Aimei Dong

According to our database, Aimei Dong authored at least 20 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Spectral-Spatial-Language Fusion Network for Hyperspectral, LiDAR, and Text Data Classification.

Mengxin Cao, Guixin Zhao, Guohua Lv, Aimei Dong, Ying Guo, Xiangjun Dong

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Momentum contrast transformer for COVID-19 diagnosis with knowledge distillation.

Aimei Dong, Jian Liu, Guodong Zhang, Zhonghe Wei, Yi Zhai, Guohua Lv

Pattern Recognit., November, 2023

SIEFusion: Infrared and Visible Image Fusion via Semantic Information Enhancement.

Guohua Lv, Wenkuo Song, Zhonghe Wei, Jinyong Cheng, Aimei Dong

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Autism Spectrum Disorder Diagnosis Using Graph Neural Network Based on Graph Pooling and Self-adjust Filter.

Aimei Dong, Xuening Zhang, Guohua Lv, Guixin Zhao, Yi Zhai

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Research on Multi-task Semantic Segmentation Based on Attention and Feature Fusion Method.

Aimei Dong, Sidi Liu

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Few-Shot Hyperspectral Image Classification with Spectral-Spatial Feature Fusion Based on Fuzzy Broad Learning System.

Xiaopei Hu, Guixin Zhao, Aimei Dong, Guohua Lv, Yi Zhai, Ying Guo, Xiangjun Dong

Proceedings of the IEEE International Conference on Image Processing, 2023

L2fusion: Low-Light Oriented Infrared and Visible Image Fusion.

Xiang Gao, Guohua Lv, Aimei Dong, Zhonghe Wei, Jinyong Cheng

Proceedings of the IEEE International Conference on Image Processing, 2023

Mix-Net: Automatic Segmentation of Covid-19 ct Images Based on Parallel Design.

Aimei Dong, Ruixin Wang, Guohua Lv, Guixin Zhao, Yi Zhai

Proceedings of the IEEE International Conference on Image Processing, 2023

Few-Shot Hyperspectral Image Classification Based on Cross-Domain Spectral Semantic Relation Transformer.

Mengxin Cao, Guixin Zhao, Aimei Dong, Guohua Lv, Ying Guo, Xiangjun Dong

Proceedings of the IEEE International Conference on Image Processing, 2023

Multi-Source Domain Transfer Learning on Epilepsy Diagnosis.

Aimei Dong, Zhiyun Qi, Yi Zhai, Guohua Lv

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022

Latent feature representation learning for Alzheimer's disease classification.

Aimei Dong, Guodong Zhang, Jian Liu, Zhonghe Wei

Comput. Biol. Medicine, 2022

2021

Multi-task learning with Attention : Constructing auxiliary tasks for learning to learn.

Benying Li, Aimei Dong

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

Research of Low-Rank Representation and Discriminant Correlation Analysis for Alzheimer's Disease Diagnosis.

Zhigang Li, Aimei Dong, Jing Zhou

Comput. Math. Methods Medicine, 2020

2019

Automatic selection of lexical features for detecting Alzheimer's disease using bag-of-words model and genetic algorithm.

Gang Lyu, Aimei Dong

Int. J. Comput. Appl. Technol., 2019

A Contextual Reasoning Research Based on the Uncertain Context.

Qian Gao, Aimei Dong

Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

2017

K- local maximum margin feature extraction algorithm for churn prediction in telecom.

Long Zhao, Qian Gao, Xiangjun Dong, Aimei Dong, Xue Dong

Clust. Comput., 2017

A Conditional Context-Awareness Ontology Based Personalized Recommendation Approach for E-Reading.

Qian Gao, Aimei Dong

Proceedings of the First IEEE International Conference on Robotic Computing, 2017

2016

Semi-Supervised SVM With Extended Hidden Features.

Aimei Dong, Korris Fu-Lai Chung, Zhaohong Deng, Shitong Wang

IEEE Trans. Cybern., 2016

Semi-supervised classification method through oversampling and common hidden space.

Aimei Dong, Fu-Lai Chung, Shitong Wang

Inf. Sci., 2016

2011

The research and application of object-oriented requirements modeling based on UML.

Aimei Dong, Ruilian Hou

Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011