• 郭遥

    长期致力于机器人视觉、智能人机交互、康复与辅助机器人、以及面向医疗健康应用的人工智能算法研究。在相关领域的国际期刊TCyber, PR, TII, TNNLS, TIP, J-BHI, TMC, RA-L和机器人领域知名会议IEEE ICRA, IEEE/RSJ IROS等发表论文近40余篇,其中发表在IEEE ICMA 2016的论文获最佳会议论文奖。

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
研究方向
  • 人体运动分析,人体姿态估计,人体形状重构,步态分析
  • 脑机接口,精神负荷检测,认知康复与辅助
  • 机器视觉,视觉SLAM,模式识别,机器学习,深度学习
  • 躯体传感网络,生物信号处理,康复机器人
代表性论文专著

[25] Jinkai Li, Jianxin Yang, Yuxuan Liu, ZHEN LI, Guang-Zhong Yang, Yao Guo*, "EasyGaze3D: Towards Effective and Flexible 3D Gaze Estimation from a Single RGB Camera ", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023, Accepted.(*Corresponding author)

[24] Yuxuan Liu, Jianxin Yang, Xiao Gu, Yijun Chen, Yao Guo*, and Guang-Zhong Yang*, "EgoFish3D: Egocentric 3D Pose Estimation from a Fisheye Camera via Self-Supervised Learning", IEEE Transactions on Multimedia, 2023, Accepted. (*Co-corresponding author)

[23] Yuxuan Liu, Jianxin Yang, Xiao Gu, Yao Guo*, and Guang-Zhong Yang*, "EgoHMR: Egocentric Human Mesh Recovery via Hierarchical Latent Diffusion Model ", IEEE International Conference on Robotics and Automation (ICRA), May, 2023, pp. 9807-9813. (*Co-corresponding author)

[22] Yuxuan Liu, Jianxin Yang, Xiao Gu, Yao Guo*, and Guang-Zhong Yang*, "Ego+X: An Egocentric Vision System for Global 3D Human Pose Estimation and Social Interaction Characterization", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct., 2022, pp. 5271-5277. (*Co-corresponding author)

[21] Jianxin Yang, Yuxuan Liu, Xiao Gu, Guang-Zhong Yang, and Yao Guo*, "PoseSDF: Simultaneous 3D Human Shape Reconstruction and Gait Pose Estimation Using Signed Distance Functions", IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, USA, pp. 1297-1303, May, 2022.(*Corresponding author)

[20] Yao Guo, Jianxin Yang, Yuxuan Liu, Xun Chen*, and Guang-Zhong Yang*, "Detection and Assessment of Parkinson's Disease based on Gait Analysis: A Survey", Frontiers in Aging Neuroscience, 14:916971, 2022.

[19] Frank Lo, Yao Guo*, Yingnan Sun, Jianing Qiu, Benny Lo, "An Intelligent Nutritional Assessment System for Handheld Food Items via Weakly-Supervised Point Cloud Completion", IEEE Transactions on Multimedia (TMM), 2022, Accepted. (*Corresponding author)

[18] Yao Guo, Weidong Chen, Jie Zhao, and Guang-Zhong Yang*, "Medical Robotics: Opportunities in China", Annual Review of Control, Robotics, and Autonomous Systems (ARCRAS), vol. 5, no. 1, pp. 361-383, 2022.

[17] Chengxi Zhong, Yuyu Jia, David C. Jeong, Yao Guo*, Song Liu*, "AcousNet: A Deep Learning based Approach to Dynamic 3D Holographic Acoustic Field Generation from Phased Transducer Array", IEEE Robotics and Automation Letters (RA-L), vol. 7, no. 2, pp. 666-673, 2022. (*Co-corresponding author)

[16] Xiao Gu, Yao Guo, Guang-Zhong Yang*, and Benny Lo*, "Cross-Domain Self-Supervised Complete Geometric Representation Learning for Real-Scanned Point Cloud Based Pathological Gait Analysis", IEEE Journal of Biomedical and Health Informatics (J-BHI)vol. 26, no. 3, pp. 1034-1044, March, 2022.

[15] Yao Guo, Daniel Freer, Fani Deligianni, and Guang-Zhong Yang*, "Eye-tracking for Performance Evaluation and Workload Estimation in Space Telerobotic Training", IEEE Transactions on Human-Machine Systems (THMS), vol. 52, no. 1, pp. 1-11, February,  2021.

[14] 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, vol. 25, no. 10, pp. 4017-4028.

[13] 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. (*Corresponding author) 

[12] 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 

[11] 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 

[10] Xiao Gu, Yao Guo, Fani Deligianni, Guang-Zhong Yang*, “Coupled real-synthetic domain adaptation for real-world deep depth enhancement,” IEEE Transactions on Image Processing (TIP), vol. 29, pp. 6343-6356, 2020 

[9] 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 

[8] 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) 

[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, April, 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.

教学工作


学术兼职

联系方式

邮箱地址: yao.guo@sjtu.edu.cn

办公地址:闵行校区转化医学大楼N220

网址:https://imr.sjtu.edu.cn/sz_teachers/3452.html