Zhengyi Li
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Kunming University of Science and Technology, Inner Mongolia Agricultural University, Central South University, Anhui University, Ministry of Agriculture, Baoji City Central 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
- 0000-0002-2808-8767
- OpenAlex ID
- A5100606795as 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 16
A Parametric Optimization Oriented, AFSA Based Random Forest Algorithm: Application to the Detection of Cervical Epithelial Cells,
A pillar[5]arene-based artificial light-harvesting system with red emission for high-resolution imaging of latent fingerprints,
Automated detection and segmentation of pleural effusion on ultrasound images using an Attention U‐net,
Block-Skim: Efficient Question Answering for Transformer,
Central pixel selection strategy based on local gray-value distribution by using gradient information to enhance LBP for texture classification,
Deep learning for emergency ascites diagnosis using ultrasonography images,
Differentially Private Frequent Itemset Mining via Transaction Splitting,
Differentially private frequent sequence mining via sampling-based candidate pruning
+8 more
← Authored by 16
A Parametric Optimization Oriented, AFSA Based Random Forest Algorithm: Application to the Detection of Cervical Epithelial Cells,
A pillar[5]arene-based artificial light-harvesting system with red emission for high-resolution imaging of latent fingerprints,
Automated detection and segmentation of pleural effusion on ultrasound images using an Attention U‐net,
Block-Skim: Efficient Question Answering for Transformer,
Central pixel selection strategy based on local gray-value distribution by using gradient information to enhance LBP for texture classification,
Deep learning for emergency ascites diagnosis using ultrasonography images,
Differentially Private Frequent Itemset Mining via Transaction Splitting,
Differentially private frequent sequence mining via sampling-based candidate pruning
+8 more
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Summary
Zhengyi Li is a human[1].