Demo Data from VLDB 2026 / reviewers in the wild / expert
Gatai Bai
dblp:185/9546
· DBLP profile ↗
3ranked-venue papers
3as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 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 |
Information theory · 54% Mathematical optimization · 46% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › signal processing › compressed sensing
sparse recovery |
0.1 | 1 | 2017 | Fast FOCUSS method based on bi-conjugate gradient and its application to space-time clutter spectrum estimation · Sci. China Inf. Sci. 2017 |
Mathematical optimization › iterative methods
conjugate gradient method |
0.1 | 1 | 2016 | Bi-conjugate gradient based computation of weight vector in space-time adaptive processing · Sci. China Inf. Sci. 2016 |
Methods — techniques the papers use, named apart from their topics
bi-conjugate gradient · 0.5FOCUSS · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Fast FOCUSS method based on bi-conjugate gradient and its application to space-time clutter spectrum estimation
Gatai Bai, Ran Tao 0003, Juan Zhao 0001, Xia Bai, Yue Wang 0001 |
Sci. China Inf. Sci. | 1 |
| 2017 | Parameter-searched OMP method for eliminating basis mismatch in space-time spectrum estimation
Gatai Bai, Ran Tao 0003, Juan Zhao 0001, Xia Bai |
Signal Process. | 1 |
| 2016 | Bi-conjugate gradient based computation of weight vector in space-time adaptive processing
Gatai Bai, Ran Tao 0003, Yue Wang 0001 |
Sci. China Inf. Sci. | 1 |