Application of Fuzzy SOFM Neural Network and Rough Set Theory on Fault Diagnosis for Rotating Machinery. - Dongxiang Jiang; Kai Li; Gang Zhao; Jinhui Diao (ISNN (3), 2005)

Application of RBF and SOFM Neural Networks on Vibration Fault Diagnosis for Aero-engines. - Kai Li; Dongxiang Jiang; Kai Xiong; Yongshan Ding 002 (ISNN (2), 2006)

Comparison of Data Mining and Neural Network Methods on Aero-engine Vibration Fault Diagnosis. - Dongxiang Jiang; Kai Xiong; Yongshan Ding 002; Kai Li (FSKD (4), 2007)

Study on Gas Turbine Thermodynamic Component Performance Degradation Assessment Based on RBF and SOM Neural Networks. - Yongshan Ding 002; Dongxiang Jiang; Liangyou Hong; Qian Huang (IC-AI, 2008)

Application of Wavelet Neural Networks on Vibration Fault Diagnosis for Wind Turbine Gearbox. - Qian Huang; Dongxiang Jiang; Liangyou Hong; Yongshan Ding 002 (ISNN (2), 2008)

Application of RBF and Elman Neural Networks on Condition Prediction in CBM. - Chao Liu 028; Dongxiang Jiang; Minghao Zhao 004 (ISNN (4), 2009)

Wind farm power prediction based on wavelet decomposition and chaotic time series. - Xueli An; Dongxiang Jiang; Chao Liu 028; Minghao Zhao 004 (Expert Syst. Appl., 2011)

Machine Condition Classification Using Deterioration Feature Extraction and Anomaly Determination. - Dongxiang Jiang; Chao Liu 028 (IEEE Trans. Reliab., 2011)

Global geometric similarity scheme for feature selection in fault diagnosis. - Chao Liu 028; Dongxiang Jiang; Wenguang Yang (Expert Syst. Appl., 2014)

Rotating Machinery Fault Diagnosis for Imbalanced Data Based on Fast Clustering Algorithm and Support Vector Machine. - Xiaochen Zhang 002; Dongxiang Jiang; Te Han; Nanfei Wang; Wenguang Yang; Yizhou Yang (J. Sensors, 2017)

Intelligent Diagnosis Method for Rotating Machinery Using Dictionary Learning and Singular Value Decomposition. - Te Han; Dongxiang Jiang; Xiaochen Zhang 002; Yankui Sun (Sensors, 2017)

Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application. - Te Han; Chao Liu 028; Wenguang Yang; Dongxiang Jiang (CoRR, 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)

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults. - Te Han; Chao Liu 028; Wenguang Yang; Dongxiang Jiang (Knowl. Based Syst., 2019)

Deep transfer learning with limited data for machinery fault diagnosis. - Te Han; Chao Liu 028; Rui Wu 005; Dongxiang Jiang (Appl. Soft Comput., 2021)

Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks. - Shuai He; Yongchang Zhang; Rui Xie; Dongxiang Jiang; Anlong Ming (IJCAI, 2022)

A hierarchical scheme for remaining useful life prediction with long short-term memory networks. - Tao Song; Chao Liu 028; Rui Wu 005; Yunfeng Jin; Dongxiang Jiang (Neurocomputing, 2022)

The Stochastic Augmented Lagrangian method for domain adaptation. - Zhanhong Jiang; Chao Liu 028; Young M. Lee; Chinmay Hegde; Soumik Sarkar; Dongxiang Jiang (Knowl. Based Syst., 2022)

M2Beats: When Motion Meets Beats in Short-form Videos. - Dongxiang Jiang; Yongchang Zhang; Shuai He; Anlong Ming (IJCAI, 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)

Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data. - Yuwei Fan; Tao Song; Chenlong Feng; Keyu Song; Chao Liu 028; Dongxiang Jiang (CoRR, 2024)

Multiscale-attention masked autoencoder for missing data imputation of wind turbines. - Yuwei Fan; Chenlong Feng; Rui Wu 005; Chao Liu 028; Dongxiang Jiang (Knowl. Based Syst., 2024)

Root cause localization for wind turbines using physics guided multivariate graphical modeling and fault propagation analysis. - Chenlong Feng; Chao Liu 028; Dongxiang Jiang (Knowl. Based Syst., 2024)

Unsupervised Bayesian change-point detection approach for reliable prognostics and health management of complex mechanical systems. - Rui Wu 005; Chao Liu 028; Dongxiang Jiang (Reliab. Eng. Syst. Saf., 2024)

Asynchronous Training Schemes in Distributed Learning with Time Delay. - Haoxiang Wang 006; Zhanhong Jiang; Chao Liu 028; Soumik Sarkar; Dongxiang Jiang; Young M. Lee (Trans. Mach. Learn. Res., 2024)

A positive-unlabeled learning approach for industrial anomaly detection based on self-adaptive training. - Keyu Song; Chao Liu 028; Dongxiang Jiang (Neurocomputing, 2025)