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Xiaofeng Zhu

Researcher at Tsinghua University

Publications -  1169
Citations -  36166

Xiaofeng Zhu is an academic researcher from Tsinghua University. The author has contributed to research in topics: Branching fraction & Medicine. The author has an hindex of 80, co-authored 1062 publications receiving 28158 citations. Previous affiliations of Xiaofeng Zhu include Case Western Reserve University & Goethe University Frankfurt.

Papers
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Efficient kNN Classification With Different Numbers of Nearest Neighbors

TL;DR: An improvement version of kTree method is proposed, which enables to conduct kNN classification using a subset of the training samples in the leaf nodes rather than all training samples used in the newly kNN methods.
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Observation of a charged charmoniumlike structure in e+ e- → (D* D*)± π∓ at √s = 4.26 GeV.

M. Ablikim, +368 more
TL;DR: In this article, the process e(+)e(-) -> pi(+)pi(-) J/psi at a center-of-mass energy of 4.260 GeV using a 525 pb(-1) data sample collected with the BESIII detector operating at the Beijing Electron Positron Collider was studied.
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Test of lepton universality with B 0 → K *0 ℓ + ℓ − decays

Roel Aaij, +821 more
TL;DR: In this article, a test of lepton universality is performed by measuring the ratio of the branching fractions of the B$0$ → K$*0}$ e$+}$ π$−}$ decays, and the ratio is measured in two regions of the dilepton invariant mass squared.
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Azimuthal charged-particle correlations and possible local strong parity violation

B. I. Abelev, +375 more
TL;DR: In this article, the authors investigate a three-particle azimuthal correlator which is a P even observable, but directly sensitive to the charge separation effect, and report measurements of charged hadrons near center-of-mass rapidity with this observable in Au+Au and Cu+Cu collisions at s(NN)=200 GeV using the STAR detector.
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Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

Cristian Pattaro, +735 more
TL;DR: A meta-analysis of genome-wide association studies for estimated glomerular filtration rate suggests that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.