Bing Wei
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Shandong University, Donghua University, Rwandan Ministry of Education, Beijing Research Institute of Automation for Machinery Industry (China)as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-2298-1474
- OpenAlex ID
- A5064572247, A5136240658as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 31
A biologically inspired visual integrated model for image classification,
A conditional variational autoencoder based self-transferred algorithm for imbalanced classification,
A just-in-time modeling approach for multimode soft sensor based on Gaussian mixture variational autoencoder,
Analysis and improvement of non-contact SpO2 extraction using an RGB webcam,
An efficient solder joint defects method for 3D point clouds with double-flow region attention network,
A new method using the convolutional neural network with compressive sensing for fabric defect classification based on small sample sizes,
A novel deep learning model based on the ICA and Riemannian manifold for EEG-based emotion recognition,
A novel dimensional variational prototypical network for industrial few-shot fault diagnosis with unseen faults
+23 more
← Authored by 31
A biologically inspired visual integrated model for image classification,
A conditional variational autoencoder based self-transferred algorithm for imbalanced classification,
A just-in-time modeling approach for multimode soft sensor based on Gaussian mixture variational autoencoder,
Analysis and improvement of non-contact SpO2 extraction using an RGB webcam,
An efficient solder joint defects method for 3D point clouds with double-flow region attention network,
A new method using the convolutional neural network with compressive sensing for fabric defect classification based on small sample sizes,
A novel deep learning model based on the ICA and Riemannian manifold for EEG-based emotion recognition,
A novel dimensional variational prototypical network for industrial few-shot fault diagnosis with unseen faults
+23 more
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Summary
Bing Wei is a human[1].