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20222026
most citedEfficient Optimization of Variational Autoregressive Networks with Natural Gradient

3 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cond-mat.stat-mech2026

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…

q-bio.MN2025

Tracking large chemical reaction networks and rare events by neural networks

Jiayu Weng, Xinyi Zhu, Jing Liu +3

Chemical reaction networks are widely used to model stochastic dynamics in biophysical processes. Their exact probabilistic description via the chemical master equation becomes int…

quant-ph2025

Quantum Flow Matching

Zidong Cui, Pan Zhang, Ying Tang

The flow matching has rapidly become a dominant paradigm in classical generative modeling, offering an efficient way to interpolate between two complex distributions. We extend thi…

cond-mat.stat-mech2024★ 3 cited

Efficient Optimization of Variational Autoregressive Networks with Natural Gradient

Jing Liu, Ying Tang, Pan Zhang

Estimating free energy is a fundamental problem in statistical mechanics. Recently, machine-learning-based methods, particularly the variational autoregressive networks (VANs) have…

cond-mat.stat-mech2022★ 2 cited

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…