On Identification of Dynamical Structure Functions: A Sparse Bayesian Learning Approach. - Junyang Jin; Wei Pan 004; Duong L. T. Pham; Ye Yuan 002; Claire J. Tomlin; Alex Webb; Jorge M. Gonçalves (CoRR, 2016)

On Identification of Sparse Multivariable ARX Model: A Sparse Bayesian Learning Approach. - Junyang Jin; Ye Yuan 002; Wei Pan 004; Duong L. T. Pham; Claire J. Tomlin; Alex Webb; Jorge M. Gonçalves (CoRR, 2016)

Identification of nonlinear sparse networks using sparse Bayesian learning. - Junyang Jin; Ye Yuan 002; Wei Pan 004; Claire J. Tomlin; Alex Webb; Jorge M. Gonçalves (CDC, 2017)

High precision variational Bayesian inference of sparse linear networks. - Junyang Jin; Ye Yuan 002; Jorge M. Gonçalves (Autom., 2020)

An interpretable mortality prediction model for COVID-19 patients. - Li Yan 007; Hai-Tao Zhang; Jorge M. Gonçalves; Yang Xiao 007; Maolin Wang; Yuqi Guo; Chuan Sun; Xiuchuan Tang; Liang Jing; Mingyang Zhang; Xiang Huang; Ying Xiao; et al. (Nat. Mach. Intell., 2020)

Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data. - Wenqian Jiang; Junyang Jin (CoRR, 2021)

Li Yan et al. reply. - Jorge M. Gonçalves; Li Yan 007; Hai-Tao Zhang; Yang Xiao 007; Maolin Wang; Yuqi Guo; Chuan Sun; Xiuchuan Tang; Zhiguo Cao 001; Shusheng Li; Hui Xu; Cheng Cheng; et al. (Nat. Mach. Intell., 2021)

A Full Bayesian Approach to Sparse Network Inference Using Heterogeneous Datasets. - Junyang Jin; Ye Yuan 002; Jorge M. Gonçalves (IEEE Trans. Autom. Control., 2021)

Bayesian Inference of Stochastic Dynamical Networks. - Yasen Wang; Junyang Jin; Jorge M. Gonçalves (CoRR, 2022)

Bayesian inference and optimisation of stochastic dynamical networks. - Xin He; Yasen Wang; Junyang Jin (Int. J. Syst. Sci., 2024)