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Demo Data from EDBT 2026 / reviewers in the wild / expert

Yaodong Su

dblp:401/7860 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2 · 1 first-author · 2 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.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › retrieval-augmented generation
graph-based retrieval-augmented generation		 0.912025
In-depth Analysis of Graph-based RAG in a Unified Framework · Proc. VLDB Endow. 2025
Information retrieval
retrieval-augmented generation		 0.912025
In-depth Analysis of Graph-based RAG in a Unified Framework · Proc. VLDB Endow. 2025

Methods — techniques the papers use, named apart from their topics

large language model · 0.9graph neural network · 0.9
YearPublicationVenuePosition
2026 Clue-RAG: Towards Accurate and Cost-Efficient Graph-Based RAG Via Multi-Partite Graph-Based Index
Yaodong Su, Yixiang Fang, Yingli Zhou, Chuanhui Yang
 ICDE1
2025 In-depth Analysis of Graph-based RAG in a Unified Framework
Yingli Zhou, Yaodong Su, Youran Sun, Taotao Wang, Runyuan He, Sicong Liang, Xilin Liu 0001, Yuchi Ma, Yixiang Fang
 Proc. VLDB Endow.2