EDBT 2026 Demo / reviewers in the wild / expert
Ru Cui
dblp:158/8833
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
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
error-correcting codes |
0.2 | 1 | 2016 | Informed Decoding Algorithms of LDPC Codes Based on Dynamic Selection Strategy · IEEE Trans. Commun. 2016 |
Coding theory › error-correcting codes
LDPC codes |
0.2 | 1 | 2016 | Informed Decoding Algorithms of LDPC Codes Based on Dynamic Selection Strategy · IEEE Trans. Commun. 2016 |
Coding theory › error-correcting codes › LDPC codes
LDPC decoding |
0.2 | 1 | 2016 | Informed Decoding Algorithms of LDPC Codes Based on Dynamic Selection Strategy · IEEE Trans. Commun. 2016 |
Coding theory › error-correcting codes › decoding › iterative decoding
message-passing decoding |
0.2 | 1 | 2016 | Informed Decoding Algorithms of LDPC Codes Based on Dynamic Selection Strategy · IEEE Trans. Commun. 2016 |
Coding theory › error-correcting codes › decoding
iterative decoding |
0.1 | 1 | 2016 | Informed Decoding Algorithms of LDPC Codes Based on Dynamic Selection Strategy · IEEE Trans. Commun. 2016 |
Methods — techniques the papers use, named apart from their topics
stability criterion · 0.2message residuals · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Informed Decoding Algorithms of LDPC Codes Based on Dynamic Selection StrategyabstractAmong most of the message scheduling strategies for low-density parity-check (LDPC) codes, the dynamic scheduling strategy behaves best in error correction performance. Dynamic selection is an integral part of dynamic scheduling decoding, which plays a decisive role throughout the decoding process. Usually, the dynamic selection strategy based on the message residuals only is employed in dynamic decoding algorithms, while other potentials of the dynamic selection strategy are rarely cared about. In this paper, we propose the triple judgment dynamic selection strategy combined with a Stability Criterion. Interestingly, the new strategy can be well applied to two different dynamic algorithms, namely, the V-VCRBP and the V-CVRBP algorithms. The proposed strategy has a great advantage: locating the message to be preferentially updated is extremely quick and accurate. Simulation results demonstrate that the V-VCRBP algorithm outperforms existing decoding algorithms in terms of BER performance and convergence speed, while the V-CVRBP algorithm has good error correction performance with a lower computational complexity. Xingcheng Liu, Zhenzhu Zhou, Ru Cui, Erwu Liu |
IEEE Trans. Commun. | 3 |