8 citations · 17 across the 3 of their papers we have counts for
3 papers
cond-mat.stat-mech2023★ 3 cited
Self-Supervised Ensemble Learning: A Universal Method for Phase Transition Classification of Many-Body Systems
Chi-Ting Ho, Daw-Wei Wang
We develop a self-supervised ensemble learning (SSEL) method to accurately classify distinct types of phase transitions by analyzing the fluctuation properties of machine learning…
cond-mat.quant-gas2021★ 6 cited
Robust Identification of Topological Phase Transition by Self-Supervised Machine Learning Approach
Chi-Ting Ho, Daw-Wei Wang
We propose a systematic methodology to identify the topological phase transition through a self-supervised machine learning model, which is trained to correlate system parameters t…
astro-ph.SR2020★ 8 cited
Searching for Young Stellar Objects through SEDs by Machine Learning
Yi-Lung Chiu, Chi-Ting Ho, Daw-Wei Wang +1
Accurate measurements of statistical properties, such as the star formation rate and the lifetime of young stellar objects (YSOs) in different stages, is essential for constraining…