Deep Coupled Dense Convolutional Network With Complementary Data for Intelligent Fault Diagnosis. - Jinyang Jiao; Ming Zhao 006; Jing Lin 001; Chuancang Ding (IEEE Trans. Ind. Electron., 2019)

Sparsity-Based Algorithm for Condition Assessment of Rotating Machinery Using Internal Encoder Data. - Chuancang Ding; Ming Zhao 006; Jing Lin 001; Jinyang Jiao; Kaixuan Liang (IEEE Trans. Ind. Electron., 2020)

Classifier Inconsistency-Based Domain Adaptation Network for Partial Transfer Intelligent Diagnosis. - Jinyang Jiao; Ming Zhao 006; Jing Lin 001; Chuancang Ding (IEEE Trans. Ind. Informatics, 2020)

Hierarchical Frequency-Domain Sparsity-Based Algorithm for Fault Feature Extraction of Rolling Bearings. - Baoxiang Wang 005; Chuancang Ding (IEEE Trans. Instrum. Meas., 2020)

Lifelong Learning for Bearing Fault Diagnosis with Incremental Fault Types. - Bojian Chen; Chuancang Ding; Xingxing Jiang; Juanjuan Shi; Weiguo Huang; Changqing Shen (ICPHM, 2022)

A mixed adversarial adaptation network for intelligent fault diagnosis. - Jinyang Jiao; Ming Zhao 006; Jing Lin 001; Kaixuan Liang; Chuancang Ding (J. Intell. Manuf., 2022)

Cycle-consistent Adversarial Adaptation Network and its application to machine fault diagnosis. - Jinyang Jiao; Jing Lin 001; Ming Zhao 006; Kaixuan Liang; Chuancang Ding (Neural Networks, 2022)

Toothwise Health Monitoring of Planetary Gearbox Under Time-Varying Speed Condition Based on Rotating Encoder Signal. - Kaixuan Liang; Ming Zhao 006; Jing Lin 001; Jinyang Jiao; Chuancang Ding (IEEE Trans. Ind. Electron., 2022)

Towards Prediction Constraints: A Novel Domain Adaptation Method for Machine Fault Diagnosis. - Jinyang Jiao; Kaixuan Liang; Chuancang Ding; Jing Lin 001 (IEEE Trans. Ind. Informatics, 2022)

Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis. - Xiao Zhang; Weiguo Huang; Rui Wang 081; Yi Liao; Chuancang Ding; Jun Wang 026; Juanjuan Shi (Eng. Appl. Artif. Intell., 2023)

Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis. - Mingkuan Shi; Chuancang Ding; Rui Wang 081; Qiuyu Song; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Knowl. Based Syst., 2023)

Sparse Low-Rank Matrix Estimation With Nonconvex Enhancement for Fault Diagnosis of Rolling Bearings. - Juntao Ma; Weiguo Huang; Yi Liao; Xingxing Jiang; Chuancang Ding; Jun Wang 026; Juanjuan Shi (IEEE Trans. Instrum. Meas., 2023)

Classifier Discrepancy Guided Soft-Weight Adaptation Network for Machinery Fault Diagnosis Under Domain and Category Shift. - Rui Wang 081; Weiguo Huang; Jun Wang 026; Chuancang Ding; Changqing Shen; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2023)

Cross-domain privacy-preserving broad network for fault diagnosis of rotating machinery. - Mingkuan Shi; Chuancang Ding; Shuyuan Chang; Rui Wang 081; Weiguo Huang; Zhongkui Zhu (Adv. Eng. Informatics, 2023)

A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions. - Rui Wang 081; Weiguo Huang; Yixiang Lu; Xiao Zhang; Jun Wang 026; Chuancang Ding; Changqing Shen (Reliab. Eng. Syst. Saf., 2023)

Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy. - Rui Wang 081; Weiguo Huang; Xiao Zhang; Jun Wang 026; Chuancang Ding; Changqing Shen (Knowl. Based Syst., 2023)

Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery. - Mingkuan Shi; Chuancang Ding; Rui Wang 081; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Reliab. Eng. Syst. Saf., 2023)

Physics-informed unsupervised domain adaptation framework for cross-machine bearing fault diagnosis. - Ning Jia; Weiguo Huang; Chuancang Ding; Jun Wang 026; Zhongkui Zhu (Adv. Eng. Informatics, 2024)

Spectral boundary detecting model: A promising tool for adaptive mode extraction and machinery fault diagnosis. - Xingxing Jiang; Qiuyu Song; Qian Wang; Wanliang Zhang; Chuancang Ding; Zhongkui Zhu (Adv. Eng. Informatics, 2024)

Imbalanced class incremental learning system: A task incremental diagnosis method for imbalanced industrial streaming data. - Mingkuan Shi; Chuancang Ding; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Adv. Eng. Informatics, 2024)

Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis. - Xiao Zhang; Weiguo Huang; Chuancang Ding; Jun Wang 026; Changqing Shen; Juanjuan Shi (Adv. Eng. Informatics, 2024)

Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation. - Rui Wang 081; Weiguo Huang; Yixiang Lu; Jun Wang 026; Chuancang Ding; Yi Liao; Juanjuan Shi (Expert Syst. Appl., 2024)

Semi-supervised class incremental broad network for continuous diagnosis of rotating machinery faults with limited labeled samples. - Mingkuan Shi; Chuancang Ding; Rui Wang 081; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Knowl. Based Syst., 2024)

Low-Rank Constrained Multikernel General Parameterized Time-Frequency Transform and Its Application in Rotating Machine Fault Diagnosis Under Varying Speed Condition. - Chuancang Ding; Baoxiang Wang 005; Xingxing Jiang; Guifu Du; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2024)

Sparse Optimization Model Based on Sparse Matrix and Singular Value Vector for Fault Diagnosis of Rolling Bearings. - Tianxu Qiu; Weiguo Huang; Yi Liao; Chuancang Ding; Jun Wang 026 (IEEE Trans. Instrum. Meas., 2024)

Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions. - Mingkuan Shi; Chuancang Ding; Shuyuan Chang; Changqing Shen; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Ind. Informatics, 2024)

Partial Transfer Learning Method Based on Inter-Class Feature Transfer for Rolling Bearing Fault Diagnosis. - Hongbo Que; Xuyan Liu; Siqin Jin; Yaoyan Huo; Chengpan Wu; Chuancang Ding; Zhongkui Zhu (Sensors, 2024)

Auxiliary-feature-embedded causality-inspired dynamic penalty networks for open-set domain generalization diagnosis scenario. - Ning Jia; Weiguo Huang; Chuancang Ding; Yifan Huangfu; Juanjuan Shi; Zhongkui Zhu (Adv. Eng. Informatics, 2025)

CDARNet: A robust cross-dimensional adaptive region reconstruction network for real-time metal surface defect segmentation. - Qiancheng Li; Chuancang Ding; Baoxiang Wang 005; Jinyang Jiao; Weiguo Huang; Zhongkui Zhu (Adv. Eng. Informatics, 2025)

A novel adaptive gating neurons model with physical features weighted for bearing fault diagnosis under strong noise. - Panpan Guo; Weiguo Huang; Ning Jia; Chuancang Ding; Yifan Huangfu; Xingxing Jiang; Juanjuan Shi (Eng. Appl. Artif. Intell., 2025)

Universal multimodal aggregation network with adaptive enhancement and semantic guidance for salient object detection. - Qiancheng Li; Chuancang Ding; Baoxiang Wang 005; Jun Wang 026; Weiguo Huang; Zhongkui Zhu (Eng. Appl. Artif. Intell., 2025)

A physics-guided memory enhancement and causality-inspired generalization framework for continual fault diagnosis. - Ning Jia; Weiguo Huang; Panpan Guo; Chuancang Ding; Yifan Huangfu; Changqing Shen; Zhongkui Zhu (Knowl. Based Syst., 2025)

Class-aware quantitative adversarial network: a novel partial-set transfer mechanism for cross-domain fault diagnosis of rotating machinery. - Yanlin Zhou; Chuancang Ding; Mingkuan Shi; Hongbo Que; Yifan Huangfu; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Knowl. Based Syst., 2025)

PC3Net: A prior-causal contrast-collaboration network for single domain generalization fault diagnosis. - Ning Jia; Weiguo Huang; Chuancang Ding; Jun Wang 026; Zhongkui Zhu (Reliab. Eng. Syst. Saf., 2025)

Interpretable Transfer Unrolling Network for Intelligent Cross-Domain Condition Monitoring of Rotating Machinery. - Kai Chen; Chuancang Ding; Baoxiang Wang 005; Jun Wang 026; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2025)

Low-Rank Informed Adaptive Chirp Mode Decomposition and Its Application in Rotating Machine Fault Diagnosis Under Varying Speed Conditions. - Chuancang Ding; Xiaoting Huang; Baoxiang Wang 005; Xuan Li; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2025)

Imbalanced Partial Transfer Network for Intelligent Machine Fault Diagnosis. - Chuancang Ding; Yanlin Zhou; Xuyan Liu; Baoxiang Wang 005; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2025)

Hybrid Constraints Embedding Variational Nonlinear Chirp Mode Decomposition for Rotating Machine Fault Diagnosis Under Time-Varying Speed Conditions. - Xiaoting Huang; Chuancang Ding; Di Cheng; Baoxiang Wang 005; Xingxing Jiang; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2025)

Physics-Informed Uncertainty-Aware Dynamic Balancing Learning Framework for Unsupervised Universal Domain Generalization Diagnosis Scenario. - Ning Jia; Weiguo Huang; Chuancang Ding; Jun Wang 026 (IEEE Trans. Instrum. Meas., 2025)