Research Papers
(# indicates authors contributed equally or authors are listed in alphabetical order; @ indicates students mentored by me )
Statistical Methods & Theory:
Zhang, Z., Yu, X., and Li, R. (in press).
A novel approach of high dimensional linear hypothesis testing problem. (link, pdf).
Journal of the American Statistical Association (JASA).
Yu, X., Zhang, L., Srinivasan, A., Xie, M.-G., and Xue, L. (2025).
A unified combination framework for dependent tests with applications to microbiome association studies. (link, pdf, code).
Biometrics.
# Li, D., # Xue, L., # Yang, H., and # Yu, X. (2025).
Power-enhanced two-sample mean tests for high-dimensional microbiome compositional data. (link, pdf).
Biometrics.
Yu, X., Li, D., and Xue, L. (2024).
Fisher's combined probability test for high-dimensional covariance matrices. (link, pdf, code).
Journal of the American Statistical Association (JASA).
Yu, X., Yao, J., and Xue, L. (2024).
Power enhancement for testing multi-factor asset pricing models via Fisher's method. (link, pdf).
Journal of Econometrics (JoE).
Liu, W., Yu, X., Zhong, W., and Li, R. (2024).
Projection test for mean vector in high-dimensions. (link, pdf, code).
Journal of the American Statistical Association (JASA).
Yu, X., Li, D., Xue, L., and Li, R. (2023).
Power-enhanced simultaneous test of high-dimensional mean vectors and covariance matrices with application to gene-set testing. (link, pdf, code).
Journal of the American Statistical Association (JASA).
Liu, W., Yu, X., and Li, R. (2022).
Multiple-splitting projection test for high dimensional mean vectors. (link, pdf, code).
Journal of Machine Learning Research (JMLR).
# Luo, W., # Xue, L., # Yao, J., and # Yu, X. (2022).
Inverse moment methods for sufficient forecasting using high-dimensional predictors. (link, pdf, code).
Biometrika.
Yu, X., Yao, J., and Xue, L. (2022).
Nonparametric estimation and conformal inference of sufficient forecasting with a diverging number of factors. (link, pdf, code).
[ Winner of 2018 ASA Business and Economic Statistics Best Student Paper Award ].
Journal of Business & Economic Statistics (JBES).
Statistical Machine Learning & Applications:
@ Zhou, G., Han, Y., and Yu, X. (2025).
Factor Augmented Tensor-on-Tensor Neural Networks. (link, pdf).
AAAI 2025. [Acceptance rate: 23.4%]
# Zhang, C. , # Yu, X., and Zhang, B. (2024).
Assessment of supervised longitudinal learning methods: Insights from predicting low birth weight and very low birth weight using prenatal ultrasound measurements. (link, pdf).
Computers in Biology and Medicine. [Impact factor: 7.0]
# Nandy, P. , # Yu, X., Liu, W., Tu, Y., Basu, K., and Chatterjee, S. (2023).
Generalized causal tree for uplift modeling. (link, pdf, code).
IEEE BigData 2023. [Acceptance rate: 17.5%]
Liu, W., Yu, X., Mao, J., Wu, X., and Dyer, J. (2023).
Quantifying the effectiveness of marketing campaigns: a bootstrap proportion test for brand lift testing. (link, pdf, code).
CIKM 2023. [Acceptance rate: 24%]