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Shu-Chuan Chu
Researcher at Shandong University of Science and Technology
Publications - 303
Citations - 5475
Shu-Chuan Chu is an academic researcher from Shandong University of Science and Technology. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 28, co-authored 231 publications receiving 3652 citations. Previous affiliations of Shu-Chuan Chu include University of South Australia & Sewanee: The University of the South.
Papers
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Book ChapterDOI
Kernel Manifold Learning-Based Face Recognition
TL;DR: This paper focuses on the development of a meaningful low-dimensional subspace in a high-dimensional input space such as PCA and LDA through linear dimensionality reduction.
Book ChapterDOI
Kernel Semi-Supervised Learning-Based Face Recognition
TL;DR: Semi-supervised learning methods attempt to improve the performance of a supervised or an unsuper supervised learning in the presence of side information.
Journal ArticleDOI
Multi-strategy improved parallel antlion algorithm and applied to feature selection
TL;DR: A parallel idea in the algorithm, through the communication strategy between groups based on Quantum-Behaved to enhance the diversity of the population, and two strategies, Opposition Learning and Gaussian Mutation, to balance the performance of exploration and exploitation during the execution of the algorithm are adopted.
Journal ArticleDOI
Surrogate-Assisted Hybrid Meta-Heuristic Algorithm with an Add-Point Strategy for a Wireless Sensor Network
TL;DR: In this paper , the authors proposed an efficient surrogate-assisted hybrid meta-heuristic algorithm by combining the surrogate assisted model with gannet optimization algorithm (GOA) and the differential evolution (DE) algorithm, abbreviated as SAGD.
Book ChapterDOI
Bio-inspired Evolutionary Computing with Context-Awareness and Collective-Effect
TL;DR: In this paper, an innovative conception is conceived to break the development bottleneck of the traditional ECs at present, which is bio-inspired evolutionary computing with context-awareness and collective effect called as Next-Generation ECs (EC 2.0).