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。
 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.
 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)
 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), 2021, https://doi.org/10.1109/THMS.2021.3107519
 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), 2021, https://doi.org/10.1109/JBHI.2021.3107532
 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.
 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)
 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
 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
 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
 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
 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)
 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
 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
 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
 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.
 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)
 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
 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.