| CAB U-Net: an end-to-end category attention boosting algorithm for segmentation X Ding, Y Peng, C Shen, T Zeng Computerized Medical Imaging and Graphics 84, 101764, 2020 | 23 | 2020 |
| Scarf: A semantic constrained attention refinement network for semantic segmentation X Ding, C Shen, Z Che, T Zeng, Y Peng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 14 | 2021 |
| SAB Net: A semantic attention boosting framework for semantic segmentation X Ding, C Shen, T Zeng, Y Peng IEEE Transactions on Neural Networks and Learning Systems, 2022 | 12 | 2022 |
| A new initialization method based on normed statistical spaces in deep networks H Yang, X Ding, R Chan, H Hu, Y Peng, T Zeng Inverse Problems & Imaging 15 (1), 2021 | 7 | 2021 |
| SRRNet: A Semantic Representation Refinement Network for Image Segmentation X Ding, T Zeng, J Tang, Z Che, Y Peng IEEE Transactions on Multimedia, 2022 | 2 | 2022 |
| A new initialization method for neural networks with weight sharing X Ding, H Yang, RH Chan, H Hu, Y Peng, T Zeng Mathematical Methods in Image Processing and Inverse Problems: IPIP 2018 …, 2021 | 1 | 2021 |
| A memory pool variational autoencoder framework for cross-domain recommendation J Yang, J Zhu, X Ding, Y Peng, Y Zhang Expert Systems with Applications 241, 122771, 2024 | | 2024 |
yaxin pengShanghai UniversityVerified email at shu.edu.cn
