Tien-En Chang (張天恩)
Tien-En Chang (張天恩)
PhD student in Institue of Industrial Engineering @ National Taiwan University
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I'm Tien-En (Willy), a fourth-year PhD student at National Taiwan University (NTU) in Taipei, Taiwan. I am a member of Statistical and Data Mining Lab, supervised by Prof. Argon Chen.
My main research interest is variable selection method. I started my research from the relative importance analysis and I investigates why Johnson's Relative Weight works so well on approximating General Dominance index / Shapley Value. Currently, I focus on improving the Relative Weight, including building its theoretical foundation and invsetigating potential improvement. I am also interested in the weight initialization method in deep neural network.
Latest News
Latest News
(09.27.2025) Our work, “Anatomically-Focused Patches for Lightweight and Explainable Knee OA Grading,” received the Best Paper Award in MICCAI ShapeMI 2025.
(09.27.2025) Our work, “Anatomically-Focused Patches for Lightweight and Explainable Knee OA Grading,” received the Best Paper Award in MICCAI ShapeMI 2025.
Anatomically-Focused Patches for Lightweight and Explainable Knee OA Grading, MICCAI ShapeMI 2025
Tien-En Chang, Hervé Lombaert
(02.10.2025-06.09.2025) Joined 2025 Polytechnique Montreal Winter Research Internship Program.
(02.10.2025-06.09.2025) Joined 2025 Polytechnique Montreal Winter Research Internship Program.
Research topic: Machine Learning and Interaction with Large-Scale Medical Imaging Datasets.
Under the supervition of Prof. Herve Lombaert in the PolyShape Lab.
Internship Program Report: 蒙特婁理工學院實習心得
Understanding the Orthonormality Transformation based Measures of Relative Importance, DATA 2024.
Tien-En Chang, Argon Chen
(11.25.2023) Celebrating our team's success: Awarded the Outstanding Award at the Intelligent Manufacturing and Big Data Analytics Contest 2023.
(11.25.2023) Celebrating our team's success: Awarded the Outstanding Award at the Intelligent Manufacturing and Big Data Analytics Contest 2023.
The finals of Project B: the image classification problem in the manufacturing.
Team name: 真替你們感到難過; members: Huai-Wei Wang , Zih-An Yi, Tien-En Chang; mentor: Jakey Blue
Using Relative Weight for Variable Importance Assessment - How Does It Work and Could It Work Better?, IASC-ARS 2023.
Tien-En Chang, Argon Chen
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