Junyang Jin

According to our database, Junyang Jin authored at least 9 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Bayesian Inference of Stochastic Dynamical Networks.

Yasen Wang, Junyang Jin, Jorge M. Gonçalves

CoRR, 2022

2021

A Full Bayesian Approach to Sparse Network Inference Using Heterogeneous Datasets.

Junyang Jin, Ye Yuan, Jorge M. Gonçalves

IEEE Trans. Autom. Control., 2021

Li Yan et al. reply.

Jorge M. Gonçalves, Li Yan, Hai-Tao Zhang, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Zhiguo Cao, Shusheng Li, Hui Xu, Cheng Cheng, Junyang Jin, Ye Yuan

Nat. Mach. Intell., 2021

Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data.

Wenqian Jiang, Junyang Jin

CoRR, 2021

2020

An interpretable mortality prediction model for COVID-19 patients.

Li Yan, Hai-Tao Zhang, Jorge M. Gonçalves, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Liang Jing, Mingyang Zhang, Xiang Huang, Ying Xiao, Haosen Cao, Yanyan Chen, Tongxin Ren, Fang Wang, Yaru Xiao, Sufang Huang, Xi Tan, Niannian Huang, Bo Jiao, Cheng Cheng, Yong Zhang, Ailin Luo, Laurent Mombaerts, Junyang Jin, Zhiguo Cao, Shusheng Li, Hui Xu, Ye Yuan

Nat. Mach. Intell., 2020

High precision variational Bayesian inference of sparse linear networks.

Junyang Jin, Ye Yuan, Jorge M. Gonçalves

Autom., 2020

2017

Identification of nonlinear sparse networks using sparse Bayesian learning.

Junyang Jin, Ye Yuan, Wei Pan, Claire J. Tomlin, Alex Webb, Jorge M. Gonçalves

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

On Identification of Sparse Multivariable ARX Model: A Sparse Bayesian Learning Approach.

Junyang Jin, Ye Yuan, Wei Pan, Duong L. T. Pham, Claire J. Tomlin, Alex Webb, Jorge M. Gonçalves

CoRR, 2016

On Identification of Dynamical Structure Functions: A Sparse Bayesian Learning Approach.

Junyang Jin, Wei Pan, Duong L. T. Pham, Ye Yuan, Claire J. Tomlin, Alex Webb, Jorge M. Gonçalves

CoRR, 2016