A New Framework Based on Transfer Learning for Cross-Database Pneumonia Detection. - Xinxin Shan; Ying Wen 003 (ICASSP, 2021)

A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-Domain Classification. - Xinxin Shan; Ying Wen 003; Qingli Li; Yue Lu 001; Haibin Cai (MICCAI (5), 2021)

Gaussian Mixture Model Based Semi-supervised Sparse Representation for Face Recognition. - Xinxin Shan; Ying Wen 003 (MMM (1), 2021)

Model-Based Transfer Learning and Sparse Coding for Partial Face Recognition. - Xinxin Shan; Yue Lu 001; Qingli Li; Ying Wen 003 (IEEE Trans. Circuits Syst. Video Technol., 2021)

TCRNet: Make Transformer, CNN and RNN Complement Each Other. - Xinxin Shan; Tai Ma; Anqi Gu; Haibin Cai; Ying Wen 003 (ICASSP, 2022)

Convolutional neural network optimization via channel reassessment attention module. - Xinxin Shan; YuTao Shen; Haibin Cai; Ying Wen 003 (Digit. Signal Process., 2022)

KAConv: Kernel attention convolutions. - Xinxin Shan; Tai Ma; YuTao Shen; Jiafeng Li; Ying Wen 003 (Neurocomputing, 2022)

MSINET: Multi-scale Interconnection Network for Medical Image Segmentation. - Zhengke Xu; Xinxin Shan; Ying Wen 003 (CGI (4), 2023)

MSAANet: Multi-scale Axial Attention Network for medical image segmentation. - Hao Zeng; Xinxin Shan; Yu Feng; Ying Wen 003 (ICME, 2023)

Prediction of common labels for universal domain adaptation. - Xinxin Shan; Tai Ma; Ying Wen 003 (Neural Networks, 2023)

A Fine-Grained Recurrent Network for Image Segmentation via Vector Field Guided Refinement. - Xinxin Shan; Yao Li; Fang Chen; Dongchu Wang; Yifan Deng (PRCV (14), 2024)

IDC-Net: Multi-stage Registration Network Using Intensity Adjustment, Dual-Stream and Cost Volume. - Tai Ma; Xinxin Shan; Xinru Dai; Suwei Zhang; Ying Wen 003; Lianghua He (Biomed. Signal Process. Control., 2024)