Fault Diagnosis for Wind Turbine Gearboxes by Using Deep Enhanced Fusion Network. - Ziqiang Pu; Chuan Li 003; Shaohui Zhang; Yun Bai 002 (IEEE Trans. Instrum. Meas., 2021)

VGAN: Generalizing MSE GAN and WGAN-GP for Robot Fault Diagnosis. - Ziqiang Pu; Diego Cabrera 001; Chuan Li 003; José Valente de Oliveira (IEEE Intell. Syst., 2022)

A One-Class Generative Adversarial Detection Framework for Multifunctional Fault Diagnoses. - Ziqiang Pu; Diego Cabrera 001; Yun Bai 002; Chuan Li 003 (IEEE Trans. Ind. Electron., 2022)

From Anomaly Detection to Novel Fault Discrimination for Wind Turbine Gearboxes With a Sparse Isolation Encoding Forest. - Wenliao Du; Zhen Guo; Chuan Li 003; Xiaoyun Gong; Ziqiang Pu (IEEE Trans. Instrum. Meas., 2022)

Sliced Wasserstein cycle consistency generative adversarial networks for fault data augmentation of an industrial robot. - Ziqiang Pu; Diego Cabrera 001; Chuan Li 003; José Valente de Oliveira (Expert Syst. Appl., 2023)

Generative adversarial one-shot diagnosis of transmission faults for industrial robots. - Ziqiang Pu; Diego Cabrera 001; Yun Bai 002; Chuan Li 003 (Robotics Comput. Integr. Manuf., 2023)

A super resolution method based on generative adversarial networks with quantum feature enhancement: Application to aerial agricultural images. - Khalid El Amraoui; Ziqiang Pu; Lahcen Koutti; Lhoussaine Masmoudi; José Valente de Oliveira (Neurocomputing, 2024)

Dual-loss nonlinear independent component estimation for augmenting explainable vibration samples of rotating machinery faults. - Xiaoyun Gong; Mengxuan Hao; Chuan Li 003; Wenliao Du; Ziqiang Pu (Neurocomputing, 2024)

Incrementally Generative Adversarial Diagnostics Using Few-Shot Enabled One-Class Learning. - Ziqiang Pu; Lijuan Yan; Yun Bai 002; Diego Cabrera 001; Chuan Li 003 (IEEE Trans. Ind. Informatics, 2024)

Exploiting graph neural network with one-shot learning for fault diagnosis of rotating machinery. - Shuai Yang; Xu Chen; Yu Wang; Yun Bai; Ziqiang Pu (Int. J. Mach. Learn. Cybern., 2024)

Zero-shot fault diagnosis using soft semantic embedding of diffusion-encoded probability. - Chuan Li 003; Lijuan Yan; Ping Wang; Jianyu Long; Ziqiang Pu (Adv. Eng. Informatics, 2025)

Few-Shot Diffusion Domain Generalization for Diagnosing Joint Reducer Faults in Industrial Robots. - Chuan Li 003; Qiyi Liu; Qibing Yu; Shuai Yang 004; Ziqiang Pu (IEEE Trans. Instrum. Meas., 2025)

Squeeze-and-excitation attention residual learning of propulsion fault features for diagnosing autonomous underwater vehicles. - Wenliao Du; Xinlong Yu; Zhen Guo; Hongchao Wang; Ziqiang Pu; Chuan Li 003 (J. Field Robotics, 2025)

Multiscale Convolutional Reservoir Computing for Remaining Useful Life Prediction of Li-ion Batteries. - Chuan Li 003; Gaifang Guo; Ziqiang Pu (IEEE Trans. Consumer Electron., 2025)