26 citations · 48 across the 6 of their papers we have counts for
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hep-ph2025
Identification of flavor-changing neutral current interactions using machine learning techniques
Byeonghak Ko, Jeewon Heo, Woojin Jang +4
Flavor-changing neutral currents (FCNCs) are forbidden at tree level in the Standard Model (SM), but they can be enhanced in physics Beyond the Standard Model (BSM) scenarios.In th…
hep-ph2025
Improving the Direct Determination of using Deep Learning
Jeewon Heo, Woojin Jang, Jason Sang Hun Lee +3
An -jet tagging approach to determine the Cabibbo-Kobayashi-Maskawa matrix component directly in the dileptonic final state events of the top pair production in proto…
hep-ph2020★ 16 cited
Quark Gluon Jet Discrimination with Weakly Supervised Learning
Jason Sang Hun Lee, Sang Man Lee, Yunjae Lee +3
Deep learning techniques are currently being investigated for high energy physics experiments, to tackle a wide range of problems, with quark and gluon discrimination becoming a be…