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Yang Gao

Researcher at University of Surrey

Publications -  2109
Citations -  158938

Yang Gao is an academic researcher from University of Surrey. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 168, co-authored 2047 publications receiving 146301 citations. Previous affiliations of Yang Gao include China Agricultural University & University of Kassel.

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Search for a standard-model-like Higgs boson with a mass in the range 145 to 1000 GeV at the LHC

S. Chatrchyan, +3897 more
TL;DR: In this article, a search for a standard-model-like Higgs boson in the H→WW and H→ZZ decay channels is reported, based upon proton-proton collision data samples corresponding to an integrated luminosity of up to 5.1 fb−1 at s√=7 TeV.
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Search for heavy Majorana or Dirac neutrinos and right-handed W gauge bosons in final states with two charged leptons and two jets at s√=13 TeV with the ATLAS detector

Morad Aaboud, +2986 more
TL;DR: In this paper, a search for heavy right-handed Majorana or Dirac neutrinos and heavy gauge bosons was performed in events with a pair of energetic electrons or muons, with the same or opposite conditions.
Journal ArticleDOI

Angular analysis and branching fraction measurement of the decay B0→K⁎0μ+μ−

S. Chatrchyan, +2198 more
- 25 Nov 2013 - 
TL;DR: In this article, the angular distribution and the differential branching fraction of the decay B0 to K*(892)0 mu+ mu- were studied using a data sample corresponding to an integrated luminosity of 5.2 inverse femtobarns collected with the CMS detector at the LHC in pp collisions at sqrt(s) = 7 TeV.
Journal ArticleDOI

Study of jets produced in association with a W boson in pp collisions at root s=7 TeV with the ATLAS detector

Georges Aad, +3049 more
- 02 May 2012 - 
TL;DR: In this article, the authors report a study of final states containing a W boson and hadronic jets, produced in proton-proton collisions at a center-of-mass energy of 7 TeV.
Proceedings ArticleDOI

Fast polygonal integration and its application in extending haar-like features to improve object detection

TL;DR: This work proposes a method that extends the integral image to do fast integration over the interior of any polygon that is not necessarily rectilinear, and applies it to Viola and Jones' object detection framework, in which it is shown that the extended feature set improves object detection's performance.