Zelin Zang
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Westlake University, Centre for Artificial Intelligence and Robotics, Artificial Intelligence in Medicine (Canada)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
- 0000-0003-2831-5437
- OpenAlex ID
- A5007012841, A5121149614, A5133652025as 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 10
Artificial intelligence defines protein-based classification of thyroid nodules,
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier,
DMT-EV: An Explainable Deep Network for Dimension Reduction,
Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements,
Hybrid Deep Neural Network Scheduler for Job-Shop Problem Based on Convolution Two-Dimensional Transformation,
Phenotype Classification using Proteome Data in a Data-Independent Acquisition Tensor Format,
Structure-preserving visualization for single-cell RNA-Seq profiles using deep manifold transformation with batch-correction,
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks
+2 more
← Authored by 10
Artificial intelligence defines protein-based classification of thyroid nodules,
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier,
DMT-EV: An Explainable Deep Network for Dimension Reduction,
Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements,
Hybrid Deep Neural Network Scheduler for Job-Shop Problem Based on Convolution Two-Dimensional Transformation,
Phenotype Classification using Proteome Data in a Data-Independent Acquisition Tensor Format,
Structure-preserving visualization for single-cell RNA-Seq profiles using deep manifold transformation with batch-correction,
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks
+2 more
Affiliated with 3
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Summary
Zelin Zang is a human[1].