Zilin Cheng
Biographic Data
| ID | 7955462 |
|---|---|
| NAME | Zilin Cheng |
| GIVEN NAMES | Zilin |
| FAMILY NAME | Cheng |
| SIGNATURE | CHENG Z |
| AFFILIATIONS | Weill Cornell Medicine |
| ORCID | 0009-0000-9573-3968 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Empowering migrant worker households
This study establishes a Digital Buffer Enhancement framework based on the buffer-stock model to investigate how digital finance affects consumption levels of migrant worker households, with implications for inclusive growth and sustainable development. Utilizing microdata from the 2019 China Household Finance Survey (CHFS) and applying Endogenous Switching Regression (ESR), Instrumental Variable (IV) approach, and quantile regression analysis, t…
Automated classification of lay health articles using natural language processing
Utilizing NLP, we can guide patients to high-quality lay reading materials as cost-effective, readily available health education and communication sources. This approach allows us to scale the information delivery specifically to individuals, enhancing the relevance and impact of the materials provided
No prominent works on this page.
Automated classification of lay health articles using natural language processing
Utilizing NLP, we can guide patients to high-quality lay reading materials as cost-effective, readily available health education and communication sources. This approach allows us to scale the information delivery specifically to individuals, enhancing the relevance and impact of the materials provided
Empowering migrant worker households
This study establishes a Digital Buffer Enhancement framework based on the buffer-stock model to investigate how digital finance affects consumption levels of migrant worker households, with implications for inclusive growth and sustainable development. Utilizing microdata from the 2019 China Household Finance Survey (CHFS) and applying Endogenous Switching Regression (ESR), Instrumental Variable (IV) approach, and quantile regression analysis, t…
Access to Finance (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Database transaction (1 work) · Digital transformation (1 work) · Financial Literacy, Pension, Retirement Analysis (1 work) · FinTech, Crowdfunding, Digital Finance (1 work) · Gestational Diabetes Research and Management (1 work) · Instrumental variable (1 work) · Machine learning (1 work)