Dongxiang Jiang

According to our database, Dongxiang Jiang authored at least 24 papers between 2005 and 2024.

Collaborative distances:

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

2024

Asynchronous Training Schemes in Distributed Learning with Time Delay.

Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee

Trans. Mach. Learn. Res., 2024

Unsupervised Bayesian change-point detection approach for reliable prognostics and health management of complex mechanical systems.

Rui Wu, Chao Liu, Dongxiang Jiang

Reliab. Eng. Syst. Saf., 2024

Root cause localization for wind turbines using physics guided multivariate graphical modeling and fault propagation analysis.

Chenlong Feng, Chao Liu, Dongxiang Jiang

Knowl. Based Syst., 2024

Multiscale-attention masked autoencoder for missing data imputation of wind turbines.

Yuwei Fan, Chenlong Feng, Rui Wu, Chao Liu, Dongxiang Jiang

Knowl. Based Syst., 2024

Domain-specific ReAct for physics-integrated iterative modeling: A case study of LLM agents for gas path analysis of gas turbines.

Tao Song, Yuwei Fan, Chenlong Feng, Keyu Song, Chao Liu, Dongxiang Jiang

CoRR, 2024

M2Beats: When Motion Meets Beats in Short-form Videos.

Dongxiang Jiang, Yongchang Zhang, Shuai He, Anlong Ming

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2022

The Stochastic Augmented Lagrangian method for domain adaptation.

Zhanhong Jiang, Chao Liu, Young M. Lee, Chinmay Hegde, Soumik Sarkar, Dongxiang Jiang

Knowl. Based Syst., 2022

A hierarchical scheme for remaining useful life prediction with long short-term memory networks.

Tao Song, Chao Liu, Rui Wu, Yunfeng Jin, Dongxiang Jiang

Neurocomputing, 2022

Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks.

Shuai He, Yongchang Zhang, Rui Xie, Dongxiang Jiang, Anlong Ming

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Deep transfer learning with limited data for machinery fault diagnosis.

Te Han, Chao Liu, Rui Wu, Dongxiang Jiang

Appl. Soft Comput., 2021

2019

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults.

Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang

Knowl. Based Syst., 2019

2018

Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery.

Te Han, Dongxiang Jiang, Qi Zhao, Lei Wang, Kai Yin

Trans. Inst. Meas. Control, 2018

Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application.

Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang

CoRR, 2018

2017

Intelligent Diagnosis Method for Rotating Machinery Using Dictionary Learning and Singular Value Decomposition.

Te Han, Dongxiang Jiang, Xiaochen Zhang, Yankui Sun

Sensors, 2017

Rotating Machinery Fault Diagnosis for Imbalanced Data Based on Fast Clustering Algorithm and Support Vector Machine.

Xiaochen Zhang, Dongxiang Jiang, Te Han, Nanfei Wang, Wenguang Yang, Yizhou Yang

J. Sensors, 2017

2014

Global geometric similarity scheme for feature selection in fault diagnosis.

Chao Liu, Dongxiang Jiang, Wenguang Yang

Expert Syst. Appl., 2014

2011

Machine Condition Classification Using Deterioration Feature Extraction and Anomaly Determination.

Dongxiang Jiang, Chao Liu

IEEE Trans. Reliab., 2011

Wind farm power prediction based on wavelet decomposition and chaotic time series.

Xueli An, Dongxiang Jiang, Chao Liu, Minghao Zhao

Expert Syst. Appl., 2011

2009

Application of RBF and Elman Neural Networks on Condition Prediction in CBM.

Chao Liu, Dongxiang Jiang, Minghao Zhao

Proceedings of the Sixth International Symposium on Neural Networks, 2009

2008

Application of Wavelet Neural Networks on Vibration Fault Diagnosis for Wind Turbine Gearbox.

Qian Huang, Dongxiang Jiang, Liangyou Hong, Yongshan Ding

Proceedings of the Advances in Neural Networks, 2008

Study on Gas Turbine Thermodynamic Component Performance Degradation Assessment Based on RBF and SOM Neural Networks.

Yongshan Ding, Dongxiang Jiang, Liangyou Hong, Qian Huang

Proceedings of the 2008 International Conference on Artificial Intelligence, 2008

2007

Comparison of Data Mining and Neural Network Methods on Aero-engine Vibration Fault Diagnosis.

Dongxiang Jiang, Kai Xiong, Yongshan Ding, Kai Li

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006

Application of RBF and SOFM Neural Networks on Vibration Fault Diagnosis for Aero-engines.

Kai Li, Dongxiang Jiang, Kai Xiong, Yongshan Ding

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005

Application of Fuzzy SOFM Neural Network and Rough Set Theory on Fault Diagnosis for Rotating Machinery.

Dongxiang Jiang, Kai Li, Gang Zhao, Jinhui Diao

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005