师资队伍

1.2025.01-2028.12 国家自然科学基金面上项目，主持

2.2023.01-2025.12 国家自然科学基金青年科学基金项目，主持

3.2020.09-2021.12 英国自然基金（EPSRC）博后项目，主持

[1] Lu Yu, Haoyu Han, Zhe Tao, Hantao Yao, Changsheng Xu. "Language Guided Concept Bottleneck Models for Interpretable Continual Learning." In CVPR 2025.（CCF-A类会议论文）

[2] Lu Yu, Haiyang Zhang, and Changsheng Xu. "Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models." In NeurIPS 2024.（CCF-A类会议论文）

[3] Tao Zhe, Lu Yu, Hantao Yao, Shucheng Huang, and Changsheng Xu. "Class incremental learning for light-weighted networks." IEEE Transactions on Circuits and Systems for Video Technology (2024). (中科院一区期刊)

[4] Yao, Hantao, Jifei Luo, Lu Yu, and Changsheng Xu. "Camera-Incremental Object Re-Identification With Identity Knowledge Evolution." IEEE Transactions on Multimedia (2024). (中科院一区期刊)

[5] Zhai, Jiang-Tian, Xialei Liu, Lu Yu, and Ming-Ming Cheng. "Fine-grained knowledge selection and restoration for non-exemplar class incremental learning." In AAAI 2024. （CCF-A类会议论文）

[6] 姚涵涛, 余璐, and 徐常胜. "视觉语言模型引导的文本知识嵌入的小样本增量学习." 软件学报 35, no. 5 (2023): 0-0. （CCF-A类会议论文）

[7] Yu, Lu, Malvina Nikandrou, Jiali Jin, and Verena Reiser. "Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment." In IJCAI 2023.（CCF-A类会议论文）

[8] Yu, Lu, and Verena Rieser. "Adversarial Textual Robustness on Visual Dialog." Findings of the Association for Computational Linguistics: ACL 2023. 2023.

[9] Yu Lu, Xialei Liu, and Joost Van de Weijer. "Self-training for class-incremental semantic segmentation." IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. （中科院一区期刊论文）

[10] Gomez-Villa, Alex, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, and Joost Van de Weijer. "Continually learning self-supervised representations with projected functional regularization." In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 3866-3876. IEEE, 2022. (CVPR“持续学习”论坛最佳论文)

[11] Wang Yaxing, Joost Van de Weijer, Lu Yu* and SHANGLING JUI. "Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data." International Conference on Learning Representations (ICLR), 2021.（AI顶级会议论文）

[12] Wang, Yaxing, Yu, Lu, and Joost van de Weijer. "Deepi2i: Enabling deep hierarchical image-to-image translation by transferring from gans." In NeurIPS 2020. （CCF-A类会议论文）

[13] Yu, Lu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, and Joost van de Weijer. "Semantic drift compensation for class-incremental learning." In CVPR 2020.（CCF-A类会议论文）

[14] Wang Yaxing, Yu Lu, and Joost van de Weijer. "Deepi2i: Enabling deep hierarchical image-to-image translation by transferring from gans." Advances in Neural Information Processing Systems 33 (NeurIPS) , 2020: 11803-11815.（CCF-A类会议论文）

[15] Yu, Lu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, and Arnau Ramisa. "Learning metrics from teachers: Compact networks for image embedding." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2019. （CCF-A类会议论文）

1.2024.01  第二届粤港澳大湾区（黄埔）国际算法算例大赛全国三等奖

2.2023.08  ChinaMM 2023 最佳海报论文奖

3.2022.06  CVPR 2022 持续学习论坛最佳论文奖

4.2015.09  国家留学基金委公派留学奖学金