VLDB 2026 Research / reviewers in the wild / expert

Wen Hou

dblp:17/5623 · DBLP profile ↗
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3ranked-venue papers
1as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author

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
Multi-agent systems · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems › multimodal agent
vision-language model agent		 1.012026
Spec-o3: A Tool-Augmented Vision-Language Agent for Rare Celestial Object Candidate Vetting via Automated Spectral Inspection · ACL (1) 2026
Computational science and engineering
astronomy		 0.312026
Spec-o3: A Tool-Augmented Vision-Language Agent for Rare Celestial Object Candidate Vetting via Automated Spectral Inspection · ACL (1) 2026

Methods — techniques the papers use, named apart from their topics

tool augmentation · 2.0spectral inspection · 2.0
YearPublicationVenuePosition
2026 Spec-o3: A Tool-Augmented Vision-Language Agent for Rare Celestial Object Candidate Vetting via Automated Spectral Inspection
abstract
Minghui Jia, Qichao Zhang, Ali Luo, Linjing Li, Shuo Ye, Hailing Lu, Wen Hou, Dongbin Zhao. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Minghui Jia, A-Li Luo, Linjing Li, Shuo Ye, Hailing Lu, Wen Hou, Dongbin Zhao
 ACL (1)7
2020 Deep and joint learning of longitudinal data for Alzheimer's disease prediction
Bai Ying Lei, Mengya Yang, Peng Yang 0011, Feng Zhou 0003, Wen Hou, Wenbin Zou, Xia Li 0006, Tianfu Wang 0001, Xiaohua Xiao, Shuqiang Wang
 Pattern Recognit.5
2010 Use of a continuation method for analyzing startup circuits
abstract
It is shown how a continuation method can be used to verify the effectiveness of startup circuitry used in bootstrapped circuits to avoid the zero current state. In particular, the curve generated by such a continuation method can be used to assess the robustness of the startup circuitry.
Wen Hou, Michael M. Green
 ISCAS1