Yuhang Ming
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Hangzhou Dianzi Universityas 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
- 0000-0002-4548-6388
- OpenAlex ID
- A5067392418, A5123539677as 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 8
Benchmarking neural radiance fields for autonomous robots: An overview,
CGiS-Net: Aggregating Colour, Geometry and Implicit Semantic Features for Indoor Place Recognition,
Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization,
FD-SLAM: 3-D Reconstruction Using Features and Dense Matching,
Object-Augmented RGB-D SLAM for Wide-Disparity Relocalisation,
PVO: Panoptic Visual Odometry,
rgfc-Forest: An enhanced deep forest method towards small-sample fault diagnosis of electromechanical system,
Small sample gearbox fault diagnosis based on improved deep forest in noisy environments
← Authored by 8
Benchmarking neural radiance fields for autonomous robots: An overview,
CGiS-Net: Aggregating Colour, Geometry and Implicit Semantic Features for Indoor Place Recognition,
Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization,
FD-SLAM: 3-D Reconstruction Using Features and Dense Matching,
Object-Augmented RGB-D SLAM for Wide-Disparity Relocalisation,
PVO: Panoptic Visual Odometry,
rgfc-Forest: An enhanced deep forest method towards small-sample fault diagnosis of electromechanical system,
Small sample gearbox fault diagnosis based on improved deep forest in noisy environments
Affiliated with 3
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Summary
Yuhang Ming is a human[1].