118 citations · 143 across the 3 of their papers we have counts for
3 papers
nlin.CD2026
Dynamics Creation through Neural Dynamical Transfer Learning
He Ma, Qiyang Ge, Yu Meng +2
Data-driven machine learning has established a robust foundation for reconstructing nonlinear dynamical systems from observations, primarily for the purposes of forecasting and con…
q-bio.PE2020★ 25 cited
Forecasting and evaluating intervention of Covid-19 in the World
Zixin Hu, Qiyang Ge, Shudi Li +3
When the Covid-19 pandemic enters dangerous new phase, whether and when to take aggressive public health interventions to slow down the spread of COVID-19. To develop the artificia…
q-bio.OT2020★ 118 cited
Artificial Intelligence Forecasting of Covid-19 in China
Zixin Hu, Qiyang Ge, Shudi Li +2
BACKGROUND An alternative to epidemiological models for transmission dynamics of Covid-19 in China, we propose the artificial intelligence (AI)-inspired methods for real-time forec…