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Wai Keung Wong
Researcher at Hong Kong Polytechnic University
Publications - 208
Citations - 5685
Wai Keung Wong is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Feature extraction & Production planning. The author has an hindex of 41, co-authored 193 publications receiving 4623 citations. Previous affiliations of Wai Keung Wong include Shenzhen University & Donghua University.
Papers
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Journal ArticleDOI
Distributed Synchronization of Coupled Neural Networks via Randomly Occurring Control
Yang Tang,Wai Keung Wong +1 more
TL;DR: It is revealed that, although randomly occurring control is an intermediate method among the three types of control in terms of control costs and convergence rates, it has fewer restrictions to implement and can be more easily applied in practice than periodically intermittent control.
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A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm
Wai Keung Wong,Zhaoxia Guo +1 more
TL;DR: A hybrid intelligent (HI) model, comprising a data preprocessing component and a HI forecaster, is developed to tackle the medium-term fashion sales forecasting problem and demonstrates that the performance of the proposed model is much superior to traditional ARIMA models and two recently developed neural network models.
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Approximate Orthogonal Sparse Embedding for Dimensionality Reduction
TL;DR: A unified sparse learning framework is proposed by introducing the sparsity or L1 -norm learning, which further extends the LLE-based methods to sparse cases and can be viewed as a general model for sparse linear and nonlinear subspace learning.
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Coordinating supply chains with sales rebate contracts and vendor-managed inventory
TL;DR: In this article, a model in the context of a two-echelon supply chain with a single supplier serving multiple retailers in vendor-managed inventory (VMI) partnership is proposed.
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A seasonal discrete grey forecasting model for fashion retailing
Min Xia,Min Xia,Wai Keung Wong +2 more
TL;DR: A new seasonal discrete grey forecasting model based on cycle truncation accumulation with amendable items to improve sales forecasting accuracy and outperforms other state-of-art forecasting techniques is presented.