Demo Data from EDBT 2026 / reviewers in the wild / expert
Haoyun Zhou
dblp:315/5869
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0006-2345-7355ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 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.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › web search
link analysis |
1.0 | 1 | 2026 | Fairness-aware PageRank via Edge Reweighting · WSDM 2026 |
Information retrieval
retrieval models |
1.0 | 1 | 2026 | Fairness-aware PageRank via Edge Reweighting · WSDM 2026 |
Information retrieval › ranking › graph-based ranking
pagerank |
0.3 | 1 | 2026 | Fairness-aware PageRank via Edge Reweighting · WSDM 2026 |
Methods — techniques the papers use, named apart from their topics
edge reweighting · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Fairness-aware PageRank via Edge ReweightingabstractLink-analysis algorithms, such as PageRank, are instrumental in understanding the structural dynamics of networks by evaluating the importance of individual vertices based on their connectivity. Recently, with the rising importance of responsible AI, the question of fairness in link-analysis algorithms has gained traction. Honglian Wang, Haoyun Zhou, Aristides Gionis |
WSDM | 2 |