2015 - 2019 上海交通大学，生物医学工程学院，获博士学位
2016 - 2018 Imperial College London, The Hamlyn Centre, 联合培养博士
2013 - 2015 上海交通大学，自动化系，获硕士学位
2009 - 2013 西安交通大学，自动化系，获学士学位

医学影像分析，计算机视觉，机器学习

1.国家自然科学基金-青年科学基金项目，“基于迁移学习的内窥显微成像计算机辅助诊断研究” ，2021 - 2023 ，主持
2. 上海市青年科技英才扬帆计划，“基于多模态关联学习的智能数字病理诊断研究”，2020-2022，主持
3. 上海脑科学与类脑研究中心，“求索杰出青年”计划，2020-2022，主持
4. 中国计算机学会-腾讯犀牛鸟创意基金，“基于单样本跨模态嵌入的医学影像分类算法研究”，2020-2021，主持
5. 上海交通大学-医工交叉研究基金, “医学影像人工智能在肺实性结节良恶性诊断中的应用”，2021-2023，联合主持
6. 国家重点研发项目，“面向消化道早癌的诊疗一体化手术机器人关键 技术及系统 ”，2020-2022，参与

1. Y. Gu
   , C. Gu, J. Yang, J. Sun and G.-Z. Yang, Vision-Kinematics-Interaction for Robotic-Assisted Bronchoscopy Navigation,
   IEEE Transactions on Medical Imaging (TMI)
   , In Press, 2022.


2. Y. Gu
   , Y. Xu, J. Yang, W. Xue and G.-Z. Yang, Towards Robust Feature Embedding for Endomicroscopy Image Classification,
   IEEE Transactions on Medical Imaging (TMI)
   , In Press, 2022.


3. Y. Gu
   , J. Yang and G.-Z. Yang, Towards Occlusion-Aware Pose Estimation of Surgical Suturing Threads ,
   IEEE Transactions on Biomedical Engineering (TBME)
   , In Press, 2022.


4. Y. Gu
   , K. Vyas, M. Shen, J. Yang, and G.-Z. Yang, Deep Graph-Based Multimodal Feature Embedding for Endomicroscopy Image Retrieval,
   IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
   , 32(2): 481-492，2021


5. Y. Gu
   and J. Yang, Densely-Connected Multi-Magnification Hashing for Histopathological Image Retrieval,
   IEEE Journal of Biomedical and Health Informatics (JBHI)
   , 23(4): 1683-1691,2019


6. Y. Gu
   , K. Vyas, J. Yang, and G.-Z. Yang, Transfer Recurrent Feature Learning for Endomicroscopy Image Recognition,
   IEEE Transactions on Medical Imaging (TMI)
   , 38(3): 791-801, 2019.


7. Y. Gu
   , M. Shen, J. Yang, and G.-Z. Yang, Reliable Label-Efficient Learning for Biomedical Image Recognition,
   IEEE Transactions on Biomedical Engineering (TBME)
   , 66(9): 2423-2432, 2019.


8. Y. Gu
   , X. Qian, Q. Li, M. Wang, R. Hong, and Q. Tian, Image annotation by latent community detection and multikernel learning,
   IEEE Transactions on Image Processing (TIP)
   , 24(11): 3450-3463, 2015.


9. Y. Gu
   , B. Walter, J. Yang, A. Meining, and G.-Z. Yang, “Triplet Feature Learning on Endoscopic Video Manifold for Online GastroIntestinal Image Retargeting,” in
   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
   , 2019, pp. 38–46.


10. Y. Gu
    , K. Vyas, J. Yang, and G.-Z. Yang, “Weakly supervised representation learning for endomicroscopy image analysis,” in
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2018, pp. 326–334.


11. Y. Gu
    , Y. Hu, L. Zhang, J. Yang, and G.-Z. Yang, “Cross-scene suture thread parsing for robot assisted anastomosis based on joint feature learning,” in
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    , 2018, pp. 769–776.


12. Y. Gu
    , K. Vyas, J. Yang, and G.-Z. Yang, “Unsupervised feature learning for endomicroscopy image retrieval,” in
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2017, pp. 64–71.


13. Y. Gu
    , C. Ma, and J. Yang, “Supervised recurrent hashing for large scale video retrieval,” in Proceedings of the 24th
    ACM international conference on Multimedia (ACM MM)
    , 2016, pp. 272–276.

2020-2021 秋 CS-171 程序设计思想与方法（C++）
2020-2021 秋/2021-2022 秋 MS-232 致远荣誉课程：先进医学影像与智能导航
2020-2021 春 AU-342 人工智能基础
2021-2022 秋 CS-1501 程序设计思想与方法（C++）
2021-2022 春 AU-3323 人工智能基础

2019，李介谷优秀博士论文奖