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Liyao Lyu, Huan Lei*. 2023.
"Consensus-based construction of high-dimensional free energy surface"
Arxiv
[PDF]
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Liyao Lyu, Jingrun Chen. 2025.
"Consensus Based Stochastic Control"
International Conference on Machine Learning
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Liyao Lyu, Huan Lei*. 2025.
"On the generalization ability of coarse-grained molecular dynamics models for non-equilibrium processes"
Multiscale Modeling & Simulation
[PDF]
- Liyao Lyu, Huan Lei*. 2023.
"Construction of coarse-grained molecular dynamics with many-body non-Markovian memory"
Physical Review Letters
[PDF]
- Senwei Liang, Liyao Lyu, Chunmei Wang, Haizhao Yang. 2023. "
Reproducing Activation Function for Deep Learning"
Communication in Mathematical Sciences
[PDF]
- Liyao Lyu, Zhen Zhang, Minxin Chen, Jingrun Chen. 2022.
"MIM: A deep mixed residual method for solving high-order partial differential equations"
Journal of Computational Physics
[PDF]
- Jingrun Chen, Shi Jin, Liyao Lyu. 2022.
"A Consensus-Based Global Optimization Method with Adaptive Momentum Estimation"
Communications in Computational Physics
[PDF]
- Jingrun Chen, Shi Jin, Liyao Lyu. 2022. "
A Deep Learning Based Discontinuous Galerkin Method for Hyperbolic Equations with Discontinuous Solutions and Random Uncertainties"
Journal of Computational Mathematics
[PDF]
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Liyao Lyu, Zheng Chen.
2022.
"Local Discontinuous Galerkin Methods with Novel Basis for Fractional Diffusion Equations with Non-smooth Solutions"
Communications on Applied Mathematics and Computation
[PDF]
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Liyao Lyu, Keke Wu, Rui Du,*, Jingrun Chen*.
2021.
"Enforcing exact boundary and initial conditions in the deep mixed residual method"
CSIAM Transactions on Applied Mathematics
[PDF]
[CODE].
- Jingrun Chen, Rui Du, Panchi Li, and Liyao Lyu .
2021.
“Quasi-Monte Carlo Sampling for Solving Partial Differential Equations by Deep Neural Networks”
Numerical Mathematics Theory Methods and Applications.
[PDF].
- Liyao Lyu , Zhiwen Zhang*, and Jingrun Chen*.
2020.
“A Qmc-Deep Learning Method for Diffusivity Estimation in Random Domains.”
Numerical Mathematics Theory Methods and Applications.
[PDF].