Demo Data from EDBT 2026 / reviewers in the wild / expert
Hui Li 0087
dblp:66/3387-87
· DBLP profile ↗
6ranked-venue papers
4as first author
4since 2021 · last 2024
0000-0002-5413-2012ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 3 first-author · 2 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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.
| 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 |
|---|---|---|---|---|
Mathematical optimization
dynamical systems |
0.5 | 1 | 2021 | Asymptotic multistability and local S-asymptotic ω-periodicity for the nonautonomous fractional-order neural networks with impulses · Sci. China Inf. Sci. 2021 |
Mathematical optimization › dynamical systems
stability analysis |
0.5 | 1 | 2021 | Asymptotic multistability and local S-asymptotic ω-periodicity for the nonautonomous fractional-order neural networks with impulses · Sci. China Inf. Sci. 2021 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Global Stability of Fractional Nonlinear Differential Systems With State-Dependent Delayed ImpulsesabstractThe fractional-order (FO) nonlinear differential system with state-dependent (SD) delayed impulses (DI) is considered in this brief. The considered impulses are related to the delayed state of the system and the delays are SD. A novel lemma for the monotonicity of the solution of Caputo's FO derivative equation is given. By means of linear matrix inequality (LMI) and several comparative arguments, criteria of uniform stability, uniform asymptotical stability, and Mittag-Leffler stability are obtained. Compared with other works on integer-order (IO) impulsive delayed systems with SD delays or fixed delays, how to impose constraints on parameters and impulses is explored, without imposing the boundedness on the state delays. Two examples are implemented to examine the practicality and sharpness of our theoretical analysis. Yonggui Kao 0001, Hui Li 0087, Yunlong Liu 0002, Hongwei Xia, Changhong Wang 0003 |
IEEE Trans. Neural Networks Learn. Syst. | 2 |
| 2022 | Mittag-Leffler Stability of Fractional-Order Nonlinear Differential Systems With State-Dependent DelaysabstractThe stability of fractional-order (FO) nonlinear system with state-dependent delays (SDDs) is investigated. Unlike the usual time-dependent delays, the state-dependent (SD) delays make the size of the delays relative to the states, which makes the system uncertain when historical state information would be used. A Lemma on Riemann-Liouville derivative is first given to ensure the monotonicity of the considered function. Then, based on the Lyapunov method, several sufficient criteria are presented to guarantee the Mittag-Leffler stability of the discussed systems. In the end, three examples are applied to illustrate the correctness and applicability of our theoretical conclusions, including practical applications in submarine positioning models. Hui Li 0087, Yonggui Kao 0001, YangQuan Chen |
IEEE Trans. Circuits Syst. I Regul. Pap. | 1 |
| 2022 | Uniform Stability of Complex-Valued Neural Networks of Fractional Order With Linear Impulses and Fixed Time DelaysabstractAs a generation of the real-valued neural network (RVNN), complex-valued neural network (CVNN) is based on the complex-valued (CV) parameters and variables. The fractional-order (FO) CVNN with linear impulses and fixed time delays is discussed. By using the sign function, the Banach fixed point theorem, and two classes of activation functions, some criteria of uniform stability for the solution and existence and uniqueness for equilibrium solution are derived. Finally, three experimental simulations are presented to illustrate the correctness and effectiveness of the obtained results. Hui Li 0087, Yonggui Kao 0001, Haibo Bao, YangQuan Chen |
IEEE Trans. Neural Networks Learn. Syst. | 1 |
| 2021 | Asymptotic multistability and local S-asymptotic ω-periodicity for the nonautonomous fractional-order neural networks with impulses
Yonggui Kao 0001, Hui Li 0087 |
Sci. China Inf. Sci. | 2 |
| 2020 | New stability criterion of fractional-order impulsive coupled non-autonomous systems on networks
Hui Li 0087, Hong-Li Li, Yonggui Kao 0001 |
Neurocomputing | 1 |
| 2019 | Synchronous stability of the fractional-order discrete-time dynamical network system model with impulsive couplings
Hui Li 0087, Yonggui Kao 0001 |
Neurocomputing | 1 |