Weng Kee Wong

39 papers Journal 39
YearRankTypeTitle / Venue / Authors
2026 J jnl
Differential evolution variants for searching D- and A-optimal designs for nonlinear models in the bioscience.
Stat. Comput.
Lyuyang Tong, Weng Kee Wong
2025 J jnl
Optimal Subdata Selection for Prediction Based on the Distribution of the Covariates.
IEEE Trans. Big Data
Alvaro Cia-Mina, Jesús López-Fidalgo, Weng Kee Wong
2024 J jnl
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.
Milan Stehlík, Ping-Yang Chen, Weng Kee Wong, Jozef Kiselák
2024 J jnl
An Efficient Way to Find Optimal Crossover Designs Using CVX for Precision Medicine: Optimal Crossover Designs via CVX.
J. Data Sci. Stat. Vis.
Yin Li, Weng Kee Wong, Hua Zhou, Keumhee Chough Carriere
2024 J jnl
Metaheuristic Solutions to Order-of-Addition Design Problems.
J. Comput. Graph. Stat.
Zack Stokes, Weng Kee Wong, Hongquan Xu
2024 J jnl
Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents.
Stat. Comput.
Elvis Han Cui, Zizhao Zhang, Weng Kee Wong
2024 J jnl
Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression.
CoRR
Sisi Shao, Junhyung Park, Weng Kee Wong
2024 J jnl
What is Metaheuristics? A Primer for the Epidemiologists.
CoRR
Elvis Han Cui, Haowen Xu, Weng Kee Wong
2023 J jnl
Constructing two-level Q
Stat. Comput.
Alan R. Vazquez, Weng Kee Wong, Peter Goos
2023 J jnl
Trajectory-aware Principal Manifold Framework for Data Augmentation and Image Generation.
CoRR
Elvis Han Cui, Bingbin Li, Yanan Li, Weng Kee Wong, Donghui Wang
2023 J jnl
Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives.
J. Comput. Graph. Stat.
Weng Kee Wong, Julie Zhou
2022 J jnl
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic.
IEEE Trans. Big Data
Zhe Fei, Yevgen Ryeznik, Oleksandr Sverdlov, Chee-Wei Tan, Weng Kee Wong
2022 J jnl
Correction: G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm.
Soft Comput.
Xin Liu, Rong-Xian Yue, Zizhao Zhang, Weng Kee Wong
2022 J jnl
ICAOD: An R Package for Finding Optimal designs for Nonlinear Statistical Models by Imperialist Competitive Algorithm.
R J.
Ehsan Masoudi, Heinz Holling, Weng Kee Wong, Seongho Kim
2022 J jnl
Single-cell generalized trend model (scGTM): a flexible and interpretable model of gene expression trend along cell pseudotime.
Bioinform.
Elvis Han Cui, Dongyuan Song, Weng Kee Wong, Jingyi Jessica Li
2022 J jnl
Spatial two-stage designs for phase II clinical trials.
Comput. Stat. Data Anal.
Seongho Kim, Weng Kee Wong
2021 J jnl
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic.
CoRR
Zhe Fei, Yevgen Ryeznik, Oleksandr Sverdlov, Chee-Wei Tan, Weng Kee Wong
2021 J jnl
Dual Path Structural Contrastive Embeddings for Learning Novel Objects.
CoRR
Bingbin Li, Elvis Han Cui, Yanan Li, Donghui Wang, Weng Kee Wong
2021 J jnl
G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm.
Soft Comput.
Xin Liu, Rong-Xian Yue, Zizhao Zhang, Weng Kee Wong
2021 J jnl
Particle swarm optimization in constrained maximum likelihood estimation a case study.
CoRR
Elvis Han Cui, Dongyuan Song, Weng Kee Wong
2020 J jnl
A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs.
Comput. Stat. Data Anal.
Ricardo García-Ródenas, José Carlos García-García, Jesús López-Fidalgo, Jose Angel Martin-Baos, Weng Kee Wong
2020 J jnl
Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors.
Memetic Comput.
Zizhao Zhang, Weng Kee Wong, Kay Chen Tan
2020 J jnl
Optimal exact designs of experiments via Mixed Integer Nonlinear Programming.
Stat. Comput.
Belmiro P. M. Duarte, José F. O. Granjo, Weng Kee Wong
2019 J jnl
Finding High-Dimensional D-Optimal Designs for Logistic Models via Differential Evolution.
IEEE Access
Weinan Xu, Weng Kee Wong, Kay Chen Tan, Jianxin Xu
2019 J jnl
Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approach.
Artif. Intell. Medicine
Yu Shi, Weng Kee Wong, Jonathan G. Goldin, Matthew S. Brown, Hyun J. Grace Kim
2019 J jnl
T-optimal designs for multi-factor polynomial regression models via a semidefinite relaxation method.
Stat. Comput.
Yuguang Yue, Lieven Vandenberghe, Weng Kee Wong
2019 J jnl
d-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding D-Optimal Designs With Discrete and Continuous Factors and a Binary Response.
Technometrics
Joshua Lukemire, Abhyuday Mandal, Weng Kee Wong
2018 J jnl
Adaptive grid semidefinite programming for finding optimal designs.
Stat. Comput.
Belmiro P. M. Duarte, Weng Kee Wong, Holger Dette
2018 J jnl
An algorithm based on semidefinite programming for finding minimax optimal designs.
Comput. Stat. Data Anal.
Belmiro P. M. Duarte, Guillaume Sagnol, Weng Kee Wong
2018 J jnl
D-optimal design for the heteroscedastic Berman model on an arc.
J. Multivar. Anal.
Xin Liu, Rong-Xian Yue, Weng Kee Wong
2017 J jnl
Application of imperialist competitive algorithm to find minimax and standardized maximin optimal designs.
Comput. Stat. Data Anal.
Ehsan Masoudi, Heinz Holling, Weng Kee Wong
2016 J jnl
Optimizing Two-Level Supersaturated Designs Using Swarm Intelligence Techniques.
Technometrics
Frederick Kin Hing Phoa, Ray-Bing Chen, Weichung Wang, Weng Kee Wong
2015 J jnl
A Semi-Infinite Programming based algorithm for determining T-optimum designs for model discrimination.
J. Multivar. Anal.
Belmiro P. M. Duarte, Weng Kee Wong, Anthony C. Atkinson
2015 J jnl
Minimax optimal designs via particle swarm optimization methods.
Stat. Comput.
Ray-Bing Chen, Shin-Perng Chang, Weichung Wang, Heng-Chih Tung, Weng Kee Wong
2014 J jnl
A semi-infinite programming based algorithm for finding minimax optimal designs for nonlinear models.
Stat. Comput.
Belmiro P. M. Duarte, Weng Kee Wong
2014 J jnl
Confidence intervals for ratio of two Poisson rates using the method of variance estimates recovery.
Comput. Stat.
Hui-Qiong Li, Man-Lai Tang, Weng Kee Wong
2014 J jnl
Using animal instincts to design efficient biomedical studies via particle swarm optimization.
Swarm Evol. Comput.
Jiaheng Qiu, Ray-Bing Chen, Weichung Wang, Weng Kee Wong
2013 J jnl
Balancing Location and Dispersion Effects for Multiple Responses.
Qual. Reliab. Eng. Int.
Hsiu-Wen Chen, Hongquan Xu, Weng Kee Wong
2013 J jnl
Web-based tools for finding optimal designs in biomedical studies.
Comput. Methods Programs Biomed.
Weng Kee Wong