Demo Data from VLDB 2026 / reviewers in the wild / expert
Zhaokun Zhong
dblp:417/7217
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0006-4764-3953ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, 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 |
Graph learning · 50% Trustworthy machine learning · 50% | |
| Network and information security
1 paper |
Security and privacy of machine learning · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning
graph adversarial attack |
1.0 | 1 | 2026 | JANUS: A Dual-Constraint Generative Framework for Stealthy Node Injection Attacks · WWW 2026 |
Machine learning › Graph learning
graph neural network |
1.0 | 1 | 2026 | JANUS: A Dual-Constraint Generative Framework for Stealthy Node Injection Attacks · WWW 2026 |
Security and privacy of machine learning
adversarial attack |
1.0 | 1 | 2026 | JANUS: A Dual-Constraint Generative Framework for Stealthy Node Injection Attacks · WWW 2026 |
Methods — techniques the papers use, named apart from their topics
dual-constraint generative framework · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | JANUS: A Dual-Constraint Generative Framework for Stealthy Node Injection Attacks
Xiaobing Pei, Zhaokun Zhong, Wenqiang Hao, Zhenghao Tang |
WWW | 3 |