The coevolutionary analysis of NSP3 and NSP4 proteins in SARS-CoV-2
NSP34共进化分析
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portfolio
publications
NOAA-LSTM: A New Method of Dialect Identification
Published in ICAIS, 2019
This paper is about a new Method of Dialect Identification.
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Sfnn: Semantic features fusion neural network for multimodal sentiment analysis
Published in CACRE, 2020
This paper proposes a neural network SFNN based on semantic feature fusion, Detecting sentiment in online reviews.Experimental results show that our model could achieve better performance than the existing methods in the benchmark dataset.
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The evolution of SARS-CoV-2 and the COVID-19 pandemic
Published in PeerJ, 2023
We analyzed and predicted the mutation rates of the whole genome and main proteins of SARS-CoV-2 from different populations to understand the adaptive relationship between humans and COVID-19. Our study identified a correlation of the mutation rates from each protein of SARS-CoV-2 and various human populations. Overall, this analysis provides a scientific basis for developing data-driven strategies to confront human pathogens.
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talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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