VLDB 2026 Research / reviewers in the wild / expert
Jinyao Wang
dblp:256/7505
· DBLP profile ↗
5ranked-venue papers
0as first author
5since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 3 · 3 since 2021Artificial intelligence and machine learning · 2 · 2 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Sub-graph isomorphism queries in large fuzzy spatiotemporal RDF graphs
Luyi Bai, Xiaofeng Di, Jinyao Wang |
Knowl. Based Syst. | 3 |
| 2025 | Robust time series forecasting using a novel fuzzy regression approach based on kernel functions
Lingtao Kong, Jinyao Wang |
Inf. Sci. | 2 |
| 2023 | Comparative analysis of urban underground public space and user walking paths based on the social network model
Xinming Jia, Ling Fang, Jinyao Wang, Simai Pang, Minyao Xu |
Neural Comput. Appl. | 4 |
| 2022 | Query Relaxation and Result Ranking for Uncertain Spatiotemporal XML DataabstractDue to the widespread uses of uncertain spatiotemporal data, web ordinary users have access to query these data in various ways. However, users often cannot accurately give query constraints so that the query results may be empty or very few. Traditional algorithms cannot be used to deal with uncertain spatiotemporal data because they have no relaxation query on spatiotemporal attributes. Therefore, in this paper, the authors propose new flexible query algorithms, which add relaxation query processing for spatiotemporal attributes. Considering that XML has great advantages in exchanging and representing spatiotemporal data, they propose an uncertain spatiotemporal data model based on XML. According to the different number of relaxing attributes, they give SingleRelaxation algorithm and MultipleRelaxation algorithm. In addition, a T-List structure is designed to quickly locate the nodes' positions of uncertain spatiotemporal data, and RSort algorithm is proposed to sort accurate query results and extended query results. The experimental results show the superiority of the approach. Luyi Bai, Jinyao Wang, Xiangfu Meng |
J. Database Manag. | 2 |
| 2021 | Fixing the inconsistencies in fuzzy spatiotemporal RDF graph
Luyi Bai, Jinyao Wang, Xiaofeng Di |
Inf. Sci. | 2 |