Demo Data from EDBT 2026 / reviewers in the wild / expert
Qingyue Zhang 0001
dblp:42/8773-1 · also Qing-yue Zhang 0001
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0003-2467-511XORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorTheory 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.
| Computer graphics and multimedia
1 paper |
Geometric modeling and processing · 67% Image and video processing · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › shape modeling › parametric modeling › spline curves
b-spline |
0.9 | 1 | 2025 | Global Phaseless Sampling in Spline Spaces With Arbitrary Knots · IEEE Trans. Inf. Theory 2025 |
Image and video processing
sampling theory |
0.9 | 1 | 2025 | Global Phaseless Sampling in Spline Spaces With Arbitrary Knots · IEEE Trans. Inf. Theory 2025 |
Geometric modeling and processing
spline spaces |
0.9 | 1 | 2025 | Global Phaseless Sampling in Spline Spaces With Arbitrary Knots · IEEE Trans. Inf. Theory 2025 |
Methods — techniques the papers use, named apart from their topics
spline reconstruction · 0.9phaseless sampling · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Global Phaseless Sampling in Spline Spaces With Arbitrary KnotsabstractThis paper addresses phaseless sampling on the real line for spaces generated by B-splines with arbitrary knots. We provide a characterization for a sequence of phaseless samples on the entire line and demonstrate that any non-separable signal can be recovered, up to a sign, with a specific sampling rate. Rui Li 0096, Qingyue Zhang 0001 |
IEEE Trans. Inf. Theory | 3 |
| 2016 | Zak transform and uncertainty principles associated with the linear canonical transformabstractSeveral new results about Zak transform and uncertainty principles in the linear canonical transform (LCT) domains are presented. The results obtained rely mainly on relationship between the LCT and the classical Fourier transform. The findings will likely have potential applications in optics and signal processing. Qingyue Zhang 0001 |
IET Signal Process. | 1 |