Jian Qing Shi

According to our database, Jian Qing Shi authored at least 21 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Synthetic data & the future of Women's Health: A synergistic relationship.

Gayathri Delanerolle, Peter Phiri, Heitor Cavalini, David Benfield, Ashish Shetty, Yassine Bouchareb, Jian Qing Shi, Alain B. Zemkoho

Int. J. Medical Informatics, November, 2023

Editorial for the 2nd special issue on high-dimensional and functional data analysis.

Jeng-Min Chiou, Frédéric Ferraty, Jeff Goldsmith, Debashis Paul, Jian Qing Shi

Comput. Stat. Data Anal., August, 2023

Designing compact features for remote stroke rehabilitation monitoring using wearable accelerometers.

Xi Chen, Yu Guan, Jian Qing Shi, Xiu-Li Du, Janet A. Eyre

CCF Trans. Pervasive Comput. Interact., June, 2023

Joint classification and prediction of random curves using heavy-tailed process functional regression.

Chunzheng Cao, Xin Liu, Shuren Cao, Jian Qing Shi

Pattern Recognit., April, 2023

2022

A systematic review and meta-analysis of digital application use in clinical research in pain medicine.

Ashish Shetty, Gayathri Delanerolle, Yutian Zeng, Jian Qing Shi, Rawan Ebrahim, Joanna Pang, Dharani Hapangama, Martin Sillem, Suchith Shetty, Balakrishnan Shetty, Martin Hirsch, Vanessa Raymont, Kingshuk Majumder, Sam Chong, William Goodison, Rebecca O'hara, Louise Hull, Nicola Pluchino, Naresh Shetty, Sohier Elneil, Tacson Fernandez, Robert M. Brownstone, Peter Phiri

Frontiers Digit. Health, 2022

Editorial: Bayesian Inference and AI.

Niansheng Tang, Catherine Liu, Jian Qing Shi, Yangxin Huang

Frontiers Big Data, 2022

2021

Estimation and prediction of a generalized mixed-effects model with t-process for longitudinal correlated binary data.

Chunzheng Cao, Ming He, Jian Qing Shi, Xin Liu

Comput. Stat., 2021

A general robust t-process regression model.

Zhanfeng Wang, Maengseok Noh, Youngjo Lee, Jian Qing Shi

Comput. Stat. Data Anal., 2021

Towards Automated Fatigue Assessment using Wearable Sensing and Mixed-Effects Models.

Yang Bai, Yu Guan, Jian Qing Shi, Wan-Fai Ng

Proceedings of the ISWC 2021: Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021

2020

Nonlinear mixed-effects scalar-on-function models and variable selection.

Yafeng Cheng, Jian Qing Shi, Janet A. Eyre

Stat. Comput., 2020

Automated Stroke Rehabilitation Assessment using Wearable Accelerometers in Free-Living Environments.

Xi Chen, Yu Guan, Jian Qing Shi, Xiu-Li Du, Janet A. Eyre

CoRR, 2020

Robust Task Learning Based on Nonlinear Regression With Mixtures of Student-t Distributions.

Chunzheng Cao, Ziyue Wang, Jian Qing Shi, Yunjie Chen

IEEE Access, 2020

2019

Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease.

Rana Zia Ur Rehman, Silvia Del Din, Jian Qing Shi, Brook Galna, Sue Lord, Alison J. Yarnall, Yu Guan, Lynn Rochester

Sensors, 2019

Remote monitoring of stroke patients' rehabilitation using wearable accelerometers.

Shane Halloran, Lin Tang, Yu Guan, Jian Qing Shi, Janet A. Eyre

Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019

2018

Heteroscedastic replicated measurement error models under asymmetric heavy-tailed distributions.

Chunzheng Cao, Mengqian Chen, Yahui Wang, Jian Qing Shi

Comput. Stat., 2018

Remote Cloud-Based Automated Stroke Rehabilitation Assessment Using Wearables.

Shane Halloran, Jian Qing Shi, Yu Guan, Xi Chen, Michael Dunne-Willows, Janet A. Eyre

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2013

Evaluating Functional Ability of Upper Limbs after Stroke Using Video Game Data.

Jian Qing Shi, Y. Cheng, J. Serradilla, Graham Morgan, C. Lambden, Gary A. Ford, Christopher Price, Helen Rodgers, T. Cassidy, Lynn Rochester, Janet A. Eyre

Proceedings of the Brain and Health Informatics - International Conference, 2013

2010

Approximate conditional inference in mixed-effects models with binary data.

Woojoo Lee, Jian Qing Shi, Youngjo Lee

Comput. Stat. Data Anal., 2010

2008

Curve prediction and clustering with mixtures of Gaussian process functional regression models.

Jian Qing Shi, B. Wang

Stat. Comput., 2008

2005

Hierarchical Gaussian process mixtures for regression.

Jian Qing Shi, Roderick Murray-Smith, D. M. Titterington

Stat. Comput., 2005

2003

Filtered Gaussian Processes for Learning with Large Data-Sets.

Jian Qing Shi, Roderick Murray-Smith, D. M. Titterington, Barak A. Pearlmutter

Proceedings of the Switching and Learning in Feedback Systems, 2003