activity
20152025
most citedAnticipating synchronization with machine learning

79 citations · 248 across the 19 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

nlin.AO2021

Learning the dynamics of coupled oscillators from transients

Huawei Fan, Liang Wang, Yao Du +3

Whereas the importance of transient dynamics to the functionality and management of complex systems has been increasingly recognized, most of the studies are based on models. Yet i…

q-bio.NC2021★ 20 cited

Criticality in Reservoir Computer of Coupled Phase Oscillators

Liang Wang, Huawei Fan, Jinghua Xiao +2

Accumulating evidences show that the cerebral cortex is operating near a critical state featured by power-law size distribution of neural avalanche activities, yet evidence of this…

eess.SP2021★ 39 cited

Learning Hamiltonian dynamics by reservoir computer

Han Zhang, Huawei Fan, Liang Wang +1

Reconstructing the KAM dynamics diagram of Hamiltonian system from the time series of a limited number of parameters is an outstanding question in nonlinear science, especially whe…

nlin.AO2021★ 79 cited

Anticipating synchronization with machine learning

Huawei Fan, Ling-Wei Kong, Ying-Cheng Lai +1

In applications of dynamical systems, situations can arise where it is desired to predict the onset of synchronization as it can lead to characteristic and significant changes in t…

nlin.AO2021★ 19 cited

Eigenvector-based analysis of cluster synchronization in general complex networks of coupled chaotic oscillators

Huwei Fan, Xingang Wang

While symmetry has been exploited to analyze synchronization patterns in complex networks, the identification of symmetries in large-size network remains as a challenge. We present…