Interpretable Fairness via Target Labels in Gaussian Process Models. - Thomas Kehrenberg; Zexun Chen; Novi Quadrianto (CoRR, 2018)

How priors of initial hyperparameters affect Gaussian process regression models. - Zexun Chen; Bo Wang (Neurocomputing, 2018)

Tuning Fairness by Balancing Target Labels. - Thomas Kehrenberg; Zexun Chen; Novi Quadrianto (Frontiers Artif. Intell., 2020)

Multivariate Gaussian and Student-t process regression for multi-output prediction. - Zexun Chen; Bo Wang; Alexander N. Gorban (Neural Comput. Appl., 2020)

Correction to: Multivariate Gaussian and Student-t process regression for multi-output prediction. - Zexun Chen; Bo Wang; Alexander N. Gorban (Neural Comput. Appl., 2020)

Contrasting social and non-social sources of predictability in human mobility. - Zexun Chen; Sean Kelty; Brooke Foucault Welles; James P. Bagrow; Ronaldo Menezes; Gourab Ghoshal (CoRR, 2021)

Predictability states in human mobility. - Diogo Ferreira Pacheco; Marcos A. C. Oliveira; Zexun Chen; Hugo Barbosa; Brooke Foucault Welles; Gourab Ghoshal; Ronaldo Menezes (CoRR, 2022)

Peer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing. - Shiqi Fang; Zexun Chen; Jake Ansell (CoRR, 2024)

A framework for modeling and optimization of mechanical equipment considering maintenance cost and dynamic reliability via deep reinforcement learning. - Jianhui Yuan; Yaguo Lei; Naipeng Li; Bin Yang 014; Xiang Li 018; Zexun Chen; Wei Han (Reliab. Eng. Syst. Saf., 2025)