Wei Zhang

发表

Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis

Ziyue Wang, Ziwei Wang, Wei Zhang, 2022, Reliab. Eng. Syst. Saf..

Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation

Qian Ding, Wei Zhang, Xiang Li, 2018, Journal of Intelligent Manufacturing.

Deep Residual Net-Based Prognosis Method for Lithium-ion Batteries with Information Fusion from Different Scales

Yafei Zhu, Wei Zhang, Xiang Li, 2022, 2022 Global Reliability and Prognostics and Health Management (PHM-Yantai).

High-performance titanium-based composite strengthened with heterogeneous network structure

Xiang-dong Li, Yong-qing Zhao, Qinyang Zhao, 2022, Journal of Alloys and Compounds.

Enhancing mechanisms of arc-erosion resistance for copper tungsten electrical contact using reduced graphene oxides in situ modified by copper nanoparticles

Xiang-dong Li, A. Elmarakbi, Yongqing Fu, 2022, International Journal of Refractory Metals and Hard Materials.

Microstructure characterization and damping behavior of the novel graphene oxide/TiNi laminate composite sheet

Xiang-dong Li, W. Huo, Longlong Dong, 2022, Materials Letters.

Federated learning for machinery fault diagnosis with dynamic validation and self-supervision

Wei Zhang, Hui Ma, Xiang Li, 2021, Knowl. Based Syst..

Machinery fault diagnosis with imbalanced data using deep generative adversarial networks

Xu Li, Wei Zhang, Xiaodong Jia, 2020 .

Interpretability of deep convolutional neural networks on rolling bearing fault diagnosis

Wei Zhang, Xiang Li, Huixin Yang, 2021, Measurement Science and Technology.

Analysis of the Management Effect of Cancer Patients after Oral Chemotherapy Based on Nursing Process Reengineering

Yan-qing Chen, Wei Zhang, Xiang Li, 2022, Journal of healthcare engineering.

Data alignments in machinery remaining useful life prediction using deep adversarial neural networks

Xu Li, Wei Zhang, Hui Ma, 2020, Knowl. Based Syst..

Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions

Hui Ma, Wei Zhang, Xiang Li, 2021, Reliab. Eng. Syst. Saf..

Deep Learning-Based Machinery Fault Diagnostics With Domain Adaptation Across Sensors at Different Places

Xiang Li, Wei Zhang, Qian Ding, 2020, IEEE Transactions on Industrial Electronics.

Deep learning-based adversarial multi-classifier optimization for cross-domain machinery fault diagnostics

Xu Li, Wei Zhang, Hui Ma, 2020 .

Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning

Hui Ma, Wei Zhang, Xu Li, 2021, IEEE Transactions on Industrial Informatics.

Predicting Tumor Perineural Invasion Status in High-Grade Prostate Cancer Based on a Clinical–Radiomics Model Incorporating T2-Weighted and Diffusion-Weighted Magnetic Resonance Images

Xiaoming Cao, Hui Zhang, Wei Zhang, 2022, Cancers.

Deep residual learning-based fault diagnosis method for rotating machinery.

Xiang Li, Wei Zhang, Qian Ding, 2019, ISA transactions.

Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks

Xiang Li, Wei Zhang, Qian Ding, 2019, IEEE Transactions on Industrial Electronics.

Federated Transfer Learning for Intelligent Fault Diagnostics Using Deep Adversarial Networks With Data Privacy

Wei Zhang, Xiang Li, Wei Zhang, 2021, IEEE/ASME Transactions on Mechatronics.

Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning

Hui Ma, Wei Zhang, Xu Li, 2021, IEEE Transactions on Industrial Informatics.

Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks

Wei Zhang, Zhong Luo, Hui Ma, 2020, Neural Networks.

Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation

Wei Zhang, Hui Ma, Zhong Luo, 2020, Neurocomputing.

Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning

Xiang Li, Xu Li, Wei Zhang, 2020, IEEE Transactions on Industrial Informatics.

Domain generalization in rotating machinery fault diagnostics using deep neural networks

Xu Li, Xiang Li, Wei Zhang, 2020, Neurocomputing.

Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism

Wei Zhang, Xiang Li, Qian Ding, 2019, Signal Process..

Deep Learning-Based Partial Domain Adaptation Method on Intelligent Machinery Fault Diagnostics

Xiang Li, Wei Zhang, Wei Zhang, 2021, IEEE Transactions on Industrial Electronics.

Deep learning-based prognostic approach for lithium-ion batteries with adaptive time-series prediction and on-line validation

Xu Li, Wei Zhang, Xiang Li, 2020 .

Data privacy preserving federated transfer learning in machinery fault diagnostics using prior distributions

Wei Zhang, Xiang Li, Wei Zhang, 2021, Structural Health Monitoring.

Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning

Xu Li, Zhong Luo, Wei Zhang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

The metabolic profile elucidation of Lonicera japonica flos water extract and the metabolic characteristics evaluation of bioactive compounds in human gastrointestinal tract in vitro.

Bin Liu, Yanli Chang, Rufeng Wang, 2022, Journal of pharmaceutical and biomedical analysis.

Cross-Domain Prognostic Method of Lithium-Ion Battery in New Energy Electric Aircraft With Domain Adaptation

Wei Zhang, Xiang Li, Yewei Zhang, 2023, IEEE Sensors Journal.

Deep-Learning-Based Information Fusion Methodology for Oil Film Coefficient Identification of Squeeze Film Dampers

Xiang Li, Jiaxuan Zhang, Wei Zhang, 2022, IEEE Sensors Journal.

Federated transfer learning in fault diagnosis under data privacy with target self-adaptation

Xu Li, Wei Zhang, Xiang Li, 2023, Journal of Manufacturing Systems.

Applied Computing and Artificial Intelligence

Wei Zhang, Xiang Li, Shuo Zhang, 2023, Mathematics.

Predictive value of the resistance of the probe to pass through the lesion in the diagnosis of peripheral pulmonary lesions using radial probe endobronchial ultrasound with a guide sheath

Yuchao Dong, Hai-dong Huang, Qin Wang, 2023, Frontiers in oncology.

High-bandwidth perovskite photonic sources on silicon

R. Friend, R. Penty, A. Wonfor, 2023, Nature Photonics.