Journal Paper
| Year | Journal | Category |
|---|---|---|
| 2024 | Milan Stehlik/Ping-Yang Chen/Weng Kee Wong/Jozef Kiselak,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 Journal,163,111913 | SCIE |
| 2023 | Ping-Yang Chen/Ray-Bing Chen/Yu-Shi Chen/Weng Kee Wong,Numerical methods for finding A-optimal designs analytically ,Econometrics and Statistics ,28,155-162 | |
| 2023 | Ping-Yang Chen/Ray-Bing Chen/Weng Kee Wong ,Particle swarm optimization for finding efficient longitudinal exact designs for nonlinear models,The New England Journal of Statistics in Data Science,1(3),299-313 | |
| 2022 | Ping-Yang Chen/Ray-Bing Chen/Jui-Pin Li/William Li,Particle swarm exchange algorithms with applications in generating optimal model-discrimination designs ,Quality Engineering,34(3),305-321 | SCIE |
| 2022 | Ping-Yang Chen/Hsing-Ming Chang/Yu-Ting Chen/Jung-Ying Tzeng/Sheng-Mao Chang,TensorTest2D: Fitting generalized linear models with matrix covariates ,R Journal,14(2),152-163 | SCIE |
| 2022 | Ping-Yang Chen/Ray-Bing Chen/Weng Kee Wong,Particle swarm optimization for searching efficient experimental designs: A review ,Wiley Interdisciplinary Reviews: Computational Statistics,,e1578 | SCIE |
| 2021 | 莊雅筑/林順傑/陳芝安/董泯言/陳秉洋,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 | JEL, Econlit, CIS |
| 2020 | Ray-Bing Chen/Ping-Yang Chen/Cheng-Lin Hsu/Weng Kee Wong,Hybrid algorithms for generating optimal designs for discriminating multiple nonlinear models under various error distributional assumptions ,PLoS one,15(10),e02398 | SCIE |
| 2018 | Ping-Yang Chen/Ray-Bing Chen/C. Devon Lin,Optimizing two-level orthogonal arrays for simultaneously estimating main effects and pre-specified two-factor interactions,Computational Statistics & Data Analysis,118,84-97 | SCIE |
| 2017 | Ping-Yang Chen/Ching-Chuan Chen/Chun-Hao Yang/Sheng-Mao Chang/Kuo-JungLee,milr: Multiple-instance logistic regression with lasso penalty,R Journal,9(1),446-457 | SCIE |
| 2017 | Ping-Yang Chen/Ray-Bing Chen/Heng-Chin Tung/Weng Kee Wong,Standardized maximim D-optimal designs for enzyme kinetic inhibition models,Chemometrics and Intelligent Laboratory Systems,169,79-86 | SCIE |
Conference paper
| Year | Title |
|---|---|
| 2021 | 鄭佳鈴/趙珮妤/林蔚安/陳秉洋,應用於製造業之誤差補償模型及動態更新方法,2021 Conference on Technologies and Applications of Artificial Intelligence (TAAI) (Domestic track),臺中,臺灣 |
| 2020 | 朱漢農/陳秉洋/郭維軒/楊新全/王金墩,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,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,臺北,臺灣 |
| 2017 | Ping-Yang Chen/Chi-Chun Hsia/Yen-Hao Su/Ray-Bing Chen/Sheng-Mao Chang,Feedback control for binary response,2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI) (International track),Taipei,Taiwan |
| 2016 | Ray-Bing Chen/Chi-Chun Hsia/Sheng-Mao Chang/Ping-Yang Chen,Adaptive shrinkage for distributed lag models with application in gas supply control,2016 Conference on Technologies and Applications of Artificial Intelligence (TAAI) (Domestic track),Hsinchu,Taiwan |
| 2015 | Ray-Bing Chen/Kuang-Hung Cheng/Sheng-Mao Chang/Shuen-Lin Jeng/Ping-Yang Chen,Multiple-instance logistic regression with lasso penalty ,2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI) (Domestic track),Tainan,Taiwan |
Book
| Year | Book |
|---|---|
| 2015 | Ray-Bing Chen/Ping-Yang Chen/Heng-Chin Tung/Weng Kee Wong,"Exact D-optimal designs for Michaelis-Menton model with correlated observations by particle swarm optimization" in Festschrift in Honor of Hans Nyquist on the Occasion of His 65th Birthday |
Research project
| Unit | Project | Start Date | Role |
|---|---|---|---|
| 財團法人 | 多變量統計數據方法委託研究及驗證 | 2024/11/25 | 主持人 |
| 財團法人 | 多目標人工智慧演算法方法委託研究及驗證 | 2024/11/25 | 主持人 |
| 民間企業 | S05J產品實驗室-點膠製程改良之實驗設計與資料分析方法研究計畫 | 2024/08/01 | 共同主持人 |
| 財團法人 | 偵測異常用電行為數據分析方法 | 2024/02/01 | 主持人 |
Services
| Date | Services | Unit | Role |
|---|---|---|---|
| 2025/03/07 | 演講 | 國立高雄大學統計學研究所 | Efficient Multi-Stage Design Generator for Phase II Clinical Trials Using Swarm Intelligence Optimization Techniques |
| 2025/01/01 | 審查人 | Journal of the Korean Statistical Society (1 assignment) | |
| 2025-01 | 專業顧問 | 財團法人工業技術研究院 | 特約研究 (無給職) |
| 2024/12/14 | 演講 | The Interim Conference of the Asian Regional Section of the International Association for Statistical Computing | Efficient Multi-Stage Design Generator for Phase II Clinical Trials Using Swarm Intelligence Optimization Techniques |
| 2024/12/02 | 演講 | 國立政治大學統計系 | Efficient Multi-Stage Design Generator for Phase II Clinical Trials Using Swarm Intelligence Optimization Techniques |
| 2024/11/04 | 演講 | 國立鳳新高中 | 113學年學群講座 |
| 2024/08/01 | 學會、研討會 | 第34屆南區統計研討會暨2025年中華機率統計學會年會及學術研討會 | 會務委員 |
| 2024/08/01 | 委員會委員 | 統計學系 | 統計學系學生事務委員會 |
| 2024/07/19 | 演講 | The 7th International Conference on Econometrics and Statistics (EcoSta 2024) | Numerical Algorithm-Aided Approaches for Analytically Finding Optimal Designs |
| 2024/06/19 | 演講 | 中央研究院統計科學研究所 | Parameter Optimization in Smart Manufacturing: A Surrogate-Based Sequential Approach with Case Study |
| 2024/05/14 | 校外試務相關委員 | 國立臺北大學統計學系 | 學士班申請入學 |
| 2024/01/01 | 審查人 | Mathematics (1 assignment) | |
| 2024/01/01 | 審查人 | Statistica Sinica (2 assignments) | |
| 2024/01/01 | 審查人 | Computational Toxicology (1 assignment) | |
| 2024/01/01 | 審查人 | Neural Computing and Applications (2 assignments) | |
| 2024/01/01 | 審查人 | Journal of Statistical Computation and Simulation (1 assignment) | |
| 2024/01/01 | 審查人 | Computational Statistics & Data Analysis (2 assignments) | |
| 2024-01 | 專業顧問 | 財團法人工業技術研究院 | 特約研究 (無給職) |
| 2023/12/01 | 演講 | 2023 年統計學術研討會暨清華大學統計所 35 週年學術研討會 | Particle swarm exchange algorithms with applications in generating optimal model-discrimination designs |
| 2022/01/26 | 演講 | 2022 AI & Data Science Workshop | 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 |
| 2021/12/10 | 演講 | 2021 年統計學術研討會暨台、日、韓國際統計學術研討會 | Generating Optimal Discrimination Designs among A Set of Models |
| 2021/10/30 | 演講 | The 30th South Taiwan Statistics Conference | Generating Optimal Discrimination Designs among A Set of Models |
| 2018/12/15 | 演講 | Conference on Experimental Design and Analysis 2018 | Hybrid Algorithms for Generating Optimal Discrimination Designs |
Honor
| Year | Project | Awarder |
|---|