VLDB 2026 Research / reviewers in the wild / expert
Nengjin Zhuo
dblp:360/6435
· DBLP profile ↗
5ranked-venue papers
5as first author
5since 2021 · last 2026
0009-0006-7720-2876ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 3 · 3 first-author · 3 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | A novel dual-attribute fault diagnosis measure for hypercube networks
Nengjin Zhuo, Jou-Ming Chang |
Discret. Appl. Math. | 1 |
| 2026 | The g-extra H-structure diagnosability for assessing structural fault quantity in multiprocessor systems
Nengjin Zhuo, Jou-Ming Chang |
J. Supercomput. | 1 |
| 2026 | A Novel Diagnostic Measurement of Structural Faults in Multiprocessor Systems: Based on Component Quantity AnalysisabstractFault diagnosis is essential for maintaining the regular operation of multiprocessor systems. In this paper, we introduce a novel concept of$r$-component$H$-structure diagnosability, denoted as$t_{s}^{r}(G;H)$, which represents the maximum number of$r$-component$H$-structure faults that system$G$can precisely detect. This parameter enables us to assess the overall diagnosability of the system. Furthermore, we strictly prove that under the PMC and MM* diagnostic models, the following results hold: for$n\geq 7$,$t_{s}^{2}(Q_{n};K_{1,1})=2n-4$; for$n\geq 6$,$t_{s}^{2}(Q_{n};K_{1,2})=n-2$. These results confirm that when the system experiences a$K_{1,1}$-structural fault and is disconnected at this time, the maximum number of detectable$K_{1,1}$-structures within the system is guaranteed to be twice the original number in previous studies. Nengjin Zhuo, Jou-Ming Chang |
IEEE Trans. Reliab. | 1 |
| 2025 | Non-inclusive diagnosability of folded hypercube-like networks
Nengjin Zhuo, Jou-Ming Chang, Chengfu Ye |
Discret. Appl. Math. | 1 |
| 2025 | A generalized approach for solving non-inclusive diagnosability of regular networks under the PMC model
Nengjin Zhuo, Jou-Ming Chang, Chengfu Ye |
Theor. Comput. Sci. | 1 |