Name:Yang Xuezhi 

Professional Title:Professor

Situation of Tutors:Supervisor of PhD's Candidates

School/Department:School of Software

Personal Profile:

Professor, supervisor of PhD students, Director of Research Institute of Science and Technology of Hefei University of Technology, Director of Anhui Key Laboratory of Industrial Safety and Emergency Response Technology, Head of Anhui Research Institute of Industrial Safety and Information Technology, Vice President of Anhui Computer Society, Standing Director of Anhui Electronics Society, Secretary General of Microcomputer Application Society of China Instrumentation Society.

Research Directions and Achievements:

(1) Non-contact Intelligent Sensing and Signal Processing

(2) Computer Vision Technology and Applications

(3) Visual Medical Intelligent Detection

(4) Intelligent Detection of Visual Microvibration

[1]G. Zhang, X. Z. Yang*, Z. Z. Di, S. Q. Liu and S. H. Yang, “Phase-based Bridge Cable Vibration Frequency Measurement in Complex Background”, IEEE Transactions on Instrumentation and Measurement, 2023.

[2]Z. Z. Di, X. Z. Yang*, G. Zhang, J. Chen and P. Yang, “Video-based vibration measurement using an unmanned aerial vehicle: an anti-disturbance algorithm for the shaking of airborne cameras”, IEEE Transactions on Instrumentation and Measurement, 2023.

[3]D. L. Wang, X. Z. Yang*, J. Wu and W. Wang, “Personalized modeling of blood pressure with photoplethysmography: an error-feedback incremental support vector regression model”, IEEE Internet of Things Journal, 2023.

[4]X. S. Han, X. Z. Yang*, S. Fang, R. C. Song, L. W. Li and J. Zhang, "Non-contact blood pressure estimation using BP-related cardiovascular knowledge: an uncalibrated method based on consumer-level camera", IEEE Transactions on Instrumentation and Measurement, 2023.

[5]X. N. Liu, X. Z. Yang*, D. L. Wang, S. Fang, L. Ma and L. Li, “PFDNet: a pulse feature disentanglement network for atrial fibrillation detection from facial videos”, IEEE Journal of Biomedical and Health Informatics, 2023.

[6]X. N. Liu, X. Z. Yang*, S. R. Chen, J. Zhang and L. W. Li, “VideoCAD: An Uncertainty-Driven Neural Network for Coronary Artery Disease Screening from Facial Videos”, IEEE Transactions on Instrumentation and Measurement, 2023.

[7]Y. W. Chen, X. Z. Yang*, X. N. Liu, X. S. Han and J. Zhang, “Non-invasive triglyceride detection: Using a combination of complementary multivariate photoplethysmogram features”, Biomedical Signal Processing and Control, 2023.

[8]Z. Z. Di, X. Z. Yang*, G. Zhang, J. Wang and J. Chen, “Phase-Based Vibration Frequency Measurement From Videos Recorded by Unstable Cameras”, IEEE Transactions on Instrumentation and Measurement, 2022.

[9]X. N. Liu, X. Z. Yang*, D. L. Wang, A. Wong, L. Ma and L. Li, “VidAF: A motion-robust model for screening atrial fibrillation from facial videos”, IEEE Journal of Biomedical and Health Informatics, 2022.

[10]D. L. Wang, X. Z. Yang*, X. Liu, L. Ma, L. Li and W. Wang, “Photoplethysmography-based blood pressure estimation combining filter-wrapper collaborated feature selection with LASSO-LSTM Model”, IEEE Transactions on Instrumentation and Measurement, 2021.

[11]X. N. Liu, X. Z. Yang*, D. L. Wang and A. Wong, “Detecting pulse rates from facial videos recorded in unstable lighting conditions: an adaptive spatio-temporal homomorphic filtering algorithm”, IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-15, 2021.

[12]X. N. Liu, X. Z. Yang*, J. Jing and A. Wong. “Detecting pulse wave from unstable facial videos recorded from consumer-level cameras: a disturbance-adaptive orthogonal matching pursuit”, IEEE Transactions on Biomedical Engineering, vol. 67, no. 12, pp. 3352-3362, 2020.

[13]D. L. Wang, X. Z. Yang*, X. N. Liu, J. Jing and S. Fang. “Detail-preserving pulse wave extraction from facial videos using consume-level camera”, Biomedical Optics Express, vol. 11, no. 4, pp. 1876-1891, 2020.

[14]X. Liu, X. Yang, D. Wang and S. Fang, "Heart Rate Detection From Facial Videos Using A Frequencyconstrained Multilayer Sparse Coding," 2020 IEEE International Conference on Image Processing (ICIP), 2020, pp. 335-339, doi: 10.1109/ICIP40778.2020.9191243.

[15]D. L. Wang, X. Z. Yang*, X. Liu, S. Fang, L. Ma and L. Li. “Photoplethysmography based stratification of blood pressure using multi-information fusion artificial neural network”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp.1113-1119, 2020.

[16]H. Q. Wang, X. Z. Yang*, X. N. Liu and D. L. Wang. “Heart rate estimation from facial videos with motion interference using T-SNE-based signal separation”, Biomedical Optics Express, vol. 13, no. 9, pp. 4494-4509, 2022.

[17]Z. Y. Meng, X. Z. Yang*, X. N. Liu, D. L. Wang and X. S. Han. “Non-invasive blood pressure estimation combining deep neural networks with pre-training and partial fine-tuning”, Physiological Measurement, 2022.

Awards and Honors:

Students under his guidance have won many awards, including the second prize of the Challenge Cup National Award, the second prize of the Biomedical Engineering Innovation Design Competition National Award, and the gold and silver prizes at the provincial level of Internet+.