Xiaomo Jiang

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 13

Top Topics

Gaussian Process

Multi Task Learning

Top Venues

IEEE Trans. Cybern.

Pattern Recognit.

IEEE Trans. Ind. Electron.

Publications

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) (2024)
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) (2023)
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 (2022)
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 (2022)
Haitao Liu, Kai Wu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains. CoRR (2022)
Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
Deep Latent-Variable Kernel Learning. IEEE Trans. Cybern. 52 (10) (2022)
Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
Modulating scalable Gaussian processes for expressive statistical learning. Pattern Recognit. 120 (2021)
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 (2021)
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 (2021)
Haitao Liu, Jiaqi Ding, Xinyu Xie, Xiaomo Jiang, Yusong Zhao, Xiaofang Wang
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization. CoRR (2021)
Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
Modulating Scalable Gaussian Processes for Expressive Statistical Learning. CoRR (2020)
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) (2020)
Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
Deep Latent-Variable Kernel Learning. CoRR (2020)
Xiaomo Jiang, Yong Yuan, Xian Liu
Bayesian inference method for stochastic damage accumulation modeling. Reliab. Eng. Syst. Saf. 111 (2013)
Xiaomo Jiang, Sankaran Mahadevan
Bayesian structural equation modeling method for hierarchical model validation. Reliab. Eng. Syst. Saf. 94 (4) (2009)
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) (2008)
Xiaomo Jiang, Sankaran Mahadevan
Bayesian risk-based decision method for model validation under uncertainty. Reliab. Eng. Syst. Saf. 92 (6) (2007)
Xiaomo Jiang, Hojjat Adeli
Clustering-Neural Network Models For Freeway Work Zone Capacity Estimation. Int. J. Neural Syst. 14 (3) (2004)
Xiaomo Jiang, Hojjat Adeli
Fuzzy clustering approach for accurate embedding dimension identification in chaotic time series. Integr. Comput. Aided Eng. 10 (3) (2003)