490 citations · 562 across the 16 of their papers we have counts for
8 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…
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…
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning
Guoqiang Zhong, Li-Na Wang, Junyu Dong
Since about 100 years ago, to learn the intrinsic structure of data, many representation learning approaches have been proposed, including both linear ones and nonlinear ones, supe…
Banzhaf Random Forests
Jianyuan Sun, Guoqiang Zhong, Junyu Dong +1
Random forests are a type of ensemble method which makes predictions by combining the results of several independent trees. However, the theory of random forests has long been outp…
A PCA-Based Convolutional Network
Yanhai Gan, Jun Liu, Junyu Dong +1
In this paper, we propose a novel unsupervised deep learning model, called PCA-based Convolutional Network (PCN). The architecture of PCN is composed of several feature extraction…
Large Margin Low Rank Tensor Analysis
Guoqiang Zhong, Mohamed Cheriet
Other than vector representations, the direct objects of human cognition are generally high-order tensors, such as 2D images and 3D textures. From this fact, two interesting questi…