Guangmin Zheng
Biographic Data
| ID | 9995435 |
|---|---|
| NAME | Guangmin Zheng |
| GIVEN NAMES | Guangmin |
| FAMILY NAME | Zheng |
| SIGNATURE | ZHENG G |
| AFFILIATIONS | Guangzhou Medical University |
| ORCID | 0009-0001-7448-5114 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Enhancing Grid Tagging Scheme with Hybrid Contrastive Learning for Aspect Sentiment Triplet Extraction
Aspect sentiment triplet extraction (ASTE) jointly extracts aspect terms, opinion terms, and their associated sentiment polarities. The main challenge is accurately matching aspect–opinion pairs and modeling their sentiment relationships. Recent approaches have attempted to model syntactic dependencies by stacking complex graph neural networks (GNNs) on top of transformers. However, these approaches often have noisy connections, incur substantial…
Transmission of Mycobacterium tuberculosis in schools
Background: China is a country with a high burden of tuberculosis (TB). TB outbreaks are frequent in schools. Thus, understanding the transmission patterns is crucial for controlling TB. Method: strains isolated from patients with TB attending schools during 2015 to 2019 in Guangzhou, China. Result: The TB incidence was mainly concentrated in regular secondary schools and technical and vocational schools. The incidence of drug resistance among th…
No prominent works on this page.
Transmission of Mycobacterium tuberculosis in schools
Background: China is a country with a high burden of tuberculosis (TB). TB outbreaks are frequent in schools. Thus, understanding the transmission patterns is crucial for controlling TB. Method: strains isolated from patients with TB attending schools during 2015 to 2019 in Guangzhou, China. Result: The TB incidence was mainly concentrated in regular secondary schools and technical and vocational schools. The incidence of drug resistance among th…
Enhancing Grid Tagging Scheme with Hybrid Contrastive Learning for Aspect Sentiment Triplet Extraction
Aspect sentiment triplet extraction (ASTE) jointly extracts aspect terms, opinion terms, and their associated sentiment polarities. The main challenge is accurately matching aspect–opinion pairs and modeling their sentiment relationships. Recent approaches have attempted to model syntactic dependencies by stacking complex graph neural networks (GNNs) on top of transformers. However, these approaches often have noisy connections, incur substantial…
Biology (1 work) · Deep learning (1 work) · Diagnosis and treatment of tuberculosis (1 work) · Environmental health (1 work) · Epidemiology (1 work) · Gene (1 work) · Genetics (1 work) · Genotype (1 work) · Graph (1 work) · Grid (1 work)