PEOPLE

Faculty

Yun Gu

Associate Professor

Office Phone: +8619921973640
Location: Insitute of Medical Robotics
E-mail: yungu@ieee.org
Homepage: https://geronsushi.github.io

Biography

Yun Gu received his B.S. in Control Engineering in 2013 from Xian Jiao Tong University, MS in Control Engineering in 2015 from Shanghai Jiao Tong University, and Ph.D. degree in Biomedical Engineering from Shanghai Jiao Tong University in 2019. He was also a visiting scholar in the Hamlyn Centre, Imperial College London from 2016 to 2018. Since 2020, he has been at the Shanghai Jiao Tong University where he is currently Assistant Professor of the Department of Automation, and the Institute of Medical Robotics .

News:
- [TOP] If you want to join my group, feel free to drop me an email.
- [2023/5/25] Two papers are early accepted by MICCAI 2023!
- [2023/5/7] Recent works are accepted by IEEE TCI/IEEE JBHI and IEEE TMI!
- [2023/01/29] I will serve as an Area Chair for MICCAI 2023.
- [2023/01/17] Our CDFI Framework for lumen detection is accepted to ICRA 2023.
- [2023/01/14] One paper is accepted to IPCAI 2023.
- [2022/09/11] Our work on tustworthy learning for pulmonary nodule analysis is accpeted by Medical Image Analysis.
- [2022/09/02] Our TNN framework for pulmonary airway labeling is accepted by IEEE Transactions on Medical Imaging.
- [2022/08/12] Our benchmark paper on suturing thread detection is accepted by IEEE Transactions on Biomedical Engineering.
- [2022/07/07] Our VKI is accepted by IEEE Transactions on Medical Imaging.
- [2022/06/30] Our CFDA paper is awarded with MICCAI Student Travel Award! (Top 5%)
- [2022/06/10] Our LTSP paper is awarded with IPCAI Bench-to-Bedside Best Paper!
- [2022/06/03] Two papers are early accepted by MICCAI 2022!
- [2022/05/30] Our StochRoutine Norm is accepted by IEEE Transactions on Medical Imaging.

Research Interests

Medical Image Analysis, Computer-Aided Intervention

Selected Publications



    Journal Papers:
  1. C. Zhang, H. Zheng,
    Y. Gu
    , Dive into the Details of Self-supervised Learning for Medical Image Analysis,
    Medical Image Analysis (MedIA)
    , 2023 (Accepted)

  2. M. Zhang,...,
    Y. Gu
    , Multi-site, Multi-domain Airway Tree Modeling (ATM’22): A Public Benchmark for Pulmonary Airway Segmentation,
    Medical Image Analysis (MedIA)
    , 2023 (Conditionally Accepted)

  3. C. Zhang, G.Z. Yang,
    Y. Gu
    , Constrastive Adversarial Learning for Unsupervised Endomicroscopy Image Super-Resolution,
    IEEE Journal of Biomedical and Health Informatics (JBHI)
    , 2023 (Accepted)

  4. 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)

  5. Y. Gu
    , Single-shot Focus Estimation for Microscopy Imaging with Kernel Distillation,
    IEEE Transactions on Computational Imaging (TCI)
    , 9, 542-550, 2023

  6. 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.

  7. 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

  8. 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

  9. 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.

  10. 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.

  11. 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.

  12. 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

  13. 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

  14. 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.

  15. 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.

  16. 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

  17. 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.



Conference Papers:

  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.

Teaching

2020-2021 Fall CS-171 C++ Programming
2020-2021/2021-2022 Fall MS-232 Zhiyuan Honor Course: Advanced Medical Imaging and Intelligent Navigation
2020-2021 Spring AU-342 Artificial Intelligence
2021-2022 Fall CS-1501 C++ Programming
2021-2022 Spring AU-3323 Artificial Intelligence

Professional Affiliations

Area Chair: MICCAI 2023PC Member: ACML 2021,2022; AAAI 2023Conference Reviewer: MICCAI 2018-2022; ICRA 2020-2023; IROS 2021-2022; CVPR 2021-2023; ICCV 2021,2023; ECCV 2022Journal Reviewer: MedIA, IEEE TIP/TMI/TBME/JBHI/TMM/TCSVT/TASE/TCDS/RAL, MLJ, Patt Recogn...

Institute of Medical Robotics

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