490 citations · 562 across the 16 of their papers we have counts for
16 papers
Progressively Unfreezing Perceptual GAN
Jinxuan Sun, Yang Chen, Junyu Dong +1
Generative adversarial networks (GANs) are widely used in image generation tasks, yet the generated images are usually lack of texture details. In this paper, we propose a general…
SymmetricNet: A mesoscale eddy detection method based on multivariate fusion data
Zhenlin Fan, Guoqiang Zhong
Mesoscale eddies play a significant role in marine energy transport, marine biological environment and marine climate. Due to their huge impact on the ocean, mesoscale eddy detecti…
Weak Edge Identification Nets for Ocean Front Detection
Qingyang Li, Guoqiang Zhong, Cui Xie
The ocean front has an important impact in many areas, it is meaningful to obtain accurate ocean front positioning, therefore, ocean front detection is a very important task. Howev…
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…
Prediction of Sea Surface Temperature using Long Short-Term Memory
Qin Zhang, Hui Wang, Junyu Dong +2
This letter adopts long short-term memory(LSTM) to predict sea surface temperature(SST), which is the first attempt, to our knowledge, to use recurrent neural network to solve the…
Perception Driven Texture Generation
Yanhai Gan, Huifang Chi, Ying Gao +3
This paper investigates a novel task of generating texture images from perceptual descriptions. Previous work on texture generation focused on either synthesis from examples or gen…
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 Deep Hashing Learning Network
Guoqiang Zhong, Pan Yang, Sijiang Wang +1
Hashing-based methods seek compact and efficient binary codes that preserve the neighborhood structure in the original data space. For most existing hashing methods, an image is fi…
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…