About Me

I am Xinyu Zhang, an Associate Professor in the School of Statistics in East China Normal University. I obtained my PhD from the Center for Statistical Science at Tsinghua University, where I was advised by Dr. Dong Li and Dr. Howell Tong. I have worked as a Postdoctoral Research Scholar in the Department of Statistics and Actuarial Science at The University of Iowa under the mentorship of Dr. Kung-Sik Chan.

My research interests include high-dimensional inference, change point detection, nonlinear time series analysis, frequency domain analysis, and bootstrap methods, as well as matrix and tensor data analysis. I also collaborate closely with scientists in the health sciences and have been working on projects involving brain data, lung radiology data, and more.

My work email address is xyzhang at sfs dot ecnu dot edu dot cn.

Education

• 2017/09 to 2022/06: PhD in Statistics, Tsinghua University.
• 2013/09 to 2017/07: B.S. in Statistics, Renmin University of China.
• 2013/09 to 2017/07: B.Ec. in Economic Statistics, Renmin University of China.

Publications in Statistics

(* indicates corresponding author)

• Zhang, X. and Chan, K. S. (2025) Spectral change point estimation for high dimensional time series by sparse tensor decomposition. Journal of the Royal Statistical Society: Series B. In press.
• Zhang, X. and Li, D. (2024). Smooth transition moving average models: Estimation, testing, and computation. Journal of Time Series Analysis. 45(3), 463-478.
• Zhang, X., Li, D. and Tong, H. (2024). On the least squares estimation of multiple-threshold-variable autoregressive models. Journal of Business and Economic Statistics. 42(1), 215-228.
• Zhang, X. and Tong, H. (2022). Asymptotic theory of principal component analysis for time series data with cautionary comments. Journal of the Royal Statistical Society: Series A. 185(2), 543–565.

Publications in Interdisciplinary Research

• Nadeem, S.A., Zhang, X., Chan, K.S., Regan, E.A., Barr, R.G.G., Hoffman, E.A., Fain, S.B., Comellas, A.P. and Saha, P.K.. (2025). CT-based Lung Inflation-related Radial and Longitudinal Airway Expansion Biomarkers in COPD. American Journal of Respiratory and Critical Care Medicine, 211(Abstracts), pp.A3373-A3373.
• Liu, Y., Zhang, X., Zhang, X., Nadeem, S.A., Chan, K.S., Regan, E.A., Barr, R.G.G., Hoffman, E.A., Fain, S.B., Comellas, A.P. and Saha, P.K. (2025). Respiratory Mechanical Biomarkers of the Diaphragm and Chest Wall in COPD Using Inspiratory and Expiratory CT. American Journal of Respiratory and Critical Care Medicine, 211(Abstracts), pp.A3358-A3358.
• Nadeem, S. A., Zhang, X., Nagpal P., Hoffman, E. A., Chan, K. S., Comellas, A. P., and Saha, P. K. (2024). Automated CT-based decoupling of the effects of airway narrowing and wall thinning on airway counts in chronic obstructive pulmonary disease. British Journal of Radiology. tqae211.
• Armstrong, M. K., Jain, S., Nuckols, V., Pewowaruk, R., Zhang, X., DuBose, L., Sodoma, M., Madero, B., Voss, M. W., and Pierce, G. L. (2024). The association of structural versus load-dependent large artery stiffness mechanisms with cerebrovascular damage and cortical atrophy in humans. GeroScience. 46, 5587–5597.
• Nadeem, S. A., Zhang, X., Chan, K. S., Hoffman, E. A., Comellas, A. P., and Saha, P. K. (2023). New CT-based metrics of rib cage dynamics between inspiration and expiration reveal accelerated aging in COPD among smokers. In C29. MORE THAN MEETS THE EYE: ADVANCED LUNG IMAGING (pp. A4716-A4716). American Thoracic Society.