Jian Qing Shi

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 17

Top Topics

Top Venues

Comput. Stat. Data Anal.

Publications

Chunzheng Cao, Xin Liu, Shuren Cao, Jian Qing Shi
Joint classification and prediction of random curves using heavy-tailed process functional regression. Pattern Recognit. 136 (2023)
Gayathri Delanerolle, Peter Phiri, Heitor Cavalini, David Benfield, Ashish Shetty, Yassine Bouchareb, Jian Qing Shi, Alain B. Zemkoho
Synthetic data & the future of Women's Health: A synergistic relationship. Int. J. Medical Informatics 179 (2023)
Xi Chen, Yu Guan, Jian Qing Shi, Xiu-Li Du, Janet A. Eyre
Designing compact features for remote stroke rehabilitation monitoring using wearable accelerometers. CCF Trans. Pervasive Comput. Interact. 5 (2) (2023)
Jeng-Min Chiou, Frédéric Ferraty, Jeff Goldsmith, Debashis Paul, Jian Qing Shi
Editorial for the 2nd special issue on high-dimensional and functional data analysis. Comput. Stat. Data Anal. 184 (2023)
Niansheng Tang, Catherine Liu, Jian Qing Shi, Yangxin Huang
Editorial: Bayesian Inference and AI. Frontiers Big Data 5 (2022)
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
A systematic review and meta-analysis of digital application use in clinical research in pain medicine. Frontiers Digit. Health 4 (2022)
Yang Bai, Yu Guan, Jian Qing Shi, Wan-Fai Ng
Towards Automated Fatigue Assessment using Wearable Sensing and Mixed-Effects Models. ISWC (2021)
Chunzheng Cao, Ming He, Jian Qing Shi, Xin Liu
Estimation and prediction of a generalized mixed-effects model with t-process for longitudinal correlated binary data. Comput. Stat. 36 (2) (2021)
Yang Bai, Yu Guan, Jian Qing Shi, Wan-Fai Ng
Towards Automated Fatigue Assessment using Wearable Sensing and Mixed-Effects Models. CoRR (2021)
Zhanfeng Wang, Maengseok Noh, Youngjo Lee, Jian Qing Shi
A general robust t-process regression model. Comput. Stat. Data Anal. 154 (2021)
Xi Chen, Yu Guan, Jian Qing Shi, Xiu-Li Du, Janet A. Eyre
Automated Stroke Rehabilitation Assessment using Wearable Accelerometers in Free-Living Environments. CoRR (2020)
Chunzheng Cao, Ziyue Wang, Jian Qing Shi, Yunjie Chen
Robust Task Learning Based on Nonlinear Regression With Mixtures of Student-t Distributions. IEEE Access 8 (2020)
Yafeng Cheng, Jian Qing Shi, Janet A. Eyre
Nonlinear mixed-effects scalar-on-function models and variable selection. Stat. Comput. 30 (1) (2020)
Shane Halloran, Lin Tang, Yu Guan, Jian Qing Shi, Janet A. Eyre
Remote monitoring of stroke patients' rehabilitation using wearable accelerometers. UbiComp (2019)
Rana Zia Ur Rehman, Silvia Del Din, Jian Qing Shi, Brook Galna, Sue Lord, Alison J. Yarnall, Yu Guan, Lynn Rochester
Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease. Sensors 19 (24) (2019)
Chunzheng Cao, Mengqian Chen, Yahui Wang, Jian Qing Shi
Heteroscedastic replicated measurement error models under asymmetric heavy-tailed distributions. Comput. Stat. 33 (1) (2018)
Shane Halloran, Jian Qing Shi, Yu Guan, Xi Chen, Michael Dunne-Willows, Janet A. Eyre
Remote Cloud-Based Automated Stroke Rehabilitation Assessment Using Wearables. eScience (2018)
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
Evaluating Functional Ability of Upper Limbs after Stroke Using Video Game Data. Brain and Health Informatics (2013)
Woojoo Lee, Jian Qing Shi, Youngjo Lee
Approximate conditional inference in mixed-effects models with binary data. Comput. Stat. Data Anal. 54 (1) (2010)
Jian Qing Shi, B. Wang
Curve prediction and clustering with mixtures of Gaussian process functional regression models. Stat. Comput. 18 (3) (2008)
Jian Qing Shi, Roderick Murray-Smith, D. M. Titterington
Hierarchical Gaussian process mixtures for regression. Stat. Comput. 15 (1) (2005)
Jian Qing Shi, Roderick Murray-Smith, D. M. Titterington, Barak A. Pearlmutter
Filtered Gaussian Processes for Learning with Large Data-Sets. European Summer School on Multi-AgentControl (2003)