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Zhong Ming

4 papers here

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

author position
  • first author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IT1
  • math.DS1
  • nlin.SI1
  • physics.soc-ph1
ORCID 0000-0001-9310-3460
same name
  • Zhong Ming — 1 paper
  • Zhong Ming — 1 paper
  • Zhong Ming — 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

most citedMessage passing approach to analyze the robustness of hypergraph

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

physics.soc-ph2023★ 3 cited

Message passing approach to analyze the robustness of hypergraph

Hao Peng, Cheng Qian, Dandan Zhao +4

Hypergraph networks are closer to real life because they can reflect higher-order interactions, so researchers have begun using them to build models for real-world networks. The me…

math.DS2023★ 1 cited

Concurrent Emergence of Clustering, Flocking and Synchronization in Systems of Interacting Agents

Trenton Gerew, Ming Zhong

We present some recent development in modeling concurrent emergence of collective behaviors, namely, the emergence of clustering, flocking and synchronization at the same time. We…

nlin.SI2022★ 1 cited

Data-driven soliton mappings for integrable fractional nonlinear wave equations via deep learning with Fourier neural operator

Ming Zhong, Zhenya Yan

In this paper, we firstly extend the Fourier neural operator (FNO) to discovery the soliton mapping between two function spaces, where one is the fractional-order index space $\{ε|…

cs.IT2022

Grassmannian packings: Trust-region stochastic tuning for matrix incoherence

Josiah Park, Carlos Saltijeral, Ming Zhong

We provide a new numerical procedure for constructing low coherence matrices, Trust-Region Stochastic Tuning for Matrix Incoherence (TRSTMI) and detail the results of experiments w…

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