Demo Data from EDBT 2026 / reviewers in the wild / expert
Zhengquan Yang
dblp:119/0725
· DBLP profile ↗
4ranked-venue papers
2as first author
2since 2021 · last 2021
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author · 2 since 2021Artificial intelligence and machine learning · 1Computer networks · 1
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
1 paper |
Mathematical optimization · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems
distributed coordination |
0.5 | 1 | 2021 | Finite-time distributed projection scheme for intersections of convex sets · Sci. China Inf. Sci. 2021 |
Mathematical optimization › continuous optimization
convex optimization |
0.5 | 1 | 2021 | Finite-time distributed projection scheme for intersections of convex sets · Sci. China Inf. Sci. 2021 |
Mathematical optimization › distributed optimization
distributed convex optimization |
0.5 | 1 | 2021 | Finite-time distributed projection scheme for intersections of convex sets · Sci. China Inf. Sci. 2021 |
Methods — techniques the papers use, named apart from their topics
finite-time projection · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Finite-time distributed projection scheme for intersections of convex sets
Zhengquan Yang, Qing Zhang 0005, Zengqiang Chen 0001 |
Sci. China Inf. Sci. | 1 |
| 2021 | Finite-time formation control for first-order multi-agent systems with region constraintsabstractIn this study, the finite-time formation control of multi-agent systems with region constraints is studied. Multiple agents have first-order dynamics and a common target area. A novel control algorithm is proposed using local information and interaction. If the communication graph is undirected and connected and the desired framework is rigid, it is proved that the controller can be used to solve the formation problem with a target area. That is, all agents can enter the desired region in finite time while reaching and maintaining the desired formation shapes. Finally, a numerical example is given to illustrate the results. Zhengquan Yang, Xiaofang Pan, Qing Zhang 0005, Zengqiang Chen 0001 |
Frontiers Inf. Technol. Electron. Eng. | 1 |
| 2018 | TOA Estimation Algorithm Based on Noncoherent Detection in IR-UWB System
Yuanfa Ji, Jianguo Song, Xiyan Sun, Suqing Yan, Zhengquan Yang |
WASA | 5 |
| 2016 | Adaptive flocking of heterogeneous multi-agents systems with nonlinear dynamics
Qing Zhang 0005, Yaru Hao, Zhengquan Yang, Zengqiang Chen 0001 |
Neurocomputing | 3 |