GUO Yao 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 in 2018. His postdoctoral training was at the Hamlyn Centre for Robotic Surgery, Imperial College London, London, UK from 2018 to 2020. |
[32] Yujian An, Jianxin Yang, Bingze He, Yuxuan Liu, Yao Guo* and Guang-Zhong Yang*, "A Microscopic Vision-Based Robotic System For Floating Electrode Assembly," IEEE/ASME Transactions on Mechatronics (TMECH), vol. 29, no. 5, pp. 3810-3820, 2024.
[31] Yuxuan Liu, Jiasheng Zhou, Yating Luo, Jinkai Li, Sung-Liang Chen, Yao Guo* and Guang-Zhong Yang*, "UPAMNet: A unified network with deep knowledge priors for photoacoustic microscopy," Photoacoustics, vol. 38, pp. 100608, 2024. (*Co-corresponding author)
[30] Zhenye Xu, Yao Guo*, "GCCRR: A Short Sequence Gait Cycle Segmentation Method Based on Ear-Worn IMU", ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), October, 2024, pp. 650-654. (*Corresponding author)
[29] Bingze He, Zhiang Zhang, Jianxin Yang, Yujian An, Yao Guo* and Guang-Zhong Yang*, "Magnetically Actuated Floating Millirobot Platform for Streamlined Flexible Neural Electrode Manipulation," in IEEE International Conference on Mechatronics and Automation (ICMA), August, 2024, pp. 311-316. (*Co-corresponding author)
[28] Yujian An, Jianxin Yang, Jinkai Li, Bingze He, Yao Guo*, Guang-Zhong Yang*, "Skill Learning in Robot-Assisted Micro-Manipulation Through Human Demonstrations with Attention Guidance", IEEE International Conference on Robotics and Automation (ICRA), May, 2024, pp. 15601-15607.
[27] Yating Luo, Yuxuan Liu, Jiasheng Zhou, Sung-Liang Chen, Yao Guo*, Guang-Zhong Yang*, "Fast Photoacoustic Microscopy with Robot Controlled Microtrajectory Optimization", IEEE International Conference on Robotics and Automation (ICRA), May, 2024, pp. 17750-17756. (*Co-corresponding author)
[26] Yunfei Luan†, Muhang He†, Yudong Tian, Chengjie Lin, Yunhan Fang, Zihao Zhao, Jianxin Yang, Yao Guo*, "Intelligent Disinfection Robot with High-Touch Surface Detection and Dynamic Pedestrian Avoidance”,IEEE International Conference on Robotics and Automation (ICRA), May, 2024, pp. 3595-3601. (*Corresponding author)
[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) Dec. 2023, pp. 6537-6543.(*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, vol. 25, pp. 8880-8891, 2023. (*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.
E-mail: yao.guo@sjtu.edu.cn
address:闵行校区转化医学大楼N220
website:https://imr.sjtu.edu.cn/sz_teachers/3452.html