Xi'an Jiaotong-Liverpool University

首页 > 通信与网络工程系 > Qing Liu

Profile

Dr. Qing Liu is now an assistant professor in dept. of CAN, school of advanced technology at XJTLU. She joined XJTLU since 2018.

I'm seeking for dedicated and self-driven PhD students. Please contact me at qing.liu@xjtlu.edu.cn if you're interested in artificial intelligence for healthcare, signal/image processing, wearable systems and health informatics.

Qualifications
- PhD, The Chinese University of Hong Kong (CUHK) - 2013
- B.E., University of Science and Technology of China (USTC) - 2008
- Fellow of Advanced Higher Education (UK) - 2021
Experience
- postdoctoral fellow, Suzhou Institute of Biomedical Engineering and Technology, The Chinese Academy of Science, 2015-2017
Research interests
- Development of intelligent algorithms and wearable systems for healthcare applications.
Articles
- J.Y. Hong, Y.L. Zheng, S.H. Wu, G.Q. Geng, Q. Liu, Carmen C.Y. Poon, “Characterization of the vascular system using overnight wearable-based pulse arrival time and ambulatory blood pressure: A pilot study”, Computers in Biology and Medicine, Volume 137, 2021, 104861.
- G.Q. Geng, Y.L. Zheng, J.Y. Hong, Q. Liu, Carmen C.Y. Poon, “Novel and robust auxiliary indicators to ankle-brachial index using multi-site pulse arrival time and detrended fluctuation analysis for peripheral arterial disease assessment”, Biomedical Signal Processing and Control, Volume 77, 2022, 103865.
- Q. Liu, Y. Zheng, Y. Zhang, and C. Poon, "Beats-to-beats Estimation of Blood Pressure during Supine Cycling Exercise Using a Probabilistic Nonparametric Method," IEEE Access, 2021.
-  Poon, C. C., Jiang, Y., Zhang, R., Lo, W. W., . . .Liu, Q.,… Wong, S. H. (2020). AI-doscopist: a real-time deep-learning-based algorithm for localising polyps in colonoscopy videos with edge computing devices. NPJ Digital Medicine, 3(1), 1-8.
-  Wu, J., Zhou, Z., Liu, Q., Wang, Y., Wang, Y., Gu, Y., & Chen, X. (2020). Two-wavelength phase-shifting method with four patterns for three-dimensional shape measurement. Optical Engineering, 59(2), 024107.
-  Chen, X., Fan, R., Wu, J., Song, X., Liu, Q., Wang, Y., . . . Tao, B. (2020). Fourier-transform-based two-stage camera calibration method with simple periodical pattern. Optics and Lasers in Engineering, 133, 106121.
- Q. Liu, B. P. Yan, C. M. Yu, Y. T. Zhang, & C. C. Y. Poon (2014), “Attenuation of systolic blood pressure and pulse transit time hysteresis during exercise and recovery in cardiovascular patients,” IEEE Trans Biomed Eng, 61(2), 346-352.
- Q. Liu, C. C. Y. Poon, & Y. T. Zhang (2011), “Time–frequency analysis of variabilities of heart rate, systolic blood pressure and pulse transit time before and after exercise using the recursive auto-regressive model,” Biomed Signal Process Control, 6(4), 364-369.
- C. C. Y. Poon, Q. Liu, H. Gao, W. H. Lin, & Y. T. Zhang (2011), “Wearable intelligent systems for e-health,” J Comput Sci Eng, 5(3), 246-256.
Chapters, cases, readings and supplements
- Qing Liu, Yuqi Jiang, Ruoxi Yu, Carmen C.Y. Poon, “Wearable Sensors and Deep Learning for the Management of Acute Pancreatitis in Precision Medicine”, in Reference Module in Biomedical Sciences, Elsevier, 2021, ISBN 9780128012383.
- Q. Liu, C. C. Y. Poon, & Y. T. Zhang, “Wearable technologies for neonatal monitoring,” in W. Chen, S. B. Oetomo & L. Feijs (Eds.), Neonatal Monitoring Technologies: Design for Integrated Solutions, pp. 12-40: IGI Global, 2012.
Conference presentations
- J. Hong, J. Gao, Q. Liu, Y. Zhang, and Y. Zheng, "Deep Learning Model with Individualized Fine-tuning for Dynamic and Beat-to-Beat Blood Pressure Estimation," in 2021 IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2021, pp. 1-4: IEEE.
-  Zheng, Y., Liu, Q., & Poon, C. (2020). Unobtrusive Blood Pressure Estimation using Personalized Autoregressive Models. Paper presented at the 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, Canada.
- Q. Liu, C. C. Y. Poon, & Y. T. Zhang, “A novel method to estimate baroreflex sensitivity based on pulse transit time,” IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Shenzhen China, Jan 5-7, 2012.
- Q. Liu, P. W. Chiu, Y. T. Zhang, K. K. Hung, & C. C. Y. Poon, “A new approach for early screening of gastroesophageal reflux disease based on cardiovascular responses induced during drinking,” The 2nd Annual AMA-IEEE Medical Technology Conference, Boston, MA, Oct 16-18, 2011.
- Y. T. Zhang, Q. Liu, C. C. Y. Poon, Y. L. Zheng, & H. Gao, “Cardiovascular health informatics: Wearable intelligent sensors for e-health (WISE),” The 2011 IEEE Technology Time Machine Sympsium on Technologies Beyond 2020 (TTM), Hong Kong, Jun 1-3, 2011.
- Q. Liu, C. C. Y. Poon, & Y. T. Zhang, “The influence of heart rate and its variability on the Spectrum of photoplethysmographic signal,” The 7th International School and Symposium on Medical Devices and Biosensors (MDBS 2010), in conjunction with 6th International School and Symposium on Biomedical and Health Engineering (BHE 2010), Hong Kong, Dec 17-18, 2010.
- Q. Liu, C. C. Y. Poon, & Y. T. Zhang, “A comparative study on electrocardiogram and photoplethysmogram,” MDBS2009 & BHE2009, Shenzhen, China, Dec 26-28, 2009.
- Q. Liu, C. C. Y. Poon, M. Wong, & Y. T. Zhang, “The time-frequency analysis of variabilities of heart rate, systolic blood pressure and pulse transit time on normotensive subjects after exercise,” The 2nd International Symposium on The Applied Sciences in Biomedical and Communication Technologie proceedings, pages: 98-100, Bratislava, Slovakia, Nov 24-27, 2009.
- W. H. Lin, O. W. Samuel, Q. Liu, Y. T. Zhang, & G. L. Li* , “Comparison of the Correlation of Different Pulse Transit Time Parameters to Blood Pressure,” International Conference on Biomedical Engineering and Health Informatics (ICBHI 2015), Haikou, China, Oct 9-10, 2015.
Grants
- PI, " Cuffless Continuous Blood Pressure Estimation via Flexible Sensing and Information Fusion ", XJTLU Research Development Fund (RDF), 2022-2025, 99700RMB.
- PI, XJTLU Summer Undergraduate Research Fellowship, 2022 summer
- PI, "Machine learning-based algorithms for wearable and continuous blood pressure estimation", Jiangsu University Natural Science Research Programme, 2018-2020
- 2018 Jiangsu PhD Holder Plan – Oversea Prestigious University Innovation
Courses taught
- SAT001: Explore Advanced Technology
- EEE411, Advanced Signal Processing
- EEE102, C++ Programming and Software Engineering II
- EEE220, Instrumentation and Control System
Professional memberships
- Affiliated Member, IEEE-EMBS Wearable Biomedical Sensors and Systems Technical Committee

电话
+86 (0)51288161400
电子邮件
Qing.Liu@xjtlu.edu.cn
地址
SC340(SIP Campus-Science Building)
Suzhou Dushu Lake Science and Education Innovation District
Suzhou Industrial Park
Suzhou
P.R.China
215123

Qing LiuPhD

Profile

Qualifications

Experience

Research interests

Articles

Chapters, cases, readings and supplements

Conference presentations

Grants

Courses taught

Professional memberships