Aircraft flight regime recognition with deep temporal segmentation neural network. - Jingyao Wu 001; Chenye Hu; Chuang Sun 001; Xuefeng Chen 002; Ruqiang Yan 001 (Eng. Appl. Artif. Intell., 2023)

Interinstance and Intratemporal Self-Supervised Learning With Few Labeled Data for Fault Diagnosis. - Chenye Hu; Jingyao Wu 001; Chuang Sun 001; Ruqiang Yan 001; Xuefeng Chen 002 (IEEE Trans. Ind. Informatics, 2023)

Intelligent temporal detection network for boundary-sensitive flight regime recognition. - Chenye Hu; Jingyao Wu 001; Chuang Sun 001; Xuefeng Chen 002; Ruqiang Yan 001 (Eng. Appl. Artif. Intell., 2023)

NorCLR: A Normality-Aggregated Contrastive Learning Framework for Mechanical Anomaly Detection. - Chenye Hu; Jiaxin Ren; Jingyao Wu 001; Hong Xu; Chuang Sun 001; Ruqiang Yan 001 (I2MTC, 2024)

WavFormer: An Interpretable Wavelet-Constrained Transformer for Industrial Acoustics Diagnosis. - Jiaxin Ren; Chenye Hu; Zuogang Shang; Yasong Li; Zhibin Zhao 002; Ruqiang Yan 001 (I2MTC, 2024)

T2Net: An Attention-Enhanced Network for Trustworthy Thermal Imaging-Based Lubrication System Condition Assessment. - Tianlei Wang; Jiaxin Ren; Ke Feng 004; Chenye Hu; Zhibin Zhao 002; Ruqiang Yan 001 (I2MTC, 2025)

A compound fault diagnosis method based on health state feature decoupling. - Hong Xu; Chenye Hu; Yasong Li; Yuangui Yang; Jiaxin Ren; Ruqiang Yan 001 (I2MTC, 2025)

Learning globally ordered and locally consistent degradation representations for remaining useful life prediction. - Yasong Li; Chenye Hu; Zheng Zhou; Chuang Sun 001; Jun Peng 002; Ruqiang Yan 001 (Adv. Eng. Informatics, 2025)

Sequence to sequence network with Bayesian attention and state transition for self-data-driven remaining useful life estimation. - Yasong Li; Zheng Zhou; Chenye Hu; Chuang Sun 001; Jun Peng 002; Ruqiang Yan 001 (Expert Syst. Appl., 2025)

Normality Aggregation and Abnormality Separation Contrastive Learning for Mechanical Anomaly Detection. - Chenye Hu; Jiaxin Ren; Hong Xu; Jingyao Wu 001; Chuang Sun 001; Ruqiang Yan 001 (IEEE Trans. Instrum. Meas., 2025)

An Incremental Learning Method With Feature-Attention Distillation and Logit Adjustment for Rotating Machinery Fault Diagnosis. - Yasong Li; Hong Xu; Yuangui Yang; Chenye Hu; Chuang Sun 001; Huimin Song; Laihao Yang (IEEE Trans. Instrum. Meas., 2025)

Learning Interpretable and Transferable Representations via Wavelet-Constrained Transformer for Industrial Acoustic Diagnosis. - Jiaxin Ren; Chenye Hu; Zuogang Shang; Yasong Li; Zhibin Zhao 002; Ruqiang Yan 001 (IEEE Trans. Instrum. Meas., 2025)

Unified Flowing Normality Learning for Rotating Machinery Anomaly Detection in Continuous Time-Varying Conditions. - Chenye Hu; Jingyao Wu 001; Chuang Sun 001; Xuefeng Chen 002; Asoke K. Nandi; Ruqiang Yan 001 (IEEE Trans. Cybern., 2025)