EDBT 2026 Demo / reviewers in the wild / expert
Zhichang Lin
dblp:263/5750
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Computer networks · 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
2 papers |
Coding theory · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Storage systems · 64% Parallel and multicore computing · 36% |
Topics — the 9 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes › error detection
burst error detection |
0.5 | 1 | 2021 | Cyclic Properties and Pipeline Implementation of the Fletcher Checksum · IEEE Trans. Commun. 2021 |
Coding theory › error-correcting codes
cyclic codes |
0.5 | 1 | 2021 | Cyclic Properties and Pipeline Implementation of the Fletcher Checksum · IEEE Trans. Commun. 2021 |
Coding theory › error-correcting codes
error detection |
0.5 | 1 | 2021 | Cyclic Properties and Pipeline Implementation of the Fletcher Checksum · IEEE Trans. Commun. 2021 |
Coding theory › error-correcting codes › decoding › decoding algorithms › coding algorithms
encoding algorithms |
0.4 | 1 | 2020 | Fast Encoding Algorithms for Reed-Solomon Codes With Between Four and Seven Parity Symbols · IEEE Trans. Computers 2020 |
Coding theory › boolean functions
reed-muller transform |
0.4 | 1 | 2020 | Fast Encoding Algorithms for Reed-Solomon Codes With Between Four and Seven Parity Symbols · IEEE Trans. Computers 2020 |
Coding theory › error-correcting codes
reed-solomon codes |
0.4 | 1 | 2020 | Fast Encoding Algorithms for Reed-Solomon Codes With Between Four and Seven Parity Symbols · IEEE Trans. Computers 2020 |
Parallel and multicore computing › pipeline parallelism
dynamic linear pipeline |
0.1 | 1 | 2021 | Cyclic Properties and Pipeline Implementation of the Fletcher Checksum · IEEE Trans. Commun. 2021 |
Storage systems › storage reliability
erasure coding |
0.1 | 1 | 2020 | Fast Encoding Algorithms for Reed-Solomon Codes With Between Four and Seven Parity Symbols · IEEE Trans. Computers 2020 |
Storage systems
storage reliability |
0.1 | 1 | 2020 | Fast Encoding Algorithms for Reed-Solomon Codes With Between Four and Seven Parity Symbols · IEEE Trans. Computers 2020 |
Methods — techniques the papers use, named apart from their topics
scheduling for data hazards · 1.0algebraic analysis · 1.0reed-muller transform · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Cyclic Properties and Pipeline Implementation of the Fletcher ChecksumabstractThe Fletcher checksum (FC) is a means of error detection that is analogous to cyclic redundancy checking but easier to implement in software. Now FC actually has two versions, one is Fletcher's original paper version termed as FC and the other is RFC1146 version termed as FC-RFC. This paper shows that the FC is a cyclic code. This is done by introducing a cyclic code known as the cyclic Fletcher code (CFC) and then showing that the CFC is equivalent to the FC. The clear algebraic structure of cyclic codes is used to analyze the code block length and code distance, and then the single error correction, double error detection, and burst error detection of the CFC are analyzed. Also given is the mathematical relationship between the CFC and a modified FC. Finally, the issue of implementation is considered, and a new scheduling for the CFC is proposed to prevent data hazards. A simulation shows that the proposed scheduling offers improvements of at least 46% in throughput for the CFC and FC-RFC. Zhichang Lin, Sian-Jheng Lin |
IEEE Trans. Commun. | 1 |
| 2020 | Fast Encoding Algorithms for Reed-Solomon Codes With Between Four and Seven Parity SymbolsabstractThis article describes a fast Reed-Solomon encoding algorithm with four and seven parity symbols in between. First, we show that the syndrome of Reed-Solomon codes can be computed via the Reed-Muller transform. Based on this result, the fast encoding algorithm is then derived. Analysis shows that the proposed approach asymptotically requires 3 XORs per data bit, representing an improvement over previous algorithms. The simulation demonstrates that the performance of the proposed approach improves with the increase of code length and is superior to other methods. In particular, when the parity number is 5, the proposed approach is about two times faster than other cutting-edge methods. Leilei Yu, Zhichang Lin, Sian-Jheng Lin, Yunghsiang Sam Han, Nenghai Yu |
IEEE Trans. Computers | 2 |