Demo Data from EDBT 2026 / reviewers in the wild / expert
Yikai Fu
dblp:345/7090
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
—ORCID · none
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 |
Reinforcement learning · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
GPUs and heterogeneous computing · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Machine learning and data management · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Reinforcement learning › multi-agent reinforcement learning
mean-field reinforcement learning |
1.0 | 1 | 2026 | Heterogeneous Mean-field Reinforcement Learning for Age-minimal GPU Batching · INFOCOM 2026 |
Machine learning › Reinforcement learning
multi-agent reinforcement learning |
1.0 | 1 | 2026 | Heterogeneous Mean-field Reinforcement Learning for Age-minimal GPU Batching · INFOCOM 2026 |
GPUs and heterogeneous computing
GPU scheduling |
1.0 | 1 | 2026 | Heterogeneous Mean-field Reinforcement Learning for Age-minimal GPU Batching · INFOCOM 2026 |
Machine learning and data management
machine learning systems |
0.3 | 1 | 2026 | Heterogeneous Mean-field Reinforcement Learning for Age-minimal GPU Batching · INFOCOM 2026 |
Methods — techniques the papers use, named apart from their topics
mean-field reinforcement learning · 3.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Heterogeneous Mean-field Reinforcement Learning for Age-minimal GPU Batching
Yikai Fu, Meng Zhang 0013 |
INFOCOM | 1 |