Dr Wenxing Guo
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Email
wg22745@essex.ac.uk -
Telephone
+44 (0) 1206 874425
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Location
3A.528, Colchester Campus
Profile
Qualifications
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Ph.D. McMaster University, (2020)
Appointments
University of Essex
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Lecturer (Assistant Professor), School of Mathematics, Statistics and Actuarial Science, University of Essex (1/11/2022 - present)
Other academic
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Postdoctoral Fellow, Department of Mathematical and Statistical Sciences, University of Alberta (25/10/2020 - 24/10/2022)
Research and professional activities
Research interests
Statistical Machine Learning
Online Learning, Federated learning, Transfer learning, Reinforcement Learning, Sparse learning.
Statistical Inference
High-dimensional inference.
Statistical Models
Multivariate regression and classification.
Teaching and supervision
Current teaching responsibilities
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Foundational Mathematics for Data Science (MA111)
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Mathematics Careers and Employability (MA199)
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Applied Statistics (MA321)
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Applied Regression and Experimental Data Analysis (MA717)
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Contingencies I (MA212)
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Commutative Algebra (MA316)
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Statistics II (MA200)
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Riemann Integration and Lebesgue Measure (MA213)
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Survival Analysis (MA216)
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Analytical Mechanics (MA222)
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Programming and Text Analytics with R (MA331)
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Modelling experimental and observational data (MA335)
Publications
Publications (1)
Guo, W., Xie, J., Lu, J., Jiang, B., Dai, H. and Kong, L., (2025). Online federated learning framework for classification
Journal articles (9)
Liu, Z., Gao, T., Lai, C-H. and Guo, W., (2024). A numerical investigation on the vibration of a two-deck Euler-Bernoulli beam flooded by a potential flow. Quarterly Journal of Mechanics and Applied Mathematics. 76 (4), 531-550
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. 39 (4), 2323-2341
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
2025
HHA Data Audit Consulting Project
Harwich Haven Authority
2023
MRC/FNR Returning Safely to high-impact activities after JOINT replacements (SafeJOINTs)
Medical Research Council