Guoqiang Zhong

According to our database1, Guoqiang Zhong authored at least 61 papers between 2010 and 2020.

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Bibliography

2020
Generative adversarial networks with mixture of t-distributions noise for diverse image generation.
Neural Networks, 2020

2019
From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2019

SymmetricNet: A mesoscale eddy detection method based on multivariate fusion data.
CoRR, 2019

Weak Edge Identification Nets for Ocean Front Detection.
CoRR, 2019

Marginal Deep Architecture: Stacking Feature Learning Modules to Build Deep Learning Models.
IEEE Access, 2019

Incremental Layers Resection: A Novel Method to Compress Neural Networks.
IEEE Access, 2019

Enhanced LSTM with Batch Normalization.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

AutoML for DenseNet Compression.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Recovering Super-Resolution Generative Adversarial Network for Underwater Images.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Learnable Gabor Convolutional Networks.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
SLMOML: Online Metric Learning With Global Convergence.
IEEE Trans. Circuits Syst. Video Techn., 2018

Banzhaf random forests: Cooperative game theory based random forests with consistency.
Neural Networks, 2018

An anchor-based spectral clustering method.
Frontiers of IT & EE, 2018

Natural image illuminant estimation via deep non-negative matrix factorisation.
IET Image Processing, 2018

Student's t-Generative Adversarial Networks.
CoRR, 2018

Structure Learning of Deep Neural Networks with Q-Learning.
CoRR, 2018

Recurrent Attention Unit.
CoRR, 2018

Long Short-Term Attention.
CoRR, 2018

Structure Learning of Deep Networks via DNA Computing Algorithm.
CoRR, 2018

Generative Adversarial Networks with Decoder-Encoder Output Noise.
CoRR, 2018

Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification.
Cognitive Computation, 2018

Deep Gabor Scattering Network for Image Classification.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Stock Market Prediction Based on Generative Adversarial Network.
Proceedings of the 2018 International Conference on Identification, 2018

Merging Neurons for Structure Compression of Deep Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Convolutional Discriminant Analysis.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

MusicCNNs: A New Benchmark on Content-Based Music Recommendation.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Change Detection in SAR Images Based on Deep Semi-NMF and SVD Networks.
Remote Sensing, 2017

Prediction of Sea Surface Temperature Using Long Short-Term Memory.
IEEE Geosci. Remote Sensing Lett., 2017

Tandem hidden Markov models using deep belief networks for offline handwriting recognition.
Frontiers of IT & EE, 2017

Random Multi-Graphs: A semi-supervised learning framework for classification of high dimensional data.
Image Vision Comput., 2017

Underwater image colour constancy based on DSNMF.
IET Image Processing, 2017

Cooperative Profit Random Forests With Application in Ocean Front Recognition.
IEEE Access, 2017

Perception driven texture generation.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Marginal Deep Architectures.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
Improving short text classification by learning vector representations of both words and hidden topics.
Knowl.-Based Syst., 2016

An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning.
CoRR, 2016

Scalable large margin online metric learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Deep hashing learning networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Relational Fisher Analysis: A general framework for dimensionality reduction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Learning perceptual texture similarity and relative attributes from computational features.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

The Necessary and Sufficient Conditions for the Existence of the Optimal Solution of Trace Ratio Problems.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015
Tensor representation learning based image patch analysis for text identification and recognition.
Pattern Recognition, 2015

A Deep Hashing Learning Network.
CoRR, 2015

Banzhaf Random Forests.
CoRR, 2015

A PCA-Based Convolutional Network.
CoRR, 2015

Is DeCAF Good Enough for Accurate Image Classification?
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Stretching deep architectures for text recognition.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

3D Texture Recognition for RGB-D Images.
Proceedings of the Computer Analysis of Images and Patterns, 2015

Self-taught recovery of depth data.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2014
Large Margin Low Rank Tensor Analysis.
Neural Computation, 2014

Visual Texture Perception with Feature Learning Models and Deep Architectures.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Low Rank Tensor Manifold Learning.
Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

2013
Error-correcting output codes based ensemble feature extraction.
Pattern Recognition, 2013

Adaptive Error-Correcting Output Codes.
Proceedings of the IJCAI 2013, 2013

An Empirical Evaluation of Supervised Dimensionality Reduction for Recognition.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

2012
Joint learning of error-correcting output codes and dichotomizers from data.
Neural Computing and Applications, 2012

Image patches analysis for text block identification.
Proceedings of the 11th International Conference on Information Science, 2012

2011
Low Rank Metric Learning with Manifold Regularization.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Learning ECOC and Dichotomizers Jointly from Data.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

Gaussian Process Latent Random Field.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010


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