396 citations · 4.9k across the 152 of their papers we have counts for
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hep-ph2019★ 55 cited
Supervised deep learning in high energy phenomenology: a mini review
Murat Abdughani, Jie Ren, Lei Wu +2
Deep learning, a branch of machine learning, have been recently applied to high energy experimental and phenomenological studies. In this note we give a brief review on those appli…
hep-ph2019★ 59 cited
Unveiling CP property of top-Higgs coupling with graph neural networks at the LHC
Jie Ren, Lei Wu, Jin Min Yang
The top-Higgs coupling plays an important role in particle physics and cosmology. The precision measurements of this coupling can provide an insight to new physics beyond the Stand…