Dr Archer Gong Zhang
- Lecturer in Statistics and Data Analytics (Statistics)
email:
Archer.Zhang@glasgow.ac.uk
pronouns:
He/him/his
https://orcid.org/0000-0001-9943-3743Biography
Prior to my role at the University of Glasgow, I was a Departmental Postdoctoral Fellow in the Department of Statistical Sciences at the University of Toronto, where I worked with Dr. Nancy Reid and Dr. Qiang Sun. I got my PhD from the Department of Statistics at the University of British Columbia, under the supervision of Dr. Jiahua Chen.
My personal webpage: https://gozhang.github.io/.
Research interests
I am broadly interested in the theoretical and methodological aspects of Statistics. My current research centres on problems related to data integration and distribution shift. In particular, I study how to make efficient inferences using data collected from multiple sources, where the underlying populations are interconnected and share a common latent structure. A substantial part of my work focuses on inference under a semiparametric model known as the Density Ratio Model, which is closely related to biased sampling, exponential tilting, and proportional likelihood ratio models. I also work on nonparametric methods such as Empirical Likelihood.
Beyond these areas, I have a strong interest in causal inference and in the statistical aspects of machine learning, with a particular focus on transfer learning and related challenges involving distributional shift.
Research groups
Publications
2025
Zhang, Archer Gong 
ORCID: https://orcid.org/0000-0001-9943-3743 and McVittie, James Hugh
(2025)
Density ratio model for multiple types of survival data with empirical likelihood.
arXiv,
(doi: 10.48550/arXiv.2511.09398)
Sun, Qiang, Zhang, Archer Gong ORCID: https://orcid.org/0000-0001-9943-3743, Liu, Chenyu and Tan, Kean Ming
(2025)
Resistant convex clustering: how does the fusion penalty enhance resistance?
Electronic Journal of Statistics, 19(1),
pp. 1199-1230.
(doi: 10.1214/25-EJS2359)
2024
Zhang, Qiong, Zhang, Archer Gong ORCID: https://orcid.org/0000-0001-9943-3743 and Chen, Jiahua
(2024)
Gaussian mixture reduction with composite transportation divergence.
IEEE Transactions on Information Theory, 70(7),
pp. 5191-5212.
(doi: 10.1109/TIT.2023.3323346)
2022
Zhang, Archer Gong ORCID: https://orcid.org/0000-0001-9943-3743 and Chen, Jiahua
(2022)
Density ratio model with data-adaptive basis function.
Journal of Multivariate Analysis, 191,
105043.
(doi: 10.1016/j.jmva.2022.105043)
2021
Zhang, Archer Gong ORCID: https://orcid.org/0000-0001-9943-3743, Zhu, Guangyu and Chen, Jiahua
(2021)
Empirical likelihood ratio test on quantiles under a density ratio model.
Electronic Journal of Statistics, 15(2),
pp. 6191-6227.
(doi: 10.1214/21-EJS1943)
Articles
Zhang, Archer Gong ORCID: https://orcid.org/0000-0001-9943-3743 and McVittie, James Hugh
(2025)
Density ratio model for multiple types of survival data with empirical likelihood.
arXiv,
(doi: 10.48550/arXiv.2511.09398)
Sun, Qiang, Zhang, Archer Gong ORCID: https://orcid.org/0000-0001-9943-3743, Liu, Chenyu and Tan, Kean Ming
(2025)
Resistant convex clustering: how does the fusion penalty enhance resistance?
Electronic Journal of Statistics, 19(1),
pp. 1199-1230.
(doi: 10.1214/25-EJS2359)
Zhang, Qiong, Zhang, Archer Gong ORCID: https://orcid.org/0000-0001-9943-3743 and Chen, Jiahua
(2024)
Gaussian mixture reduction with composite transportation divergence.
IEEE Transactions on Information Theory, 70(7),
pp. 5191-5212.
(doi: 10.1109/TIT.2023.3323346)
Zhang, Archer Gong ORCID: https://orcid.org/0000-0001-9943-3743 and Chen, Jiahua
(2022)
Density ratio model with data-adaptive basis function.
Journal of Multivariate Analysis, 191,
105043.
(doi: 10.1016/j.jmva.2022.105043)
Zhang, Archer Gong ORCID: https://orcid.org/0000-0001-9943-3743, Zhu, Guangyu and Chen, Jiahua
(2021)
Empirical likelihood ratio test on quantiles under a density ratio model.
Electronic Journal of Statistics, 15(2),
pp. 6191-6227.
(doi: 10.1214/21-EJS1943)
Prior publications
Article
Archer Gong Zhang, Nancy Reid, Qiang Sun (2024) A Semiparametric Approach to Causal Inference Archer Gong Zhang.
Archer Gong Zhang, Jiahua Chen (2023) Optimal Estimation under a Semiparametric Density Ratio Model Archer Gong Zhang.
Thesis
Archer Gong Zhang (2022) Semiparametric inferences under a density ratio model University of British Columbia Archer Gong Zhang. (doi: 10.14288/1.0407289)
