Demo Data from VLDB 2026 / reviewers in the wild / expert
Quanxi Zhou
dblp:382/0090
· 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
Computer networks · 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 · 50% Legged, aerial and field robots · 50% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › wheeled mobile robot
automated guided vehicles |
1.0 | 1 | 2026 | Deep Reinforcement Learning for Automated Guided Vehicle Trajectory Planning in Industry 4.0 · INFOCOM 2026 |
Robotics › Motion planning and robot control
trajectory planning |
1.0 | 1 | 2026 | Deep Reinforcement Learning for Automated Guided Vehicle Trajectory Planning in Industry 4.0 · INFOCOM 2026 |
Computational science and engineering › manufacturing automation › manufacturing
industry 4.0 |
0.3 | 1 | 2026 | Deep Reinforcement Learning for Automated Guided Vehicle Trajectory Planning in Industry 4.0 · INFOCOM 2026 |
Methods — techniques the papers use, named apart from their topics
deep reinforcement learning · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Deep Reinforcement Learning for Automated Guided Vehicle Trajectory Planning in Industry 4.0
Quanxi Zhou, Wencan Mao, Yu Xiao 0001, Manabu Tsukada, Yusheng Ji |
INFOCOM | 1 |