- 【TOP】2024年入学的硕士招生已结束, 目前暂无博士招生名额。

- 【2023/10/7】受邀担任IPCAI 2024 Area Chair

- 【2023/10/7】课题组论文被IEEE JBHI接收

- 【2023/10/7】课题组学生：徐加声、岳浩、张韩啸获得国家奖学金

- 【2023/9/4】课题组论文被Medical Image Analysis接收

- 【2023/6/24】课题组论文被MICCAI 2023接收

- 【2023/6/23】课题组论文被Medical Image Analysis接收

- 【2023/6/22】课题组论文获IPCAI2023 Machine Learning for CAI Award

- 【2023/5/25】课题组论文被MICCAI 2023 Early Accept

- 【2023/5/18】课题组论文被Medical Image Analysis Conditionally Accepted

- 【2023/5/7】课题组论文被IEEE JBHI录用

- 【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

2024 -  2027  国家自然科学基金-面上项目

2021 -  2023  浙江省之江实验室开放课题

2021 -  2023  国家自然科学基金-青年科学基金项目

2020 -  2022  上海市启明星培育(青年科技英才扬帆计划)

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

参与
2020  -  2022  国家重点研发项目

代表性期刊论文：

1. M. Zhang,
   Y. Gu
   , Towards Connectivity-Aware Pulmonary Airway Segmentation,
   IEEE Journal of Biomedical and Health Informatics (JBHI)
   , 2023 (Accepted)
2. M. Zhang,...,
   Y. Gu
   , Multi-site, Multi-domain Airway Tree Modeling,
   Medical Image Analysis (MedIA)
   , 90:102957, 2023
3. 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 (Accepted)
4. C. Zhang, H. Zheng,
   Y. Gu
   , Dive into the Details of Self-supervised Learning for Medical Image Analysis,
   Medical Image Analysis (MedIA)
   , 89:102879, 2023
5. C. Zhang, G.Z. Yang,
   Y. Gu
   , Constrastive Adversarial Learning for Unsupervised Endomicroscopy Image Super-Resolution,
   IEEE Journal of Biomedical and Health Informatics (JBHI)
   , 27(8):3994-4005, 2023
6. Y. Gu
   , Single-shot Focus Estimation for Microscopy Imaging with Kernel Distillation,
   IEEE Transactions on Computational Imaging (TCI)
   , 9, 542-550, 2023
7. 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.
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. 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
10. 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.
11. 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.
12. 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.
13. 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
14. 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
15. 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.
16. 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.
17. 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
18. 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. X. You,
   Y. Gu
   , Y. Wu, M. Zhang, M. Ding, Y. Yu, J. Yang, “Semantic difference guidance for the uncertain boundary segmentation of CT left atrium appendage”,
   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
   , 2023.
2. H. Yue,
   Y. Gu
   “TCL: Triplet Consistent Learning for Odometry Estimation of Monocular Endoscope”,
   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
   , 2023.
3. Y. Yang, M. Wei, J. He, J. Yang, J. Ye and
   Y. Gu
   , “Pick the Best Pre-trained Model: Towards Transferability Estimation For Medical Image Segmentation”,
   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
   , 2023,
   Early Accepted
   .
4. W. Yu, H. Zheng,
   Y. Gu
   , F. Xie, J. Sun, J. Yang, “AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling”,
   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
   , 2023,
   Early Accepted
   .
5. 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.
6. 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.
   Machine Learning for CAI Award
   .
7. 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
   .
8. 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
   .
9. 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
   .
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
    Early Accepted
16. 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.
17. 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.
18. 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.
19. 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
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.
21. 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.
22. 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.
23. 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.
24. 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.

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

2023,  IPCAI Machine Learning for CAI Award