Overview
Background
I am a Senior Lecturer in Mathematical Data Science, at School of Mathematics and Physics, The University of Queensland. I obtained my BSc degree in Mathematics and Applied Mathematics, from Beijing Normal University in 2006. I obtained my MPhil and PhD degrees from City University of Hong Kong in 2008 and 2011 respectively, where I was working as a research fellow from Oct 2011 to Feb 2013. During Feb 2013 -- Aug 2014, I was working as a postdoctoral associate at Department of Statistical Science, Duke University. Before joining UQ in Jan 2022, I worked at Hong Kong Polytechnic University. My research interests cover statistical learning theory (kernel methods, stochastic gradient methods, support vector machine, pairwise learning, online learning, error analysis, sparsity analysis, and the implementation of algorithms), mathematical data science, and their applications to artificial intelligence, immunological bioinformatics, systems biology, and computational social science.
Availability
- Dr Xin Guo is:
- Available for supervision
Fields of research
Qualifications
- Doctor of Philosophy of Applied Mathematics, City University of Hong Kong
Research interests
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machine learning theory
kernel methods, stochastic gradient methods, support vector machine, pairwise learning, online learning, error analysis, sparsity analysis, and the implementation of algorithms
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mathematical data science
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computational social science
Works
Search Professor Xin Guo’s works on UQ eSpace
2024
Journal Article
Learning with centered reproducing kernels
Wang, Chendi, Guo, Xin and Wu, Qiang (2024). Learning with centered reproducing kernels. Analysis and Applications, 22 (03), 507-534. doi: 10.1142/S0219530523400018
2024
Conference Publication
On the asymptotic distribution of the minimum empirical risk
Westerhout, Jacob, Nguyen, TrungTin, Guo, Xin and Nguyen, Hien Duy (2024). On the asymptotic distribution of the minimum empirical risk. 41st International Conference on Machine Learning, Vienna, Austria, 21-27 July 2024. ML Research Press.
2023
Journal Article
Gone with the weed: incidents of adolescent marijuana use in the United States, 1976-2021
Gu, Jiaxin, Guo, Xin, Liu, Xiaoxi, Yuan, Yue, Zhu, Yushu, Chen, Minheng, Zhou, Tian-Yi and Fu, Qiang (2023). Gone with the weed: incidents of adolescent marijuana use in the United States, 1976-2021. Annals of Epidemiology, 88, 23-29. doi: 10.1016/j.annepidem.2023.10.002
2023
Journal Article
Capacity dependent analysis for functional online learning algorithms
Guo, Xin, Guo, Zheng-Chu and Shi, Lei (2023). Capacity dependent analysis for functional online learning algorithms. Applied and Computational Harmonic Analysis, 67 101567, 101567. doi: 10.1016/j.acha.2023.06.002
2022
Journal Article
The design and optimality of survey counts: a unified framework via the Fisher Information Maximizer
Guo, Xin and Fu, Qiang (2022). The design and optimality of survey counts: a unified framework via the Fisher Information Maximizer. Sociological Methods & Research, 53 (3), 004912412211138-1349. doi: 10.1177/00491241221113877
2022
Journal Article
Rates of convergence of randomized Kaczmarz algorithms in Hilbert spaces
Guo, Xin, Lin, Junhong and Zhou, Ding-Xuan (2022). Rates of convergence of randomized Kaczmarz algorithms in Hilbert spaces. Applied and Computational Harmonic Analysis, 61, 288-318. doi: 10.1016/j.acha.2022.07.005
2022
Journal Article
Online gradient descent algorithms for functional data learning
Chen, Xiaming, Tang, Bohao, Fan, Jun and Guo, Xin (2022). Online gradient descent algorithms for functional data learning. Journal of Complexity, 70 101635, 101635. doi: 10.1016/j.jco.2021.101635
2022
Journal Article
Sleeping lion or sick man? Machine learning approaches to deciphering heterogeneous images of Chinese in North America
Fu, Qiang, Zhuang, Yufan, Zhu, Yushu and Guo, Xin (2022). Sleeping lion or sick man? Machine learning approaches to deciphering heterogeneous images of Chinese in North America. Annals of the American Association of Geographers, 112 (7), 2045-2063. doi: 10.1080/24694452.2022.2042180
2022
Journal Article
Detecting temporal anomalies with pseudo age groups: homeownership in Canada, 1981 to 2016
Yuan, Yue, Gu, Jiaxin, Guo, Xin, Zhu, Yushu and Fu, Qiang (2022). Detecting temporal anomalies with pseudo age groups: homeownership in Canada, 1981 to 2016. Population, Space and Place, 28 (1) e2532, 1-18. doi: 10.1002/psp.2532
2021
Journal Article
Modified Poisson regression analysis of grouped and right-censored counts
Fu, Qiang, Zhou, Tian-Yi and Guo, Xin (2021). Modified Poisson regression analysis of grouped and right-censored counts. Journal of the Royal Statistical Society. Series A: Statistics in Society, 184 (4), 1347-1367. doi: 10.1111/rssa.12678
2021
Journal Article
Adolescent marijuana use in the United States and structural breaks: an age-period-cohort analysis, 1991–2018
Gu, Jiaxin, Guo, Xin, Veenstra, Gerry, Zhu, Yushu and Fu, Qiang (2021). Adolescent marijuana use in the United States and structural breaks: an age-period-cohort analysis, 1991–2018. American Journal of Epidemiology, 190 (6), 1056-1063. doi: 10.1093/aje/kwaa269
2021
Journal Article
Agreeing to disagree: choosing among eight topic-modeling methods
Fu, Qiang, Zhuang, Yufan, Gu, Jiaxin, Zhu, Yushu and Guo, Xin (2021). Agreeing to disagree: choosing among eight topic-modeling methods. Big Data Research, 23 100173, 100173. doi: 10.1016/j.bdr.2020.100173
2021
Journal Article
The uses and abuses of an age-period-cohort method: on the linear algebra and statistical properties of intrinsic and related estimators
Fu, Qiang, Guo, Xin, Jeon, Sun Young, Reither, Eric N., Zang, Emma and Land, Kenneth C. (2021). The uses and abuses of an age-period-cohort method: on the linear algebra and statistical properties of intrinsic and related estimators. Mathematical Foundations of Computing, 4 (1), 45-59. doi: 10.3934/mfc.2021001
2020
Journal Article
Preface of the special issue on analysis in data science: methods and applications
Guo, Xin and Shi, Lei (2020). Preface of the special issue on analysis in data science: methods and applications. Mathematical Foundations of Computing, 3 (4), i-ii. doi: 10.3934/mfc.2020026
2020
Journal Article
Modeling interactive components by coordinate kernel polynomial models
Guo, Xin, Li, Lexin and Wu, Qiang (2020). Modeling interactive components by coordinate kernel polynomial models. Mathematical Foundations of Computing, 3 (4), 263-277. doi: 10.3934/mfc.2020010
2020
Journal Article
A numerical method to compute Fisher information for a special case of heterogeneous negative binomial regression
Guo, Xin, Fu, Qiang, Wang, Yue and Land, Kenneth C. (2020). A numerical method to compute Fisher information for a special case of heterogeneous negative binomial regression. Communications on Pure and Applied Analysis, 19 (8), 4179-4189. doi: 10.3934/cpaa.2020187
2020
Journal Article
Optimizing count responses in surveys: a machine-learning approach
Fu, Qiang, Guo, Xin and Land, Kenneth C. (2020). Optimizing count responses in surveys: a machine-learning approach. Sociological Methods and Research, 49 (3), 637-671. doi: 10.1177/0049124117747302
2020
Journal Article
Distributed minimum error entropy algorithms
Guo, Xin, Hu, Ting and Wu, Qiang (2020). Distributed minimum error entropy algorithms. Journal of Machine Learning Research, 21, 1-31.
2019
Conference Publication
Search for K: assessing five topic-modeling approaches to 120,000 Canadian articles
Fu, Qiang, Zhuang, Yufan, Gu, Jiaxin, Zhu, Yushu, Qin, Huihui and Guo, Xin (2019). Search for K: assessing five topic-modeling approaches to 120,000 Canadian articles. 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA United States, 9-12 December 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/BigData47090.2019.9006160
2019
Journal Article
Semi-supervised learning with summary statistics
Qin, Huihui and Guo, Xin (2019). Semi-supervised learning with summary statistics. Analysis and Applications, 17 (5), 837-851. doi: 10.1142/S0219530519400037
Funding
Current funding
Supervision
Availability
- Dr Xin Guo is:
- Available for supervision
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Supervision history
Current supervision
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Doctor Philosophy
Investigating the properties of stochastic Majorization-Minimization algorithms and their variants
Principal Advisor
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Doctor Philosophy
Pairwise learning with artificial neural networks
Principal Advisor
Media
Enquiries
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