EDBT 2026 Demo / reviewers in the wild / expert
Yueer Wei
dblp:37/10490
· 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 · 50% Combinatorics and discrete mathematics · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Combinatorics and discrete mathematics › combinatorial design
difference families |
0.1 | 1 | 2011 | Relative Difference Families With Variable Block Sizes and Their Related OOCs · IEEE Trans. Inf. Theory 2011 |
Coding theory › sequences › sequence design
optical orthogonal codes |
0.1 | 1 | 2011 | Relative Difference Families With Variable Block Sizes and Their Related OOCs · IEEE Trans. Inf. Theory 2011 |
Methods — techniques the papers use, named apart from their topics
combinatorial construction · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Relative Difference Families With Variable Block Sizes and Their Related OOCsabstractSeven infinite classes of relative difference families with variable block sizes are presented explicitly. In particular, a balanced (gv,g,K,1)-DF withg=Σk∈K[(k2-k)/2] is explicitly given for: (i)K={3,4,5} and everyvcoprime to 6; (ii)K={3,4,6}, {3,5,6} or {3,4,5,6} and everyvcoprime to 30. As far as the authors are aware, these difference families can be viewed as the first explicit constructions of infinite classes of optimal variable-weight optical orthogonal codes with more than two weights. It is observed, however, that there are infinitely many values ofvfor which an optimal (v,W,1,Q) -OOC exists, whatever the set of weightsWand the weight distribution sequenceQare. Marco Buratti, Yueer Wei, Dianhua Wu, Pingzhi Fan, Minquan Cheng |
IEEE Trans. Inf. Theory | 2 |