Xuezhi Yang received his B.Eng. degree from Anhui University, China, in 1992, the M.Eng. degree from Hefei University of Technology, China, in 1995, and the Ph.D. degree from The University of Hong Kong, China, in 2003. From 2006 to 2007, he worked as a postdoctoral research fellow in the Department of Systems Design Engineering at the University of Waterloo, Canada. He is currently a professor in the School of Computer and Information at Hefei University of Technology. His research interests include image processing, pattern recognition, automated interpretation of Synthetic Aperture Radar (SAR) imagery, and automated visual inspection system.
Email: xzyang@hfut.edu.cn
Research interests
My research interests are primarily in the fields of image processing and pattern recognition, specifically on the topics of image denoising, image segmentation and discriminative feature extraction. I am also interested in automated interpretation of Synthetic Aperture Radar (SAR) imagery and automated visual inspection system.
Remote Sensing
Chen Y., Yang X., Song R., Liu X., and Zhang J, "Predicting Arterial Stiffness from Single-Channel Photoplethysmography Signal: A Feature Interaction-Based Approach", IEEE Journal of Biomedical and Health Informatics, vol. 28, pp. 3928-3941, 2024. Get it here. Liu X., Yang X., Wang D., Wong A., Ma L., and Li L, "VidAF: A Motion-Robust Model for Atrial Fibrillation Screening From Facial Videos", IEEE Journal of Biomedical and Health Informatics, vol. 26, pp. 1672-1683, 2022. Get it here. Han X., Yang X., Fang S., Chen Y., Chen Q., Li L., and Song R, "Preserving shape details of pulse signals for video-based blood pressure estimation", Biomedical Optics Express, vol. 15, pp. 2433-2450, . Get it here. Chen Y., Yang X., Liu X., Han X., and Zhang J, "Non-invasive triglyceride detection: Using a combination of complementary multivariate photoplethysmogram features", Biomedical Signal Processing and Control, vol. 83, . Get it here. Chen Q., Yang X., Chen Y., Han X., Gong Z., Wang D., and Zhang J, "A blood pressure estimation approach based on single-channel photoplethysmography differential features", Biomedical Signal Processing and Control, vol. 97, . Get it here.
Conference PapersChen Q., Yang X., Chen Y., and Wang D, "Predicting blood pressure from the change of photoplethysmography features", Proceedings of SPIE - The International Society for Optical Engineering, 2024. Get it here. Liu X., Yang X., Wang D., Wong A., Ma L., and Li L, "VidAF: A Motion-Robust Model for Screening Atrial Fibrillation from Facial Videos", IEEE Journal of Biomedical and Health Informatics, 2022. Get it here.