Zhenyu Shan
Biographic Data
| ID | 9966905 |
|---|---|
| NAME | Zhenyu Shan |
| GIVEN NAMES | Zhenyu |
| FAMILY NAME | Shan |
| SIGNATURE | SHAN Z |
| AFFILIATIONS | Southwest Jiaotong University |
| ORCID | 0009-0004-6058-4922 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Hybrid Learning Model of Global–Local Graph Attention Network and XGBoost for Inferring Origin–Destination Flows
Origin–destination (OD) flows are essential for urban studies, yet their acquisition is often hampered by high costs and privacy constraints. Prevailing inference methodologies inadequately address latent spatial dependencies between non-contiguous and distant areas, which are useful for understanding modern transportation systems with expanding regional interactions. To address these challenges, this paper propose a hybrid learning model with th…
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Hybrid Learning Model of Global–Local Graph Attention Network and XGBoost for Inferring Origin–Destination Flows
Origin–destination (OD) flows are essential for urban studies, yet their acquisition is often hampered by high costs and privacy constraints. Prevailing inference methodologies inadequately address latent spatial dependencies between non-contiguous and distant areas, which are useful for understanding modern transportation systems with expanding regional interactions. To address these challenges, this paper propose a hybrid learning model with th…
Artificial Intelligence (1 work) · Computer Science (1 work) · Graph (1 work) · Human Mobility and Location-Based Analysis (1 work) · Impact of Light on Environment and Health (1 work) · Theoretical Computer Science (1 work) · Video Surveillance and Tracking Methods (1 work)