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Shuxian Wu

dblp:328/6232 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 1 since 2021Artificial intelligence and machine learning · 1 · 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
Integrated circuit design · 100%
Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Integrated circuit design › analog and mixed-signal circuits
analog circuit design		 0.011987
Chua's circuit family · Proc. IEEE 1987
Integrated circuit design › analog and mixed-signal circuits › nonlinear circuit
chaotic circuits		 0.011987
Chua's circuit family · Proc. IEEE 1987
Mathematical optimization
dynamical systems		 0.011987
Chua's circuit family · Proc. IEEE 1987

Methods — techniques the papers use, named apart from their topics

circuit simulation · 0.0
YearPublicationVenuePosition
2025 Knee Cartilage Segmentation Using Dual-Channels Graph Attention Network: Data from the Osteoarthritis Initiative
Hong Seng Gan, Hancang Mi, Shuxian Wu, Ozgur Tosun, Atakan Bayir, Özge Ertem
 IEEE Big Data3
1987 Chua's circuit family
abstract
Chaos has been widely reported and studied using Chua's circuit. This tutorial paper presents a generalization of this well-known chaotic circuit into a hugh 6-parameter family of potentially chaotic circuits, henceforth referred to a Chua's Circuit Family. The highlight of this tutorial consists of a collection of three-dimensional phase portraits associated with two representative members of this family. These phase portraits show how the associated vector fields evolve from order into chaos.
Shuxian Wu
 Proc. IEEE1