• Publications
  • Influence
Distributed Representations of Words and Phrases and their Compositionality
The recently introduced continuous Skip-gram model is an efficient method for learning high-quality distributed vector representations that capture a large number of precise syntactic and semanticExpand
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Efficient Estimation of Word Representations in Vector Space
We propose two novel model architectures for computing continuous vector representations of words from very large data sets. The quality of these representations is measured in a word similarityExpand
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Large Scale Distributed Deep Networks
Recent work in unsupervised feature learning and deep learning has shown that being able to train large models can dramatically improve performance. In this paper, we consider the problem of trainingExpand
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QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Current end-to-end machine reading and question answering (Q\&A) models are primarily based on recurrent neural networks (RNNs) with attention. Despite their success, these models are often slow forExpand
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Semantic Anchoring with Model Transformations
Model-Integrated Computing (MIC) is an approach to Model-Driven Architecture (MDA), which has been developed primarily for embedded systems. MIC places strong emphasis on the use of domain-specificExpand
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Circular RNA IARS (circ-IARS) secreted by pancreatic cancer cells and located within exosomes regulates endothelial monolayer permeability to promote tumor metastasis
  • J. Li, Z. Li, +7 authors Xiaowu Li
  • Medicine, Biology
  • Journal of experimental & clinical cancer…
  • 31 July 2018
BackgroundRecent studies show that exosomes are involved in intercellular communication and that abundant circular RNAs (circRNAs) are present within exosomes. However, whether these exosomalExpand
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Categorization of common coupling and its application to the maintainability of the Linux kernel
Data coupling between modules, especially common coupling, has long been considered a source of concern in software design, but the issue is somewhat more complicated for products that are comprisedExpand
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Toward a semantic anchoring infrastructure for domain-specific modeling languages
Metamodeling facilitates the rapid, inexpensive development of domain-specific modeling languages (DSML-s). However, there are still challenges hindering the wide-scale industrial application ofExpand
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Maintainability of the kernels of open-source operating systems: A comparison of Linux with FreeBSD, NetBSD, and OpenBSD
We compared and contrasted the maintainability of four open-source operating systems: Linux, FreeBSD, NetBSD, and OpenBSD. We used our categorization of common coupling in kernel-based software toExpand
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Compositional Specification of Behavioral Semantics
An emerging common trend in model-based design of embedded software and systems is the adoption of domain-specific modeling languages (DSMLs). While abstract syntax metamodeling enables the rapid andExpand
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