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Publications

  1. Chen, P.-Y., Lee, I-C., Lin, K.-Y., Tseng, P.-S., Chen, R.-B. (2026+). Optimal Model Discrimination Designs for Accelerated Life Tests with Type-I Censoring. (Submitted)
  2. Fang, X., Chen, P.-Y., Lei, W., Chen, R.-B., Wong, W. K., Lee, J. J. & Zhou, S. (2026+). A Unified Framework for Finding Multi-stage Optimal Designs with Particle Swarm Optimization. (Under Review)
  3. Chen, P.-Y., Fang, X., Chen, R.-B., Zhou, S., Lee, J. J. & Wong, W. K. (2026). Swarm-Based Search Procedure for Finding Multi-Stage Designs for Phase II Clinical Trials. Journal of Computational and Graphical Statistics, 35(3), 1291-1304*.* (SCIE) [URL]
  4. Wong, W. K., Ryeznik, Y., Sverdlov, O., Chen, P.-Y., Fang, X., Chen, R.-B., Zhou, S., & Lee, J. J. (2025). Nature-inspired Metaheuristics for Optimizing Dose-Finding and Computationally Challenging Clinical Trial Designs. Clinical Trials, 22(4), 422-429. (SCIE) [URL]
  5. Stehlík, M., Chen, P. Y., Wong, W. K., & Kiseľák, J. (2024). 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. Applied Soft Computing, 163, 111913. (SCIE) [URL]
  6. Chen, P. Y., Chen, R. B., & Wong, W. K. (2023). Particle Swarm Optimization for Finding Efficient Longitudinal Exact Designs for Nonlinear Models. The New England Journal of Statistics in Data Science Volume, 1, 299-313. [URL]
  7. Chen, P. Y., Chen, R. B., Chen, Y. S., & Wong, W. K. (2023). Numerical Methods for Finding A-optimal Designs Analytically. Econometrics and Statistics, 28, 155-162. (ESCI) [URL]
  8. Chen, P. Y., Chang, H. M., Chen, Y. T., Tzeng, J. Y., & Chang, S. M. (2022). TensorTest2D: Fitting Generalized Linear Models with Matrix Covariates. R Journal, 14(2). (SCIE) [URL]
  9. Chen, P. Y., Chen, R. B., Li, J. P., & Li, W. (2022). Particle Swarm Exchange Algorithms with Applications in Generating Optimal Model-discrimination Designs. Quality Engineering, 34(3), 305-321. (SCIE) [URL]
  10. Chen, P. Y., Chen, R. B., & Wong, W. K. (2022). Particle Swarm Optimization for Searching Efficient Experimental Designs: A review. Wiley interdisciplinary reviews: computational statistics, 14(5), e1578. (SCIE) [URL]
  11. 朱漢農, 陳秉洋, 郭維軒, 林順傑, 卓明遠 & 楊新全. (2021) 運用人工智慧建模辨識異常用電-以高壓 AMI 為例. 台電工程月刊, 879, 119–127. [URL]
  12. 莊雅筑, 林順傑, 陳芝安, 董泯言 & 陳秉洋. (2021). 基於代理模型之貫序實驗參數最佳化方法於染整業智慧製造應用案例. 中國統計學報, 59(3), 129–144. (CIS, JEL, EconLit) [URL]
  13. 鄭佳鈴, 趙珮妤, 林蔚安 & 陳秉洋. (2021). 應用於製造業之誤差補償模型及動態更新方法. In 2021 Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE. [URL]
  14. Chen, R. B., Chen, P. Y., Hsu, C. L., & Wong, W. K. (2020). Hybrid Algorithms for Generating Optimal Designs for Discriminating Multiple Nonlinear Models under Various Error Distributional Assumptions. PloS one, 15(10), e0239864. (SCIE) [URL]
  15. 朱漢農, 陳秉洋, 郭維軒, 楊新全, 王金墩. (2020). 神經網路模型與高斯混合模型運用於違規用電智能偵測之研究. In 第 17 屆台灣電力電子研討會暨第 41 屆中華民國電力工程研討會 (pp. 1742–1747).
  16. Chen, P. Y., Chen, R. B., & Lin, C. D. (2018). Optimizing Two-level Orthogonal Arrays for Simultaneously Estimating Main Effects and Pre-specified Two-factor Interactions. Computational Statistics & Data Analysis, 118, 84-97. (SCIE) [URL]
  17. 莊雅筑, 葉峻賓, 陳立杰, 陳秉洋, 夏啟峻 & 林順傑. (2019). 可解釋的 AI 系統‒以焦爐氣儲槽液位預測為例, 電工通訊雜誌 (2018 九月號), 69–80. [URL]