XIAOPING ZHENG

(郑潇平)

PostDoc
Chinese University of Hong Kong
Email: X.Zheng@cuhk.edu.hk
Human Movement Science, Machine Learning, Wearable Sensors

Xiaoping Zheng is currently a PostDoct in the Department of Sport Science and Physical Education at the Chinese University of Hong Kong, working under the supervision of Prof. Yijian Yang.
   He received his Ph.D. from the University of Groningen / University Medical Center Groningen, where he was guided by Prof. Claudine Lamoth, Prof. Michiel Reneman and Prof. Bert Otten.
   His research interests encompass gait and physical activity intensity analysis, machine learning, explainable artificial intelligence, wearable sensors, and time series analysis.

PUBLICATIONS

Explainable Artificial Intelligence in movement sciences: focusing on gait analysis in healthy older adults and patients with back pain

X Zheng

PhD Thesis

Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration

X Zheng, CJC Lamoth, Hans Timmerman,E Otten, MF Reneman

Computers in Biology and Medicine, 2025

Establishing Central Sensitization Inventory Cut-off Values in Dutch-speaking patients with Chronic Low Back Pain by Unsupervised Machine Learning

X Zheng, CJC Lamoth, Hans Timmerman,E Otten, MF Reneman

Computers in Biology and Medicine, 2024

Age-related Gait Patterns Classification Using Deep Learning Based on Time-series Data from One Accelerometer

X Zheng, E Wilhelm, MF Reneman, E Otten, CJC Lamoth

preprint

Relationship Between Physical Activity Intensity Patterns and Central Sensitization in Patients with Chronic Low Back Pain: Insights from A Machine Learning Approach

X Zheng, MF Reneman, RHRS Preuper, E Otten, CJC Lamoth

Computer Methods and Programs in Biomedicine, 2023

Association between central sensitization and gait in chronic low back pain: Insights from a machine learning approach

X Zheng, MF Reneman, JA Echeita, RHRS Preuper, H Kruitbosch, E Otten, CJC Lamoth

Computers in biology and medicine, 2022

Path distance-based map matching for Wi-Fi fingerprinting positioning

P Chen, X Zheng, F Gu, J Shang

Future Generation Computer Systems, 2020

HTrack : An Efficient Heading-Aided Map Matching for Indoor Localization and Tracking

Y Wu, P Chen, F Gu, X Zheng, J Shang

IEEE Sensors Journal, 2019

Explaining deep learning models for age-related gait classification based on time-series acceleration

Oral, ISB, Fokuoka Japan, 2023

Deep learning for age-related gait patterns classification based on raw accelerometer signal from 3 minutes walking

Oral, ISPGR, Brisbane Australia, 2023

Physical activity patterns of patients with chronic low back pain and central sensitization: insights from a machine learning method

Oral, BME, Egmond aan Zee The Netherlands, 2023

Effects of level of central sensitization on physical activity patterns in chronic low back pain: insights from a machine learning approach

Oral, ISPGR, Online, 2022

Physical Activity Levels of Patients with Chronic Low Back Pain and Central Sensitization: Insights from A Machine Learning Method

Oral, ICAMPAM, Online, 2022

Exploring Effects of Central Sensitization on Gait in Chronic Low Back Pain by Machine Learning

Oral, PA!N Congres 2021, Online, 2021

Establishing Central Sensitization Inventory Cutoff-Scores in Chronic Low Back Pain Population by Deep Learning

Oral, PA!N Congres 2021, Online, 2021

Classification of Patients With Chronic Low Back Pain and High or Low Central Sensitization by Gait Outcomes Using Machine Learning Methods

Oral, BME 2021, Online, 2021

HMM-based Map Matching by Long and Short Distance for Wi-Fi Fingerprinting Indoor Localization

Poster, CPGIS2018, Kunming China, 2018