Weng Kee Wong

According to our database, Weng Kee Wong authored at least 30 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives.

Weng Kee Wong, Julie Zhou

J. Comput. Graph. Stat., April, 2023

Constructing two-level Q_B-optimal screening designs using mixed-integer programming and heuristic algorithms.

Alan R. Vazquez, Weng Kee Wong, Peter Goos

Stat. Comput., 2023

Trajectory-aware Principal Manifold Framework for Data Augmentation and Image Generation.

Elvis Han Cui, Bingbin Li, Yanan Li, Weng Kee Wong, Donghui Wang

CoRR, 2023

2022

ICAOD: An R Package for Finding Optimal designs for Nonlinear Statistical Models by Imperialist Competitive Algorithm.

Ehsan Masoudi, Heinz Holling, Weng Kee Wong, Seongho Kim

R J., December, 2022

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

Zhe Fei, Yevgen Ryeznik, Oleksandr Sverdlov, Chee-Wei Tan, Weng Kee Wong

IEEE Trans. Big Data, 2022

Correction: G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm.

Xin Liu, Rong-Xian Yue, Zizhao Zhang, Weng Kee Wong

Soft Comput., 2022

Spatial two-stage designs for phase II clinical trials.

Seongho Kim, Weng Kee Wong

Comput. Stat. Data Anal., 2022

Single-cell generalized trend model (scGTM): a flexible and interpretable model of gene expression trend along cell pseudotime.

Elvis Han Cui, Dongyuan Song, Weng Kee Wong, Jingyi Jessica Li

Bioinform., 2022

2021

G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm.

Xin Liu, Rong-Xian Yue, Zizhao Zhang, Weng Kee Wong

Soft Comput., 2021

Dual Path Structural Contrastive Embeddings for Learning Novel Objects.

Bingbin Li, Elvis Han Cui, Yanan Li, Donghui Wang, Weng Kee Wong

CoRR, 2021

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

Elvis Cui, Dongyuan Song, Weng Kee Wong

CoRR, 2021

2020

Optimal exact designs of experiments via Mixed Integer Nonlinear Programming.

Belmiro P. M. Duarte, José F. O. Granjo, Weng Kee Wong

Stat. Comput., 2020

Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors.

Zizhao Zhang, Weng Kee Wong, Kay Chen Tan

Memetic Comput., 2020

A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs.

Ricardo García-Ródenas, José Carlos García-García, Jesús López-Fidalgo, Jose Angel Martin-Baos, Weng Kee Wong

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.

Joshua Lukemire, Abhyuday Mandal, Weng Kee Wong

Technometrics, 2019

T-optimal designs for multi-factor polynomial regression models via a semidefinite relaxation method.

Yuguang Yue, Lieven Vandenberghe, Weng Kee Wong

Stat. Comput., 2019

Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approach.

Yu Shi, Weng Kee Wong, Jonathan G. Goldin, Matthew S. Brown, Hyun J. Grace Kim

Artif. Intell. Medicine, 2019

Finding High-Dimensional D-Optimal Designs for Logistic Models via Differential Evolution.

Weinan Xu, Weng Kee Wong, Kay Chen Tan, Jianxin Xu

IEEE Access, 2019

2018

Adaptive grid semidefinite programming for finding optimal designs.

Belmiro P. M. Duarte, Weng Kee Wong, Holger Dette

Stat. Comput., 2018

D-optimal design for the heteroscedastic Berman model on an arc.

Xin Liu, Rong-Xian Yue, Weng Kee Wong

J. Multivar. Anal., 2018

An algorithm based on semidefinite programming for finding minimax optimal designs.

Belmiro P. M. Duarte, Guillaume Sagnol, Weng Kee Wong

Comput. Stat. Data Anal., 2018

2017

Application of imperialist competitive algorithm to find minimax and standardized maximin optimal designs.

Ehsan Masoudi, Heinz Holling, Weng Kee Wong

Comput. Stat. Data Anal., 2017

2016

Optimizing Two-Level Supersaturated Designs Using Swarm Intelligence Techniques.

Frederick Kin Hing Phoa, Ray-Bing Chen, Weichung Wang, Weng Kee Wong

Technometrics, 2016

2015

Minimax optimal designs via particle swarm optimization methods.

Ray-Bing Chen, Shin-Perng Chang, Weichung Wang, Heng-Chih Tung, Weng Kee Wong

Stat. Comput., 2015

A Semi-Infinite Programming based algorithm for determining T-optimum designs for model discrimination.

Belmiro P. M. Duarte, Weng Kee Wong, Anthony C. Atkinson

J. Multivar. Anal., 2015

2014

Using animal instincts to design efficient biomedical studies via particle swarm optimization.

Jiaheng Qiu, Ray-Bing Chen, Weichung Wang, Weng Kee Wong

Swarm Evol. Comput., 2014

A semi-infinite programming based algorithm for finding minimax optimal designs for nonlinear models.

Belmiro P. M. Duarte, Weng Kee Wong

Stat. Comput., 2014

Confidence intervals for ratio of two Poisson rates using the method of variance estimates recovery.

Hui-Qiong Li, Man-Lai Tang, Weng Kee Wong

Comput. Stat., 2014

2013

Balancing Location and Dispersion Effects for Multiple Responses.

Hsiu-Wen Chen, Hongquan Xu, Weng Kee Wong

Qual. Reliab. Eng. Int., 2013

Web-based tools for finding optimal designs in biomedical studies.

Weng Kee Wong

Comput. Methods Programs Biomed., 2013