Demo Data from VLDB 2026 / reviewers in the wild / expert
Hao Zhan
dblp:53/7794
· DBLP profile ↗
3ranked-venue papers
1as first author
2since 2021 · last 2026
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 first-authorDatabases, 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.
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 67% Multi-agent systems · 33% |
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
multi-agent collaboration |
1.0 | 1 | 2026 | Leibniz: Theory-of-Mind Driven Neuro-Symbolic Logical Reasoning via Multi-Agent Collaboration · ACL (1) 2026 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
neuro-symbolic reasoning |
1.0 | 1 | 2026 | Leibniz: Theory-of-Mind Driven Neuro-Symbolic Logical Reasoning via Multi-Agent Collaboration · ACL (1) 2026 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
theory of mind |
1.0 | 1 | 2026 | Leibniz: Theory-of-Mind Driven Neuro-Symbolic Logical Reasoning via Multi-Agent Collaboration · ACL (1) 2026 |
Methods — techniques the papers use, named apart from their topics
neuro-symbolic reasoning · 1.0multi-agent collaboration · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Leibniz: Theory-of-Mind Driven Neuro-Symbolic Logical Reasoning via Multi-Agent CollaborationabstractYue Fan, Hu Zhang, Yunxiao Zhao, Guangjun Zhang, Hao Zhan, Ru Li, Hongye Tan, Yuanlong Wang. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026. Yunxiao Zhao, Hao Zhan, Hongye Tan |
ACL (1) | 5 |
| 2026 | AirfoilAgent: Airfoil aerodynamics optimization design via large language model multi-agent collaborations
Hao Zhan, Baigang Mi |
Adv. Eng. Informatics | 2 |
| 2020 | On the Responsible Subjects of Self-Driving Cars under the SAE System: An Improvement SchemeabstractThe issue of how to identify the liability of subjects after a traffic accident takes place remains a puzzle regarding the SAE classification system. The SAE system is not good at dealing with the problem of responsibility evaluation; therefore, building a new classification system for self-driving cars from the perspective of the subject's liability is a possible way to solve this problem. This new system divides automated driving into three levels: i) assisted driving based on the will of drivers, ii) automated driving based on the will of the manufacturers, and iii) fully automated driving based on social will. The corresponding responsible subjects for level one, level two, and level three are the drivers, the manufacturers, and society, respectively. Hao Zhan, Dan Wan |
ISCAS | 1 |