EDBT 2026 Demo / reviewers in the wild / expert
Feng Fu 0001
dblp:13/8130-1
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0002-9176-8159ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 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 |
Multi-agent systems · 100% | |
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems
multi-agent learning |
0.8 | 1 | 2024 | Mathematics of multi-agent learning systems at the interface of game theory and artificial intelligence · Sci. China Inf. Sci. 2024 |
Algorithmic game theory and mechanism design › multi-agent systems
multi-agent learning |
0.8 | 1 | 2024 | Mathematics of multi-agent learning systems at the interface of game theory and artificial intelligence · Sci. China Inf. Sci. 2024 |
Methods — techniques the papers use, named apart from their topics
multi-agent reinforcement learning · 1.5game theory · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Mathematics of multi-agent learning systems at the interface of game theory and artificial intelligence
Long Wang 0001, Feng Fu 0001, Xingru Chen |
Sci. China Inf. Sci. | 2 |