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Shengbin Wang

dblp:172/4389 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
0009-0001-5961-2752ORCID · corroborated

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

Artificial intelligence and machine learning · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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
Quantum computing and quantum information · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational finance and economics · 100%

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

TopicWeightPapersLastEvidence papers
Quantum computing and quantum information
quantum algorithms
0.912025
Variational quantum eigensolver with linear depth problem-inspired ansatz for solving portfolio optimization in finance · Sci. China Inf. Sci. 2025
Quantum computing and quantum information › quantum algorithms
variational quantum eigensolver
0.912025
Variational quantum eigensolver with linear depth problem-inspired ansatz for solving portfolio optimization in finance · Sci. China Inf. Sci. 2025
Computational finance and economics › portfolio management
portfolio optimization
0.312025
Variational quantum eigensolver with linear depth problem-inspired ansatz for solving portfolio optimization in finance · Sci. China Inf. Sci. 2025

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

problem-inspired ansatz · 1.7
YearPublicationVenuePosition
2025 Variational quantum eigensolver with linear depth problem-inspired ansatz for solving portfolio optimization in finance
Shengbin Wang, Guihui Li, ShuBin Zhao, Dongyi Zhao, Menghan Dou, Yongjian Gu, Yu-Chun Wu, Guoping Guo
Sci. China Inf. Sci.1
2022 Quantum-inspired complex convolutional neural networks
Shangshang Shi, Guolong Cui, Shengbin Wang, Ruimin Shang, Zhiqiang Wei 0002, Yongjian Gu
Appl. Intell.4