Lab Members

Research Assistants

1. Academia Sinica

• 謝念庭 (Chloe Hsieh), 2023/09 ~ Present

• 彭莉華 (Li-Hua Peng), 2023/01 ~ Present

• 花聖展 (Sheng-Zhan Hua), 2023/01 ~ Present

• 吳炳璋, 2023/10 ~ 2024/02, ASE

• 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, Macronix

2. National Central University

• 李易昀, 2020/07 ~ 2021/05, TSMC

• 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

1. Graduation Year: 2019

• 魏郁錡 (TSMC)：Optimal Multi-platform Designs Based on Two Statistical Approaches

• 吳姿蓉 (TSMC)：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

2. Graduation Year: 2020

• 游韋翔 (Macronix)：Unreplicated Designs for Random Noise Exploration

• 徐永霖 (TSMC)：Predictive Subdata Selection for Gaussian Process Modeling

• 林冠瑤 (TSMC)：Study on the Prediction Capability of Two Aliasing Indices for Gaussian Random Fields

• 陳玟潔 (WIN)：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

3. Graduation Year: 2021

• 陳志剛 (TSMC)：Data Reduction for Subsample in Gaussian Process

• 吳炳璋 (ASE)：Gaussian Process Modeling with Weighted Additive Kernels

• 陳玟秀 (Macronix)：Optimal Designs on Undirected Network Structures for Network-Based Models

  • 獲中國統計學社110年論文獎佳作

4. Graduation Year: 2022

• 藺禹筑 (TSMC)：A Compression-Based Partitioning Estimate Classifier (co-advised with Dr. Chun-Shu Chen)

• 黃雅若 (PHISON)：Bayesian Optimization for Hyperparameter Tuning with Robust Parameter Design (co-advised with Dr. Tsai-Hung Fan)

• 黃文杰 (Macronix)：On the Study of Feedforward Neural Networks: an Experimental Design Approach (co-advised with Dr. Li-Hsien Sun)