Fuzzy clustering approach for accurate embedding dimension identification in chaotic time series. - Xiaomo Jiang; Hojjat Adeli (Integr. Comput. Aided Eng., 2003)

Clustering-Neural Network Models For Freeway Work Zone Capacity Estimation. - Xiaomo Jiang; Hojjat Adeli (Int. J. Neural Syst., 2004)

Bayesian risk-based decision method for model validation under uncertainty. - Xiaomo Jiang; Sankaran Mahadevan (Reliab. Eng. Syst. Saf., 2007)

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)

Bayesian structural equation modeling method for hierarchical model validation. - Xiaomo Jiang; Sankaran Mahadevan (Reliab. Eng. Syst. Saf., 2009)

Bayesian inference method for stochastic damage accumulation modeling. - Xiaomo Jiang; Yong Yuan; Xian Liu (Reliab. Eng. Syst. Saf., 2013)

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)

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)

Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems. - Haitao Liu 002; Changjun Liu; Xiaomo Jiang; Xudong Chen; Shuhua Yang; Xiaofang Wang (CoRR, 2021)

Modulating scalable Gaussian processes for expressive statistical learning. - Haitao Liu 002; Yew-Soon Ong; Xiaomo Jiang; Xiaofang Wang (Pattern Recognit., 2021)

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)

Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains. - Haitao Liu 002; Kai Wu 004; Yew-Soon Ong; Xiaomo Jiang; Xiaofang Wang (CoRR, 2022)

Scalable multi-task Gaussian processes with neural embedding of coregionalization. - Haitao Liu 002; Jiaqi Ding; Xinyu Xie; Xiaomo Jiang; Yusong Zhao; Xiaofang Wang (Knowl. Based Syst., 2022)

Deep Latent-Variable Kernel Learning. - Haitao Liu 002; Yew-Soon Ong; Xiaomo Jiang; Xiaofang Wang (IEEE Trans. Cybern., 2022)

Learning Multitask Gaussian Process Over Heterogeneous Input Domains. - Haitao Liu 002; Kai Wu 004; Yew-Soon Ong; Chao Bian 007; Xiaomo Jiang; Xiaofang Wang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

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 002 (Adv. Eng. Informatics, 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 002 (Eng. Appl. Artif. Intell., 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., 2024)

A thermodynamics-informed deep learning approach for lightweight modeling of gas turbine performance. - Xiaomo Jiang; Yiyang Liu 004; Manman Wei; Xueyu Cheng; Zhicheng Wang (Eng. Appl. Artif. Intell., 2025)

FEMSN: Frequency-Enhanced Multiscale Network for fault diagnosis of rotating machinery under strong noise environments. - Yuhan Yuan; Xiaomo Jiang; Yanfeng Han; Ke Xiao (CoRR, 2025)