PEOPLE

Faculty

Yun Gu

Assistant Professor

Office Phone: +8613915556597
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 .

Research Interests

Medical Image Analysis, Computer Vision, Machine Learning

Selected Publications

1. Yun Gu, Benjamin Walter, Jie Yang, Alexander Meining, Guang-Zhong Yang Triplet Feature Learning on Endoscopic Video Manifold for Real-time Gastrointestinal Image Retargeting, MICCAI, 2019.
2. Yun Gu, Jie Yang, Multi-level Magnification Correlation Hashing for Scalable Histopathological Image Retrieval, Neurocomputing, 2019.
3. Yun Gu, Mali Shen, Jie Yang and Guang-Zhong Yang, Reliable Label Efficient Learning for Biomedical Image Recognition, IEEE Transactions on Biomedical Engineering, 2019.
4. Yun Gu, Jie Yang, Densely-Connected Multi-Magnification Hashing for Histopathological Image Retrieval, IEEE Journal of Biomedical and Health Informatics, 2018.
5. Yun Gu, Khushi Vyas, Jie Yang and Guang-Zhong Yang, Transfer Recurrent Feature Learning for Endomicroscopy Image Classification, IEEE Transactions on Medical Imaging, 2018.
6. Yun Gu, Yang Hu, Lin Zhang, Jie Yang and Guang-Zhong Yang, Cross-scene Suture Thread Parsing for Robot Assisted Anastomosis based on Joint Representation Learning, IEEE IROS, 2018.
7. Yun Gu, Khushi Vyas, Jie Yang and Guang-Zhong Yang, Weakly-supervised Reperesentation Learning for Endomicroscopy Image Analysis, MICCAI, 2018 (Student Travel Award).
8. Yun Gu, Khushi Vyas, Jie Yang and Guang-Zhong Yang, Unsupervised Feature Learning for Endomicroscopy Image Retrieval, MICCAI, 2017.
9. Yun Gu, Chao Ma, Jie Yang, Supervised Recurrent Hashing for Large Scale Video Retrieval, ACM Multimedia, 2016.
10. Yun Gu, Guang-Zhong Yang, Jie Yang, Multi-View Multi-Model Embedding for Endomicroscopy Mosaics Classification,IEEE CVPR Workshop on Computer Vision for Microscopy Image Analysis, 2016.
11. Yun Gu, Haoyang Xue, Jie Yang et.al ,Cross-modal Saliency Correlation for Image Annotation,Neural Processing Letters, 2016.
12. Yun Gu, Xueming Qian, Qing Li et.al ,Image Annotation by Latent Community Detection and Multiple Kernel Learning, IEEE Transactions on Image Processing, 2015.
13. Yun Gu, Haoyang Xue, Jie Yang, et.al. Cross-modality Hashing with Partial Correspondence. in IEEE International Conference on Image Processing (ICIP,Oral), 2015.
14. Yun Gu, Haoyang Xue, Jie Yang, et.al.Automatic Image Annotation Exploiting Visual and Textual Saliency, in 21st International Conference on Neural Information Processing (ICONIP,Oral), 2014.
15. Yun Gu, Ting Liu, Dai Wang, Xiaohong Guan and Zhanbo Xu,Bad Data Detection Method for Smart Grid Based on Distributed State Estimation", in IEEE International Conference on Communications (ICC), 2013.
16. Mali Shen*,Yun Gu*, Ning Liu and Guang-Zhong Yang, Context-Aware Depth and Pose Estimation for Bronchoscopic Navigatio, IEEE Robotics and Automation Letters, 2018 (Equal Contribution).
17. Mali Shen*,Yun Gu*, Pallav Shah and Guang-Zhong Yang, Unsupervised Learning of Depth Estimation from Video for Bronchoscopic Navigation, Hamlyn Symposium for Medical Robots, 2018 (Equal Contribution, Oral).
18. Mingjian Chen, Yun Gu, Yulei Qin, Hao Zheng, Jie Yang, LobeNet: A global position reservation and fissure-aware convolutional neural network for pulmonary lobe segmentation, ISBI, 2020.
19. Yulei Qin, Yun Gu, Hao Zheng, Mingjian Chen, Jie Yang, Yuemin Zhu, AirwayNet-SE: A Simple-yet-Effective Approach to Improve Airway Segmentation Using Context Scale Fusion, ISBI, 2020.
20. Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang and Guang-Zhong Yang, Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection, MICCAI, 2018.
21. Yang Hu*, Yun Gu*, Jie Yang and Guang-Zhong Yang, Deep Multi-Stage Detection for Surgical Suture Threads, IEEE ICRA, 2018 (Equal Contribution).
22. Chao Ma, Yun Gu, Jie Yang, Unsupervised Video Hashing by Exploiting Spatial-Temporal Feature, ICONIP, 2016.
23. Yun Gu, Guang-Zhong Yang, Jie Yang and Kun Sun, 4D Cardiac Ultrasound Standard Plane Location by Spatial-Temporal Correlation, Technical Report, 2016.
24. Liqun Ji, Yun Gu, Kun Sun, Jie Yang, Yu Qiao, Congenital Heart Disease (CHD) Discrimination in Fetal Echocardiogram based on 3D Feature Fusion, IEEE International Conference on Image Processing (ICIP), 2016.
25. Qiuxing Chen, Yun Gu, Lixiu Yao, et.al. Pedestrian Counting with Random Forests. in 22nd International Conference on Neural Information Processing (ICONIP), 2015.
26. Shuai Huang, Yun Gu, Jie Yang, et.al. Reranking of Person Re-identification by Manifold-based approach. in IEEE International Conference on Image Processing (ICIP), 2015.
27. Haoyang Xue, Yun Gu, Jie Yang, et.al. RGB-D Saliency Detection via Mutual Guided Manifold Ranking. in IEEE International Conference on Image Processing (ICIP), 2015.
28. Qing Li, Yun Gu and Xueming Qian. LCMKL: Latent-community and multi-kernel learning based image annotation,in ACM International Conference on Information and Knowledge Management (CIKM), 2013.
29. Ting Liu, Yun Gu, Dai Wang and Yuhong Gui. APSE: A Novel Method to Detect Bad Data Injection Attack in Smart Grid".in IEEE INFOCOM, 2013.

Honors and Awards

Travel Award, MICCAI 2018

Institute of Medical Robotics

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