Multitask Learning-Based Self-Attention Encoding Atrous Convolutional Neural Network for Remaining Useful Life Prediction. - Huaqing Wang; Tianjiao Lin; Lingli Cui; Bo Ma 007; Zuoyi Dong; Liuyang Song (IEEE Trans. Instrum. Meas., 2022)

Advancing RUL prediction in mechanical systems: A hybrid deep learning approach utilizing non-full lifecycle data. - Tianjiao Lin; Liuyang Song; Lingli Cui; Huaqing Wang (Adv. Eng. Informatics, 2024)

Remaining Useful Life Prediction Method Based on the Spatiotemporal Graph and GCN Nested Parallel Route Model. - Liuyang Song; Ye Jin; Tianjiao Lin; Shengkai Zhao; Zhicheng Wei; Huaqing Wang (IEEE Trans. Instrum. Meas., 2024)

Continual learning for unknown domain fault diagnosis in rotating machinery via Diffusion-Integrated Dynamic Mixture Experts. - Tianjiao Lin; Liuyang Song; Lingli Cui; Huaqing Wang (Eng. Appl. Artif. Intell., 2025)

Task-adaptive unbiased regularization meta-learning for few-shot cross-domain fault diagnosis. - Huaqing Wang; Dongrui Lv; Tianjiao Lin; Changkun Han; Liuyang Song (Eng. Appl. Artif. Intell., 2025)