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), University of Leicester
Fingerprint
Dive into the research topics where Zexun Chen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
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
-
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
-
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
-
Remarks on multivariate Gaussian Process
Chen, Z., Fan, J. & Wang, K., 19 Oct 2020, 11 p.Research output: Working paper › Preprint
Activities
- 1 Membership of network
-
Royal Statistical Society (External organisation)
Zexun Chen (Advisor)
2018Activity: Membership types › Membership of network
-
-
Interpretable and Scalable DataDriven Models in Financial Time Series Analysis
Chen, Z. & Shi, H.
1/12/21 → 30/06/22
Project: Research