Demo Data from EDBT 2026 / reviewers in the wild / expert
Momoko Hirayama
dblp:247/5900
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 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
1 paper |
Coding theory · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › source coding
grammar-based compression |
0.5 | 1 | 2021 | The Smallest Grammar Problem Revisited · IEEE Trans. Inf. Theory 2021 |
Coding theory › source coding › grammar-based compression
smallest grammar problem |
0.5 | 1 | 2021 | The Smallest Grammar Problem Revisited · IEEE Trans. Inf. Theory 2021 |
Coding theory › distributed storage › distributed storage codes
repair |
0.1 | 1 | 2021 | The Smallest Grammar Problem Revisited · IEEE Trans. Inf. Theory 2021 |
Methods — techniques the papers use, named apart from their topics
upper and lower bounds · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | The Smallest Grammar Problem RevisitedabstractIn a seminal paper, Charikar et al. derive upper and lower bounds on the approximation ratios for several grammar-based compressors, but in all cases there is a gap between the lower and upper bound. Here the gaps for LZ78 and BISECTION are closed by showing that the approximation ratio of LZ78 is Θ((n/log n)2/3), whereas the approximation ratio of BISECTION is Θ(√(n/log n)). In addition, the lower bound for RePair is improved from Ω(√(log n)) to Ω(log n/log log n). Finally, results of Arpe and Reischuk relating grammar-based compression for arbitrary alphabets and binary alphabets are improved. Hideo Bannai, Momoko Hirayama, Danny Hucke, Shunsuke Inenaga, Artur Jez, Markus Lohrey, Carl Philipp Reh |
IEEE Trans. Inf. Theory | 2 |