EDBT 2026 Demo / reviewers in the wild / expert
Lei Jiao 0005
dblp:47/91-5
· DBLP profile ↗
4ranked-venue papers
2as first author
3since 2021 · last 2025
0000-0003-3434-3186ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 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
2 papers |
Motion planning and robot control · 65% Reinforcement learning · 25% Robot navigation and mapping · 10% | |
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › trajectory planning
quadrotor trajectory planning |
0.5 | 1 | 2021 | Smooth quadrotor trajectory generation for tracking a moving target in cluttered environments · Sci. China Inf. Sci. 2021 |
Robotics › Motion planning and robot control
trajectory planning |
0.5 | 1 | 2021 | Smooth quadrotor trajectory generation for tracking a moving target in cluttered environments · Sci. China Inf. Sci. 2021 |
Machine learning › Reinforcement learning › value-based reinforcement learning
q-learning |
0.4 | 1 | 2019 | Online adaptive Q-learning method for fully cooperative linear quadratic dynamic games · Sci. China Inf. Sci. 2019 |
Robotics › Robot navigation and mapping
target tracking |
0.1 | 1 | 2021 | Smooth quadrotor trajectory generation for tracking a moving target in cluttered environments · Sci. China Inf. Sci. 2021 |
Algorithmic game theory and mechanism design › non-cooperative game
dynamic games |
0.1 | 1 | 2019 | Online adaptive Q-learning method for fully cooperative linear quadratic dynamic games · Sci. China Inf. Sci. 2019 |
Methods — techniques the papers use, named apart from their topics
q-learning · 0.8policy iteration · 0.8smooth trajectory generation · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Location routing problem with interdependent mobile depot operations for post-disaster relief
Lei Jiao 0005, Zhihong Peng, Shuxin Ding, Jinqiang Cui |
Expert Syst. Appl. | 1 |
| 2023 | A multi-stage heuristic algorithm based on task grouping for vehicle routing problem with energy constraint in disasters
Lei Jiao 0005, Zhihong Peng, Lele Xi, Shuxin Ding |
Expert Syst. Appl. | 1 |
| 2021 | Smooth quadrotor trajectory generation for tracking a moving target in cluttered environments
Lele Xi, Zhihong Peng, Lei Jiao 0005, Ben M. Chen |
Sci. China Inf. Sci. | 3 |
| 2019 | Online adaptive Q-learning method for fully cooperative linear quadratic dynamic games
Xinxing Li, Zhihong Peng, Lei Jiao 0005, Lele Xi, Junqi Cai |
Sci. China Inf. Sci. | 3 |