Wenbo Mu
Biographic Data
| ID | 10055213 |
|---|---|
| NAME | Wenbo Mu |
| GIVEN NAMES | Wenbo |
| FAMILY NAME | Mu |
| SIGNATURE | MU W |
| AFFILIATIONS | Shanghai Jiao Tong University |
| ORCID | 0009-0009-1154-5560 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Can Contrastive Learning Always be Trusted? Privacy Leakage Evaluation of Contrastive Learning for Graph Neural Networks
Contrastive learning, as an efficient unsupervised learning, has been extensively studied for improving graph neural network (GNN) in graph-structured data mining. With the wider application of GNN, recent work has revealed that it is vulnerable toward privacy leakage (e.g., property inference). How dose contrastive learning influence privacy leakage of GNN? To address the issue, for the first time we comprehensively evaluate the privacy leakage …
Association between adaptive capacity and readiness for hospital discharge among patients with acute myocardial infarction
Background Readiness for hospital discharge is a crucial concept in acute myocardial infarction (AMI). Positive coping and adaptation strategies are recognized as health assets that can enhance outcomes in cardiovascular disease. This study aims to investigate the relationship between readiness for hospital discharge and the patients’ adaptive capacity. Materials and methods A cross-sectional observational study was conducted from July 2021 to Ma…
Upward violence against nurse managers in the workplace
Background: Although workplace violence is a well-documented concern in healthcare, most research has focused on vertical and horizontal forms, with limited attention to upward violence. This overlooked phenomenon may undermine nurse managers' occupational well-being and diminish their organizational commitment. To address this gap, this scoping review synthesizes and maps the existing evidence on upward violence against nurse managers. Methods: …
No prominent works on this page.
Association between adaptive capacity and readiness for hospital discharge among patients with acute myocardial infarction
Background Readiness for hospital discharge is a crucial concept in acute myocardial infarction (AMI). Positive coping and adaptation strategies are recognized as health assets that can enhance outcomes in cardiovascular disease. This study aims to investigate the relationship between readiness for hospital discharge and the patients’ adaptive capacity. Materials and methods A cross-sectional observational study was conducted from July 2021 to Ma…
Upward violence against nurse managers in the workplace
Background: Although workplace violence is a well-documented concern in healthcare, most research has focused on vertical and horizontal forms, with limited attention to upward violence. This overlooked phenomenon may undermine nurse managers' occupational well-being and diminish their organizational commitment. To address this gap, this scoping review synthesizes and maps the existing evidence on upward violence against nurse managers. Methods: …
Can Contrastive Learning Always be Trusted? Privacy Leakage Evaluation of Contrastive Learning for Graph Neural Networks
Contrastive learning, as an efficient unsupervised learning, has been extensively studied for improving graph neural network (GNN) in graph-structured data mining. With the wider application of GNN, recent work has revealed that it is vulnerable toward privacy leakage (e.g., property inference). How dose contrastive learning influence privacy leakage of GNN? To address the issue, for the first time we comprehensively evaluate the privacy leakage …
Acute hospital (1 work) · Acute Myocardial Infarction Research (1 work) · Adversarial Robustness in Machine Learning (1 work) · Artificial neural network (1 work) · Cardiac Health and Mental Health (1 work) · Cyberloafing and Workplace Behavior (1 work) · Graph (1 work) · Graph theory (1 work) · Heart Failure Treatment and Management (1 work) · Hospital admission (1 work)