Lei Li
Orcid: 0000-0001-5304-8380Affiliations:
- Duke University, Department of Mathematics, Durham, NC, USA
- University of Wisconsin Madison, Department of Mathematics, WI, USA (PhD 2015)
- Shanghai Jiao Tong University, Institute of Natural Sciences, China
According to our database1,
Lei Li
authored at least 26 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
A Machine Learning Framework for Geodesics Under Spherical Wasserstein-Fisher-Rao Metric and Its Application for Weighted Sample Generation.
J. Sci. Comput., January, 2024
On the Convergence of Continuous and Discrete Unbalanced Optimal Transport Models for 1-Wasserstein Distance.
SIAM J. Numer. Anal., 2024
2023
A class of monotonicity-preserving variable-step discretizations for Volterra integral equations and time fractional ordinary differential equations.
CoRR, 2023
2022
Multiscale Model. Simul., March, 2022
2021
SIAM J. Sci. Comput., 2021
Convergence of the Random Batch Method for Interacting Particles with Disparate Species and Weights.
SIAM J. Numer. Anal., 2021
Random Batch Methods for classical and quantum interacting particle systems and statistical samplings.
CoRR, 2021
2020
SIAM J. Sci. Comput., 2020
Large time behaviors of upwind schemes and B-schemes for Fokker-Planck equations on ℝ by jump processes.
Math. Comput., 2020
CoRR, 2020
A direct simulation approach for the Poisson-Boltzmann equation using the Random Batch Method.
CoRR, 2020
2019
A Discretization of Caputo Derivatives with Application to Time Fractional SDEs and Gradient Flows.
SIAM J. Numer. Anal., 2019
CoRR, 2019
Uniform-in-Time Weak Error Analysis for Stochastic Gradient Descent Algorithms via Diffusion Approximation.
CoRR, 2019
2018
SIAM J. Math. Anal., 2018
A Generalized Definition of Caputo Derivatives and Its Application to Fractional ODEs.
SIAM J. Math. Anal., 2018
SIAM J. Math. Anal., 2018
2017
J. Sci. Comput., 2017
A Modified Levy Jump-Diffusion Model Based on Market Sentiment Memory for Online Jump Prediction.
CoRR, 2017
Batch Size Matters: A Diffusion Approximation Framework on Nonconvex Stochastic Gradient Descent.
CoRR, 2017