Jie Wang

According to our database, Jie Wang authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A novel interpretable fault diagnosis method using multi-image feature extraction and attention fusion.

Jie Wang, Haidong Shao, Jing He, Le Liu, Jingqiang Ma, Bin Liu

Pattern Recognit. Lett., 2025

From deterministic to Bayesian: Adapting pre-trained models for human-computer collaborative fault diagnosis via post-hoc uncertainty.

Yiming Xiao, Haidong Shao, Jie Wang, Baoping Cai, Bin Liu

J. Ind. Inf. Integr., 2025

Domain-augmented meta ensemble learning for mechanical fault diagnosis from heterogeneous source domains to unseen target domains.

Yiming Xiao, Haidong Shao, Jie Wang, Baoping Cai, Bin Liu

Expert Syst. Appl., 2025

Domain generalization for rotating machinery fault diagnosis: A survey.

Yiming Xiao, Haidong Shao, Shen Yan, Jie Wang, Ying Peng, Bin Liu

Adv. Eng. Informatics, 2025

2024

PSparseFormer: Enhancing Fault Feature Extraction Based on Parallel Sparse Self-Attention and Multiscale Broadcast Feedforward Block.

Jie Wang, Haidong Shao, Ying Peng, Bin Liu

IEEE Internet Things J., July, 2024

LiConvFormer: A lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention.

Shen Yan, Haidong Shao, Jie Wang, Xinyu Zheng, Bin Liu

Expert Syst. Appl., March, 2024

Utilizing Bayesian generalization network for reliable fault diagnosis of machinery with limited data.

Minjie Feng, Haidong Shao, Minghui Shao, Yiming Xiao, Jie Wang, Bin Liu

Knowl. Based Syst., 2024

SFDA-T: A novel source-free domain adaptation method with strong generalization ability for fault diagnosis.

Jie Wang, Haidong Shao, Yiming Xiao, Bin Liu

Adv. Eng. Informatics, 2024

2023

C-ECAFormer: A new lightweight fault diagnosis framework towards heavy noise and small samples.

Jie Wang, Haidong Shao, Shen Yan, Bin Liu

Eng. Appl. Artif. Intell., November, 2023