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2020 – today
- 2024
[j5]Tai Ma
, Xinxin Shan, Xinru Dai, Suwei Zhang, Ying Wen, Lianghua He:
IDC-Net: Multi-stage Registration Network Using Intensity Adjustment, Dual-Stream and Cost Volume. Biomed. Signal Process. Control. 97: 106725 (2024)- 2023
- [j4]Xinxin Shan, Tai Ma, Ying Wen:
Prediction of common labels for universal domain adaptation. Neural Networks 165: 463-471 (2023) - [c6]Zhengke Xu, Xinxin Shan, Ying Wen:
MSINET: Multi-scale Interconnection Network for Medical Image Segmentation. CGI (4) 2023: 274-286 - [c5]Hao Zeng, Xinxin Shan, Yu Feng, Ying Wen:
MSAANet: Multi-scale Axial Attention Network for medical image segmentation. ICME 2023: 2291-2296 - 2022
- [j3]Xinxin Shan, YuTao Shen, Haibin Cai, Ying Wen:
Convolutional neural network optimization via channel reassessment attention module. Digit. Signal Process. 123: 103408 (2022) - [j2]Xinxin Shan, Tai Ma, YuTao Shen, Jiafeng Li, Ying Wen:
KAConv: Kernel attention convolutions. Neurocomputing 514: 477-485 (2022) - [c4]Xinxin Shan, Tai Ma, Anqi Gu, Haibin Cai, Ying Wen:
TCRNet: Make Transformer, CNN and RNN Complement Each Other. ICASSP 2022: 1441-1445 - 2021
- [j1]Xinxin Shan, Yue Lu, Qingli Li, Ying Wen:
Model-Based Transfer Learning and Sparse Coding for Partial Face Recognition. IEEE Trans. Circuits Syst. Video Technol. 31(11): 4347-4356 (2021) - [c3]Xinxin Shan, Ying Wen:
A New Framework Based on Transfer Learning for Cross-Database Pneumonia Detection. ICASSP 2021: 1235-1239 - [c2]Xinxin Shan, Ying Wen, Qingli Li, Yue Lu, Haibin Cai:
A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-Domain Classification. MICCAI (5) 2021: 96-106 - [c1]Xinxin Shan, Ying Wen:
Gaussian Mixture Model Based Semi-supervised Sparse Representation for Face Recognition. MMM (1) 2021: 716-727
Coauthor Index
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