Jie Wang

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cross-domain attention guided multi-source domain adaptation method for machinery fault diagnosis.
Eng. Appl. Artif. Intell.
Jie Wang, Jianning Gou, Haidong Shao, Yiming Xiao, Ying Peng, Bin Liu
2026 J jnl
Dual-stage interpretable domain generalization fault diagnosis: integrating prior knowledge and gradient-weighted class activation mapping.
Eng. Appl. Artif. Intell.
Ying Peng, Haidong Shao, Yiming Xiao, Jie Wang, Bin Liu
2025 J jnl
A novel interpretable fault diagnosis method using multi-image feature extraction and attention fusion.
Pattern Recognit. Lett.
Jie Wang, Haidong Shao, Jing He, Le Liu, Jingqiang Ma, Bin Liu
2025 J jnl
Domain generalization for rotating machinery fault diagnosis: A survey.
Adv. Eng. Informatics
Yiming Xiao, Haidong Shao, Shen Yan, Jie Wang, Ying Peng, Bin Liu
2025 J jnl
Domain-augmented meta ensemble learning for mechanical fault diagnosis from heterogeneous source domains to unseen target domains.
Expert Syst. Appl.
Yiming Xiao, Haidong Shao, Jie Wang, Baoping Cai, Bin Liu
2025 J jnl
From deterministic to Bayesian: Adapting pre-trained models for human-computer collaborative fault diagnosis via post-hoc uncertainty.
J. Ind. Inf. Integr.
Yiming Xiao, Haidong Shao, Jie Wang, Baoping Cai, Bin Liu
2024 J jnl
LiConvFormer: A lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention.
Expert Syst. Appl.
Shen Yan, Haidong Shao, Jie Wang, Xinyu Zheng, Bin Liu
2024 J jnl
PSparseFormer: Enhancing Fault Feature Extraction Based on Parallel Sparse Self-Attention and Multiscale Broadcast Feedforward Block.
IEEE Internet Things J.
Jie Wang, Haidong Shao, Ying Peng, Bin Liu
2024 J jnl
SFDA-T: A novel source-free domain adaptation method with strong generalization ability for fault diagnosis.
Adv. Eng. Informatics
Jie Wang, Haidong Shao, Yiming Xiao, Bin Liu
2024 J jnl
Utilizing Bayesian generalization network for reliable fault diagnosis of machinery with limited data.
Knowl. Based Syst.
Minjie Feng, Haidong Shao, Minghui Shao, Yiming Xiao, Jie Wang, Bin Liu
2023 J jnl
C-ECAFormer: A new lightweight fault diagnosis framework towards heavy noise and small samples.
Eng. Appl. Artif. Intell.
Jie Wang, Haidong Shao, Shen Yan, Bin Liu