VLDB 2026 Research / reviewers in the wild / expert
Yueguo Luo
dblp:154/1929
· DBLP profile ↗
7ranked-venue papers
3as first author
4since 2021 · last 2026
0000-0002-7387-5778ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 3 · 2 first-author · 2 since 2021Artificial intelligence and machine learning · 2Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Spiking neural P systems with non-gated channels
Yuzhen Zhao, Zhen Yang 0044, Yueguo Luo, Wenke Zang |
Inf. Comput. | 3 |
| 2025 | Homeostasis tissue-like P systems with cell separation
Yueguo Luo, Yuzhen Zhao, Wenqin Li |
Acta Informatica | 1 |
| 2024 | Tissue-like P systems with polarizations
Yueguo Luo, Yuzhen Zhao |
Frontiers Comput. Sci. | 1 |
| 2023 | Spiking neural P systems with long-term potentiation and depression
Yuzhen Zhao, Yongshun Shen, Xuefu Liu, Yueguo Luo, Wenke Zang, Xiyu Liu 0001 |
Inf. Sci. | 4 |
| 2019 | The computational power of timed P systems with active membranes using promotersabstractP systems with active membranes are a class of bioinspired computing models, where the rules are used in the non-deterministic maximally parallel manner. In this paper, first, a new variant of timed P systems with active membranes is proposed, where the application of rules can be regulated by promoters with only two polarizations. Next, we prove that any Turing computable set of numbers can be generated by such a P system in the time-free way. Moreover, we construct a uniform solution to the $\mathcal{SAT}$ problem in the framework of such recognizer timed P systems in polynomial time, and the feasibility and effectiveness of the proposed system is demonstrated by an instance. Compared with the existing methods, the P systems constructed in our work require fewer necessary resources and RS-steps, which show that the solution is effective toNP-complete problem. Yueguo Luo, Haijun Tan |
Math. Struct. Comput. Sci. | 1 |
| 2015 | Relative density based support vector machine
Shuyin Xia, Zhongyang Xiong, Yueguo Luo, Limei Dong, Changyuan Xing |
Neurocomputing | 3 |
| 2015 | Location difference of multiple distances based k-nearest neighbors algorithm
Shuyin Xia, Zhongyang Xiong, Yueguo Luo, Limei Dong |
Knowl. Based Syst. | 3 |