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Vision Transformer based UNet with Multi-Head Attention for Medical Image Segmentation Conference paper
Yu, Huina, Gao, Lingyan, Yu, Huitao, Zhang, Anguo. Vision Transformer based UNet with Multi-Head Attention for Medical Image Segmentation[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 1737-1741.
Authors:  Yu, Huina;  Gao, Lingyan;  Yu, Huitao;  Zhang, Anguo
Favorite | TC[Scopus]:0 | Submit date：2024/09/03
Deep Learning  Medical Image Segmentation  Self-attention  Unet  Vision Transformer  
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis Journal article
Zuo, Qiankun, Li, Ruiheng, Shi, Binghua, Hong, Jin, Zhu, Yanfei, Chen, Xuhang, Wu, Yixian, Guo, Jia. U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis[J]. Frontiers in Computational Neuroscience, 2024, 18, 1387004.
Authors:  Zuo, Qiankun;  Li, Ruiheng;  Shi, Binghua;  Hong, Jin;  Zhu, Yanfei; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:2.1/2.9 | Submit date：2024/05/16
Brain Neurological Disease  Central Connectivity Perception  Hierarchical Topological Transformer  Multi-head Attention  Multi-level Temporal-correlated Attention  Time-series Restoration  
Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph-and Attention-Based Approach Journal article
Guo, Xianwei, Huang, Fangwan, Yang, Dingqi, Tu, Chunyu, Yu, Zhiyong, Guo, Wenzhong. Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph-and Attention-Based Approach[J]. IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 32(2), 1631-1644.
Authors:  Guo, Xianwei;  Huang, Fangwan;  Yang, Dingqi;  Tu, Chunyu;  Yu, Zhiyong; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:3.0/3.6 | Submit date：2024/02/22
Mobile Crowdsensing  Spatiotemporal Fracture Data Inference  Graph Attention Networks  Transformer  
GSB: Group superposition binarization for vision transformer with limited training samples Journal article
Gao, Tian, Xu, Cheng Zhong, Zhang, Le, Kong, Hui. GSB: Group superposition binarization for vision transformer with limited training samples[J]. Neural Networks, 2024, 172, 106133.
Authors:  Gao, Tian;  Xu, Cheng Zhong;  Zhang, Le;  Kong, Hui
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:6.0/7.9 | Submit date：2024/05/02
Group Superposition Binarization  Insufficient Training Data  Self-attention  Vision Transformer (Vit)  
A Citation Count Prediction Model Based on Bi-LSTM and Transformer Conference paper
Li, Lu, Wu, Gengshen, Ying, Zuobin. A Citation Count Prediction Model Based on Bi-LSTM and Transformer[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 21-27.
Authors:  Li, Lu;  Wu, Gengshen;  Ying, Zuobin
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Bi-lstm  Citation Count Prediction  Cross-attention  Deep Learning  Transformer  
Skeleton MixFormer: Multivariate Topology Representation for Skeleton-based Action Recognition Conference paper
Xin, Wentian, Miao, Qiguang, Liu, Yi, Liu, Ruyi, Pun, Chi Man, Shi, Cheng. Skeleton MixFormer: Multivariate Topology Representation for Skeleton-based Action Recognition[C]. Abdulmotaleb El Saddik, Tao Mei, Rita Cucchiara, Program Chairs:Marco Bertini, Diana Patricia Tobon Vallejo, Pradeep K. Atrey, M. Shamim Hossain, New York NY, United States:Association for Computing Machinery, 2023, 2211-2220.
Authors:  Xin, Wentian;  Miao, Qiguang;  Liu, Yi;  Liu, Ruyi;  Pun, Chi Man; et al.
Favorite | TC[WOS]:1 TC[Scopus]:14 | Submit date：2024/01/10
Attention  Skeleton Action Recognition  Topology Representation  Transformer  Video Understanding  
Classification of attention deficit/hyperactivity disorder based on EEG signals using a EEG-Transformer model∗ Journal article
He, Yuchao, Wang, Xin, Yang, Zijian, Xue, Lingbin, Chen, Yuming, Ji, Junyu, Wan, Feng, Mukhopadhyay, Subhas Chandra, Men, Lina, Tong, Michael Chi Fai, Li, Guanglin, Chen, Shixiong. Classification of attention deficit/hyperactivity disorder based on EEG signals using a EEG-Transformer model∗[J]. Journal of neural engineering, 2023, 20(5), 056013.
Authors:  He, Yuchao;  Wang, Xin;  Yang, Zijian;  Xue, Lingbin;  Chen, Yuming; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:3.7/5.0 | Submit date：2023/10/10
Attention Deficit/hyperactivity Disorder (Adhd)  Attention Mechanism  Electroencephalogram (Eeg)  Transformer  
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection From Point Clouds Journal article
Yin,Junbo, Shen,Jianbing, Gao,Xin, Crandall,David J., Yang,Ruigang. Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection From Point Clouds[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(8), 9822-9835.
Authors:  Yin,Junbo;  Shen,Jianbing;  Gao,Xin;  Crandall,David J.;  Yang,Ruigang
Favorite | TC[WOS]:48 TC[Scopus]:41  IF:20.8/22.2 | Submit date：2023/08/03
3d Video Object Detection  Autonomous Driving  Graph Neural Network  Point Cloud  Transformer Attention  
IDA-Net: Inheritable Deformable Attention Network of structural MRI for Alzheimer's Disease Diagnosis Journal article
Zhao,Qin, Huang,Guoheng, Xu,Pingping, Chen,Ziyang, Li,Wenyuan, Yuan,Xiaochen, Zhong,Guo, Pun,Chi Man, Huang,Zhixin. IDA-Net: Inheritable Deformable Attention Network of structural MRI for Alzheimer's Disease Diagnosis[J]. Biomedical Signal Processing and Control, 2023, 84, 104787.
Authors:  Zhao,Qin;  Huang,Guoheng;  Xu,Pingping;  Chen,Ziyang;  Li,Wenyuan; et al.
Favorite | TC[WOS]:10 TC[Scopus]:11  IF:4.9/4.9 | Submit date：2023/08/03
Alzheimer's Disease Diagnosis  Computer-aided Diagnosis  Deep Learning  Deformation  Inheritance  Self-attention  Structural Magnetic Resonance Image  Transformer  
Image Recognition Based on Enhanced-Conformer Conference paper
Gong, Runlin, Qi, Ke, Zhou, Yicong, Chen, Wenbin, Zhang, Jingdong. Image Recognition Based on Enhanced-Conformer[C], 2023, 114-120.
Authors:  Gong, Runlin;  Qi, Ke;  Zhou, Yicong;  Chen, Wenbin;  Zhang, Jingdong
Favorite | TC[Scopus]:0 | Submit date：2023/03/06
Cnns  Extra-attention  Image Recognition  Transformer