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Ming Zhu

4 papers hereh-index 334 citations5 works total

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

author position
  • last author4

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

fields
  • cs.IT3
  • math.CO1
same name
  • Ming Zhu — 31 papers, h 14
  • Ming Zhu — 29 papers, h 4
  • Ming Zhu — 21 papers, h 8
  • Ming Zhu — 8 papers, h 39
  • Ming Zhu — 7 papers, h 7
  • Ming Zhu — 6 papers, h 3

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
20122018
most citedA Combinatorial Method for Computing Characteristic Polynomials of Starlike Hypergraphs

10 citations · 21 across the 4 of their papers we have counts for

collaborators

4 papers

math.CO2018★ 10 cited

A Combinatorial Method for Computing Characteristic Polynomials of Starlike Hypergraphs

Yan-Hong Bao, Yi-Zheng Fan, Yi Wang +1

By using the Poisson formula for resultants and the variants of chip-firing game on graphs, we provide a combinatorial method for computing a class of of resultants, i.e. the chara…

cs.IT2013★ 5 cited

Symmetric Toeplitz-Structured Compressed Sensing Matrices

Tao Huang, Yi-Zheng Fan, Ming Zhu

How to construct a suitable measurement matrix is still an open question in compressed sensing. A significant part of the recent work is that the measurement matrices are not compl…

cs.IT2013★ 1 cited

Mixed Compressed Sensing Based on Random Graphs

Yi-Zheng Fan, Tao Huang, Ming Zhu

Finding a suitable measurement matrix is an important topic in compressed sensing. Though the known random matrix, whose entries are drawn independently from a certain probability…

cs.IT2012★ 5 cited

Compressed Sensing Based on Random Symmetric Bernoulli Matrix

Yi-Zheng Fan, Tao Huang, Ming Zhu

The task of compressed sensing is to recover a sparse vector from a small number of linear and non-adaptive measurements, and the problem of finding a suitable measurement matrix i…

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