Shibo Zhang
Biographic Data
| ID | 6262244 |
|---|---|
| NAME | Shibo Zhang |
| GIVEN NAMES | Shibo |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG S |
| AFFILIATIONS | Northwestern University |
| ORCID | 0000-0003-3852-6975 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Cost-Sensitive GNN-Based Imbalanced Learning for Mobile Social Network Fraud Detection
In recent years, the increasing prevalence of mobile social network fraud has led to significant distress and depletion of personal and social wealth, resulting in considerable economic harm. Graph neural networks (GNNs) have emerged as a popular approach to tackle this issue. However, the challenge of graph imbalance, which can greatly impede the effectiveness of GNN-based fraud detection methods, has received little attention in prior research.…
Challenges and coping experiences faced by nursing staff in long-term care facilities in China
Objective: The aim of this study is to discern the challenges and coping experiences encountered by nursing staff in long-term care facilities in China. This will be achieved through the identification, evaluation, and qualitative synthesis of comprehensive data. Design: This is a qualitative meta-analysis. Methods: The research systematically examined relevant literature sourced from six databases, concluding the search in August 2023. The inclu…
Association of number of bites and eating speed with energy intake
Association of number of bites and eating speed with energy intake
Cost-Sensitive GNN-Based Imbalanced Learning for Mobile Social Network Fraud Detection
In recent years, the increasing prevalence of mobile social network fraud has led to significant distress and depletion of personal and social wealth, resulting in considerable economic harm. Graph neural networks (GNNs) have emerged as a popular approach to tackle this issue. However, the challenge of graph imbalance, which can greatly impede the effectiveness of GNN-based fraud detection methods, has received little attention in prior research.…
Challenges and coping experiences faced by nursing staff in long-term care facilities in China
Objective: The aim of this study is to discern the challenges and coping experiences encountered by nursing staff in long-term care facilities in China. This will be achieved through the identification, evaluation, and qualitative synthesis of comprehensive data. Design: This is a qualitative meta-analysis. Methods: The research systematically examined relevant literature sourced from six databases, concluding the search in August 2023. The inclu…
Medicine (2 works) · Psychology (2 works) · Advanced Graph Neural Networks (1 work) · Artificial Intelligence (1 work) · China (1 work) · Clinical Psychology (1 work) · Computer network (1 work) · Computer Science (1 work) · Confusion matrix (1 work) · Data mining (1 work)