Demo Data from EDBT 2026 / reviewers in the wild / expert
Xiangduan Zeng
dblp:305/4979
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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.
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control
adaptive control |
1.0 | 1 | 2026 | Robust composite adaptive predefined-time control of n-link robotic systems with prescribed performance · Sci. China Inf. Sci. 2026 |
Robotics › Motion planning and robot control
robot control |
1.0 | 1 | 2026 | Robust composite adaptive predefined-time control of n-link robotic systems with prescribed performance · Sci. China Inf. Sci. 2026 |
Robotics › Motion planning and robot control › robot control › nonlinear control
prescribed performance control |
0.3 | 1 | 2026 | Robust composite adaptive predefined-time control of n-link robotic systems with prescribed performance · Sci. China Inf. Sci. 2026 |
Methods — techniques the papers use, named apart from their topics
predefined-time control · 1.0composite adaptive control · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Robust composite adaptive predefined-time control of n-link robotic systems with prescribed performance
Xiangduan Zeng, Changchun Hua, Kuo Li 0001 |
Sci. China Inf. Sci. | 1 |