EDBT 2026 Demo / reviewers in the wild / expert
Shuofu Liu
dblp:432/8109
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0004-5361-2753ORCID · 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.
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 50% Program synthesis and code generation · 50% | |
| Artificial intelligence
1 paper |
Multi-agent 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 › Multi-agent systems › LLM-based multi-agent systems
multi-agent debate |
1.0 | 1 | 2026 | Mitigating Cognitive Vulnerabilities in Code Generation via Multi-Agent Adversarial Debate · WWW 2026 |
Compilers and program optimization
code generation |
1.0 | 1 | 2026 | Mitigating Cognitive Vulnerabilities in Code Generation via Multi-Agent Adversarial Debate · WWW 2026 |
Program synthesis and code generation
code generation robustness |
1.0 | 1 | 2026 | Mitigating Cognitive Vulnerabilities in Code Generation via Multi-Agent Adversarial Debate · WWW 2026 |
Methods — techniques the papers use, named apart from their topics
multi-agent system · 2.0adversarial debate · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Mitigating Cognitive Vulnerabilities in Code Generation via Multi-Agent Adversarial Debate
Shuofu Liu, Quanjiang Guo |
WWW | 1 |