Zhou Hu
Biographic Data
| ID | 6945492 |
|---|---|
| NAME | Zhou Hu |
| GIVEN NAMES | Zhou |
| FAMILY NAME | Hu |
| SIGNATURE | HU Z |
| AFFILIATIONS | South China Normal University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Building-Level Population Estimation Method Using a Bayesian-Informed Hierarchical Learning Model
Although fine-grained spatial knowledge of the urban population distribution is fundamental for effective urban management, traditional census data lack sufficient resolution. Current disaggregation methods often struggle to probabilistically fuse heterogeneous data, such as noisy mobile signaling and building attributes, while ensuring hierarchical consistency between micro-level predictions and macro-level ground truth. To address these gaps, t…
Beyond Traditional Love
The phenomenon of young people avoiding the Spring Festival refers to the choice and behavior of some young people to avoid going home for the New Year due to their fear of the pressure of traditional festivals or to avoid being influenced by multiple groups such as parents and relatives and friends. The motives behind the phenomenon of young people avoiding the New Year mainly stem from their avoidance of marital and romantic relationship issues…
No prominent works on this page.
Beyond Traditional Love
The phenomenon of young people avoiding the Spring Festival refers to the choice and behavior of some young people to avoid going home for the New Year due to their fear of the pressure of traditional festivals or to avoid being influenced by multiple groups such as parents and relatives and friends. The motives behind the phenomenon of young people avoiding the New Year mainly stem from their avoidance of marital and romantic relationship issues…
Building-Level Population Estimation Method Using a Bayesian-Informed Hierarchical Learning Model
Although fine-grained spatial knowledge of the urban population distribution is fundamental for effective urban management, traditional census data lack sufficient resolution. Current disaggregation methods often struggle to probabilistically fuse heterogeneous data, such as noisy mobile signaling and building attributes, while ensuring hierarchical consistency between micro-level predictions and macro-level ground truth. To address these gaps, t…
Anxiety (1 work) · demographic modeling and climate adaptation (1 work) · Dilemma (1 work) · Education, Sociology, Communication Studies (1 work) · Estimator (1 work) · Face (sociological concept (1 work) · Family Dynamics and Relationships (1 work) · Hierarchical database model (1 work) · Human Mobility and Location-Based Analysis (1 work) · Impact of Light on Environment and Health (1 work)