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姓 名：余 璐
職 稱：副教授 導(dǎo)師類型：博士生導(dǎo)師、碩士生導(dǎo)師 電子郵箱：luyu@email.tjut.edu.cn
辦公地點：1-305 研究方向：計算機視覺、機器學(xué)習(xí)
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1. 國家自然科學(xué)基金面上項目，主持
2. 國家自然科學(xué)基金青年科學(xué)基金項目，主持
3. 英國自然基金（EPSRC）博后項目，主持
[1] Jifei Luo, Wenzheng Wu, Hantao Yao, Lu Yu, Changsheng Xu. "Locality Preserving Markovian Transition for Instance Retrieval." In ICML 2025.（CCF-A類會議論文）
[2] Zhe Tao, Lu Yu, Hantao Yao, Changsheng Xu. "Leveraging Multiple Deep Experts for Online Class-incremental Learning." In ICME 2025.（CCF-B類會議論文）
[3] Lu Yu, Haoyu Han, Zhe Tao, Hantao Yao, Changsheng Xu. "Language Guided Concept Bottleneck Models for Interpretable Continual Learning." In CVPR 2025.（CCF-A類會議論文）
[4] 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類會議論文）
[5] 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). (中科院一區(qū)期刊)
[6] Yao, Hantao, Jifei Luo, Lu Yu, and Changsheng Xu. "Camera-Incremental Object Re-Identification With Identity Knowledge Evolution." IEEE Transactions on Multimedia (2024). (中科院一區(qū)期刊)
[7] 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類會議論文）
[8] 姚涵濤, 余璐, and 徐常勝. "視覺語言模型引導(dǎo)的文本知識嵌入的小樣本增量學(xué)習(xí)." 軟件學(xué)報 35, no. 5 (2023): 0-0. （CCF-A類會議論文，中科院一區(qū)期刊）
[9] 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類會議論文）
[10] Yu, Lu, and Verena Rieser. "Adversarial Textual Robustness on Visual Dialog." Findings of the Association for Computational Linguistics: ACL 2023. 2023.
[11] 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. （中科院一區(qū)期刊論文）
[12] 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“持續(xù)學(xué)習(xí)”論壇最佳論文)
[13] 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頂級會議論文）
[14] 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類會議論文）
[15] 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類會議論文）
[16] 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類會議論文）
[17] 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類會議論文）
1.2024 教書育人標兵
2.2024.01 第二屆粵港澳大灣區(qū)（黃埔）國際算法算例大賽全國三等獎
3.2023.08 ChinaMM 2023 最佳海報論文獎
4.2022.06 CVPR 2022 持續(xù)學(xué)習(xí)論壇最佳論文獎
5.2015.09 國家留學(xué)基金委公派留學(xué)獎學(xué)金
