490 citations · 562 across the 16 of their papers we have counts for
6 papers · 1 filter
Student's t-Generative Adversarial Networks
Jinxuan Sun, Guoqiang Zhong, Yang Chen +3
Generative Adversarial Networks (GANs) have a great performance in image generation, but they need a large scale of data to train the entire framework, and often result in nonsensi…
Structure Learning of Deep Neural Networks with Q-Learning
Guoqiang Zhong, Wencong Jiao, Wei Gao
Recently, with convolutional neural networks gaining significant achievements in many challenging machine learning fields, hand-crafted neural networks no longer satisfy our requir…
Recurrent Attention Unit
Guoqiang Zhong, Guohua Yue, Xiao Ling
Recurrent Neural Network (RNN) has been successfully applied in many sequence learning problems. Such as handwriting recognition, image description, natural language processing and…
Structure Learning of Deep Networks via DNA Computing Algorithm
Guoqiang Zhong, Tao Li, Wenxue Liu +1
Convolutional Neural Network (CNN) has gained state-of-the-art results in many pattern recognition and computer vision tasks. However, most of the CNN structures are manually desig…
Long Short-Term Attention
Guoqiang Zhong, Xin Lin, Kang Chen +2
Attention is an important cognition process of humans, which helps humans concentrate on critical information during their perception and learning. However, although many machine l…
Generative Adversarial Networks with Decoder-Encoder Output Noise
Guoqiang Zhong, Wei Gao, Yongbin Liu +1
In recent years, research on image generation methods has been developing fast. The auto-encoding variational Bayes method (VAEs) was proposed in 2013, which uses variational infer…