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2020 – today
- 2024
[j16]Shiduo Cao, Changjun Liu, He Xu, Xiaomo Jiang, Xuan Zhang, Binbin Yan, Chao Qi, Xiaofang Wang, Haitao Liu:
Transfer condition assessment of gas turbines via double multi-task Gaussian process. Adv. Eng. Informatics 62: 102782 (2024)- [j15]Changjun Liu
, Xiaofang Wang, Xiaomo Jiang, Yongfeng Sui, Shiduo Cao, Chao Qi, Haitao Liu:
A parallel and multi-scale probabilistic temporal convolutional neural networks for forecasting the key monitoring parameters of gas turbine. Eng. Appl. Artif. Intell. 138: 109400 (2024) - [j14]Xiaomo Jiang, Zhicheng Wang, Qing Chen, Xueyu Cheng, Shengli Xu, Shuhua Yang, Jigang Meng:
An orbit-based encoder-forecaster deep learning method for condition monitoring of large turbomachines. Expert Syst. Appl. 238(Part F): 122215 (2024) - 2023
- [j13]Haitao Liu, Kai Wu, Yew-Soon Ong, Chao Bian, Xiaomo Jiang, Xiaofang Wang:
Learning Multitask Gaussian Process Over Heterogeneous Input Domains. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6232-6244 (2023) - 2022
- [j12]Xiaomo Jiang, Weijian Tang, Haixin Zhao, Xueyu Cheng:
Toward Smart Condition Monitoring of Rotatory Machines: An Optimized Probabilistic Signal Reconstruction Methodology for Fault Prediction With Multisource Uncertainties. IEEE Access 10: 60862-60875 (2022) - [j11]Haitao Liu, Jiaqi Ding, Xinyu Xie, Xiaomo Jiang, Yusong Zhao, Xiaofang Wang:
Scalable multi-task Gaussian processes with neural embedding of coregionalization. Knowl. Based Syst. 247: 108775 (2022) - [j10]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Deep Latent-Variable Kernel Learning. IEEE Trans. Cybern. 52(10): 10276-10289 (2022) - [i5]Haitao Liu, Kai Wu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains. CoRR abs/2202.12636 (2022) - 2021
- [j9]Xiaomo Jiang, Shuhua Yang, Fumin Wang, Shengli Xu, Xiaofang Wang, Xueyu Cheng:
OrbitNet: A new CNN model for automatic fault diagnostics of turbomachines. Appl. Soft Comput. 110: 107702 (2021) - [j8]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Modulating scalable Gaussian processes for expressive statistical learning. Pattern Recognit. 120: 108121 (2021) - [i4]Haitao Liu, Changjun Liu, Xiaomo Jiang, Xudong Chen, Shuhua Yang, Xiaofang Wang:
Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems. CoRR abs/2106.05848 (2021) - [i3]Haitao Liu, Jiaqi Ding, Xinyu Xie, Xiaomo Jiang, Yusong Zhao, Xiaofang Wang:
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization. CoRR abs/2109.09261 (2021) - 2020
- [j7]Shuhua Yang, Xiaomo Jiang, Shengli Xu, Xiaofang Wang:
Information Theory Based Probabilistic Approach to Blade Damage Detection of Turbomachine Using Sensor Data. IEEE Trans. Ind. Electron. 67(12): 10887-10896 (2020) - [i2]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Deep Latent-Variable Kernel Learning. CoRR abs/2005.08467 (2020) - [i1]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Modulating Scalable Gaussian Processes for Expressive Statistical Learning. CoRR abs/2008.12922 (2020)
2010 – 2019
- 2013
- [j6]Xiaomo Jiang, Yong Yuan, Xian Liu:
Bayesian inference method for stochastic damage accumulation modeling. Reliab. Eng. Syst. Saf. 111: 126-138 (2013)
2000 – 2009
- 2009
- [j5]Xiaomo Jiang, Sankaran Mahadevan:
Bayesian structural equation modeling method for hierarchical model validation. Reliab. Eng. Syst. Saf. 94(4): 796-809 (2009) - 2008
- [j4]Xiaomo Jiang, Hojjat Adeli:
Discussion of "A Wavelet Network Model for Short-Term Traffic Volume Forecasting"by Yuanchang Xie and Yunlong Zhang. J. Intell. Transp. Syst. 12(3): 97-98 (2008) - 2007
- [j3]Xiaomo Jiang, Sankaran Mahadevan:
Bayesian risk-based decision method for model validation under uncertainty. Reliab. Eng. Syst. Saf. 92(6): 707-718 (2007) - 2004
- [j2]Xiaomo Jiang, Hojjat Adeli:
Clustering-Neural Network Models For Freeway Work Zone Capacity Estimation. Int. J. Neural Syst. 14(3): 147-163 (2004) - 2003
- [j1]Xiaomo Jiang, Hojjat Adeli:
Fuzzy clustering approach for accurate embedding dimension identification in chaotic time series. Integr. Comput. Aided Eng. 10(3): 287-302 (2003)
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