activity
20182023
most citedMeasurement of D, D, D and D production in Pb-Pb collisions at TeV

109 citations · 238 across the 7 of their papers we have counts for

collaborators

7 papers

hep-ph2023★ 12 cited

Investigating the elliptic anisotropy of identified particles in p--Pb collisions with a multi-phase transport model

Siyu Tang, Liang Zheng, Xiaoming Zhang +1

The elliptic azimuthal anisotropy coefficient () of the identified particles at midrapidity () was investigated in p--Pb collisions at 5.02…

nucl-th2022★ 4 cited

Revisiting the centrality definition and observable centrality dependence of relativistic heavy-ion collisions in PACIAE model

Yu-Liang Yan, Dai-Mei Zhou, An-Ke Lei +6

We improve the centrality definition in impact parameter in PACIAE model responding the fact reported by the ALICE, ATLAS, and CMS collaborations that the maximum impact parameter…

hep-ph2022★ 1 cited

Linear scaling of lepton charge asymmetry in production in ultra-relativistic nuclear collisions

An-Ke Lei, Dai-Mei Zhou, Yu-Liang Yan +7

The lepton charge asymmetry in production in the nuclear collisions at TeV is investigated with a parton and hadron cascade model PACIAE. Recently…

cs.CL2022★ 1 cited

Look Backward and Forward: Self-Knowledge Distillation with Bidirectional Decoder for Neural Machine Translation

Xuanwei Zhang, Libin Shen, Disheng Pan +2

Neural Machine Translation(NMT) models are usually trained via unidirectional decoder which corresponds to optimizing one-step-ahead prediction. However, this kind of unidirectiona…

cs.CL2019★ 6 cited

Curriculum Learning for Domain Adaptation in Neural Machine Translation

Xuan Zhang, Pamela Shapiro, Gaurav Kumar +3

We introduce a curriculum learning approach to adapt generic neural machine translation models to a specific domain. Samples are grouped by their similarities to the domain of inte…

cs.CL2018★ 105 cited

An Empirical Exploration of Curriculum Learning for Neural Machine Translation

Xuan Zhang, Gaurav Kumar, Huda Khayrallah +6

Machine translation systems based on deep neural networks are expensive to train. Curriculum learning aims to address this issue by choosing the order in which samples are presente…

nucl-ex2018★ 109 cited

Measurement of D, D, D and D production in Pb-Pb collisions at TeV

ALICE Collaboration

We report measurements of the production of prompt D, D, D and D mesons in Pb-Pb collisions at the centre-of-mass energy per nucleon-nucleon pair $\sqrt{…