◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Shuangqing Liu

4 papers hereh-index 5124 citations13 works total

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

author position
  • first author3
  • last author1

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

fields
  • math.CO3
  • cs.IT1

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedParallel multilevel constructions for constant dimension codes

2 citations · 3 across the 2 of their papers we have counts for

collaborators

4 papers

cs.IT2020★ 1 cited

Bounds for the multilevel construction

Tao Feng, Sascha Kurz, Shuangqing Liu

One of the main problems in random network coding is to compute good lower and upper bounds on the achievable cardinality of the so-called subspace codes in the projective space $\…

math.CO2019★ 2 cited

Parallel multilevel constructions for constant dimension codes

Shuangqing Liu, Yanxun Chang, Tao Feng

Constant dimension codes (CDCs), as special subspace codes, have received a lot of attention due to their application in random network coding. This paper introduces a family of ne…

math.CO2018

Several classes of optimal Ferrers diagram rank-metric codes

Shuangqing Liu, Yanxun Chang, Tao Feng

Four constructions for Ferrers diagram rank-metric (FDRM) codes are presented. The first one makes use of a characterization on generator matrices of a class of systematic maximum…

math.CO2018

Constructions for optimal Ferrers diagram rank-metric codes

Shuangqing Liu, Yanxun Chang, Tao Feng

Optimal rank-metric codes in Ferrers diagrams can be used to construct good subspace codes. Such codes consist of matrices having zeros at certain fixed positions. This paper gener…

◍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.