Dr. Yao Guo received his B.S. degree in automation and M.S. degree in communication and information system from Sun Yat-sen University (Guangzhou, China) in 2011 and 2014, respectively. He earned his Ph.D. degree in robotic vision from the City University of Hong Kong (Hong Kong SAR, China) in 2018. His postdoctoral training was at the Hamlyn Centre for Robotic Surgery, Imperial College London, from 2018 to 2020. Since Oct. 2020, he has been the tenure-track Assistant Professor with the Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China.

His main research interests include robotic vision, gait analysis, rehabilitation and assistive robotics, human-machine interaction, and machine learning algorithms in healthcare applications. He has published in peer-reviewed journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Neural Network and Learning Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Image Processing, Pattern Recognition, IEEE Transactions on Mobile Computing P, J-BHI, PR, TMC, and presented on top-level conferences such as ICRA, IROS. He received the Best Conference Paper Award at the IEEE International Conference on Mechatronics and Automation (ICMA) 2016.

2014-2018 Ph.D. in Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong SAR, China

2011-2014 M.S. in Communication and Information System, School of Information Science and Technology, Sun Yat-sen University (SYSU), Guangzhou, China

2007-2011 Bachelor in Automation, School of Information Science and Technology, Sun Yat-sen University (SYSU) , Guangzhou, China

2020-now Assistant Professor, School of Biomedical Engineering & Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China

2018-2020 Research Associate, The Hamlyn Centre for Robotic Surgery, Imperial College London, London, United Kingdom

2017-2018 Research Assistant, Department City University of Hong Kong, Hong Kong SAR, China

Robotic Vision，Machine Learning，Gait Analysis，Rehabilitation Robotics，Human-Machine Interaction

1. Xiao Gu, Yao Guo, Fani Deligianni, Guang-Zhong Yang*, “Cross-Subject and Cross-Modal Transfer for Generalized Abnormal Gait Pattern Recognition,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), In press, 2020.

2. Yao Guo, Raffaele Gravina, Xiao Gu, Giancarlo Fortino, Guang-Zhong Yang*, “EMG-based Abnormal Gait Detection and Recognition,” IEEE International Conference on Human-Machine Systems (ICHMS), In press, 2020.

3. Xiao Gu, Yao Guo, Fani Deligianni, Guang-Zhong Yang*, “Real-world depth enhancement based on coupled Real-Synthetic Domain Adaptation,” IEEE Transactions on Image Processing (TIP), vol. 29, pp. 6343-6356, 2020

4. Yao Guo, Fani Deligianni, Xiao Gu, Guang-Zhong Yang*, “3D Canonical Pose Estimation and Abnormal Gait Recognition with a Single RGB-D Camera,” IEEE Robotics and Automation Letters (RA-L), vol. 4, no. 4, pp. 3617-3624, 2019.

5. Yao Guo#, Fani Deligianni#, Guang-Zhong Yang*, “From Emotions to Mood Disorders: A Survey on Gait Analysis Methodology,” IEEE Journal of Biomedical and Health Informatics (J-BHI), vol. 23, no. 6, pp. 2302-2316, 2019. (#: equal contribution)

6. Ya-Yen Tsai, Yao Guo, and Guang-Zhong Yang*, “Unsupervised Task Segmentation Approach for Bimanual Surgical Tasks using Spatiotemporal and Variance Properties,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019, pp. 7940-7946.

7. Dandan Zhang, Yao Guo, Junhong Chen, Jindong Liu, and Guang-Zhong Yang*, ``A Handheld Master Controller for Robot-Assisted Microsurgery,'' IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019, pp. 394-400.

8. Yao Guo, You-Fu Li*, Zhanpeng Shao, “RRV: A spatiotemporal descriptor for rigid body motion recognition,” IEEE Transactions on Cybernetics (TCyber), vol. 48, no. 5, pp. 1513-1525, 2018.

9. Yao Guo, You-Fu Li*, Zhanpeng Shao, “DSRF: A Flexible Trajectory Descriptor for Articulated Human Action Recognition,” Pattern Recognition, vol. 76, pp. 137-148, 2018.

10. Yao Guo, You-Fu Li*, Zhanpeng Shao, “On multi-scale self-similarities description for effective 3D/6D motion trajectory recognition,” IEEE Transactions on Industrial Informatics (TII), vol. 13, no. 6, pp. 3017-3026, 2017.

11. Yao Guo, You-Fu Li*, and Zhanpeng Shao, “MSM-HOG: A flexible trajectory descriptor for rigid body motion recognition,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, 2017, pp. 4298-4303.

12. Yao Guo, You-Fu Li*, and Zhanpeng Shao, “DSRF: A Flexible Descriptor for Effective Rigid Body Motion Trajectory Recognition,” IEEE International Conference on Mechatronics and Automation (ICMA), Harbin, China, 2016, pp. 1673-1678. (Best Conference Paper Award)

13. Yao Guo, Kaide Huang, Nanyong Jiang, Xuemei Guo, Guoli Wang*, “An Exponential-Rayleigh model for RSS-based device-free localization and tracking,” IEEE Transactions on Mobile Computing (TMC), vol. 14, no. 3, pp. 484-494, 2015.