- 【TOP】2023年入学的硕士/博士招生已结束。

- 【2023/3/29】课题组论文被IEEE TMI, IEEE TCI录用！

- 【2023/1/29】受邀作为MICCAI 2023 Area Chair！

- 【2023/1/23】课题组论文被IEEE ISBI 2023录用！

- 【2023/1/17】课题组论文被IEEE ICRA 2023录用！

- 【2023/1/14】课题组论文被IPCAI 2023录用！

- 【2022/09/27】课题组研二硕士吴扬谦获得研究生国家奖学金！

- 【2022/09/11】课题组论文被Medical Image Analysis录用！ 
- 【2022/09/02】课题组论文被IEEE TMI录用！ 
- 【2022/08/20】指导推免学生毕设论文获”陕西省自动化学会优秀毕业设计特等奖“ 
- 【2022/08/12】课题组论文被IEEE TBME录用！ 
- 【2022/07/07】课题组论文被IEEE TMI录用！ 
- 【2022/06/30】课题组论文被MICCAI 2022授予Student Travel Award（Top 4%）！
- 【2022/06/10】课题组论文获IPCAI2022 Bench-to-Bedside Best Paper Award！ 
- 【2022/06/03】课题组论文被MICCAI2022 Early Accept! (Top 13%)！ 
- 【2022/05/30】课题组论文被IEEE TMI录用！

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

2020-2022 上海交通大学，自动化系/医疗机器人研究院，助理教授
2022至今 上海交通大学，自动化系/医疗机器人研究院，副教授

主持
2021 -  2023  浙江省之江实验室开放课题，“面向大规模医学影像深度模型的预训练与泛化研究”
2021 -  2023  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”
2020 -  2022  上海市启明星培育(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  上海脑科学与类脑研究中心，“求索杰出青年”计划
2020 -  2021  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”

参与
2020  -  2022  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 ”

代表性期刊论文：

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)
   , 41(12): 3600-3610, 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)
   , 41(11): 3242-3252, 2022.
3. 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.
4. H Zheng, Y Qin,
   Y. Gu
   , F Xie, J Yang, J Sun, G.-Z. Yang, Alleviating class-wise gradient imbalance for pulmonary airway segmentation,
   IEEE Transactions on Medical Imaging (TMI)
   , 40(9): 2452-2462, 2021.
5. Y Qin, H Zheng,
   Y. Gu
   , X Huang, J Yang, L Wang, F Yao, YM Zhu, G.Z Yang, Learning tubule-sensitive CNNs for pulmonary airway and artery-vein segmentation in CT,
   IEEE Transactions on Medical Imaging (TMI)
   , 40(6): 1603-1617, 2021
6. W. Yu, H. Zheng,
   Y. Gu
   , F. Xie, J. Yang, J. Sun and G.-Z. Yang, TNN: Tree Neural Network for Airway Anatomical Labeling,
   IEEE Transactions on Medical Imaging (TMI)
   , 42(1):103-118, 2023
7. Chao Xia, Jiyue Wang, Yulei Qin, Juan Wen, Zhaojiang Liu, Ning Song, Lingqian Wu, Bing Chen,
   Y. Gu
   , Jie Yang, KaryoNet: An End-to-End Combinatorial Optimization Method for Chromosome Recognition in Metaphase Cell Images,
   IEEE Transactions on Medical Imaging (TMI)
   , 2023
8. H. Zhang, L. Chen, X. Gu, M. Zhang, Y. Qin, F. Yao, Z. Wang,
   Y. Gu
   and G.-Z. Yang, Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT,
   Medical Image Analysis (MedIA)
   , 83: 102627, 2023
9. Y. Gu
   , Single-shot Focus Estimation for Microscopy Imaging with Kernel Distillation,
   IEEE Transactions on Computational Imaging (TCI)
   ,2023.
10. Y. Gu
    , J. Yang and G.-Z. Yang, Towards Occlusion-Aware Pose Estimation of Surgical Suturing Threads ,
    IEEE Transactions on Biomedical Engineering (TBME)
    , 70(2): 581-591, 2023.
11. 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): 481-492，2020
12. 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.
13. 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
14. 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.

代表性会议论文：

1. 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.
2. 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.
   Early Accepted, Student Travel Award
3. 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.
4. M. Zhang, H. Zhang, G.-Z. Yang,
   Y. Gu
   , “CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs,”
   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
   , 2022,
   Early Accepted, Student Travel Award
   .
5. C. Xia, J. Wang, Y. Qin,
   Y. Gu
   , B. Chen, J. Yang, “An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention,”
   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
   , 2022,
   Early Accepted
   .
6. H Zheng, Y Qin,
   Y. Gu
   , F Xie, J Sun, J Yang, GZ Yang, “Refined Local-imbalance-based Weight for Airway Segmentation in CT,” in
   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
   , 2021, pp. 410–419.
7. H. Zhang,
   Y. Gu
   , Y. Qin, F. Yao, and G.-Z. Yang, “Learning with sure data for nodule-level lung cancer prediction,” in
   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
   , 2020, pp. 570–578.
8. H. Zheng, Z. Zhuang, Y. Qin,
   Y. Gu
   , J. Yang, and G.-Z. Yang, “Weakly supervised deep learning for breast cancer segmentation with coarse annotations,” in
   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
   , 2020, pp. 450–459.
9. Y Qin, H Zheng,
   Y. Gu
   , X Huang, J Yang, L Wang, YM Zhu, “Learning bronchiole-sensitive airway segmentation CNNs by feature recalibration and attention distillation,” in
   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
   , 2020, pp. 221–231.
10. Y Qin, M Chen, H Zheng,
    Y. Gu
    , M Shen, J Yang, X Huang, YM Zhu, GZ Yang, “Airwaynet: a voxel-connectivity aware approach for accurate airway segmentation using convolutional neural networks,” in
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2019, pp. 212–220.
11. H. Zheng,
    Y. Gu
    , Y. Qin, X. Huang, J. Yang, G.-Z. Yang, “Small lesion classification in dynamic contrast enhancement MRI for breast cancer early detection,” in
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2018, pp. 410–419.
12. 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.
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. 64–71.
14. J. Xu, T. Zhang, Y. Wu, J. Yang, G.-Z. Yang and
    Y. Gu
    , “CDFI: Cross Domain Feature Interaction for Robust Bronchi Lumen Detection”
    International Conference on Robotics and Automation (ICRA)
    , 2023.
15. H. Zhang, M. Zhang,
    Y. Gu
    and G-Z. Yang, “Deep Anatomy Learning for Lung Airway and Artery-vein Modeling with Contrast-enhanced CT Synthesis”
    International Conference on Information Processing in Computer-Assisted Interventions (IPCAI)
    , 2023.
16. Y. Wu, M. Zhang, W. Yu, H. Zheng, J. Xu, and
    Y. Gu
    , “LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation,”
    International Conference on Information Processing in Computer-Assisted Interventions (IPCAI)
    , 2022.
    Best Bench-to-Bedside Paper Award
    .
17. C. Zhang,
    Y. Gu
    , J. Yang, and G.-Z. Yang, “Diversity-Aware Label Distribution Learning for Microscopy Auto Focusing,” in
    IEEE International Conference on Robotics and Automation (ICRA)
    , with RAL submission, vol. 6, no. 2, pp. 1942–1949, 2021.
18. J. Liu, Y. Qiao, J. Yang, G.-Z. Yang, and
    Y. Gu
    , “Discriminative Asymmetric Learning for Efficient Surgical Instrument Parsing,” in
    IEEE International Conference on Robotics and Automation (ICRA)
    , 2021, pp. 13546–13552.
19. M. Shen,
    Y. Gu
    , N. Liu, and G.-Z. Yang, “Context-aware depth and pose estimation for bronchoscopic navigation,” in
    IEEE International Conference on Robotics and Automation (ICRA)
    with RAL submission, vol. 4, no. 2, pp. 732–739, 2019.
20. Y. Hu,
    Y. Gu
    , J. Yang, and G.-Z. Yang, “Multi-stage suture detection for robot assisted anastomosis based on deep learning” in
    IEEE International Conference on Robotics and Automation (ICRA)
    2018.

博士研究生：

张楚嫣（2020级）

张明辉（2022级）

刘尧宇（2023级）

硕士研究生：

吴扬谦（2021级）

岳浩（2022级）

李晨雨（2023级）

联合指导博士研究生：

张天忆（2019级，杨杰教授/杨广中教授）

张韩啸 （2020级，杨广中教授）

游鑫（2020级，杨杰教授）

吴俊杨（2023级，杨广中教授）

联合指导硕士研究生：

徐加声（2021级，杨杰教授）

杨运成（2022级，杨杰教授）

毕业学生：

张明辉（硕士，2020-2022，现就读于上海交通大学）

郑昊（博士，2016-2022，杨广中教授/杨杰教授，现就职于腾讯）

秦玉磊（博士，2016-2022，杨杰教授，现就职于腾讯）

刘佳奇（硕士，2019-2022，乔宇副教授，现就读于香港中文大学）

梁子云（硕士，2019-2022，杨杰教授，现就读于牛津大学）

喻伟豪（硕士，2020-2023，杨杰教授，现就读于香港中文大学）

2019，李介谷优秀博士论文奖

2022，IPCAI Best Bench-to-Bedside Paper Award（第一作者为研一硕士）