Aimei Dong

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 20

Top Topics

Transfer Learning

Automatic Selection

Hyperspectral Image Classification

Top Venues

Pattern Recognit.

IEEE Trans. Cybern.

Publications

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 (2024)
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 (2024)
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 (2023)
Aimei Dong, Zhiyun Qi, Yi Zhai, Guohua Lv
Multi-Source Domain Transfer Learning on Epilepsy Diagnosis. CSCWD (2023)
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)
Aimei Dong, Sidi Liu
Research on Multi-task Semantic Segmentation Based on Attention and Feature Fusion Method. MMM (2) (2023)
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)
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)
Xiang Gao, Guohua Lv, Aimei Dong, Zhonghe Wei, Jinyong Cheng
L2fusion: Low-Light Oriented Infrared and Visible Image Fusion. ICIP (2023)
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)
Guohua Lv, Wenkuo Song, Zhonghe Wei, Jinyong Cheng, Aimei Dong
SIEFusion: Infrared and Visible Image Fusion via Semantic Information Enhancement. PRCV (3) (2023)
Aimei Dong, Guodong Zhang, Jian Liu, Zhonghe Wei
Latent feature representation learning for Alzheimer's disease classification. Comput. Biol. Medicine 150 (2022)
Benying Li, Aimei Dong
Multi-task learning with Attention : Constructing auxiliary tasks for learning to learn. ICTAI (2021)
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 (2020)
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) (2019)
Qian Gao, Aimei Dong
A Contextual Reasoning Research Based on the Uncertain Context. IRC (2019)
Qian Gao, Aimei Dong
A Conditional Context-Awareness Ontology Based Personalized Recommendation Approach for E-Reading. IRC (2017)
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) (2017)
Aimei Dong, Fu-Lai Chung, Shitong Wang
Semi-supervised classification method through oversampling and common hidden space. Inf. Sci. (2016)
Aimei Dong, Korris Fu-Lai Chung, Zhaohong Deng, Shitong Wang
Semi-Supervised SVM With Extended Hidden Features. IEEE Trans. Cybern. 46 (12) (2016)
Aimei Dong, Ruilian Hou
The research and application of object-oriented requirements modeling based on UML. EMEIT (2011)