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Zhen Li

Researcher at Wuhan University

Publications -  3347
Citations -  95191

Zhen Li is an academic researcher from Wuhan University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 127, co-authored 1712 publications receiving 71351 citations. Previous affiliations of Zhen Li include Tsinghua University & Hong Kong University of Science and Technology.

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Proceedings ArticleDOI

Ultra Fine-Grained Image Semantic Embedding

TL;DR: Graph-Regularized Image Semantic Embedding (Graph-RISE), a web-scale neural graph learning framework deployed at Google, which allows to train image embeddings to discriminate an unprecedented O(40M) ultra-fine-grained semantic labels, effectively captures semantics and differentiates nuances at levels that are closer to human-perception.
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Blood Circulation, Biodistribution, and Pharmacokinetics of Dextran-Modified Black Phosphorus Nanoparticles

TL;DR: The quantification of blood circulation, biodistribution, and pharmacokinetics of dextran-modified BP nanoparticles in balb/c mice through the highly sensitive noninvasive photoacoustic (PA) imaging and single-emission computed tomography/computed tomography (SPECT/CT) imaging is reported.
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Theoretical study of two states reactivity of methane activation on iron atom and iron dimer

TL;DR: In this article, DFT calculations have been carried out to explore the catalytic activation of C-H bonds in methane by the iron atom, Fe, and the iron dimer, Fe2.
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Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning

TL;DR: Wang et al. as mentioned in this paper used the medical visual language BERT (Medical-VLBERT) model to identify the abnormality on the COVID-19 scans and generate the medical report automatically based on the detected lesion regions.
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New application of AIEgens realized in photodetectors: reduced work function of transparent electrodes and much improved performance

TL;DR: In this article, high performance organic devices could be achieved by jointly controlling conjugation associated aggregation and the quantity and state of ions on the electrode surface, thus providing a new application for AIEgens.