Dr Wenxing Guo

School of Mathematics, Statistics and Actuarial Science (SMSAS)
Dr Wenxing Guo

Research and professional activities

Research interests

Statistical Machine Learning

Online Learning, Federated learning, Transfer learning, Sparse learning.

Open to supervise

Statistical Inference

High-dimensional inference.

Open to supervise

Statistical Models

Multivariate regression and classification.

Open to supervise

Teaching and supervision

Current teaching responsibilities

  • Foundational Mathematics for Data Science (MA111)

  • Mathematics Careers and Employability (MA199)

  • Statistical Methods (MA318)


Journal articles (8)

Guo, W., Balakrishnan, N. and He, M., (2023). Envelope-based sparse reduced-rank regression for multivariate linear model. Journal of Multivariate Analysis. 195, 105159-105159

Guo, W., Zhang, X., Jiang, B., Kong, L. and Hu, Y., (2023). Wavelet‑based Bayesian approximate kernel method for high‑dimensional data analysis. Computational Statistics

Guo, W., Balakrishnan, N. and Qin, S., (2023). A modified partial envelope tensor response regression. Stat. 12 (1), e615-

Guo, W., Balakrishnan, N. and Bian, M., (2021). Reduced rank regression with matrix projections for high-dimensional multivariate linear regression model. Electronic Journal of Statistics. 15 (2), 4167-4191

Guo, W., Qin, S. and Zhao, Z., (2020). Generalized ridge and principal correlation estimator of the regression coefficient in growth curve model. Linear Algebra and its Applications. 591, 115-133

Guo, W., Liu, X. and Zhang, S., (2016). The principal correlation components estimator and its optimality. Statistical Papers. 57 (3), 755-779

Tian, Y. and Guo, W., (2016). On comparison of dispersion matrices of estimators under a constrained linear model. Statistical Methods & Applications. 25 (4), 623-649

Dong, B., Guo, W. and Tian, Y., (2014). On relations between BLUEs under two transformed linear models. Journal of Multivariate Analysis. 131, 279-292

Conferences (1)

Ding, L., Yu, D., Xie, J., Guo, W., Hu, S., Liu, M., Kong, L., Dai, H., Bao, Y. and Jiang, B., (2022). Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving

Grants and funding


MRC/FNR Returning Safely to high-impact activities after JOINT replacements (SafeJOINTs)

Medical Research Council

+44 (0) 1206 874425


3A.528, Colchester Campus