Publications

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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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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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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Weidong Wu

Publications

The evolution of SARS-CoV-2 and the COVID-19 pandemic

Sfnn: Semantic features fusion neural network for multimodal sentiment analysis

NOAA-LSTM: A New Method of Dialect Identification