Demo Data from EDBT 2026 / reviewers in the wild / expert
Shuaiqun Chen
dblp:357/5050
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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 |
Integrated circuit design · 67% Emerging computing paradigms · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Integrated circuit design
analog and mixed-signal circuits |
0.7 | 1 | 2023 | A New Compact Model for Third-Order Memristive Neuron With Box-Shaped Hysteresis and Dynamics Analysis · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023 |
Integrated circuit design › memristor
memristor compact modeling |
0.7 | 1 | 2023 | A New Compact Model for Third-Order Memristive Neuron With Box-Shaped Hysteresis and Dynamics Analysis · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023 |
Emerging computing paradigms
neuromorphic computing |
0.7 | 1 | 2023 | A New Compact Model for Third-Order Memristive Neuron With Box-Shaped Hysteresis and Dynamics Analysis · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023 |
Methods — techniques the papers use, named apart from their topics
piecewise-linear model · 0.7dynamic route analysis · 0.7coordinate system shifting · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | A New Compact Model for Third-Order Memristive Neuron With Box-Shaped Hysteresis and Dynamics AnalysisabstractThis article proposes a new compact model and presents a circuit-theoretical analysis for a third-order memristive neuromorphic element fabricated by Kumar et al. The proposed model mainly consists of a box-shaped resistor model and a simplified piecewise-linear memristor model. Since the dynamic behavior of the box-shaped hysteresis in the quasistatic current–voltage curve is mostly unexplored, we first extract the box-shaped resistor model and construct its oscillators. The coordinate system shifting method and dynamic route analysis method are used to reveal the operating mechanism of boxshaped resistor-based oscillators. Both the theoretical analysis and simulation verification indicate that the box-shaped hysteresis characteristic facilitates the generation of neuromorphic action potentials. The proposed new compact model not only captures quasi-static characteristics but also includes dynamic behaviors, such as action potential, periodic spiking, and periodic bursting. The influences of the model parameters are further investigated to reveal the mechanism of the neuromorphic behaviors in the box-shaped hysteresis and positive differential resistance regions. Simulation results manifest the feasibility of the proposed model and the correctness of the presented analysis methods, which pave the way to the optimized design of memristive devices and the research of neuromorphic dynamics. Yan Liang 0005, Shuaiqun Chen, Zhenzhou Lu, Guangyi Wang, Herbert H. C. Iu |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2 |