Wenchong He
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Sichuan University, University of Florida, West China Second University Hospital, West China Hospitalas 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
- 0000-0001-8115-1115
- OpenAlex ID
- A5070903469as 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
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 6
A Hidden Markov Contour Tree Model for Spatial Structured Prediction,
A Survey on Uncertainty Quantification Methods for Deep Learning,
CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis,
Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training,
Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery,
Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels
← Authored by 6
A Hidden Markov Contour Tree Model for Spatial Structured Prediction,
A Survey on Uncertainty Quantification Methods for Deep Learning,
CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis,
Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training,
Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery,
Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels
Affiliated with 2
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Summary
Wenchong He is a human[1].