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Liqing Xu

dblp:24/9714 · DBLP profile ↗
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5ranked-venue papers
2as first author
3since 2021 · last 2024
0000-0002-7388-6055ORCID · corroborated

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

Theory of computation · 4 · 1 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 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
4 papers
Coding theory · 95% Combinatorics and discrete mathematics · 5%

Topics — the 11 heaviest of 11, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › error-correcting codes
locally recoverable codes
1.322024
Generalized Singleton Type Upper Bounds · IEEE Trans. Inf. Theory 2024
Long Optimal and Small-Defect LRC Codes With Unbounded Minimum Distances · IEEE Trans. Inf. Theory 2021
Coding theory › network coding › subspace codes
constant dimension codes
0.822020
New Constructions of Subspace Codes Using Subsets of MRD Codes in Several Blocks · IEEE Trans. Inf. Theory 2020
New Constant-Dimension Subspace Codes from Maximum Rank Distance Codes · IEEE Trans. Inf. Theory 2018
Coding theory › error-correcting codes › rank-metric codes
maximum rank distance codes
0.822020
New Constructions of Subspace Codes Using Subsets of MRD Codes in Several Blocks · IEEE Trans. Inf. Theory 2020
New Constant-Dimension Subspace Codes from Maximum Rank Distance Codes · IEEE Trans. Inf. Theory 2018
Coding theory › error-correcting codes
rank-metric codes
0.822020
New Constructions of Subspace Codes Using Subsets of MRD Codes in Several Blocks · IEEE Trans. Inf. Theory 2020
New Constant-Dimension Subspace Codes from Maximum Rank Distance Codes · IEEE Trans. Inf. Theory 2018
Coding theory › network coding
subspace codes
0.822020
New Constructions of Subspace Codes Using Subsets of MRD Codes in Several Blocks · IEEE Trans. Inf. Theory 2020
New Constant-Dimension Subspace Codes from Maximum Rank Distance Codes · IEEE Trans. Inf. Theory 2018
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 › 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
Coding theory › error-correcting codes › coding bounds
asymptotic bounds
0.512021
Long Optimal and Small-Defect LRC Codes With Unbounded Minimum Distances · IEEE Trans. Inf. Theory 2021
Coding theory › error-correcting codes › locally recoverable codes
optimal LRCs
0.512021
Long Optimal and Small-Defect LRC Codes With Unbounded Minimum Distances · IEEE Trans. Inf. Theory 2021
Combinatorics and discrete mathematics › switching theory
linkage construction
0.412020
New Constructions of Subspace Codes Using Subsets of MRD Codes in Several Blocks · IEEE Trans. Inf. Theory 2020

Methods — techniques the papers use, named apart from their topics

finite field construction · 0.5algebraic curve construction · 0.5delsarte theorem · 0.4q-polynomial construction · 0.3
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. Theory5
2023 Generalized Zero-Shot Learning with Noisy Labeled Data
Liqing Xu, Xueliang Liu, Yishun Jiang
PRCV (11)1
2021 Long Optimal and Small-Defect LRC Codes With Unbounded Minimum Distances
abstract
For a linear locally recoverable (LRC) code with length n, dimension k and locality r, its minimum distance d satisfies d ≤ n-k+2-⌈k/r⌉. A code attaining this bound is called optimal. Many families of optimal locally recoverable codes have been constructed by using different techniques in finite fields or algebraic curves. However only optimal LRC codes with lengths n >> q and minimum distances restricted to few constants smaller than 9, have been given in previous constructions. No optimal LRC code over a general finite field Fqwith the length n ~ q2and the minimum distance d ≥ 9 has been constructed. In this article we present a general construction of optimal LRC codes over arbitrary finite fields. Over any given finite field Fq, for any given r ∈ {1,2,...,q-1} and given d satisfying 3 ≤ d ≤ min{r+1,q+1-r}, we construct explicitly an optimal LRC code with length n=q(r+1), locality r and minimum distance d. We also give an asymptotic bound of q-ary LRC codes with locality r (r ≤ q-1), which is better than some known previous asymptotic bounds in some parameter range. Moreover many long LRC codes with locality r (r ≤ q-1) and small defect s=n-k+2-⌈k/r⌉-d are also constructed from algebraic curves with many rational points.
Hao Chen 0029, Jian Weng 0001, Weiqi Luo 0002, Liqing Xu
IEEE Trans. Inf. Theory4
2020 New Constructions of Subspace Codes Using Subsets of MRD Codes in Several Blocks
abstract
A basic problem for the constant dimension subspace coding is to determine the maximal possible size Aq(n, d, k) of a set of k-dimensional subspaces in Fnqsuch that the subspace distance satisfies d(U, V ) = 2k - 2 dim (U ∩ V ) ≥ d for any two different subspaces U and V in this set. We present two new constructions of constant dimension subspace codes using subsets of maximum rank-distance (MRD) codes in several blocks. This method is firstly applied to the linkage construction and secondly to arbitrary number of blocks of lifting MRD codes. In these two constructions, subsets of MRD codes with bounded ranks play an essential role. The Delsarte theorem about the rank distribution of MRD codes is an important ingredient to count codewords in our constructed constant dimension subspace codes. We give many new lower bounds for Aq(n, d, k). More than 110 new constant dimension subspace codes better than previously best known codes are constructed.
Hao Chen 0029, Xianmang He, Jian Weng 0001, Liqing Xu
IEEE Trans. Inf. Theory4
2018 New Constant-Dimension Subspace Codes from Maximum Rank Distance Codes
abstract
The main problem of constant-dimension subspace coding is to determine the maximal possible size Aq(n, d, k) of a set of k-dimensional subspaces in Fnq such that the subspace distance satisfies d(U, V) ≥ d for any two different subspaces U and V in this set. In this paper, we give a direct construction of constant-dimension subspace codes from two parallel versions of maximum rank-distance codes. The problem about the sizes of our constructed constant-dimension subspace codes is transformed into finding a suitable sufficient condition to restrict number of the roots of L1(L2(x)) - x where L1and L2are q-polynomials over the extension field Fqn. New lower bounds for Aq(4k, 2k, 2k), Aq(4k t 2, 2k, 2k t 1), and Aq(4k t 2, 2(k - 1), 2k t 1) are presented. Many new constantdimension subspace codes better than previously best known codes with small parameters are constructed.
Liqing Xu, Hao Chen 0029
IEEE Trans. Inf. Theory1