28 citations · 35 across the 5 of their papers we have counts for
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hep-ph2021★ 3 cited
Improving heavy Dirac neutrino prospects at future hadron colliders using machine learning
Jie Feng, Mingqiu Li, Qi-Shu Yan +4
In this work, by using the machine learning methods, we study the sensitivities of heavy pseudo-Dirac neutrino in the inverse seesaw at the high-energy hadron colliders. The pr…
hep-ph2021★ 28 cited
Prospects of gravitational waves in the minimal left-right symmetric model
Mingqiu Li, Qi-Shu Yan, Yongchao Zhang +1
The left-right symmetric model (LRSM) is a well-motivated framework to restore parity and implement seesaw mechanisms for the tiny neutrino masses at or above the TeV-scale, and ha…