A meta-learning network with anti-interference for few-shot fault diagnosis. - Zhiqian Zhao; Runchao Zhao; Xianglin Wu; Xiuli Hu; Renwei Che; Xiang Zhang; Yinghou Jiao (Neurocomputing, 2023)

Smeta-LU: A self-supervised meta-learning fault diagnosis method for rotating machinery based on label updating. - Zhiqian Zhao; Yinghou Jiao; Yeyin Xu; Zhaobo Chen; Runchao Zhao (Adv. Eng. Informatics, 2024)

Semi-analytical predictions of multi-stable independent periodic motions and bifurcation evolution in a nonlinear bolted rotor system. - Runchao Zhao; Yinghou Jiao; Yeyin Xu; Zhitong Li; Zengtao Chen; Zhaobo Chen (Commun. Nonlinear Sci. Numer. Simul., 2024)

A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis. - Zhiqian Zhao; Yeyin Xu; Jiabin Zhang; Runchao Zhao; Zhaobo Chen; Yinghou Jiao (Neural Networks, 2024)

Task-Generalization-Based Graph Convolutional Network for Fault Diagnosis of Rod-Fastened Rotor System. - Zhiqian Zhao; Runchao Zhao; Yeyin Xu; Yinghou Jiao (IEEE Trans. Ind. Informatics, 2024)

A supervised contrastive learning method based on online complement strategy for long-tailed fine-grained fault diagnosis. - Zhiqian Zhao; Yinghou Jiao; Yeyin Xu; Runchao Zhao (Adv. Eng. Informatics, 2025)

DPCCNN: A new lightweight fault diagnosis model for small samples and high noise problem. - Jiabin Zhang; Zhiqian Zhao; Yinghou Jiao; Runchao Zhao; Xiuli Hu; Renwei Che (Neurocomputing, 2025)