activity
20022022
most citedNeutrino Masses and the LHC: Testing Type II Seesaw

328 citations · 2.8k across the 50 of their papers we have counts for

collaborators

50 papers

hep-ph2022★ 2 cited

Electroweak corrections to Higgs boson production via W W fusion at the future LHeC

Bowen Wang, Kai Wang, Hanying Xiong

Precision measurement of quark Yukawa couplings is a crucial aspect of Higgs property study. Proposed as a future upgrade of the Large Hadron Collider (LHC), the Large Hadron elect…

hep-ph2019★ 7 cited

Probing the trilinear Higgs boson self-coupling via single Higgs production at the LHeC

Ruibo Li, Xiao-Min Shen, Bo-Wen Wang +2

The determination of the Higgs self coupling is one of the key ingredients for understanding the mechanism behind the electroweak symmetry breaking. An indirect method for constrai…

hep-ph2019★ 2 cited

Photo-production of Higgs Boson at the LHeC

Ruibo Li, Xiang Lv, Bo-Wen Wang +2

As one category of vector boson fusion, photo-production is one important production mechanism at - colliders. A future - collider -- Large Hadron-electron Collider (LH…

hep-ph2019★ 6 cited

Probe Charm Yukawa at the future and colliders

Ruibo Li, Bo-Wen Wang, Kai Wang +2

Large Hadron Collider (LHC) has provided direct evidence of Yukawa couplings between the third generation charged fermions and the 125 GeV Higgs boson. Whether the first two genera…

hep-ph2018★ 12 cited

Searching for the light Higgsinos in MSSM at the future e-p colliders

Chengcheng Han, Ruibo Li, Ren-Qi Pan +1

The search of the light Higgsino {in the Minimal Supersymmetric Standard Model (MSSM)} is a crucial test for the criteria of the naturalness in supersymmetry. On the other hand, th…

hep-ph2017★ 9 cited

Quark jet versus gluon jet: fully-connected neural networks with high-level features

Hui Luo, Ming-xing Luo, Kai Wang +2

Jet identification is one of the fields in high energy physics that machine learning has begun to make an impact. More often than not, convolutional neural networks are used to cla…