Dynamic Analysis of a Rotor System Supported on Squeeze Film Damper with Air Entrainment. - Wei Zhang 137; Bingbing Han; Kunpeng Zhang; Qian Ding (Int. J. Bifurc. Chaos, 2017)

A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning. - Xiang Li 018; Wei Zhang 137; Qian Ding (Neurocomputing, 2018)

Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction. - Xiang Li 018; Wei Zhang 137; Qian Ding (Reliab. Eng. Syst. Saf., 2019)

Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism. - Xiang Li 018; Wei Zhang 137; Qian Ding (Signal Process., 2019)

Multi-Layer domain adaptation method for rolling bearing fault diagnosis. - Xiang Li 018; Wei Zhang 137; Qian Ding; Jian-Qiao Sun (Signal Process., 2019)

Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks. - Xiang Li 018; Wei Zhang 137; Qian Ding (IEEE Trans. Ind. Electron., 2019)

Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation. - Xiang Li 018; Xiao-Dong Jia 001; Wei Zhang 137; Hui Ma; Zhong Luo; Xu Li 013 (Neurocomputing, 2020)

Domain generalization in rotating machinery fault diagnostics using deep neural networks. - Xiang Li 018; Wei Zhang 137; Hui Ma; Zhong Luo; Xu Li 013 (Neurocomputing, 2020)

Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation. - Xiang Li 018; Wei Zhang 137; Qian Ding; Jian-Qiao Sun (J. Intell. Manuf., 2020)

Data alignments in machinery remaining useful life prediction using deep adversarial neural networks. - Xiang Li 018; Wei Zhang 137; Hui Ma; Zhong Luo; Xu Li 013 (Knowl. Based Syst., 2020)

Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks. - Xiang Li 018; Wei Zhang 137; Hui Ma; Zhong Luo; Xu Li 013 (Neural Networks, 2020)

Deep Learning-Based Machinery Fault Diagnostics With Domain Adaptation Across Sensors at Different Places. - Xiang Li 018; Wei Zhang 137; Nan-Xi Xu; Qian Ding (IEEE Trans. Ind. Electron., 2020)

Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning. - Xiang Li 018; Wei Zhang 137; Qian Ding; Xu Li 013 (IEEE Trans. Ind. Informatics, 2020)

Federated learning for machinery fault diagnosis with dynamic validation and self-supervision. - Wei Zhang 137; Xiang Li 018; Hui Ma; Zhong Luo; Xu Li 013 (Knowl. Based Syst., 2021)

Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions. - Wei Zhang 137; Xiang Li 018; Hui Ma; Zhong Luo; Xu Li 013 (Reliab. Eng. Syst. Saf., 2021)

Deep Learning-Based Partial Domain Adaptation Method on Intelligent Machinery Fault Diagnostics. - Xiang Li 018; Wei Zhang 137 (IEEE Trans. Ind. Electron., 2021)

Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning. - Wei Zhang 137; Xiang Li 018; Hui Ma; Zhong Luo; Xu Li 013 (IEEE Trans. Ind. Informatics, 2021)

Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning. - Wei Zhang 137; Xiang Li 018; Hui Ma; Zhong Luo; Xu Li 013 (IEEE Trans. Ind. Informatics, 2021)

Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning. - Xiang Li 018; Wei Zhang 137; Hui Ma; Zhong Luo; Xu Li 013 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis. - Wei Zhang 137; Ziwei Wang; Xiang Li 018 (Reliab. Eng. Syst. Saf., 2023)

Denoising diffusion probabilistic model-enabled data augmentation method for intelligent machine fault diagnosis. - Pengcheng Zhao; Wei Zhang 137; Xiaoshan Cao; Xiang Li 018 (Eng. Appl. Artif. Intell., 2025)

State of Charge Prediction of Lithium-Ion Batteries for Electric Aircraft with Swin Transformer. - Wei Zhang 137; Hongshen Hao; Yewei Zhang (IEEE CAA J. Autom. Sinica, 2025)