Zige Liu
Biographic Data
| ID | 10020089 |
|---|---|
| NAME | Zige Liu |
| GIVEN NAMES | Zige |
| FAMILY NAME | Liu |
| SIGNATURE | LIU Z |
| AFFILIATIONS | Macau University of Science and Technology |
| ORCID | 0000-0002-6659-3692 |
| VERIFIED | No |
| 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 |
FaXNet
Background: Accurate and interpretable influenza forecasting is critical for public health preparedness, yet many models struggle to capture multi-scale temporal dynamics and to provide reliable uncertainty estimates. These challenges are particularly pronounced in China, where influenza seasonality differs between northern temperate and southern subtropical regions. Methods: We propose FaXNet, a frequency-adaptive, explainable, and uncertainty-a…
Daily fluctuations in Covid-19 infection rates under Tokyo’s epidemic prevention measures – new evidence from adaptive Fourier decomposition
Background The COVID-19 pandemic has witnessed widespread infections and variants. Particularly, Tokyo faced the challenge of seven waves of COVID-19, during which government interventions played a pivotal role. Therefore, gaining a comprehensive understanding of government control measures is of paramount importance, which is beneficial for health authorities in the policy development process. Method Our study analysis the daily change data of t…
No prominent works on this page.
Daily fluctuations in Covid-19 infection rates under Tokyo’s epidemic prevention measures – new evidence from adaptive Fourier decomposition
Background The COVID-19 pandemic has witnessed widespread infections and variants. Particularly, Tokyo faced the challenge of seven waves of COVID-19, during which government interventions played a pivotal role. Therefore, gaining a comprehensive understanding of government control measures is of paramount importance, which is beneficial for health authorities in the policy development process. Method Our study analysis the daily change data of t…
FaXNet
Background: Accurate and interpretable influenza forecasting is critical for public health preparedness, yet many models struggle to capture multi-scale temporal dynamics and to provide reliable uncertainty estimates. These challenges are particularly pronounced in China, where influenza seasonality differs between northern temperate and southern subtropical regions. Methods: We propose FaXNet, a frequency-adaptive, explainable, and uncertainty-a…
Climate variability and models (1 work) · Covariate (1 work) · COVID-19 and Mental Health (1 work) · COVID-19 epidemiological studies (1 work) · Data set (1 work) · Data-Driven Disease Surveillance (1 work) · Disease (1 work) · Econometrics (1 work) · Influenza Virus Research Studies (1 work) · Mathematics (1 work)