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中文

Dr Xiao-ping ZHENG

鄭瀟平博士

Postdoctoral Fellow
Department of Sports Science and Physical Education
BSc (CUG, CN), MSc (CUG, CN), PhD (RUG, NL)
+852 3943 5345
Research Interest
  • Gait Analysis
  • Machine Learning
  • Explainable Artificial Intelligence
  • Time Series Analysis
  • Wearable Sensor
Selected Publications (*denotes corresponding author)
  1. Zheng, X., Reneman, M., Ottem, E., and Lamoth, C., Explaining deep learning models for age-related gait classification based on time series acceleration. Computers in biology and medicine, 184 (2025): 109338. https://doi.org/10.1016/j.compbiomed.2024.109338
  2. Zheng, X., Lamoth, C., Timmerman, H., Ottem, E., and Reneman, M., Establishing central sensitization inventory cut-off Values in patients with chronic low back pain by unsupervised machine learning. Computers in biology and medicine, 178 (2024): 108739. https://doi.org/10.1016/j.compbiomed.2024.108739
  3. Zheng, X., Wilhelm, E., Reneman, M., Ottem, E., and Lamoth, C., Age-related gait patterns classification using deep learning based on time-series data from one accelerometer. Biomedical Signal Processing and Control, 104 (2025): 107406. https://doi.org/10.1016/j.bspc.2024.107406
  4. Zheng, X., Reneman, M., Schiphorst Preuper, R., Ottem, E., and Lamoth, C., Relationship between physical activity and central sensitization in chronic low back pain: Insights from machine learning. Computer Methods and Programs in Biomedicine, 232 (2023): 107432. https://doi.org/10.1016/j.cmpb.2023.107432
  5. Zheng, X., Reneman, M., Echeita, J., Schiphorst Preuper, R., Kruitbosch, H., Ottem, E., and Lamoth, C., Association between central sensitization and gait in chronic low back pain: Insights from a machine learning approach. Computers in biology and medicine, 144 (2022): 105329. https://doi.org/10.1016/j.compbiomed.2022.105329
Conference/Symposium Presentation
  • Computer-Assisted Customized Exercise Program for Frail Older Adults in Care Homes. International Symposium of Asian Society for Adapted Physical Education and Exercise 2024, Hokkaido, Japan (Oral).
  • Explaining deep learning models for age-related gait classification based on time-series acceleration. ISB 2023, Fukuoka, Japan (Oral).
  • Deep learning for age-related gait patterns classification based on raw accelerometer signal from 3 minutes walking. ISPGR 2023, Brisbane, Australia (Oral).
  • Physical activity patterns of patients with chronic low back pain and central sensitization: insights from a machine learning method. BME 2023, Egmond aan Zee, The Netherlands (Oral).
  • Effects of level of central sensitization on physical activity patterns in chronic low back pain: insights from a machine learning approach. ISPGR 2022, Online (Oral).
  • Exploring effects of central sensitization on gait in chronic low back pain by using machine learning approach. ICAMPAM 2022, Online (Oral).
  • Classification of patients with chronic low back pain and high or low central sensitization by gait outcomes using machine learning methods. BME 2021, Online (Oral).
  • Establishing central sensitization inventory cutoff-scores in chronic low back pain population by deep learning. PA!N Congres 2021, Online (Oral).
  • Exploring effects of central sensitization on gait in chronic low back pain by machine learning. PA!N Congres 2021, Online (Oral).
  • Physical activity levels of patients with chronic low back pain and central sensitization: insights from a machine learning method. ICAMPAM 2021, Online (Oral)
Selected Honours and Awards
  • Postdoctoral Fellowship Scheme, Research Committee, The Chinese University of Hong Kong, 2024/25
  • Research Fellowship Scheme, Research Committee, The Chinese University of Hong Kong, 2024/25
  • Gold Medal, Salon International des Inventions de Gen`eve, 2025, zurich, Switzerland – Mass customization of lightweight, breathable hip protectors for older adults via automated inverse design and 3D printing
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