Research

Research Interests

• Human mobility, spatio-temporal predictive model

• Ethical machine learning, Gaussian process classification

• Gaussian process regression, Student-t process regression, time series, stock market prediction, kernel selection

• Ordinary differential equation, Sturm-Louivle problem, eigenvalue problem

Selected Publications

1. Chen, Zexun, et al. "Contrasting social and non-social sources of predictability in human mobility. " arXiv preprint arXiv:2104.13282 (2021).
   

2. Chen, Zexun, Jun Fan, and Kuo Wang. "Remarks on multivariate Gaussian Process. " arXiv preprint arXiv:2010.09830 (2020).
   

3. Kehrenberg, Thomas, Zexun Chen, and Novi Quadrianto. "Tuning Fairness by Balancing Target Labels. " Frontiers in Artificial Intelligence 3 (2020):33.
   

4. Chen, Zexun, Bo Wang, and Alexander N. Gorban. "Multivariate Gaussian and Student-t process regression for multi-output prediction. " Neural Computing and Applications (2019): 1-24.
   

5. Chen, Zexun, and Bo Wang "How priors of initial hyperparameters affect Gaussian process regression models. " Neurocomputing 275 (2018): 1702-1710.
   

Invited Talks

• “Probabilistic modelling: Gaussian Process forMachine Learning.” The 3rd DUT Xinghai International Forum for Young Scholars, Dalian University of Technology (DUT), online webinar, China. June 8, 2020.

• “Gaussian Process forMachine Learning.” Shandong University,Weihai, China. December 9, 2019.

• “How Priors of Initial Hyperparameters affect Gaussian Process RegressionModel.” The 38th Research Students’ Conference in Probability and Statistics. Leeds, UK. August 4, 2015

Professional Service

• Journal Peer Reviewer: Technometrics, Environmental Modelling & Software, Transportation Research Part C: Emerging Technologies

• Conference Reviewer: Association for the Advancement of Artificial Intelligence (AAAI)

Membership

• Member of International Statistical Institute (ISI)

• Fellow of Royal Statistical Society (RSS)