Demo Data from EDBT 2026 / reviewers in the wild / expert
Jianqiang Li 0003
dblp:08/2185-3
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-1646-434XORCID · verified
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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes
forward error correction |
0.4 | 1 | 2019 | Improved Decoding of Staircase Codes: The Soft-Aided Bit-Marking (SABM) Algorithm · IEEE Trans. Commun. 2019 |
Coding theory › error-correcting codes › decoding
iterative decoding |
0.4 | 1 | 2019 | Improved Decoding of Staircase Codes: The Soft-Aided Bit-Marking (SABM) Algorithm · IEEE Trans. Commun. 2019 |
Coding theory › error-correcting codes › block codes
product codes |
0.4 | 1 | 2019 | Improved Decoding of Staircase Codes: The Soft-Aided Bit-Marking (SABM) Algorithm · IEEE Trans. Commun. 2019 |
Coding theory › error-correcting codes › block codes › product codes
staircase codes |
0.4 | 1 | 2019 | Improved Decoding of Staircase Codes: The Soft-Aided Bit-Marking (SABM) Algorithm · IEEE Trans. Commun. 2019 |
Methods — techniques the papers use, named apart from their topics
soft information · 0.4bounded-distance decoding · 0.4bit marking · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Improved Decoding of Staircase Codes: The Soft-Aided Bit-Marking (SABM) AlgorithmabstractStaircase codes (SCCs) are typically decoded using iterative bounded-distance decoding (BDD) and hard decisions. In this paper, a novel decoding algorithm is proposed, which partially uses soft information from the channel. The proposed algorithm is based on marking certain number of highly reliable and highly unreliable bits. These marked bits are used to improve the miscorrection-detection capability of the SCC decoder and the error-correcting capability of BDD. For SCCs with 2-error-correcting Bose-Chaudhuri-Hocquenghem component codes, our algorithm improves upon standard SCC decoding by up to 0.30 dB at a bit-error rate (BER) of 10-7. The proposed algorithm is shown to achieve almost half of the gain achievable by a genie decoder with this structure. The increased complexity caused by bit marking and additional calls to the component BDD decoder is discussed as well. Our algorithm is also extended (with minor modifications) to product codes. The simulation results show that in this case, the algorithm offers gains of up to 0.5 dB at a BER of 10-7. Bin Chen 0006, Gabriele Liga, Xiong Deng, Zizheng Cao, Jianqiang Li 0003, Kun Xu 0008, Alex Alvarado |
IEEE Trans. Commun. | 6 |