Research output per year
Research output per year
Personal profile
Biography
Before joining Edinburgh, I was a Lecturer in Computer Science at the University of Exeter. In the previous, I worked as a research fellow in the Department of Informatics, University of Sussex during the period 2017 - 2019, and as a postdoc in the Department of Computer Science, University of Exeter during the period 2019 - 2020.
Research Interests
My research interests focus on probabilistic machine modelling and non-parametric Bayesian predictive methods such as Gaussian Process and Student-t Process modelling. As their applications, I also have expertise in time series prediction, financial data analysis, algorithmic fairness, and human mobility.
Websites
Education/Academic qualification
Mathematics, Doctor of Philosophy (PhD), Gaussian process regression methods and extensions for stock market prediction, University of Leicester
College Research Themes
- Work and Economy
- Energy and Sustainability
- Data and Digital
- Future Cities
- Identities and Inequalities
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Multivariate Gaussian processes: Definitions, examples and applications
Chen, Z., Fan, J. & Wang, K., 27 Jan 2023, (E-pub ahead of print) In: METRON. 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Contrasting social and non-social sources of predictability in human mobility
Chen, Z., Kelty, S., Evsukoff, A. G., Welles, B. F., Bagrow, J., Menezes, R. & Ghoshal, G., Dec 2022, In: Nature Communications. 13, 1, 1922.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
A missing sensor measurement data reconstruction framework powered by multi-task Gaussian process regression for dam structural health monitoring systems
Li, Y., Bao, T., Chen, Z., Gao, Z., Shu, X. & Zhang, K., Dec 2021, In: Measurement: Journal of the International Measurement Confederation. 186, 110085.Research output: Contribution to journal › Article › peer-review
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A large-scale sensor missing data imputation framework for dams using deep learning and transfer learning strategy
Li, Y., Bao, T., Chen, H., Zhang, K., Shu, X., Chen, Z. & Hu, Y., Jun 2021, In: Measurement: Journal of the International Measurement Confederation. 178, 14 p., 109377.Research output: Contribution to journal › Article › peer-review
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A hybrid model integrating principal component analysis, fuzzy C-means, and Gaussian process regression for dam deformation prediction
Li, Y., Bao, T., Shu, X., Chen, Z., Gao, Z. & Zhang, K., May 2021, In: Arabian Journal for Science and Engineering. 46, 5, p. 4293-4306 14 p.Research output: Contribution to journal › Article › peer-review
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Silesian University in Opava
Zexun Chen (Chair)
24 Apr 2023 → 28 Apr 2023Activity: Visiting an external institution types › Visiting an external academic institution
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Royal Statistical Society (External organisation)
Zexun Chen (Advisor)
2018Activity: Membership types › Membership of network
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Interpretable and Scalable DataDriven Models in Financial Time Series Analysis
Chen, Z. & Shi, H.
1/12/21 → 30/06/22
Project: Research