G
Guoqiang Zhong
Researcher at Ocean University of China
Publications - 117
Citations - 2347
Guoqiang Zhong is an academic researcher from Ocean University of China. The author has contributed to research in topics: Deep learning & Computer science. The author has an hindex of 19, co-authored 102 publications receiving 1164 citations. Previous affiliations of Guoqiang Zhong include École de technologie supérieure & Chinese Academy of Sciences.
Papers
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A review on the attention mechanism of deep learning
TL;DR: An overview of the state-of-the-art attention models proposed in recent years is given and a unified model that is suitable for most attention structures is defined.
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Prediction of Sea Surface Temperature Using Long Short-Term Memory
TL;DR: This letter adopts long short-term memory (LSTM) to predict sea surface temperature (SST), and makes short- and long-term prediction, including weekly mean and monthly mean, and the model’s online updated characteristics are presented.
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An overview on data representation learning: From traditional feature learning to recent deep learning
TL;DR: This paper investigates both traditional feature learning algorithms and state-of-the-art deep learning models, and gives a few remarks on the development of data representation learning and suggest some interesting research directions in this area.
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Stock Market Prediction Based on Generative Adversarial Network
TL;DR: Wang et al. as mentioned in this paper proposed a novel architecture of Generative Adversarial Network (GAN) with the Multi-Layer Perceptron (MLP) as discriminator and the Long Short-Term Memory (LSTM) as the generator for forecasting the closing price of stocks.
Stock Market Prediction Based on Generative Adversarial Network.
TL;DR: Experimental results show that the novel GAN can get a promising performance in the closing price prediction on the real data compared with other models in machine learning and deep learning.