Xiaomo Jiang

According to our database, Xiaomo Jiang authored at least 18 papers between 2003 and 2024.

Collaborative distances:

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

2024

An orbit-based encoder-forecaster deep learning method for condition monitoring of large turbomachines.

Xiaomo Jiang, Zhicheng Wang, Qing Chen, Xueyu Cheng, Shengli Xu, Shuhua Yang, Jigang Meng

Expert Syst. Appl., March, 2024

A parallel and multi-scale probabilistic temporal convolutional neural networks for forecasting the key monitoring parameters of gas turbine.

Changjun Liu, Xiaofang Wang, Xiaomo Jiang, Yongfeng Sui, Shiduo Cao, Chao Qi, Haitao Liu

Eng. Appl. Artif. Intell., 2024

Transfer condition assessment of gas turbines via double multi-task Gaussian process.

Shiduo Cao, Changjun Liu, He Xu, Xiaomo Jiang, Xuan Zhang, Binbin Yan, Chao Qi, Xiaofang Wang, Haitao Liu

Adv. Eng. Informatics, 2024

2023

Learning Multitask Gaussian Process Over Heterogeneous Input Domains.

Haitao Liu, Kai Wu, Yew-Soon Ong, Chao Bian, Xiaomo Jiang, Xiaofang Wang

IEEE Trans. Syst. Man Cybern. Syst., October, 2023

2022

Deep Latent-Variable Kernel Learning.

Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang

IEEE Trans. Cybern., 2022

Scalable multi-task Gaussian processes with neural embedding of coregionalization.

Haitao Liu, Jiaqi Ding, Xinyu Xie, Xiaomo Jiang, Yusong Zhao, Xiaofang Wang

Knowl. Based Syst., 2022

Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains.

Haitao Liu, Kai Wu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang

CoRR, 2022

Toward Smart Condition Monitoring of Rotatory Machines: An Optimized Probabilistic Signal Reconstruction Methodology for Fault Prediction With Multisource Uncertainties.

Xiaomo Jiang, Weijian Tang, Haixin Zhao, Xueyu Cheng

IEEE Access, 2022

2021

Modulating scalable Gaussian processes for expressive statistical learning.

Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang

Pattern Recognit., 2021

Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems.

Haitao Liu, Changjun Liu, Xiaomo Jiang, Xudong Chen, Shuhua Yang, Xiaofang Wang

CoRR, 2021

OrbitNet: A new CNN model for automatic fault diagnostics of turbomachines.

Xiaomo Jiang, Shuhua Yang, Fumin Wang, Shengli Xu, Xiaofang Wang, Xueyu Cheng

Appl. Soft Comput., 2021

2020

Information Theory Based Probabilistic Approach to Blade Damage Detection of Turbomachine Using Sensor Data.

Shuhua Yang, Xiaomo Jiang, Shengli Xu, Xiaofang Wang

IEEE Trans. Ind. Electron., 2020

2013

Bayesian inference method for stochastic damage accumulation modeling.

Xiaomo Jiang, Yong Yuan, Xian Liu

Reliab. Eng. Syst. Saf., 2013

2009

Bayesian structural equation modeling method for hierarchical model validation.

Xiaomo Jiang, Sankaran Mahadevan

Reliab. Eng. Syst. Saf., 2009

2008

Discussion of "A Wavelet Network Model for Short-Term Traffic Volume Forecasting"by Yuanchang Xie and Yunlong Zhang.

Xiaomo Jiang, Hojjat Adeli

J. Intell. Transp. Syst., 2008

2007

Bayesian risk-based decision method for model validation under uncertainty.

Xiaomo Jiang, Sankaran Mahadevan

Reliab. Eng. Syst. Saf., 2007

2004

Clustering-Neural Network Models For Freeway Work Zone Capacity Estimation.

Xiaomo Jiang, Hojjat Adeli

Int. J. Neural Syst., 2004

2003

Fuzzy clustering approach for accurate embedding dimension identification in chaotic time series.

Xiaomo Jiang, Hojjat Adeli

Integr. Comput. Aided Eng., 2003