LSV-ANet: Deep Learning on Local Structure Visualization for Feature Matching. - Jiaxuan Chen 002; Shuang Chen 008; Xiaoxian Chen; Yang Yang 032; Linjie Xing; Xiaoyan Fan; Yujing Rao (IEEE Trans. Geosci. Remote. Sens., 2022)

IGS-Net: Seeking Good Correspondences via Interactive Generative Structure Learning. - Jiaxuan Chen 002; Shuang Chen 008; Yuyan Liu; Xiaoxian Chen; Xiaoyan Fan; Yujing Rao; Chengjiang Zhou; Yang Yang 032 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Hierarchical Consensus Attention Network for Feature Matching of Remote Sensing Images. - Shuang Chen 008; Jiaxuan Chen 002; Yujing Rao; Xiaoxian Chen; Xiaoyan Fan; Haicheng Bai; Lin Xing; Chengjiang Zhou; Yang Yang 032 (IEEE Trans. Geosci. Remote. Sens., 2022)

Let's Talk About Business: A Corpus-Based Study of 'Business' Related Near-Synonyms and Their Teaching in Chinese as a Second Language. - Yin Zhong; Yujing Rao (CLSW (2), 2023)

Shape-Former: Bridging CNN and Transformer via ShapeConv for multimodal image matching. - Jiaxuan Chen 002; Xiaoxian Chen; Shuang Chen 008; Yuyan Liu; Yujing Rao; Yang Yang 032; Haifeng Wang; Dan Wu (Inf. Fusion, 2023)

DCFusion: A Dual-Frequency Cross-Enhanced Fusion Network for Infrared and Visible Image Fusion. - Dan Wu; Mina Han; Yang Yang 032; Shan Zhao 008; Yujing Rao; Hao Li 093; Lin Xing; Chengjiang Zhou; Haicheng Bai (IEEE Trans. Instrum. Meas., 2023)

Boosting target-level infrared and visible image fusion with regional information coordination. - Mina Han; Kailong Yu; Junhui Qiu; Hao Li 093; Dan Wu; Yujing Rao; Yang Yang 032; Lin Xing; Haicheng Bai; Chengjiang Zhou (Inf. Fusion, 2023)

AT-GAN: A generative adversarial network with attention and transition for infrared and visible image fusion. - Yujing Rao; Dan Wu; Mina Han; Ting Wang; Yang Yang 032; Tao Lei; Chengjiang Zhou; Haicheng Bai; Lin Xing (Inf. Fusion, 2023)

StateNet: Deep State Learning for Robust Feature Matching of Remote Sensing Images. - Jiaxuan Chen 002; Shuang Chen 008; Xiaoxian Chen; Yang Yang 032; Yujing Rao (IEEE Trans. Neural Networks Learn. Syst., 2023)