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Mingshuo Zhou

dblp:282/8104 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0008-6580-5420ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › error-correcting codes
insertion-deletion codes
0.812024
Generalized Singleton Type Upper Bounds · IEEE Trans. Inf. Theory 2024
Coding theory › error-correcting codes
locally recoverable codes
0.812024
Generalized Singleton Type Upper Bounds · IEEE Trans. Inf. Theory 2024
Coding theory › error-correcting codes › coding bounds › minimum distance bounds
singleton bound
0.812024
Generalized Singleton Type Upper Bounds · IEEE Trans. Inf. Theory 2024
Coding theory › error-correcting codes
symbol-pair code
0.812024
Generalized Singleton Type Upper Bounds · IEEE Trans. Inf. Theory 2024
YearPublicationVenuePosition
2024 Generalized Singleton Type Upper Bounds
abstract
In this paper, we give many new Singleton type upper bounds on the sizes of codes with given minimum Hamming distances. These upper bounds are stronger than the Griesmer bound when the lengths of codes are large. Some upper bounds on the lengths of general small Singleton defect codes are presented. Our generalized Singleton type upper bounds have wide applications to symbol-pair codes, insertion-deletion codes and locally recoverable codes. The generalized Singleton type upper bounds on symbol-pair codes and insertion-deletion codes are much stronger than the direct Singleton bounds on symbol-pair codes and insertion-deletion codes when the lengths are large and the Hamming minimum distances are small. Upper bounds on the lengths of small dimension optimal locally recoverable codes and small dimension optimal$(r, \delta)$locally recoverable codes with any given minimum distance are also presented.
Hao Chen 0029, Longjiang Qu, Chengju Li, Shanxiang Lyu, Liqing Xu, Mingshuo Zhou
IEEE Trans. Inf. Theory6