Demo Data from SIGIR 2026 / reviewers in the wild / expert
UyHour Tan
dblp:231/2558
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0003-2372-539XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2 · 1 first-author
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 · 68% Information theory · 17% Computational complexity · 15% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › sequences
sequence design |
0.8 | 2 | 2020 | A New Lower Bound on the Maximum Correlation of a Set With Mismatched Filters · IEEE Trans. Inf. Theory 2020 Generalization and Improvement of the Levenshtein Lower Bound for Aperiodic Correlation · IEEE Trans. Inf. Theory 2019 |
Coding theory › error-correcting codes › coding bounds › code size bounds
levenshtein bound |
0.4 | 1 | 2020 | A New Lower Bound on the Maximum Correlation of a Set With Mismatched Filters · IEEE Trans. Inf. Theory 2020 |
Information theory › dependence measure
maximal correlation |
0.4 | 1 | 2020 | A New Lower Bound on the Maximum Correlation of a Set With Mismatched Filters · IEEE Trans. Inf. Theory 2020 |
Coding theory › sequences › sequence design › correlation properties
aperiodic autocorrelation |
0.4 | 1 | 2019 | Generalization and Improvement of the Levenshtein Lower Bound for Aperiodic Correlation · IEEE Trans. Inf. Theory 2019 |
Computational complexity
lower bounds |
0.4 | 1 | 2019 | Generalization and Improvement of the Levenshtein Lower Bound for Aperiodic Correlation · IEEE Trans. Inf. Theory 2019 |
Coding theory › sequences › sequence design
polyphase sequences |
0.1 | 1 | 2019 | Generalization and Improvement of the Levenshtein Lower Bound for Aperiodic Correlation · IEEE Trans. Inf. Theory 2019 |
Methods — techniques the papers use, named apart from their topics
levenshtein bound · 0.8unimodular sequences · 0.4welch bound · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | A New Lower Bound on the Maximum Correlation of a Set With Mismatched FiltersabstractA new lower bound is proposed in this article. Like Levenshtein bound, it relates to the maximum correlation value (autocorrelation and cross-correlation) a set of sequences can achieve. The novelty introduced here is that each sequence is associated with a mismatched filter. The proposed bound is inspired from Levenshtein's, holds for any set of unimodular sequences and can be applied in both aperiodic and periodic cases. It appears that the obtained expression does not deviate a lot from the (matched) Levenshtein, which indicates that the use of a mismatched filter will not guarantee much better sidelobe performance, as the number fo sequences is significant, contrary to the popular belief. UyHour Tan, Fabien Arlery, Olivier Rabaste, Frédéric Lehmann, Jean Philippe Ovarlez |
IEEE Trans. Inf. Theory | 1 |
| 2019 | Generalization and Improvement of the Levenshtein Lower Bound for Aperiodic CorrelationabstractThis paper deals with lower bounds on aperiodic correlation of sequences. It intends to solve two open questions. The first one is on the validity of the Levenshtein bound for a set of sequences other than binary sequences or those over the roots of unity. Although this result could be a priori extended to polyphase sequences, a formal demonstration is presented here, proving that it does actually hold for these sequences. The second open question is on the possibility to find a bound tighter than Welch's, in the case of a set consisting of two sequences M = 2. By including the specific structure of correlation sequences, a tighter lower bound is introduced for this case. Besides, this method also provides in the cases M = 3 and M = 4 a tighter bound than the up-to-now tightest bound provided by Liu et al. Fabien Arlery, UyHour Tan, Olivier Rabaste |
IEEE Trans. Inf. Theory | 2 |