◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Lei Li

11 papers hereh-index 211.1k citations47 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author5
  • last author4

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • math.NA4
  • physics.comp-ph4
  • cs.LG1
  • math.OC1
  • math.PR1
same name
  • Lei Li — 406 papers, h 52
  • Lei Li — 318 papers
  • Lei Li — 158 papers, h 7
  • Lei Li — 135 papers, h 62
  • Lei Li — 118 papers
  • Lei Li — 46 papers, h 31

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedSuperscalability of the random batch Ewald method

35 citations · 127 across the 11 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

physics.comp-ph2020★ 6 cited

A random batch Ewald method for particle systems with Coulomb interactions

Shi Jin, Lei Li, Zhenli Xu +1

We develop a random batch Ewald (RBE) method for molecular dynamics simulations of particle systems with long-range Coulomb interactions, which achieves an O(N) complexity in eac…

math.PR2020

On the mean field limit of the Random Batch Method for interacting particle systems

Shi Jin, Lei Li

The Random Batch Method proposed in our previous work [Jin et al., J. Comput. Phys., 400(1), 2020] is not only a numerical method for interacting particle systems and its mean-fiel…

math.NA2020★ 6 cited

Convergence of Random Batch Method for interacting particles with disparate species and weights

Shi Jin, Lei Li, Jian-Guo Liu

We consider in this work the convergence of Random Batch Method proposed in our previous work [Jin et al., J. Comput. Phys., 400(1), 2020] for interacting particles to the case of…

physics.comp-ph2020★ 32 cited

A random-batch Monte Carlo method for many-body systems with singular kernels

Lei Li, Zhenli Xu, Yue Zhao

We propose a fast potential splitting Markov Chain Monte Carlo method which costs O(1) time each step for sampling from equilibrium distributions (Gibbs measures) corresponding t…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.