VLDB 2026 Research / reviewers in the wild / expert
Ranxu Zhang
dblp:384/7852
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0006-7222-2149ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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 |
Trustworthy machine learning · 50% Knowledge representation and reasoning · 50% | |
| Databases, data mining, and information retrieval
1 paper |
Recommender systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning › causal reasoning
causal learning |
1.0 | 1 | 2026 | MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation · WWW 2026 |
Machine learning › Trustworthy machine learning
interpretability |
1.0 | 1 | 2026 | MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation · WWW 2026 |
Recommender systems › implicit feedback learning
multi-behavior recommendation |
1.0 | 1 | 2026 | MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation · WWW 2026 |
Methods — techniques the papers use, named apart from their topics
model-agnostic framework · 2.0causal inference · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
Ranxu Zhang, Junjie Meng, Ying Sun 0006, Ziqi Xu 0001, Yanyong Zhang, Chao Wang 0086 |
WWW | 1 |