Demo Data from VLDB 2026 / reviewers in the wild / expert
Xianzhuo Wang
dblp:304/2025
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 architecture, parallel and distributed computing, and storage systems
1 paper |
Hardware accelerators and domain-specific architectures · 100% | |
| Computer graphics and multimedia
1 paper |
Multimedia analysis and retrieval · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware accelerators and domain-specific architectures › machine learning accelerator › neural network accelerator
convolution acceleration |
0.5 | 1 | 2021 | A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis · Int. J. Comput. Vis. 2021 |
Hardware accelerators and domain-specific architectures › machine learning accelerator › convolution optimization
winograd convolution |
0.5 | 1 | 2021 | A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis · Int. J. Comput. Vis. 2021 |
Multimedia analysis and retrieval
video analysis |
0.1 | 1 | 2021 | A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis · Int. J. Comput. Vis. 2021 |
Methods — techniques the papers use, named apart from their topics
winograd method · 1.0n-d convolution · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis
Rui Zhang 0040, Xishan Zhang, Xianzhuo Wang, Pengwei Jin, Shaoli Liu, Ling Li 0001, Yunji Chen |
Int. J. Comput. Vis. | 5 |