Ray-Bing Chen

According to our database, Ray-Bing Chen authored at least 32 papers between 2007 and 2024.

Collaborative distances:

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

2024

ECOPICA: empirical copula-based independent component analysis.

Hung-Kai Pi, Meihui Guo, Ray-Bing Chen, Shih-Feng Huang

Stat. Comput., February, 2024

2023

Indicator-based Bayesian variable selection for Gaussian process models in computer experiments.

Fan Zhang, Ray-Bing Chen, Ying Hung, Xinwei Deng

Comput. Stat. Data Anal., September, 2023

2022

Variational Bayesian inference for network autoregression models.

Wei-Ting Lai, Ray-Bing Chen, Ying Chen, Thorsten Koch

Comput. Stat. Data Anal., 2022

2020

Finding optimal points for expensive functions using adaptive RBF-based surrogate model via uncertainty quantification.

Ray-Bing Chen, Yuan Wang, C. F. Jeff Wu

J. Glob. Optim., 2020

Huber-type principal expectile component analysis.

Liang-Ching Lin, Ray-Bing Chen, Mong-Na Lo Huang, Meihui Guo

Comput. Stat. Data Anal., 2020

2019

Active learning with simultaneous subject and variable selections.

Yuan-chin Ivan Chang, Ray-Bing Chen

Neurocomputing, 2019

Greedy active learning algorithm for logistic regression models.

Hsiang-Ling Hsu, Yuan-chin Ivan Chang, Ray-Bing Chen

Comput. Stat. Data Anal., 2019

Sparse-Group Independent Component Analysis with application to yield curves prediction.

Ying Chen, Linlin Niu, Ray-Bing Chen, Qiang He

Comput. Stat. Data Anal., 2019

2018

Optimizing two-level orthogonal arrays for simultaneously estimating main effects and pre-specified two-factor interactions.

Ping-Yang Chen, Ray-Bing Chen, C. Devon Lin

Comput. Stat. Data Anal., 2018

2017

Sequential Designs Based on Bayesian Uncertainty Quantification in Sparse Representation Surrogate Modeling.

Ray-Bing Chen, Weichung Wang, C. F. Jeff Wu

Technometrics, 2017

Feedback Control for Binary Response.

Ping-Yang Chen, Chi-Chun Hsia, Yen-Hao Su, Ray-Bing Chen, Sheng-Mao Chang

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 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

Bayesian Variable Selections for Probit Models with Componentwise Gibbs Samplers.

Sheng-Mao Chang, Ray-Bing Chen, Yunchan Chi

Commun. Stat. Simul. Comput., 2016

Bayesian variable selection for finite mixture model of linear regressions.

Kuo-Jung Lee, Ray-Bing Chen, Ying Nian Wu

Comput. Stat. Data Anal., 2016

Particle Swarm Stepwise Algorithm (PaSS) on Multicore Hybrid CPU-GPU Clusters.

Mu Yang, Ray-Bing Chen, I-Hsin Chung, Weichung Wang

Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016

2015

COPICA - independent component analysis via copula techniques.

Ray-Bing Chen, Meihui Guo, Wolfgang K. Härdle, Shih-Feng Huang

Stat. Comput., 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

BSGS: Bayesian Sparse Group Selection.

Kuo-Jung Lee, Ray-Bing Chen

R J., 2015

iWAPT Invited Talks.

Ponnuswamy Sadayappan, Ray-Bing Chen

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 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

Adaptive block size for dense QR factorization in hybrid CPU-GPU systems via statistical modeling.

Ray-Bing Chen, Yaohung M. Tsai, Weichung Wang

Parallel Comput., 2014

Discrete particle swarm optimization for constructing uniform design on irregular regions.

Ray-Bing Chen, Yen-Wen Hsu, Ying Hung, Weichung Wang

Comput. Stat. Data Anal., 2014

TVICA - Time varying independent component analysis and its application to financial data.

Ray-Bing Chen, Ying Chen, Wolfgang K. Härdle

Comput. Stat. Data Anal., 2014

Bayesian Variable Selection for Multi-response Linear Regression.

Wan-Ping Chen, Ying Nian Wu, Ray-Bing Chen

Proceedings of the Technologies and Applications of Artificial Intelligence, 2014

2013

Optimizing Latin hypercube designs by particle swarm.

Ray-Bing Chen, Dai-Ni Hsieh, Ying Hung, Weichung Wang

Stat. Comput., 2013

Screening Procedure for Supersaturated Designs Using a Bayesian Variable Selection Method.

Ray-Bing Chen, Jian-Zhong Weng, Chi-Hsiang Chu

Qual. Reliab. Eng. Int., 2013

Contour estimation via two fidelity computer simulators under limited resources.

Ray-Bing Chen, Ying-Chao Hung, Weichung Wang, Sung-Wei Yen

Comput. Stat., 2013

2012

Tuning Block Size for QR Factorization on CPU-GPU Hybrid Systems.

Yaohung M. Tsai, Weichung Wang, Ray-Bing Chen

Proceedings of the IEEE 6th International Symposium on Embedded Multicore/Manycore SoCs, 2012

2011

Stochastic matching pursuit for Bayesian variable selection.

Ray-Bing Chen, Chi-Hsiang Chu, Te-You Lai, Ying Nian Wu

Stat. Comput., 2011

Using adaptive multi-accurate function evaluations in a surrogate-assisted method for computer experiments.

Weichung Wang, Ray-Bing Chen, Chia-Lung Hsu

J. Comput. Appl. Math., 2011

2010

Exact D-optimal designs for a second-order response surface model on a circle with qualitative factors.

Mong-Na Lo Huang, Chuan-Pin Lee, Ray-Bing Chen, Thomas Klein

Comput. Stat. Data Anal., 2010

2007

A null space method for over-complete blind source separation.

Ray-Bing Chen, Ying Nian Wu

Comput. Stat. Data Anal., 2007