scispace - formally typeset
K

Kin Keung Lai

Researcher at Shenzhen University

Publications -  587
Citations -  15177

Kin Keung Lai is an academic researcher from Shenzhen University. The author has contributed to research in topics: Supply chain & Artificial neural network. The author has an hindex of 60, co-authored 547 publications receiving 13120 citations. Previous affiliations of Kin Keung Lai include City University of Hong Kong & North China Electric Power University.

Papers
More filters
Journal ArticleDOI

Missing Data Preprocessing in Credit Classification: One-Hot Encoding or Imputation?

TL;DR: For high-missing-rate coupled with data-imbalance issue, the proposed one-hot encoding based imputation method shows not only high accuracy, but also great robustness and needs less of computational time.
Book ChapterDOI

Neural network metalearning for credit scoring

TL;DR: The use of supervised neural networks as a metalearning technique to design a credit scoring system to solve the problem of data shortage problem.
Journal ArticleDOI

A neural network application in personnel scheduling

TL;DR: A neural network model following a relatively new modeling approach to solve a real rostering case is introduced and the experiment results comparing the neural network method with three popular heuristics, i.e. simulated annealing, Tabu search and genetic algorithm are provided.
Journal ArticleDOI

Mutual funds performance evaluation based on endogenous benchmarks

TL;DR: The root reasons of inefficiency and ways for improving performance are identified, and the most important conclusion is that the ranking of mutual funds in China depends mostly on system risk control.
Journal ArticleDOI

Channel competition and coordination of a dual-channel supply chain with demand and cost disruptions

TL;DR: In this paper, the impacts of simultaneous disruption of demand and cost on pricing, production and coordination of a dual-channel supply chain with one manufacturer and one retailer are examined, and the impact of such a model on the performance of a single retailer and a single manufacturer is discussed.