Research Assistants
Academia Sinica
周芷妤 (Zhi-Yu Jou), 2026/02 ~ Present
陳琮文 (Tsung-Wen Chen), 2025/09 ~ Present (author of R package: SSS)
陳俊宇 (Jyun-Yu Chen), 2025/07 ~ Present
張子萱 (Tzu-Hsuan Chang), 2025/05 ~ 2026/02
張致語 (Chih-Yu Chang), 2025/01 ~ 2025/08, Ph.D. student at Imperial College London (jointly authored the paper Chang and Chang (2026); Code)
花聖展 (Sheng-Zhan Hua), 2023/01 ~ 2025/08, Ph.D. student at UCLA (jointly authored the paper Chang, Hua, and Wu (2026); author of R package: GEMSS)
彭莉華 (Li-Hua Peng), 2023/01 ~ 2025/07, M.S. student at Rutgers University
謝念庭 (Chloe Hsieh), 2023/09 ~ 2024/08, M.S. student at UCLA
吳炳璋, 2023/10 ~ 2024/02
張致語 (Chih-Yu Chang), 2023/06 ~ 2023/08, M.S. student at Department of Statistics, University of Michigan
余維洋 (Wei-Yang Yu), 2022/02 ~ 2023/07, Ph.D. student at ISyE, Georgia Tech
江怡婷, 2022/04 ~ 2023/03
陳玟秀, 2021/08 ~ 2022/03
National Central University
李易昀, 2020/07 ~ 2021/05
江欣霓, 2020/07 ~ 2021/01
李協諭, 2020/04 ~ 2021/01
Supervised Master Students
National Tsing Hua University
張致維 (2024):Application of Deep Learning in Space-filling Design Construction (co-advised with Dr. Cheng-Yu Sun)
National Taiwan University
郭晉良 (2024):Nonparametric Regression Using Partitioning Methods
National Central University
Graduation Year: 2019
魏郁錡:Optimal Multi-platform Designs Based on Two Statistical Approaches
吳姿蓉:Subdata Selection: A- and I-optimalities
李協諭:On the Construction of Multi-Stratum Factorial Designs
獲中國統計學社108年論文獎佳作
Graduation Year: 2020
游韋翔:Unreplicated Designs for Random Noise Exploration
徐永霖:Predictive Subdata Selection for Gaussian Process Modeling
林冠瑤:Study on the Prediction Capability of Two Aliasing Indices for Gaussian Random Fields
陳玟潔:Optimal Designs for Simple Directed/Weighted Network Structures
獲第三屆全國碩士生統計研究成果研討會海報論文競賽特優獎
獲中國統計學社109年論文獎佳作
Graduation Year: 2021
陳志剛:Data Reduction for Subsample in Gaussian Process
吳炳璋:Gaussian Process Modeling with Weighted Additive Kernels
陳玟秀:Optimal Designs on Undirected Network Structures for Network-Based Models
獲中國統計學社110年論文獎佳作
Graduation Year: 2022
藺禹筑:A Compression-Based Partitioning Estimate Classifier (co-advised with Dr. Chun-Shu Chen)
黃雅若:Bayesian Optimization for Hyperparameter Tuning with Robust Parameter Design (co-advised with Dr. Tsai-Hung Fan)
黃文杰:On the Study of Feedforward Neural Networks: an Experimental Design Approach (co-advised with Dr. Li-Hsien Sun)