Transfer Learning with Unsupervised Domain Adaptation Method for Bearing Fault Diagnosis. - Xiaohan Chen 003; Rui Yang 007; Huiqing Wen; Steven Guan 001 (CAA SAFEPROCESS, 2021)

Bearing fault diagnosis base on multi-scale CNN and LSTM model. - Xiaohan Chen 003; Bei-ke Zhang; Dong Gao 001 (J. Intell. Manuf., 2021)

Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016. - Xiaohan Chen 003; Rui Yang 007; Yihao Xue; Mengjie Huang; Roberto Ferrero; Zidong Wang 001 (IEEE Trans. Instrum. Meas., 2023)

A Novel Local Binary Temporal Convolutional Neural Network for Bearing Fault Diagnosis. - Yihao Xue; Rui Yang 007; Xiaohan Chen 003; Zhongbei Tian; Zidong Wang 001 (IEEE Trans. Instrum. Meas., 2023)

A novel momentum prototypical neural network to cross-domain fault diagnosis for rotating machinery subject to cold-start. - Xiaohan Chen 003; Rui Yang 007; Yihao Xue; Chao Yang; Baoye Song; Maiying Zhong (Neurocomputing, 2023)

A Review on Transferability Estimation in Deep Transfer Learning. - Yihao Xue; Rui Yang 007; Xiaohan Chen 003; Weibo Liu 001; Zidong Wang 001; Xiaohui Liu 001 (IEEE Trans. Artif. Intell., 2024)

Cross-material stress-strain prediction: A Seq2Seq transfer approach with small punch data. - Zhengni Yang; Rui Yang 007; Weijian Han; Wenyuan Kang; Jingyi Zhang; Chao Tong; Jingyu Kong; Xiaohan Chen 003 (Neurocomputing, 2025)

Separable Convolutional Network-Based Fault Diagnosis for High-Speed Train: A Gossip Strategy-Based Optimization Approach. - Yihao Xue; Rui Yang 007; Xiaohan Chen 003; Baoye Song; Zidong Wang 001 (IEEE Trans. Ind. Informatics, 2025)