Dongxiang Jiang

28 papers A* 2Misc 1Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A positive-unlabeled learning approach for industrial anomaly detection based on self-adaptive training. Neurocomputing Keyu Song, Chao Liu, Dongxiang Jiang
2025	J	`jnl`	Wind turbine blade damage identification using lightweight YOLO11 with multi-scale dilated attention. Appl. Soft Comput. Wenjing Xu, Jiachi Yao, Yanxue Wang, Chao Liu, Xinyu Liu, Dongxiang Jiang
2024	J	`jnl`	Asynchronous Training Schemes in Distributed Learning with Time Delay. Trans. Mach. Learn. Res. Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
2024	J	`jnl`	Domain-specific ReAct for physics-integrated iterative modeling: A case study of LLM agents for gas path analysis of gas turbines. CoRR Tao Song, Yuwei Fan, Chenlong Feng, Keyu Song, Chao Liu, Dongxiang Jiang
2024	J	`jnl`	Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data. CoRR Yuwei Fan, Tao Song, Chenlong Feng, Keyu Song, Chao Liu, Dongxiang Jiang
2024	A*	`conf`	M2Beats: When Motion Meets Beats in Short-form Videos. IJCAI Dongxiang Jiang, Yongchang Zhang, Shuai He, Anlong Ming
2024	J	`jnl`	Multiscale-attention masked autoencoder for missing data imputation of wind turbines. Knowl. Based Syst. Yuwei Fan, Chenlong Feng, Rui Wu, Chao Liu, Dongxiang Jiang
2024	J	`jnl`	Root cause localization for wind turbines using physics guided multivariate graphical modeling and fault propagation analysis. Knowl. Based Syst. Chenlong Feng, Chao Liu, Dongxiang Jiang
2024	J	`jnl`	Unsupervised Bayesian change-point detection approach for reliable prognostics and health management of complex mechanical systems. Reliab. Eng. Syst. Saf. Rui Wu, Chao Liu, Dongxiang Jiang
2022	J	`jnl`	A hierarchical scheme for remaining useful life prediction with long short-term memory networks. Neurocomputing Tao Song, Chao Liu, Rui Wu, Yunfeng Jin, Dongxiang Jiang
2022	J	`jnl`	Asynchronous Training Schemes in Distributed Learning with Time Delay. CoRR Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
2022	A*	`conf`	Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks. IJCAI Shuai He, Yongchang Zhang, Rui Xie, Dongxiang Jiang, Anlong Ming
2022	J	`jnl`	The Stochastic Augmented Lagrangian method for domain adaptation. Knowl. Based Syst. Zhanhong Jiang, Chao Liu, Young M. Lee, Chinmay Hegde, Soumik Sarkar, Dongxiang Jiang
2021	J	`jnl`	Deep transfer learning with limited data for machinery fault diagnosis. Appl. Soft Comput. Te Han, Chao Liu, Rui Wu, Dongxiang Jiang
2019	J	`jnl`	A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults. Knowl. Based Syst. Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang
2018	J	`jnl`	Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery. Trans. Inst. Meas. Control Te Han, Dongxiang Jiang, Qi Zhao, Lei Wang, Kai Yin
2018	J	`jnl`	Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application. CoRR Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang
2017	J	`jnl`	Intelligent Diagnosis Method for Rotating Machinery Using Dictionary Learning and Singular Value Decomposition. Sensors Te Han, Dongxiang Jiang, Xiaochen Zhang, Yankui Sun
2017	J	`jnl`	Rotating Machinery Fault Diagnosis for Imbalanced Data Based on Fast Clustering Algorithm and Support Vector Machine. J. Sensors Xiaochen Zhang, Dongxiang Jiang, Te Han, Nanfei Wang, Wenguang Yang, Yizhou Yang
2014	J	`jnl`	Global geometric similarity scheme for feature selection in fault diagnosis. Expert Syst. Appl. Chao Liu, Dongxiang Jiang, Wenguang Yang
2011	J	`jnl`	Machine Condition Classification Using Deterioration Feature Extraction and Anomaly Determination. IEEE Trans. Reliab. Dongxiang Jiang, Chao Liu
2011	J	`jnl`	Wind farm power prediction based on wavelet decomposition and chaotic time series. Expert Syst. Appl. Xueli An, Dongxiang Jiang, Chao Liu, Minghao Zhao
2009	—	`conf`	Application of RBF and Elman Neural Networks on Condition Prediction in CBM. ISNN (4) Chao Liu, Dongxiang Jiang, Minghao Zhao
2008	—	`conf`	Application of Wavelet Neural Networks on Vibration Fault Diagnosis for Wind Turbine Gearbox. ISNN (2) Qian Huang, Dongxiang Jiang, Liangyou Hong, Yongshan Ding
2008	Misc	`conf`	Study on Gas Turbine Thermodynamic Component Performance Degradation Assessment Based on RBF and SOM Neural Networks. IC-AI Yongshan Ding, Dongxiang Jiang, Liangyou Hong, Qian Huang
2007	—	`conf`	Comparison of Data Mining and Neural Network Methods on Aero-engine Vibration Fault Diagnosis. FSKD (4) Dongxiang Jiang, Kai Xiong, Yongshan Ding, Kai Li
2006	—	`conf`	Application of RBF and SOFM Neural Networks on Vibration Fault Diagnosis for Aero-engines. ISNN (2) Kai Li, Dongxiang Jiang, Kai Xiong, Yongshan Ding
2005	—	`conf`	Application of Fuzzy SOFM Neural Network and Rough Set Theory on Fault Diagnosis for Rotating Machinery. ISNN (3) Dongxiang Jiang, Kai Li, Gang Zhao, Jinhui Diao