Wenbing Huang
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Beijing Academy of Artificial Intelligence, Qingdao Academy of Intelligent Industries, Next Generation Technology (United States), Dali University, Renmin University of China, National Academy of Governanceas 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
- 0000-0002-2566-4159
- OpenAlex ID
- A5032642601, A5125555027, A5133801008as 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 68
Adaptive Sampling Towards Fast Graph Representation Learning,
Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge,
A Fast and Accurate One-Stage Approach to Visual Grounding,
An Efficient Sequential Embedding ConvNet for Rotating Machinery Intelligent Fault Diagnosis,
A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples,
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models,
A survey of geometric graph neural networks: data structures, models and applications,
A Weight Multinet Architecture for Bearing Fault Classification Under Complex Speed Conditions
+60 more
← Authored by 68
Adaptive Sampling Towards Fast Graph Representation Learning,
Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge,
A Fast and Accurate One-Stage Approach to Visual Grounding,
An Efficient Sequential Embedding ConvNet for Rotating Machinery Intelligent Fault Diagnosis,
A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples,
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models,
A survey of geometric graph neural networks: data structures, models and applications,
A Weight Multinet Architecture for Bearing Fault Classification Under Complex Speed Conditions
+60 more
Affiliated with 15
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Summary
Wenbing Huang is a human[1].