activity
20192024
most citedEscape dynamics based on bounded rationality

18 citations · 44 across the 5 of their papers we have counts for

collaborators

5 papers

hep-lat2024★ 3 cited

Building imaginary-time thermal field theory with artificial neural networks

Tian Xu, Lingxiao Wang, Lianyi He +2

In this study, we introduce a novel approach in quantum field theories to estimate the action using the artificial neural networks (ANNs). The estimation is achieved by learning on…

physics.soc-ph2020★ 5 cited

Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk

Lingxiao Wang, Tian Xu, Till Hannes Stoecker +3

As the COVID-19 pandemic continues to ravage the world, it is of critical significance to provide a timely risk prediction of the COVID-19 in multi-level. To implement it and evalu…

physics.comp-ph2020★ 2 cited

Neural Network Statistical Mechanics

Lingxiao Wang, Yin Jiang, Kai Zhou

We propose a general framework to extract microscopic interactions from raw configurations with deep neural networks. The approach replaces the modeling Hamiltonian by the neural n…

cond-mat.dis-nn2020★ 16 cited

Continuous-mixture Autoregressive Networks for efficient variational calculation of many-body systems

Lingxiao Wang, Yin Jiang, Lianyi He +1

We develop deep autoregressive networks with multi channels to compute many-body systems with \emph{continuous} spin degrees of freedom directly. As a concrete example, we embed th…

physics.soc-ph2019★ 18 cited

Escape dynamics based on bounded rationality

Lingxiao Wang, Yin Jiang

The bounded rationality plays a vital role in the collective behavior of the evacuation process. Also investigating human behavior in such an extreme situation is a continuing conc…