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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic.
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

Spatial two-stage designs for phase II clinical trials.
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

Dual Path Structural Contrastive Embeddings for Learning Novel Objects.
CoRR, 2021

Particle swarm optimization in constrained maximum likelihood estimation a case study.
CoRR, 2021

2020
Optimal exact designs of experiments via Mixed Integer Nonlinear Programming.
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
Adaptive grid semidefinite programming for finding optimal designs.
Stat. Comput., 2018

D-optimal design for the heteroscedastic Berman model on an arc.
J. Multivar. Anal., 2018

An algorithm based on semidefinite programming for finding minimax optimal designs.
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
Optimizing Two-Level Supersaturated Designs Using Swarm Intelligence Techniques.
Technometrics, 2016

2015
Minimax optimal designs via particle swarm optimization methods.
Stat. Comput., 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
Balancing Location and Dispersion Effects for Multiple Responses.
Qual. Reliab. Eng. Int., 2013

Web-based tools for finding optimal designs in biomedical studies.
Comput. Methods Programs Biomed., 2013


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