The research and application of object-oriented requirements modeling based on UML. - Aimei Dong; Ruilian Hou (EMEIT, 2011)

Semi-supervised classification method through oversampling and common hidden space. - Aimei Dong; Fu-Lai Chung; Shitong Wang 001 (Inf. Sci., 2016)

Semi-Supervised SVM With Extended Hidden Features. - Aimei Dong; Korris Fu-Lai Chung; Zhaohong Deng; Shitong Wang 001 (IEEE Trans. Cybern., 2016)

A Conditional Context-Awareness Ontology Based Personalized Recommendation Approach for E-Reading. - Qian Gao 003; Aimei Dong (IRC, 2017)

K- local maximum margin feature extraction algorithm for churn prediction in telecom. - Long Zhao 002; Qian Gao 003; Xiangjun Dong 001; Aimei Dong; Xue Dong (Clust. Comput., 2017)

A Contextual Reasoning Research Based on the Uncertain Context. - Qian Gao 003; Aimei Dong (IRC, 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)

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)

Multi-task learning with Attention : Constructing auxiliary tasks for learning to learn. - Benying Li; Aimei Dong (ICTAI, 2021)

Latent feature representation learning for Alzheimer's disease classification. - Aimei Dong; Guodong Zhang; Jian Liu; Zhonghe Wei (Comput. Biol. Medicine, 2022)

Multi-Source Domain Transfer Learning on Epilepsy Diagnosis. - Aimei Dong; Zhiyun Qi; Yi Zhai; Guohua Lv (CSCWD, 2023)

Multi-scale Field Distillation for Multi-task Semantic Segmentation. - Aimei Dong; Sidi Liu (ICANN (2), 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 001 (ICIP, 2023)

Mix-Net: Automatic Segmentation of Covid-19 ct Images Based on Parallel Design. - Aimei Dong; Ruixin Wang; Guohua Lv; Guixin Zhao; Yi Zhai (ICIP, 2023)

L2fusion: Low-Light Oriented Infrared and Visible Image Fusion. - Xiang Gao; Guohua Lv; Aimei Dong; Zhonghe Wei; Jinyong Cheng (ICIP, 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 001 (ICIP, 2023)

Research on Multi-task Semantic Segmentation Based on Attention and Feature Fusion Method. - Aimei Dong; Sidi Liu (MMM (2), 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 (PRCV (13), 2023)

SIEFusion: Infrared and Visible Image Fusion via Semantic Information Enhancement. - Guohua Lv; Wenkuo Song; Zhonghe Wei; Jinyong Cheng; Aimei Dong (PRCV (3), 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., 2023)

Hop-Gated Graph Attention Network for ASD Diagnosis via PC-Based Graph Regularization Sparse Representation. - Aimei Dong; Xuening Zhang; Guixin Zhao; Ruixin Wang; Jian Liu (ICANN (8), 2024)

Multi-scale Convolutional Attention Fuzzy Broad Network for Few-Shot Hyperspectral Image Classification. - Xiaopei Hu; Guixin Zhao; Lu Yuan; Xiangjun Dong 001; Aimei Dong (ICANN (2), 2024)

GLEGNet: Infrared and Visible Image Fusion via Global-Local Feature Extraction and Edge-Gradient Preservation. - Guohua Lv; Wenkuo Song; Zhonghe Wei; Aimei Dong; Jinyong Cheng; Guangxiao Ma (ICONIP (7), 2024)

NextSeg: Automatic COVID-19 Lung Infection Segmentation from CT Images Based on Next-ViT. - Aimei Dong; Ruixin Wang; Xuening Zhang; Jian Liu (IJCNN, 2024)

MFIFusion: An infrared and visible image enhanced fusion network based on multi-level feature injection. - Aimei Dong; Long Wang; Jian Liu; Guohua Lv; Guixin Zhao; Jinyong Cheng (Pattern Recognit., 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 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

SIGFusion: Semantic Information-Guided Infrared and Visible Image Fusion. - Guohua Lv; Chaoqun Sima; Yongbiao Gao; Aimei Dong; Guangxiao Ma; Jinyong Cheng (IEEE Trans. Instrum. Meas., 2024)

Co-Enhancement of Multi-Modality Image Fusion and Object Detection via Feature Adaptation. - Aimei Dong; Long Wang; Jian Liu; Jingyuan Xu; Guixin Zhao; Yi Zhai; Guohua Lv; Jinyong Cheng (IEEE Trans. Circuits Syst. Video Technol., 2024)

TDMF: Text-Guided Denoising and Interactive Medical Image Fusion. - Aimei Dong; Jingyuan Xu; Long Wang; Guohua Lv; Guixin Zhao; Jinyong Cheng (ICASSP, 2025)

SSFSL: Self-Supervised and Few-Shot Learning for Cross-Domain Hyperspectral Image Classification. - Guohua Lv; Xiang Gao; Qiang Chi; Guixin Zhao; Aimei Dong; Wei Li 032 (ICASSP, 2025)

STGFuse: Semantic Text-Guided Medical Image Fusion with Interactive Degradation Handling. - Aimei Dong; Zhen Chen; Long Wang; Yongxing Cai (ICMR, 2025)

A fusion network for multi-modality medical image registration with progressive feature alignment. - Aimei Dong; Jingyuan Xu; Long Wang (Knowl. Based Syst., 2025)

GLMR-Net: Global-to-local mutually reinforcing network for pneumonia segmentation and classification. - Aimei Dong; Jian Liu; Guohua Lv; Jinyong Cheng (Pattern Recognit., 2025)