Paper Publications
- [11] Yu Liu, Zhigang Yang, Juan Cheng, Xun Chen, “Multi-Exposure Image Fusion via Multi-scale and Context-aware Feature Learning,” IEEE Signal Processing Letters, vol. 30, pp. 100-104, 2023.
- [12] Yu Liu, Yi Wei, Chang Li, Juan Cheng, Rencheng Song, Xun Chen, “Bi-CapsNet: A Binary Capsule Network for EEG-based Emotion Recognition,” IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 3, pp. 1319-1330, 2023.
- [13] Wei Tang, Fazhi He, Yu Liu, Yansong Duan, Tongzhen Si, “DATFuse: Infrared and Visible Image Fusion via Dual Attention Transformer,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 7, pp. 3159-3172, 2023. (ESI Hot Paper, ESI Highly Cited Paper)
- [14] Yi Wei, Yu Liu*, Chang Li, Juan Cheng, Rencheng Song, Xun Chen, “TC-Net: A Transformer Capsule Network for EEG-based Emotion Recognition,” Computers in Biology and Medicine, vol. 152, p. 106463, 2023.
- [15] 王磊, 齐争争, 刘羽*, “深度学习多聚焦图像融合方法综述,” 中国图象图形学报, vol. 28, no. 1, pp. 80-101, 2023. (Invited Paper)
- [16] Wei Tang, Fazhi He, Yu Liu, “YDTR: Infrared and Visible Image Fusion via Y-shape Dynamic Transformer,” IEEE Transactions on Multimedia, vol. 25, pp. 5413-5428, 2023. (ESI Hot Paper, ESI Highly Cited Paper)
- [17] Wei Tang, Fazhi He, Yu Liu, “TCCFusion: An Infrared and Visible Image Fusion Method based on Transformer and Cross Correlation,” Pattern Recognition, vol. 137, p. 109295, 2023. (ESI Highly Cited Paper)
- [18] Wei Tao, Chang Li, Rencheng Song, Juan Cheng, Yu Liu, Feng Wan, Xun Chen, “EEG-based emotion recognition via channel-wise attention and self attention,” IEEE Transactions on Affective Computing, vol. 14, no. 1, pp. 382-393, 2023. (ESI Hot Paper, ESI Highly Cited Paper)
- [19] Yu Liu, Hao Zhao, Rencheng Song, Xudong Chen, Chang Li, Xun Chen, “SOM-Net: Unrolling the Subspace-based Optimization for Solving Full-wave Inverse Scattering Problems,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, p. 2007715, 2022.
- [20] Yu Liu, Fuhao Mu, Yu Shi, Xun Chen, “SF-Net: A Multi-task Model for Brain Tumor Segmentation in Multimodal MRI via Image Fusion,” IEEE Signal Processing Letters, vol. 29, pp. 1799-1803, 2022.