 2020: 5294840:1-5294840:8 (2020) - 2019
- [j4]Gang Lyu, Aimei Dong:
Automatic selection of lexical features for detecting Alzheimer's disease using bag-of-words model and genetic algorithm. Int. J. Comput. Appl. Technol. 61(4): 306-311 (2019) - 2017
- [j3]Long Zhao, Qian Gao, Xiangjun Dong, Aimei Dong, Xue Dong:
K- local maximum margin feature extraction algorithm for churn prediction in telecom. Clust. Comput. 20(2): 1401-1409 (2017) - 2016
- [j2]Aimei Dong, Fu-Lai Chung, Shitong Wang:
Semi-supervised classification method through oversampling and common hidden space. Inf. Sci. 349-350: 216-228 (2016) - [j1]Aimei Dong, Korris Fu-Lai Chung, Zhaohong Deng, Shitong Wang:
Semi-Supervised SVM With Extended Hidden Features. IEEE Trans. Cybern. 46(12): 2924-2937 (2016)
Conference and Workshop Papers
- 2024
- [c16]Xiaopei Hu, Guixin Zhao, Lu Yuan, Xiangjun Dong, Aimei Dong:
Multi-scale Convolutional Attention Fuzzy Broad Network for Few-Shot Hyperspectral Image Classification. ICANN (2) 2024: 46-60 - [c15]Aimei Dong, Xuening Zhang, Guixin Zhao, Ruixin Wang, Jian Liu:
Hop-Gated Graph Attention Network for ASD Diagnosis via PC-Based Graph Regularization Sparse Representation. ICANN (8) 2024: 287-298 - [c14]Aimei Dong, Ruixin Wang, Xuening Zhang, Jian Liu:
NextSeg: Automatic COVID-19 Lung Infection Segmentation from CT Images Based on Next-ViT. IJCNN 2024: 1-8 - 2023
- [c13]Aimei Dong, Zhiyun Qi, Yi Zhai, Guohua Lv:
Multi-Source Domain Transfer Learning on Epilepsy Diagnosis. CSCWD 2023: 83-88 - [c12]Aimei Dong, Sidi Liu:
Multi-scale Field Distillation for Multi-task Semantic Segmentation. ICANN (2) 2023: 508-519 - [c11]Mengxin Cao, Guixin Zhao, Aimei Dong, Guohua Lv, Ying Guo, Xiangjun Dong:
Few-Shot Hyperspectral Image Classification Based on Cross-Domain Spectral Semantic Relation Transformer. ICIP 2023: 1375-1379 - [c10]Aimei Dong, Ruixin Wang, Guohua Lv, Guixin Zhao, Yi Zhai:
Mix-Net: Automatic Segmentation of Covid-19 ct Images Based on Parallel Design. ICIP 2023: 2145-2149 - [c9]Xiang Gao, Guohua Lv, Aimei Dong, Zhonghe Wei, Jinyong Cheng:
L2fusion: Low-Light Oriented Infrared and Visible Image Fusion. ICIP 2023: 2405-2409 - [c8]Xiaopei Hu, Guixin Zhao, Aimei Dong, Guohua Lv, Yi Zhai, Ying Guo, Xiangjun Dong:
Few-Shot Hyperspectral Image Classification with Spectral-Spatial Feature Fusion Based on Fuzzy Broad Learning System. ICIP 2023: 3160-3164 - [c7]Aimei Dong, Sidi Liu:
Research on Multi-task Semantic Segmentation Based on Attention and Feature Fusion Method. MMM (2) 2023: 362-373 - [c6]Guohua Lv, Wenkuo Song, Zhonghe Wei, Jinyong Cheng, Aimei Dong:
SIEFusion: Infrared and Visible Image Fusion via Semantic Information Enhancement. PRCV (3) 2023: 176-187 - [c5]Aimei Dong, Xuening Zhang, Guohua Lv, Guixin Zhao, Yi Zhai:
Autism Spectrum Disorder Diagnosis Using Graph Neural Network Based on Graph Pooling and Self-adjust Filter. PRCV (13) 2023: 424-435 - 2021
- [c4]Benying Li, Aimei Dong:
Multi-task learning with Attention : Constructing auxiliary tasks for learning to learn. ICTAI 2021: 145-152 - 2019
- [c3]Qian Gao, Aimei Dong:
A Contextual Reasoning Research Based on the Uncertain Context. IRC 2019: 520-525 - 2017
- [c2]Qian Gao, Aimei Dong:
A Conditional Context-Awareness Ontology Based Personalized Recommendation Approach for E-Reading. IRC 2017: 365-370 - 2011
- [c1]Aimei Dong, Ruilian Hou:
The research and application of object-oriented requirements modeling based on UML. EMEIT 2011: 4062-4065
Coauthor Index
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