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2020 – today
- 2024
[j30]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: 111913 (2024)- [j29]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) - [j28]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): 156 (2024) - [i5]Sisi Shao, Junhyung Park, Weng Kee Wong:
Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression. CoRR abs/2405.12386 (2024) - 2023
- [j27]Weng Kee Wong, Julie Zhou:
Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives. J. Comput. Graph. Stat. 32(2): 744-753 (2023) - [j26]Alan R. Vazquez, Weng Kee Wong, Peter Goos:
Constructing two-level QB-optimal screening designs using mixed-integer programming and heuristic algorithms. Stat. Comput. 33(1): 7 (2023) - [i4]Elvis Han Cui, Bingbin Li, Yanan Li, Weng Kee Wong, Donghui Wang:
Trajectory-aware Principal Manifold Framework for Data Augmentation and Image Generation. CoRR abs/2310.07801 (2023) - 2022
- [j25]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): 3927-3934 (2022) - [j24]Seongho Kim, Weng Kee Wong:
Spatial two-stage designs for phase II clinical trials. Comput. Stat. Data Anal. 169: 107420 (2022) - [j23]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): 20-45 (2022) - [j22]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): 8947 (2022) - [j21]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): 1463-1480 (2022) - 2021
- [j20]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): 13549-13565 (2021) - [i3]Elvis Han Cui, Dongyuan Song, Weng Kee Wong:
Particle swarm optimization in constrained maximum likelihood estimation a case study. CoRR abs/2104.10041 (2021) - [i2]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 abs/2111.14623 (2021) - [i1]Bingbin Li, Elvis Han Cui, Yanan Li, Donghui Wang, Weng Kee Wong:
Dual Path Structural Contrastive Embeddings for Learning Novel Objects. CoRR abs/2112.12359 (2021) - 2020
- [j19]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: 106844 (2020) - [j18]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): 219-233 (2020) - [j17]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): 93-112 (2020)
2010 – 2019
- 2019
- [j16]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: 7133-7146 (2019) - [j15]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) - [j14]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): 725-738 (2019) - [j13]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): 77-87 (2019) - 2018
- [j12]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: 99-117 (2018) - [j11]Xin Liu, Rong-Xian Yue, Weng Kee Wong:
D-optimal design for the heteroscedastic Berman model on an arc. J. Multivar. Anal. 168: 131-141 (2018) - [j10]Belmiro P. M. Duarte, Weng Kee Wong, Holger Dette:
Adaptive grid semidefinite programming for finding optimal designs. Stat. Comput. 28(2): 441-460 (2018) - 2017
- [j9]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: 330-345 (2017) - 2016
- [j8]Frederick Kin Hing Phoa, Ray-Bing Chen, Weichung Wang, Weng Kee Wong:
Optimizing Two-Level Supersaturated Designs Using Swarm Intelligence Techniques. Technometrics 58(1): 43-49 (2016) - 2015
- [j7]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: 11-24 (2015) - [j6]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): 975-988 (2015) - 2014
- [j5]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): 869-889 (2014) - [j4]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): 1063-1080 (2014) - [j3]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: 1-10 (2014) - 2013
- [j2]Weng Kee Wong:
Web-based tools for finding optimal designs in biomedical studies. Comput. Methods Programs Biomed. 111(3): 701-710 (2013) - [j1]Hsiu-Wen Chen, Hongquan Xu, Weng Kee Wong:
Balancing Location and Dispersion Effects for Multiple Responses. Qual. Reliab. Eng. Int. 29(4): 607-615 (2013)
Coauthor Index
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last updated on 2024-09-02 01:01 CEST by the dblp team
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