- 【TOP】2025年入学的硕士/博士招生已结束，来件较多，部分邮件未能回复，望海涵。
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- 【2025/6/30】课题组论文被IROS, ICCV接收
- 【2025/5/26】课题组论文被IEEE JBHI接收
- 【2025/2/3】课题组论文被IPCAI 2025接收
- 【2025/1/27】课题组论文被IEEE ICRA 2025接收
- 【2025/1/25】受邀担任MICCAI 2025 Area Chair
- 【2024/12/20】课题组论文被IEEE TMI接收
- 【2024/9/30】课题组学生张明辉获得国家奖学金
- 【2024/9/23】课题组论文被IEEE TMI接收
- 【2024/6/18】课题组论文被MICCAI 2024接收
- 【2024/5/1】课题组论文被Pattern Recognition接收
- 【2024/2/1】受邀担任MICCAI 2024 Area Chair
- 【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
- 【2023/5/7】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
- 【2023/1/17】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

医学影像分析，计算机辅助介入

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)
   , 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. 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.
5. 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
6. 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.
7. Xin You, Junjun He, Jie Yang,
   Y. Gu
   , Learning with Explicit Shape Priors for Medical Image Segmentation,
   IEEE Transactions on Medical Imaging (TMI)
   , 2024.
8. 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)
   , 42(10): 2899-2911, 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. H Zheng, Y Qin,
    Y. Gu
    , F Xie, J Yang, J Sun, GZ Yang, Alleviating class-wise gradient imbalance for pulmonary airway segmentation,
    IEEE Transactions on Medical Imaging (TMI)
    , 40(9): 2452-2462, 2021.
11. 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
12. 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
13. M. Zhang,...,
    Y. Gu
    , Multi-site, Multi-domain Airway Tree Modeling,
    Medical Image Analysis (MedIA)
    , 90:102957, 2023
14. 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
15. M. Zhang, H. Zhang, X. You, G.-Z. Yang,
    Y. Gu
    , “Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures”,
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2024.
16. 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.
17. 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.
18. 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
    .
19. 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
    .
20. 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
    .
21. 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
    .
22. 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.


23. 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.
24. 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.


25. 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
26. 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.


27. 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.

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