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Yi Chen

Researcher at Chinese Academy of Sciences

Publications -  5695
Citations -  344243

Yi Chen is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Large Hadron Collider & Medicine. The author has an hindex of 217, co-authored 4342 publications receiving 293080 citations. Previous affiliations of Yi Chen include Rochester Institute of Technology & National Institutes of Health.

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Measurements of the W production cross sections in association with jets with the ATLAS detector

Georges Aad, +2879 more
TL;DR: In this paper, cross sections for the production of a [Formula: see text] boson in association with jets, measured in proton-proton collisions at the ATLAS experiment at the large hadron collider, are presented.
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Galectin-1 Binds to Influenza Virus and Ameliorates Influenza Virus Pathogenesis

TL;DR: It is shown for the first time that intranasal treatment of galectin-1 could enhance survival of mice against lethal challenge with influenza virus by reducing viral load, inflammation, and apoptosis in the lung.
Proceedings Article

Learning Intrinsic Sparse Structures within Long Short-Term Memory

TL;DR: This work aims to learn structurally-sparse Long Short-Term Memory by reducing the sizes of basic structures within LSTM units, including input updates, gates, hidden states, cell states and outputs, by proposing Intrinsic Sparse Structures (ISS) in LSTMs.
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Sagnac interferometer as a speed-meter-type, quantum-nondemolition gravitational-wave detector

TL;DR: In this article, it was shown that a Sagnac-interferometer gravitational-wave detector is a speed meter and therefore it can beat the standard quantum limit by large amounts over a wide band of frequencies.
Journal ArticleDOI

Genome-wide expression changes induced by HTLV-1 Tax: evidence for MLK-3 mixed lineage kinase involvement in Tax-mediated NF-κB activation

TL;DR: Genes that were differentially expressed in the presence of Tax included those related to apoptosis, the cell cycle and DNA repair, signaling factors, immune modulators, cytokines and growth factors, and adhesion molecules, which provide additional insights into Tax-mediated signaling.