Weng Kee Wong

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 29

Top Topics

Finding Optimal

Top Venues

Comput. Stat. Data Anal.

J. Multivar. Anal.

Publications

Elvis Han Cui, Zizhao Zhang, Weng Kee Wong
Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents. Stat. Comput. 34 (5) (2024)
Milan Stehlík, Ping-Yang Chen, Weng Kee Wong, Jozef Kiselák
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. 163 (2024)
Sisi Shao, Junhyung Park, Weng Kee Wong
Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression. CoRR (2024)
Yin Li, Weng Kee Wong, Hua Zhou, Keumhee Chough Carriere
An Efficient Way to Find Optimal Crossover Designs Using CVX for Precision Medicine: Optimal Crossover Designs via CVX. J. Data Sci. Stat. Vis. 4 (3) (2024)
Elvis Han Cui, Zizhao Zhang, Culsome Junwen Chen, Weng Kee Wong
Metaheuristic Algorithms in Artificial Intelligence with Applications to Bioinformatics, Biostatistics, Ecology and, the Manufacturing Industries. CoRR (2023)
Elvis Han Cui, Bingbin Li, Yanan Li, Weng Kee Wong, Donghui Wang
Trajectory-aware Principal Manifold Framework for Data Augmentation and Image Generation. CoRR (2023)
Alan R. Vazquez, Weng Kee Wong, Peter Goos
-optimal screening designs using mixed-integer programming and heuristic algorithms. Stat. Comput. 33 (1) (2023)
Weng Kee Wong, Julie Zhou
Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives. J. Comput. Graph. Stat. 32 (2) (2023)
Xin Liu, Rong-Xian Yue, Zizhao Zhang, Weng Kee Wong
Correction: G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm. Soft Comput. 26 (17) (2022)
Ehsan Masoudi, Heinz Holling, Weng Kee Wong, Seongho Kim
ICAOD: An R Package for Finding Optimal designs for Nonlinear Statistical Models by Imperialist Competitive Algorithm. R J. 14 (3) (2022)
Zhe Fei, Yevgen Ryeznik, Oleksandr Sverdlov, Chee-Wei Tan, Weng Kee Wong
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic. IEEE Trans. Big Data 8 (6) (2022)
Seongho Kim, Weng Kee Wong
Spatial two-stage designs for phase II clinical trials. Comput. Stat. Data Anal. 169 (2022)
Elvis Han Cui, Dongyuan Song, Weng Kee Wong, Jingyi Jessica Li
Single-cell generalized trend model (scGTM): a flexible and interpretable model of gene expression trend along cell pseudotime. Bioinform. 38 (16) (2022)
Elvis Cui, Dongyuan Song, Weng Kee Wong
Particle swarm optimization in constrained maximum likelihood estimation a case study. CoRR (2021)
Bingbin Li, Elvis Han Cui, Yanan Li, Donghui Wang, Weng Kee Wong
Dual Path Structural Contrastive Embeddings for Learning Novel Objects. CoRR (2021)
Xin Liu, Rong-Xian Yue, Zizhao Zhang, Weng Kee Wong
G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm. Soft Comput. 25 (21) (2021)
Zhe Fei, Yevgen Ryeznik, Oleksandr Sverdlov, Chee-Wei Tan, Weng Kee Wong
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic. CoRR (2021)
Zizhao Zhang, Weng Kee Wong, Kay Chen Tan
Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors. Memetic Comput. 12 (3) (2020)
Ricardo García-Ródenas, José Carlos García-García, Jesús López-Fidalgo, Jose Angel Martin-Baos, Weng Kee Wong
A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs. Comput. Stat. Data Anal. 144 (2020)
Belmiro P. M. Duarte, José F. O. Granjo, Weng Kee Wong
Optimal exact designs of experiments via Mixed Integer Nonlinear Programming. Stat. Comput. 30 (1) (2020)
Yu Shi, Weng Kee Wong, Jonathan G. Goldin, Matthew S. Brown, Hyun J. Grace Kim
Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approach. Artif. Intell. Medicine 100 (2019)
Joshua Lukemire, Abhyuday Mandal, Weng Kee Wong
d-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding D-Optimal Designs With Discrete and Continuous Factors and a Binary Response. Technometrics 61 (1) (2019)
Yuguang Yue, Lieven Vandenberghe, Weng Kee Wong
T-optimal designs for multi-factor polynomial regression models via a semidefinite relaxation method. Stat. Comput. 29 (4) (2019)
Weinan Xu, Weng Kee Wong, Kay Chen Tan, Jianxin Xu
Finding High-Dimensional D-Optimal Designs for Logistic Models via Differential Evolution. IEEE Access 7 (2019)
Belmiro P. M. Duarte, Guillaume Sagnol, Weng Kee Wong
An algorithm based on semidefinite programming for finding minimax optimal designs. Comput. Stat. Data Anal. 119 (2018)
Xin Liu, Rong-Xian Yue, Weng Kee Wong
D-optimal design for the heteroscedastic Berman model on an arc. J. Multivar. Anal. 168 (2018)
Belmiro P. M. Duarte, Weng Kee Wong, Holger Dette
Adaptive grid semidefinite programming for finding optimal designs. Stat. Comput. 28 (2) (2018)
Ehsan Masoudi, Heinz Holling, Weng Kee Wong
Application of imperialist competitive algorithm to find minimax and standardized maximin optimal designs. Comput. Stat. Data Anal. 113 (2017)
Frederick Kin Hing Phoa, Ray-Bing Chen, Weichung Wang, Weng Kee Wong
Optimizing Two-Level Supersaturated Designs Using Swarm Intelligence Techniques. Technometrics 58 (1) (2016)
Ray-Bing Chen, Shin-Perng Chang, Weichung Wang, Heng-Chih Tung, Weng Kee Wong
Minimax optimal designs via particle swarm optimization methods. Stat. Comput. 25 (5) (2015)
Belmiro P. M. Duarte, Weng Kee Wong, Anthony C. Atkinson
A Semi-Infinite Programming based algorithm for determining T-optimum designs for model discrimination. J. Multivar. Anal. 135 (2015)
Belmiro P. M. Duarte, Weng Kee Wong
A semi-infinite programming based algorithm for finding minimax optimal designs for nonlinear models. Stat. Comput. 24 (6) (2014)
Hui-Qiong Li, Man-Lai Tang, Weng Kee Wong
Confidence intervals for ratio of two Poisson rates using the method of variance estimates recovery. Comput. Stat. 29 (3) (2014)
Jiaheng Qiu, Ray-Bing Chen, Weichung Wang, Weng Kee Wong
Using animal instincts to design efficient biomedical studies via particle swarm optimization. Swarm Evol. Comput. 18 (2014)
Weng Kee Wong
Web-based tools for finding optimal designs in biomedical studies. Comput. Methods Programs Biomed. 111 (3) (2013)
Hsiu-Wen Chen, Hongquan Xu, Weng Kee Wong
Balancing Location and Dispersion Effects for Multiple Responses. Qual. Reliab. Eng. Int. 29 (4) (2013)