📝 Full List of Publications and Preprints

List of all my papers can also be seen on Google Scholar

• Preprint Y. Li, Y. Gao, and H. Wang, “Understanding adversarial transferability in federated learning,” arXiv preprint arXiv:2310.00616, 2023.
• Preprint J. Leng, Y. Li, and H. Wang, “Choosing wisely and learning deeply: Selective cross-modality distillation via clip for domain generalization,” arXiv preprint arXiv: 2311.15145, 2023. 2
• ICCV 2023 Y. Li, X. Wang, L. Yang, L. Feng, W. Zhang, and Y. Gao, “Diverse co-training makes strong semi-supervised segmentor,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 16055–16067, 2023.
• ICCV 2023 S. Huang, Y. Li, C. Chen, L. Shi, and Y. Gao, “Multi-metrics adaptively identifies backdoors in federated learning,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 4652–4662, October 2023.
• CVPR 2023 X. Wang, X. Yang, S. Zhang, Y. Li, L. Feng, S. Fang, C. Lyu, K. Chen, and W. Zhang, “Consistent-teacher: Towards reducing inconsis- tent pseudo-targets in semi-supervised object detection,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 3240–3249, 2023. (Highlight 2.5%)
• BIBM 2022 Y. Li, W. Cai, Y. Gao, C. Li, and X. Hu, “More than encoder: Introducing transformer decoder to upsample,” in 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1597–1602, IEEE, 2022.
• ISA transactions X. Xie, Y. Li, Y. Gao, C. Wu, P. Gao, B. Song, W. Wang, and Y. Lu, “Weakly supervised object localization with soft guidance and channel erasing for auto labelling in autonomous driving systems,” ISA transactions, vol. 132, pp. 39–51, 2023.
• TCBB W. Cai, L. Xie, W. Yang, Y. Li, Y. Gao, and T. Wang, “Dftnet: Dual-path feature transfer network for weakly supervised medical image segmentation,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022.