Y. Hu

Publications1,289
h-index72
Citations65,248
Highly Influential Citations3,939
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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
A new coronavirus associated with human respiratory disease in China
TLDR
Phylogenetic and metagenomic analyses of the complete viral genome of a new coronavirus from the family Coronaviridae reveal that the virus is closely related to a group of SARS-like coronaviruses found in bats in China.
Evaluation of Objective Quality Measures for Speech Enhancement
  • Y. Hu, P. Loizou
  • Computer Science
    IEEE Transactions on Audio, Speech, and Language…
  • 2008
TLDR
The evaluation of correlations of several objective measures with these three subjective rating scales is reported on and several new composite objective measures are also proposed by combining the individual objective measures using nonparametric and parametric regression analysis techniques.
Remdesivir in adults with severe COVID-19: a randomised, double-blind, placebo-controlled, multicentre trial
A Risk Society
  • Y. Hu
  • Economics
    Rural Health Care Delivery
  • 28 August 2013
“Risk society” is a concept that was first framed by the German sociologist Ulrich Beck in Risk Society in 1986. In Beck’s view, the modern society had deviated from (Karl Marx’s) class society or…
Mori dream spaces and GIT.
The main goal of this paper is to study varieties with the best possible Mori theoretic properties (measured by the existence of a certain decomposition of the cone of effective divisors). We call…
Identification of a novel coronavirus causing severe pneumonia in human: a descriptive study
TLDR
A novel bat-borne CoV was identified that is associated with severe and fatal respiratory disease in humans and the amino acid sequence of the tentative receptor-binding domain resembles that of SARS-CoV, indicating that these viruses might use the same receptor.
An algorithm that improves speech intelligibility in noise for normal-hearing listeners.
TLDR
The findings from this study suggest that algorithms that can estimate reliably the SNR in each T-F unit can improve speech intelligibility.
Subjective comparison and evaluation of speech enhancement algorithms
Objective measures for predicting speech intelligibility in noisy conditions based on new band-importance functions.
TLDR
The results from this study clearly suggest that the traditional AI and STI indices could benefit from the use of the proposed signal- and segment-dependent band-importance functions.
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