Ting-Yun Cheng
0000-0001-8670-4495
Durham University
8 papers found
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OzDES Reverberation Mapping Program: Stacking analysis with Hβ, Mg ii, and C iv
Lessons learned from the two largest Galaxy morphological classification catalogues built by convolutional neural networks
Harvesting the Ly α forest with convolutional neural networks
Galaxy morphological classification catalogue of the Dark Energy Survey Year 3 data with convolutional neural networks
Beyond the hubble sequence – exploring galaxy morphology with unsupervised machine learning
Galaxy Merger Rates up to z ∼ 3 Using a Bayesian Deep Learning Model: A Major-merger Classifier Using IllustrisTNG Simulation Data
Identifying strong lenses with unsupervised machine learning using convolutional autoencoder
Optimizing automatic morphological classification of galaxies with machine learning and deep learning using Dark Energy Survey imaging
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