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Ming-Fan Li

3 papers hereh-index 6104 citations16 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.str-el1
  • cs.DC1
  • quant-ph1
same name
  • Ming-fan Li — 5 papers, h 7
  • Ming-Fan Li — 1 paper

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
20212026
most cited21296 Exponentially Complex Quantum Many-Body Simulation via Scalable Deep Learning Method

15 citations · 15 across the 3 of their papers we have counts for

collaborators

3 papers

cs.DC2026

UBEP: Re-architecting Expert Parallelism Communication Library for Production Superpods

Yipeng Liu, Chang Liu, Si Shen +16

The deployment of Mixture-of-Experts (MoE) models on production high-bandwidth superpods, such as NVIDIA's NVL72/576 and Huawei's CloudMatrix384, introduces critical challenges bey…

quant-ph2022★ 15 cited

21296 Exponentially Complex Quantum Many-Body Simulation via Scalable Deep Learning Method

Xiao Liang, Mingfan Li, Qian Xiao +12

For decades, people are developing efficient numerical methods for solving the challenging quantum many-body problem, whose Hilbert space grows exponentially with the size of the p…

cond-mat.str-el2021

Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-scale Simulations on New Generation of Sunway Supercomputer

Mingfan Li, Junshi Chen, Qian Xiao +7

Efficient numerical methods are promising tools for delivering unique insights into the fascinating properties of physics, such as the highly frustrated quantum many-body systems.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.