Demo Data from VLDB 2026 / reviewers in the wild / expert
Johannes Zwanzger
dblp:99/6603
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2 · 1 first-authorSecurity and privacy · 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
2 papers |
Coding theory · 95% Algorithms and data structures · 5% |
Topics — the 10 heaviest of 10, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes › algebraic coding theory
gray image |
0.2 | 1 | 2016 | New Upper Bounds on Binary Linear Codes and a Z4 -Code With a Better-Than-Linear Gray Image · IEEE Trans. Inf. Theory 2016 |
Coding theory › error-correcting codes › block codes
linear block codes |
0.2 | 1 | 2016 | New Upper Bounds on Binary Linear Codes and a Z4 -Code With a Better-Than-Linear Gray Image · IEEE Trans. Inf. Theory 2016 |
Coding theory › error-correcting codes › codes over rings
linear codes over rings |
0.2 | 1 | 2016 | New Upper Bounds on Binary Linear Codes and a Z4 -Code With a Better-Than-Linear Gray Image · IEEE Trans. Inf. Theory 2016 |
Coding theory
upper bounds |
0.2 | 1 | 2016 | New Upper Bounds on Binary Linear Codes and a Z4 -Code With a Better-Than-Linear Gray Image · IEEE Trans. Inf. Theory 2016 |
Coding theory › error-correcting codes › codes over rings
z4-linear code |
0.2 | 1 | 2016 | New Upper Bounds on Binary Linear Codes and a Z4 -Code With a Better-Than-Linear Gray Image · IEEE Trans. Inf. Theory 2016 |
Coding theory › error-correcting codes › code construction
heuristic construction |
0.1 | 1 | 2008 | A Heuristic Algorithm for the Construction of Good Linear Codes · IEEE Trans. Inf. Theory 2008 |
Coding theory › error-correcting codes › block codes
linear code |
0.1 | 1 | 2008 | A Heuristic Algorithm for the Construction of Good Linear Codes · IEEE Trans. Inf. Theory 2008 |
Coding theory › error-correcting codes › code construction
linear code construction |
0.1 | 1 | 2008 | A Heuristic Algorithm for the Construction of Good Linear Codes · IEEE Trans. Inf. Theory 2008 |
Algorithms and data structures
search algorithms |
0.1 | 1 | 2008 | A Heuristic Algorithm for the Construction of Good Linear Codes · IEEE Trans. Inf. Theory 2008 |
Coding theory › error-correcting codes › block codes › linear code
code parameters |
0.1 | 1 | 2016 | New Upper Bounds on Binary Linear Codes and a Z4 -Code With a Better-Than-Linear Gray Image · IEEE Trans. Inf. Theory 2016 |
Methods — techniques the papers use, named apart from their topics
table lookup · 0.2integer linear programming · 0.2search algorithm · 0.1probability estimation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | New Upper Bounds on Binary Linear Codes and a Z4 -Code With a Better-Than-Linear Gray ImageabstractUsing integer linear programming and table-lookups, we prove that there is no binary linear [1988, 12, 992] code. As a by-product, the non-existence of binary linear codes with the parameters [324, 10, 160], [356, 10, 176], [772, 11, 384], and [836, 11, 416] is shown. Our work is motivated by the recent construction of the extended dualized Kerdock code K6*, which is a Z4-linear code having a non-linear binary Gray image with the parameters 1988, 212,992. By our result, the code K6* can be added to the small list of Z4-codes for which it is known that the Gray image is better than any binary linear code. Michael Kiermaier, Alfred Wassermann, Johannes Zwanzger |
IEEE Trans. Inf. Theory | 3 |
| 2013 | New ring-linear codes from dualization in projective Hjelmslev geometries
Michael Kiermaier, Johannes Zwanzger |
Des. Codes Cryptogr. | 2 |
| 2008 | A Heuristic Algorithm for the Construction of Good Linear CodesabstractIn this correspondence, we describe a heuristic method for the construction of linear codes with given parameters n, k, q, and prescribed minimum distance of at least . Our approach is based on a function estimating the probability that a code of dimension and blocklength over is extendable to a code with the given properties. Combining this evaluation function with a search algorithm, we were able to improve 40 entries in the international tables for the best known minimum distance in the cases and found at least two new optimal linear codes. Johannes Zwanzger |
IEEE Trans. Inf. Theory | 1 |