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Shijie Zhao
Researcher at Harbin Institute of Technology
Publications - 5
Citations - 84
Shijie Zhao is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Computer science & Feature selection. The author has co-authored 1 publications.
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Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications
TL;DR: Wang et al. as mentioned in this paper proposed a swarm intelligence bioinspired optimization algorithm, called the Dandelion Optimizer (DO), for solving continuous optimization problems, which simulates the process of dandelion seed long distance flight relying on wind, which is divided into three stages.
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Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems
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A feature selection method via relevant-redundant weight
TL;DR: Wang et al. as mentioned in this paper proposed a relevant-redundant weight-based feature criterion (FSRRW) to enhance the classification ability of filter and information theory based feature selection methods and reduce the redundancy of the selected subset.
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A power reformulation continuous-time algorithm for nonconvex distributed constrained optimization over multi-agent systems
Na Liu,Shijie Zhao,Sitian Qin +2 more
TL;DR: In this paper, a continuous-time algorithm is proposed over the multi-agent system where each agent exchanges local information with other agents under an undirected communication graph, and it is proved that the proposed continuous time algorithm locally converges to a strict local optimal solution of the considered original nonconvex distributed optimization problem.
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A dynamic support ratio of selected feature-based information for feature selection
TL;DR: Wang et al. as mentioned in this paper proposed a dynamic support ratio (DSR) based feature selection method, which explicitly describes the dynamic interactions between selected features and candidate features, and the feature relevance and feature redundancy are treated adaptively.