Demo Data from VLDB 2026 / reviewers in the wild / expert
Xiangying Kong
dblp:160/1439
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 since 2021Security and privacy · 1
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.
| Software engineering, system software, and programming languages
1 paper |
Requirements engineering and software design · 50% Program verification · 50% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 50% Performance modeling and evaluation · 50% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program verification
formal modeling |
0.2 | 1 | 2015 | Modeling Dependability Features for Real-Time Embedded Systems · IEEE Trans. Dependable Secur. Comput. 2015 |
Requirements engineering and software design
model-driven engineering |
0.2 | 1 | 2015 | Modeling Dependability Features for Real-Time Embedded Systems · IEEE Trans. Dependable Secur. Comput. 2015 |
Performance modeling and evaluation
dependability modeling |
0.2 | 1 | 2015 | Modeling Dependability Features for Real-Time Embedded Systems · IEEE Trans. Dependable Secur. Comput. 2015 |
Embedded and real-time systems
real-time embedded systems |
0.2 | 1 | 2015 | Modeling Dependability Features for Real-Time Embedded Systems · IEEE Trans. Dependable Secur. Comput. 2015 |
Methods — techniques the papers use, named apart from their topics
z notation · 0.4model transformation · 0.4MARTE profile · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | An Unsupervised Learning Log Anomaly Detection Method Based on Graph Neural Network
Xianlang Hu, Guangsheng Feng, Xinling Huang, Xiangying Kong, Hongwu Lv |
NPC (2) | 4 |
| 2015 | Modeling Dependability Features for Real-Time Embedded SystemsabstractEnsuring dependability is significant in the development process of Real-Time Embedded Systems (RTESs). The dependability of a system model is usually presented by temporal and data constraints, which are ambiguous and incomplete when using semi-formal methods. Formal methods have precise semantics and strong verifiability, but few can capture the dependability features for RTESs. This paper presents Z-MARTE, an extensible modeling method combining MARTE profile and Z notation, to provide rigorous specifications towards the dependability features of RTESs. To extend the descriptive ability of Z, we design the time model, structure model and behavior model in Z-MARTE, specifying temporal and data constraints in the form of predicates. Z-MARTE can be edited and verified by the existing tools for Z. The converting from MARTE to Z-MARTE is supported by ZMT, a model transformation tool we design. A case study of a communication system is given to illustrate the modeling and verification procedure of Z-MARTE. Siru Ni, Yi Zhuang 0002, Zining Cao, Xiangying Kong |
IEEE Trans. Dependable Secur. Comput. | 4 |