Demo Data from EDBT 2026 / reviewers in the wild / expert
Dong Zhang 0007
dblp:68/3245-7
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
0000-0001-5297-8658ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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 |
Audio and music processing · 50% Image and video processing · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing › audio reproduction
parametric loudspeaker |
0.7 | 1 | 2023 | Sidelobe Suppression for a Steerable Parametric Source Using the Sparse Random Array Technique · IEEE ACM Trans. Audio Speech Lang. Process. 2023 |
Image and video processing › radar imaging › synthetic aperture radar imaging
sidelobe reduction |
0.7 | 1 | 2023 | Sidelobe Suppression for a Steerable Parametric Source Using the Sparse Random Array Technique · IEEE ACM Trans. Audio Speech Lang. Process. 2023 |
Methods — techniques the papers use, named apart from their topics
sparse random array · 0.7simulated annealing · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Multicycle Temporal Compounding Sonography for Despeckling at Specified Respiratory PhasesabstractThis work presents a breath-hold-free abdominal ultrasound method for both clinical and ICU settings, addressing speckle noise and motion artifacts. Its key contribution lies in respiratory phase-guided multicycle temporal compounding - identifying motion states across cycles to fuse images for target despeckling. A synergistic framework combines detail-preserving anisotropic diffusion (for speckle removal) and guided filtering (for structure transfer), while the outputs progressively refine as acquisition proceeds. Evaluated on 31 ventilator-assisted and 66 spontaneous respiration datasets, the method achieved average $\beta =0.931$ /0.930, the speckle suppression and mean preservation index (SMPI) of 0.483/0.584, and the Pratt's figure of merit 0.842/0.827, outperforming prevalent despeckling methods in edge preservation and despeckling. With computational efficiency (~2.65s/iteration) comparable to established methods and applicability across respiration styles, it enables reliable motion-artifact-suppressed imaging without breath-holding, streamlining abdominal US workflows in critical care and routine practice. Fansong Dong, Yiyun Wu, Chuhao Yin, Juan Tu, Dong Zhang 0007, Xiasheng Guo |
IEEE Trans. Medical Imaging | 5 |
| 2023 | Sidelobe Suppression for a Steerable Parametric Source Using the Sparse Random Array TechniqueabstractA steerable parametric source is designed to steer an audio beam without mechanically rotating the source. To achieve this without the generation of grating lobes requires an ultrasonic array with interelement spacing that is less than half the wavelength of the carrier ultrasound because of the spatial Nyquist criterion. However, ultrasonic wavelengths are typically smaller than the size of an ultrasonic transducer and this generates grating lobes in the radiation pattern, which is known as the spatial aliasing effect. This work proposes a method to suppress sidelobes including these grating lobes by optimizing the position and weight coefficients of the array elements by using a sparse random array technique. This is achieved by using the peak sidelobe level as the objective function and the simulated annealing algorithm for the optimization. Both simulation and experimental results demonstrate the sidelobe level can be effectively suppressed when the average interelement spacing is two wavelengths. It is also found that Westervelt directivity has a significant effect on the spatial aliasing, because it serves as a spatial filter on the product directivity of the ultrasound. Accordingly, the sidelobe suppression performance deteriorates at low audio frequencies and high ultrasound frequencies where Westervelt directivity tends to be broader. However, this deterioration in performance can be addressed by increasing the number of the array elements. Mengtong Li, Ray Kirby, Mahmoud Karimi, Dong Zhang 0007 |
IEEE ACM Trans. Audio Speech Lang. Process. | 7 |