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郭遥

助理教授

通讯地址: 转化医学大楼N220
电子邮件: yao.guo@sjtu.edu.cn

  • 教育背景

    2014-2018 香港城市大学,机械与生物医学工程系,博士学位
    2011-2014 中山大学,信息科学与技术学院,硕士学位
    2007-2011 中山大学,信息科学与技术学院,学士学位

  • 工作经历

    2020至今 上海交通大学 生物医学工程学院/医疗机器人研究院,长聘教轨助理教授
    2018-2020 Imperial College London, The Hamlyn Centre for Robotic Surgery, Research Associate
    2017-2018 香港城市大学,Research Assistant

  • 研究方向

    机器人视觉,机器学习,步态分析,康复与辅助机器人,智能人机交互

  • 代表性论文专著

    [17] Yao Guo, Xiao Gu, and Guang-Zhong Yang*, "MCDCD: Multi-Source Unsupervised Domain Adaptation for Abnormal Human Gait Detection", IEEE Journal of Biomedical and Health Informatics (J-BHI), 2021.

    [16] Frank Po Wen Lo, Yao Guo*, Yingnan Sun, Jianing Qiu, and Benny Ping Lai Lo, "Deep3DRanker: A Novel Framework for Learning to Rank 3D Models with Self-Attention in Robotic Vision", IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021.

    [15] Yao Guo, Xiao Gu, and Guang-Zhong Yang*, “Human–Robot Interaction for Rehabilitation Robotics.” Digitalization in Healthcare: Implementing Innovation and Artificial Intelligence, Springer, pp. 269-295, 2021.

    [14] 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), vol. 32, no. 2, pp. 546-560, 2020.

    [13] Xiao-Yun Zhou*, Yao Guo, Mali Shen, Guang-Zhong Yang, “Application of Artificial Intelligence in surgery,” Frontiers of Medicine, vol. 14, pp. 417-430, 2020.

    [12] 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

    [11] 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) & IROS 2019, vol. 4, no. 4, pp. 3617-3624, 2019.

    [10] 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)

    [9] 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.

    [8] 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.

    [7] 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.

    [6] 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.

    [5] 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.

    [4] 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.

    [3] 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)

    [2] 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.

    [1] Yao Guo, Kaide Huang, Nanyong Jiang, Xuemei Guo, and Guoli Wang*, “An Exponential-Rayleigh signal strength model for device-free localization and tracking with wireless networks,” International Conference on Intelligent Control and Information Processing (ICICIP), Beijing, China, 2013, pp. 108-113.

友情链接
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医疗机器人研究院