Demo Data from SIGIR 2026 / reviewers in the wild / expert
Qingshuang Zhang
dblp:174/6387
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author
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 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory
channel coding |
0.2 | 1 | 2016 | Practical Design and Decoding of Parallel Concatenated Structure for Systematic Polar Codes · IEEE Trans. Commun. 2016 |
Coding theory › error-correcting codes
concatenated codes |
0.2 | 1 | 2016 | Practical Design and Decoding of Parallel Concatenated Structure for Systematic Polar Codes · IEEE Trans. Commun. 2016 |
Coding theory › error-correcting codes › decoding
iterative decoding |
0.2 | 1 | 2016 | Practical Design and Decoding of Parallel Concatenated Structure for Systematic Polar Codes · IEEE Trans. Commun. 2016 |
Coding theory › error-correcting codes › concatenated codes
parallel concatenation |
0.2 | 1 | 2016 | Practical Design and Decoding of Parallel Concatenated Structure for Systematic Polar Codes · IEEE Trans. Commun. 2016 |
Coding theory › channel coding
polar codes |
0.2 | 1 | 2016 | Practical Design and Decoding of Parallel Concatenated Structure for Systematic Polar Codes · IEEE Trans. Commun. 2016 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.2minimum distance estimation · 0.2interleaver optimization · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Practical Design and Decoding of Parallel Concatenated Structure for Systematic Polar CodesabstractIn this paper, a parallel concatenated structure is proposed to improve the performance of polar codes in finite length in which multiblocks systematic polar codes (SPC) and recursive systematic convolutional codes (RSC) are combined. We first design a weighted iterative decoding algorithm for the proposed structure such that better bit error rate performance can be obtained. Then, a deliberated interleaver is optimized for the new scheme. Thereafter, we introduce a strategy to estimate the minimum distance of the concatenation codeword, where an asymptotic performance and convergence behavior analysis are elaborated. Finally, the error performance of the proposed scheme is evaluated via simulations. The results show that our scheme almost outperforms all the existed concatenation ones using polar codes, making the codes more practical. Qingshuang Zhang, Aijun Liu 0001, Yingxian Zhang, Xiaohu Liang |
IEEE Trans. Commun. | 1 |