Demo Data from EDBT 2026 / reviewers in the wild / expert
Yuh-Jue Chuang
dblp:50/6488
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2008
0000-0002-3877-0161ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
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% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › source coding › variable-length codes
average codeword length minimization |
0.2 | 2 | 2008 | Two algorithms for constructing efficient huffman-code based reversible variable length codes · IEEE Trans. Commun. 2008 Two Algorithms for Constructing Efficient Huffman-Code-Based Reversible Variable Length Codes · IEEE Trans. Commun. 2007 |
Coding theory › error-correcting codes
code construction |
0.2 | 2 | 2008 | Two algorithms for constructing efficient huffman-code based reversible variable length codes · IEEE Trans. Commun. 2008 Two Algorithms for Constructing Efficient Huffman-Code-Based Reversible Variable Length Codes · IEEE Trans. Commun. 2007 |
Coding theory › source coding › variable-length codes › prefix codes
huffman coding |
0.2 | 2 | 2008 | Two algorithms for constructing efficient huffman-code based reversible variable length codes · IEEE Trans. Commun. 2008 Two Algorithms for Constructing Efficient Huffman-Code-Based Reversible Variable Length Codes · IEEE Trans. Commun. 2007 |
Coding theory › source coding › variable-length codes
reversible variable-length codes |
0.2 | 2 | 2008 | Two algorithms for constructing efficient huffman-code based reversible variable length codes · IEEE Trans. Commun. 2008 Two Algorithms for Constructing Efficient Huffman-Code-Based Reversible Variable Length Codes · IEEE Trans. Commun. 2007 |
Coding theory
source coding |
0.2 | 2 | 2008 | Two algorithms for constructing efficient huffman-code based reversible variable length codes · IEEE Trans. Commun. 2008 Two Algorithms for Constructing Efficient Huffman-Code-Based Reversible Variable Length Codes · IEEE Trans. Commun. 2007 |
Coding theory › source coding
variable-length codes |
0.2 | 2 | 2008 | Two algorithms for constructing efficient huffman-code based reversible variable length codes · IEEE Trans. Commun. 2008 Two Algorithms for Constructing Efficient Huffman-Code-Based Reversible Variable Length Codes · IEEE Trans. Commun. 2007 |
Methods — techniques the papers use, named apart from their topics
graph modeling · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Two algorithms for constructing efficient huffman-code based reversible variable length codesabstractIn this paper, Huffman-code based reversible variable length code (RVLC) construction algorithms are studied. We use graph models to represent the prefix, suffix and Hamming distance relationships among RVLC candidate codewords. The properties of the so-obtained graphs are investigated in detail, based on which we present two efficient RVLC construction algorithms: algorithm 1 aims at minimizing the average codeword length while algorithm 2 jointly minimizes the average codeword length and maximizes the error detection probability at the same time. Chia-Wei Lin, Ja-Ling Wu, Yuh-Jue Chuang |
IEEE Trans. Commun. | 3 |
| 2007 | Two Algorithms for Constructing Efficient Huffman-Code-Based Reversible Variable Length CodesabstractIn this paper, Huffman-code-based reversible variable length code (RVLC) construction algorithms are studied. We use graph models to represent the prefix, suffix, and Hamming distance relationships among RVLC candidate code words. The properties of the so-obtained graphs are investigated in detail, based on which we present two efficient RVLC construction algorithms: Algorithm 1 aims at minimizing the average code word length while Algorithm 2 jointly minimizes the average code word length and maximizes the error-detection probability at the same time. Chia-Wei Lin, Ja-Ling Wu, Yuh-Jue Chuang |
IEEE Trans. Commun. | 3 |