Dr. Jiao received his PhD in Statistics from the University of California, Davis in 2019. Before joining City University of Hong Kong (CityU), he worked as a postdoctoral scholar at King Abdullah University of Science and Technology (KAUST), where he developed functional data tenhniques for analyzing neuroimaging data. His research lies at the intersection of functional data analysis (FDA) and deep learning, with a focus on developing innovative statistical tools for high-dimensional and functional datasets.
Currently, Dr. Jiao is working on novel statistical methods for analyzing the connectivity structure of multi-group functional data, with applications in neuroscience, biomedical imaging, gait analysis, and other scientific domains. Additionally, he is developing advanced diffusion models tailored for functional objects, aiming to enhance generative modeling and uncertainty quantification in infinite-dimensional spaces. His work bridges theoretical statistics with computational advancements, contributing to both methodological developments and practical data-driven solutions.
Research Grants
- Filtration Analysis in Multivariate Functional Data Models, Young Scientists Fund, National Natural Science Foundation of China (NSFC), Jan 2026 - Dec 2028, Shuhao JIAO (PI).
Journal
- Jiao, Shuhao. & Mckeague, Ian. (2025). Coefficient Shape Transfer Learning for Functional Linear Regression. arXiv preprint. doi:arXiv:2506.11367
- Jiao, Shuhao. , Chan, Ngai-Hang. & Yau, Chun-Yip. (2025). Enhanced Change Point Detection in Functional Means. Statistica Sinica. 35/2. 873 - 896. doi:10.5705/ss.202022.0312
- Jiao, Shuhao. , Ombao, Hernando. & Mckeague, Ian. (2025). Filtrated Kinematic Connectivity Analysis for Lower‑limb Joint Effective Age Evaluation. arXiv preprint. doi:arXiv:2506.11369
- Jiao, Shuhao. & Chan, Ngai-Hang. (2024). Coefficient Shape Alignment in Multivariate Functional Regression. Journal of the American Statistical Association. (online). doi:10.1080/01621459.2024.2422115
- Jiao, Shuhao. , Frostig, Ron. & Ombao, Hernando. (2024). Filtrated Common Functional Principal Component Analysis for Multi-group Functional Data. Annals of Applied Statistics. 18/2. 1160 - 1177. doi:10.1214/23-AOAS1827
- Jiao, Shuhao. , Frostig, Ron. & Ombao, Hernando. (2023). Break Point Detection for Functional Covariance. Scandinavia Journal of Statistics. 50/2. 477 - 512.
- Jiao, Shuhao. , Aue, Alexander. & Ombao, Hernando. (2023). Functional Time Series Prediction Under Partial Observation of the Future Curve. Journal of the American Statistical Association. 118/541. 315 - 316.
- Jiao, Shuhao. , Frostig, Ron. & Ombao, Hernando. (2023). Variation Pattern Classification of Functional Data. Canadian Journal of Statistics. 51/4. 943 - 958.
- Jiao, Shuhao. & Ombao, Hernando. (2021). Shape-preserving Prediction for Stationary Functional Time Series. Electronic Journal of Statistics. 15/2. 3996 - 4026.
Working papers
- Functional Diffusion Model
- Group Structure Learning in Additive Functional Regression via Neural Networks
- Filtrated Functional Data Classification
Last update date :
15 Oct 2025
