activity
20132023
most citedThe resilience of interdependent transportation networks under targeted attack

59 citations · 87 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023

Inferring Attracting Basins of Power System with Machine Learning

Yao Du, Qing Li, Huawei Fan +3

Power systems dominated by renewable energy encounter frequently large, random disturbances, and a critical challenge faced in power-system management is how to anticipate accurate…

nlin.AO2023★ 8 cited

Inferring synchronizability of networked heterogenous oscillators with machine learning

Liang Wang, Huawei Fan, Yafeng Wang +4

In the study of network synchronization, an outstanding question of both theoretical and practical significance is how to allocate a given set of heterogenous oscillators on a comp…

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…

physics.soc-ph2013★ 59 cited

The resilience of interdependent transportation networks under targeted attack

Peng Zhang, Baisong Cheng, Zhuang Zhao +4

Modern world builds on the resilience of interdependent infrastructures characterized as complex networks. Recently, a framework for analysis of interdependent networks has been de…