Liyao Lyu

Orcid: 0000-0003-2994-1464

According to our database1, Liyao Lyu authored at least 13 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
High-Dimensional Enhanced Sampling via Regularized Path-Dependent McKean-Vlasov Dynamics using Tensor Density Approximation.
CoRR, May, 2026

MVNN: A Measure-Valued Neural Network for Learning McKean-Vlasov Dynamics from Particle Data.
CoRR, April, 2026

2025
A stochastic branching particle method for solving non-conservative reaction-diffusion equations.
CoRR, October, 2025

On the Generalization Ability of Coarse-Grained Molecular Dynamics Models for Nonequilibrium Processes.
Multiscale Model. Simul., 2025

Consensus Based Stochastic Optimal Control.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
On the generalization ability of coarse-grained molecular dynamics models for non-equilibrium processes.
CoRR, 2024

2023
Consensus-based construction of high-dimensional free energy surface.
CoRR, 2023

2022
MIM: A deep mixed residual method for solving high-order partial differential equations.
J. Comput. Phys., 2022

2021
A Deep Learning Based Discontinuous Galerkin Method for Hyperbolic Equations with Discontinuous Solutions and Random Uncertainties.
CoRR, 2021

Reproducing Activation Function for Deep Learning.
CoRR, 2021

2020
Enforcing exact boundary and initial conditions in the deep mixed residual method.
CoRR, 2020

2019
Quasi-Monte Carlo sampling for machine-learning partial differential equations.
CoRR, 2019

Connecting exciton diffusion with surface roughness via deep learning.
CoRR, 2019


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