Demo Data from VLDB 2026 / reviewers in the wild / expert
Siyong Song
dblp:339/6093
· DBLP profile ↗
4ranked-venue papers
2as first author
4since 2021 · last 2026
0009-0009-2793-9791ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems
networked control systems |
0.7 | 1 | 2023 | Stochastic stabilization of Markovian jump systems closed by a communication network: an auxiliary system approach · Sci. China Inf. Sci. 2023 |
Mathematical optimization › control theory › optimal control
stochastic control |
0.7 | 1 | 2023 | Stochastic stabilization of Markovian jump systems closed by a communication network: an auxiliary system approach · Sci. China Inf. Sci. 2023 |
Methods — techniques the papers use, named apart from their topics
auxiliary system approach · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | K-Means Mode-Clustered Like-Fuzzy Control for Stochastic Markovian Jump Systems and Its Application to DoS Attacks
Siyong Song, Yingchun Wang 0003, Fei Teng 0004, Huaguang Zhang |
IEEE Trans Autom. Sci. Eng. | 1 |
| 2026 | Mode Cluster-Based Event-Triggered Control for Stochastic Markovian Jump Systems Under Denial-of-Service AttackabstractThis article investigates the mode cluster-based event-triggered control (MCETC) of stochastic Markovian jump systems (SMJSs) under denial-of-service (DoS) attack. First, a novel MCETC framework is designed by considering the interplay among subsystems, DoS attacks, and the event-triggered mechanism (ETM). In this framework, the controller mode is reconstructed, and the number of controller modes is reduced by reclustering the system modes. It significantly reduces the conservatism of the system compared to existing mode-dependent/-independent controllers. Second, a switching ETM is designed for scenarios with and without DoS attack activation, which can effectively save network bandwidth resources and reduce computational load. Third, a multi-Lyapunov function based on DoS attacks is proposed to ensure the stability of the closed-loop SMJSs. Then, the controller gains and event-triggered parameters are jointly solved via the linear matrix inequality (LMI) technique. Moreover, the maximum allowable sampling interval (MASI) is given such that the controller can restore the control signals as soon as a DoS attack ends, which enables faster stabilization of the closed-loop system. Finally, a numerical example is used to verify the effectiveness and superiority of the proposed method. Siyong Song, Yingchun Wang 0003, Jiayue Sun, Yunfei Mu |
IEEE Trans. Cybern. | 1 |
| 2024 | Stabilization of stochastic systems with sampled-state feedback controllers
Siyong Song, Yande Zhang |
Inf. Sci. | 2 |
| 2023 | Stochastic stabilization of Markovian jump systems closed by a communication network: an auxiliary system approach
Siyong Song |
Sci. China Inf. Sci. | 2 |