Weng Kee Wong
Orcid: 0000-0001-5568-3054
According to our database1,
Weng Kee Wong
authored at least 34 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents.
Stat. Comput., October, 2024
An Efficient Way to Find Optimal Crossover Designs Using CVX for Precision Medicine: Optimal Crossover Designs via CVX.
J. Data Sci. Stat. Vis., 2024
Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression.
CoRR, 2024
A Double Exponential Particle Swarm Optimization with non-uniform variates as stochastic tuning and guaranteed convergence to a global optimum with sample applications to finding optimal exact designs in biostatistics.
Appl. Soft Comput., 2024
2023
Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives.
J. Comput. Graph. Stat., April, 2023
Constructing two-level Q<sub>B</sub>-optimal screening designs using mixed-integer programming and heuristic algorithms.
Stat. Comput., 2023
Trajectory-aware Principal Manifold Framework for Data Augmentation and Image Generation.
CoRR, 2023
2022
ICAOD: An R Package for Finding Optimal designs for Nonlinear Statistical Models by Imperialist Competitive Algorithm.
R J., December, 2022
IEEE Trans. Big Data, 2022
Correction: G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm.
Soft Comput., 2022
Comput. Stat. Data Anal., 2022
Single-cell generalized trend model (scGTM): a flexible and interpretable model of gene expression trend along cell pseudotime.
Bioinform., 2022
2021
G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm.
Soft Comput., 2021
Particle swarm optimization in constrained maximum likelihood estimation a case study.
CoRR, 2021
2020
Stat. Comput., 2020
Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors.
Memetic Comput., 2020
A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs.
Comput. Stat. Data Anal., 2020
2019
d-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding D-Optimal Designs With Discrete and Continuous Factors and a Binary Response.
Technometrics, 2019
T-optimal designs for multi-factor polynomial regression models via a semidefinite relaxation method.
Stat. Comput., 2019
Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approach.
Artif. Intell. Medicine, 2019
Finding High-Dimensional D-Optimal Designs for Logistic Models via Differential Evolution.
IEEE Access, 2019
2018
Stat. Comput., 2018
J. Multivar. Anal., 2018
Comput. Stat. Data Anal., 2018
2017
Application of imperialist competitive algorithm to find minimax and standardized maximin optimal designs.
Comput. Stat. Data Anal., 2017
2016
Technometrics, 2016
2015
A Semi-Infinite Programming based algorithm for determining T-optimum designs for model discrimination.
J. Multivar. Anal., 2015
2014
Using animal instincts to design efficient biomedical studies via particle swarm optimization.
Swarm Evol. Comput., 2014
A semi-infinite programming based algorithm for finding minimax optimal designs for nonlinear models.
Stat. Comput., 2014
Confidence intervals for ratio of two Poisson rates using the method of variance estimates recovery.
Comput. Stat., 2014
2013
Qual. Reliab. Eng. Int., 2013
Comput. Methods Programs Biomed., 2013