Compression of deep neural networks: bridging the gap between conventional-based pruning and evolutionary approach. - Yidan Zhang; Guangjin Wang; Taibo Yang; Tianfeng Pang; Zhenan He 001; Jiancheng Lv 001 (Neural Comput. Appl., 2022)

Open-Set Classification for Signal Diagnosis of Machinery Sensor in Industrial Environment. - Jianming Chen; Guangjin Wang; Jiancheng Lv 001; Zhenan He 001; Taibo Yang; Chenwei Tang (IEEE Trans. Ind. Informatics, 2023)

Discovering the causes for the change of the vibration characteristics of the core support barrel in PWR nuclear power plants: A combined investigation based on ex-core neutron noise analysis and numerical modal analysis. - Jiaxin Liu; Deping Yu; Taibo Yang; Caixue Liu; Guangjin Wang; Xiaoming Liu (Reliab. Eng. Syst. Saf., 2023)

Convolutional preprocessing Transformer-based fault diagnosis for rectifier-filter circuits in nuclear power plants. - Fu Wang; Tangfan Xiahou; Xian Zhang; Pan He; Taibo Yang; Jiang Niu; Caixue Liu; Yu Liu 006 (Reliab. Eng. Syst. Saf., 2024)

Model and network dual-driven fault diagnosis framework for canned motor pumps under imbalanced data. - Taibo Yang; Jintao Yao; Jiaxin Liu; Qingbo He; Zhike Peng (Adv. Eng. Informatics, 2025)