2.3k citations · 3.4k across the 20 of their papers we have counts for
20 papers
Improving the measurement of the Higgs boson-gluon coupling using convolutional neural networks at colliders
Gexing Li, Zhao Li, Yan Wang +1
In this paper we propose to use convolutional neural networks (CNNs) to improve the precision measurement of the Higgs boson-gluon effective coupling at lepton colliders. The CNN i…
Probing the Higgs boson-gluon coupling via the jet energy profile at colliders
Gexing Li, Zhao Li, Yandong Liu +2
The effective coupling of the Higgs boson to a gluon pair is one of the most important parameters to test the Standard Model and search for the new physics beyond. In this paper, w…
Mixed QCD-EW corrections for Higgs boson production at colliders
Yinqiang Gong, Zhao Li, Xiaofeng Xu +2
Since the discovery of the Higgs boson at the Large Hadron Collider, a future electron-position collider has been proposed for precisely studying its properties. We investigate the…
Discovery potential of Higgs boson pair production through 4+ final states at a 100 TeV collider
Xiaoran Zhao, Qiang Li, Zhao Li +1
We explore the discovery potential of Higgs pair production at a 100 TeV collider via full leptonic mode. The same mode can be explored at the LHC when Higgs pair production is enh…
Probe Higgs boson pair production via the + missing mode
Qiang Li, Zhao Li, Qi-Shu Yan +1
We perform a detailed hadron-level study on the sensitivity of Higgs boson pair production via the channel with the final state + missing at the L…
Discriminating Higgs production mechanisms using jet energy profiles
Vikram Rentala, Natascia Vignaroli, Hsiang-nan Li +2
We present a new tool for precision measurements of the Higgs boson production mechanisms at the LHC. We study events with a Higgs boson produced with two forward jets. Even with f…