61 citations · 98 across the 5 of their papers we have counts for
6 papers
Nonequilibrium Dynamics of Simple Exclusion Processes Across Dimensions
Zhimao Liu, Jing Liu, Pan Zhang +1
The simple exclusion process (SEP) is a paradigmatic model for nonequilibrium transport, yet its rich dynamics over an exponentially large configuration space remain notoriously in…
Learning nonequilibrium statistical mechanics and dynamical phase transitions
Ying Tang, Jing Liu, Jiang Zhang +1
Nonequilibrium statistical mechanics exhibit a variety of complex phenomena far from equilibrium. It inherits challenges of equilibrium, including accurately describing the joint d…
Tensor networks for unsupervised machine learning
Jing Liu, Sujie Li, Jiang Zhang +1
Modeling the joint distribution of high-dimensional data is a central task in unsupervised machine learning. In recent years, many interests have been attracted to developing learn…
Gumbel-softmax-based Optimization: A Simple General Framework for Optimization Problems on Graphs
Yaoxin Li, Jing Liu, Guozheng Lin +3
In computer science, there exist a large number of optimization problems defined on graphs, that is to find a best node state configuration or a network structure such that the des…
Gumbel-softmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs
Jing Liu, Fei Gao, Jiang Zhang
Many problems in real life can be converted to combinatorial optimization problems (COPs) on graphs, that is to find a best node state configuration or a network structure such tha…
A General Deep Learning Framework for Network Reconstruction and Dynamics Learning
Zhang Zhang, Yi Zhao, Jing Liu +4
Many complex processes can be viewed as dynamical systems on networks. However, in real cases, only the performances of the system are known, the network structure and the dynamica…