VLDB 2026 Research / reviewers in the wild / expert
Hi-Joon Chae
dblp:24/10490
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 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 › sequences › pseudorandom sequences
decimation |
0.1 | 1 | 2011 | A Generalization of the Family of $p$-ary Decimated Sequences With Low Correlation · IEEE Trans. Inf. Theory 2011 |
Coding theory › sequences › sequence design
low-correlation sequence |
0.1 | 1 | 2011 | A Generalization of the Family of $p$-ary Decimated Sequences With Low Correlation · IEEE Trans. Inf. Theory 2011 |
Coding theory › sequences
sequence design |
0.1 | 1 | 2011 | A Generalization of the Family of $p$-ary Decimated Sequences With Low Correlation · IEEE Trans. Inf. Theory 2011 |
Coding theory › sequences › sequence design
sequence family construction |
0.1 | 1 | 2011 | A Generalization of the Family of $p$-ary Decimated Sequences With Low Correlation · IEEE Trans. Inf. Theory 2011 |
Methods — techniques the papers use, named apart from their topics
correlation bound analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | A Generalization of the Family of $p$-ary Decimated Sequences With Low CorrelationabstractLet$p$be a prime and$n$a positive integer. Let$e\vert p^{n}-1$and$N={{p^{n}-1}\over{e}}$. In this paper, we construct a family$S$of$e^{2}N~p$-ary sequences, each member of$S$has period$N$and the magnitudes of correlations of members of$S$are upper bounded by$2\sqrt{p^{n}}=2\sqrt{eN+1}$. Dae San Kim, Hi-Joon Chae, Hong-Yeop Song |
IEEE Trans. Inf. Theory | 2 |