Guoqiang Zhong

发表

Generative adversarial networks with decoder-encoder output noises

Kaizhu Huang, Guoqiang Zhong, Wei Gao, 2020, Neural Networks.

EDNet: A Mesoscale Eddy Detection Network with Multi-Modal Data

Guoqiang Zhong, Zhenlin Fan, Hongxu Wei, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Automatic Design of Deep Networks with Neural Blocks

Kaizhu Huang, Guoqiang Zhong, Wei Gao, 2019, Cognitive Computation.

Structure Learning of Deep Neural Networks with Q-Learning pdf

Wei Gao, Guoqiang Zhong, Wencong Jiao, 2018, ArXiv.

Automatic DenseNet Sparsification

Tao Li, Guoqiang Zhong, Wencong Jiao, 2020, IEEE Access.

Random Shapley Forests: Cooperative Game-Based Random Forests With Consistency

Shu Zhang, Hui Yu, Guoqiang Zhong, 2020, IEEE Transactions on Cybernetics.

Tensor representation learning based image patch analysis for text identification and recognition

Mohamed Cheriet, Guoqiang Zhong, 2015, Pattern Recognit..

Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery

Guoqiang Zhong, Chengcheng Jia, Yun Raymond Fu, 2014, AAAI.

MCRN: A New Content-Based Music Classification and Recommendation Network

Kaizhu Huang, Guoqiang Zhong, Haizhen Wang, 2020, International Conference on Neural Information Processing.

Surface height map estimation from a single image using convolutional neural networks

Junyu Dong, Guoqiang Zhong, Lin Qi, 2017, International Conference on Graphic and Image Processing.

Compressing Deep Networks by Neuron Agglomerative Clustering

Kaizhu Huang, Guoqiang Zhong, Junyu Dong, 2020, Sensors.

The Necessary and Sufficient Conditions for the Existence of the Optimal Solution of Trace Ratio Problems

Guoqiang Zhong, Xiao Ling, G. Zhong, 2016, CCPR.

Feature Redirection Network for Few-Shot Classification

Kaizhu Huang, Guoqiang Zhong, Yanan Wang, 2020, ICONIP.

A Feature Fusion Network for Multi-modal Mesoscale Eddy Detection

Guoqiang Zhong, Zhenlin Fan, Haitao Li, 2020, ICONIP.

Banzhaf random forests: Cooperative game theory based random forests with consistency

Kaizhu Huang, Junyu Dong, Guoqiang Zhong, 2018, Neural Networks.

BEDNet: Bi-directional Edge Detection Network for Ocean Front Detection

Guoqiang Zhong, Zhenlin Fan, Qingyang Li, 2020, ICONIP.

Random Multi-Graphs: A semi-supervised learning framework for classification of high dimensional data

Qin Zhang, Guoqiang Zhong, Junyu Dong, 2017, Image Vis. Comput..

A PCA-Based Convolutional Network pdf

Junyu Dong, Jun Liu, Guoqiang Zhong, 2015, ArXiv.

Deep Error-Correcting Output Codes

Junyu Dong, Mengqi Li, Peng Zhang, 2017, Algorithms.

Cooperative Profit Random Forests With Application in Ocean Front Recognition

Junyu Dong, Guoqiang Zhong, Jianyuan Sun, 2017, IEEE Access.

KODAMA project: From design to implementation of a distributed multi-agent system

Kenichi Takahashi, Guoqiang Zhong, Satoshi Amamiya, 2002, AAMAS 2002.

Deep Gabor Scattering Network for Image Classification

Junyu Dong, Lina Wang, Guoqiang Zhong, 2018, PRCV.

Attention Recurrent Neural Networks for Image-Based Sequence Text Recognition

Guoqiang Zhong, Guohua Yue, 2019, ACPR.

A Deep Hashing Learning Network pdf

Junyu Dong, Guoqiang Zhong, Pan Yang, 2015, ArXiv.

Collapse Risk Analysis of Deep Foundation Pits in Metro Stations Using a Fuzzy Bayesian Network and a Fuzzy AHP

Hao Wang, Guoqiang Zhong, Chen Wu, 2020 .

3D Texture Recognition for RGB-D Images

Junyu Dong, Xin Mao, Guoqiang Zhong, 2015, CAIP.

Learning ECOC and Dichotomizers Jointly from Data

Kaizhu Huang, Cheng-Lin Liu, Guoqiang Zhong, 2010, ICONIP.

Marginal Deep Architecture: Stacking Feature Learning Modules to Build Deep Learning Models

Kang Zhang, Junyu Dong, Guoqiang Zhong, 2019, IEEE Access.

Classification of photographed document images based on deep-learning features

Guoqiang Zhong, Chen Hong, Tuan D. Pham, 2017, International Conference on Graphic and Image Processing.

Generative Adversarial Networks with Decoder-Encoder Output Noise pdf

Yongbin Liu, Wei Gao, Guoqiang Zhong, 2018, ArXiv.

An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning pdf

Junyu Dong, Lina Wang, Guoqiang Zhong, 2016, ArXiv.

Large Margin Low Rank Tensor Analysis

Mohamed Cheriet, Guoqiang Zhong, M. Cheriet, 2013, Neural Computation.

SymmetricNet: A mesoscale eddy detection method based on multivariate fusion data pdf

Guoqiang Zhong, Zhenlin Fan, G. Zhong, 2019, ArXiv.

Convolutional Discriminant Analysis

Yan Zheng, Guoqiang Zhong, Xiao Ling, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Banzhaf Random Forests pdf

Junyu Dong, Guoqiang Zhong, Jianyuan Sun, 2015, ArXiv.

Error-correcting output codes based ensemble feature extraction

Cheng-Lin Liu, Guoqiang Zhong, Cheng-Lin Liu, 2013, Pattern Recognit..

Gaussian Process Latent Random Field

Wu-Jun Li, Dit-Yan Yeung, Cheng-Lin Liu, 2010, AAAI.

Progressively Unfreezing Perceptual GAN pdf

Yang Chen, Guoqiang Zhong, Junyu Dong, 2020, ArXiv.

Student's t-Generative Adversarial Networks pdf

Yongbin Liu, Tao Li, Yang Chen, 2018, ArXiv.

Joint learning of error-correcting output codes and dichotomizers from data

Kaizhu Huang, Cheng-Lin Liu, Guoqiang Zhong, 2011, Neural Computing and Applications.

Structure Learning of Deep Networks via DNA Computing Algorithm pdf

Tao Li, Yang Chen, Guoqiang Zhong, 2018, ArXiv.

MusicCNNs: A New Benchmark on Content-Based Music Recommendation

Guoqiang Zhong, Wencong Jiao, Haizhen Wang, 2018, ICONIP.

Handwritten text line segmentation by spectral clustering

Guoqiang Zhong, Hui Yao, Xuecheng Han, 2017, International Conference on Graphic and Image Processing.

Recovering Super-Resolution Generative Adversarial Network for Underwater Images

Yang Chen, Guoqiang Zhong, Wencong Jiao, 2019, ICONIP.

Stretching deep architectures for text recognition

Junyu Dong, Guoqiang Zhong, Yuchen Zheng, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

Marginal Deep Architectures: Deep learning for Small and Middle Scale Applications

Junyu Dong, Guoqiang Zhong, Yuchen Zheng, 2017 .

Oceanic Data Analysis with Deep Learning Models

Xin Sun, Junyu Dong, Guoqiang Zhong, 2019, Cognitive Computation Trends.

Scalable large margin online metric learning

Yun Fu, Yan Zheng, Guoqiang Zhong, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

DNA computing inspired deep networks design

Cheng-Lin Liu, Junyu Dong, Tao Li, 2020, Neurocomputing.

Adaptive Error-Correcting Output Codes

Mohamed Cheriet, Guoqiang Zhong, 2013, IJCAI.

Learning perceptual texture similarity and relative attributes from computational features

Junyu Dong, Hui Yu, Guoqiang Zhong, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Nonconvex matrix completion with Nesterov’s acceleration

Guo-Sen Xie, Guoqiang Zhong, Xiao-Bo Jin, 2018, Big Data Analytics.

Enhanced LSTM with Batch Normalization

Kaizhu Huang, Guoqiang Zhong, Shoujun Yan, 2019, ICONIP.

An Empirical Evaluation of Supervised Dimensionality Reduction for Recognition

Mohamed Cheriet, Guoqiang Zhong, Youssouf Chherawala, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Self-taught recovery of depth data

Guoqiang Zhong, Lin Qi, Pan Yang, 2015, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

Visual Texture Perception with Feature Learning Models and Deep Architectures

Junyu Dong, Jun Liu, Guoqiang Zhong, 2014, CCPR.

Deep hashing learning networks

Junyu Dong, Hui Xu, Guoqiang Zhong, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Recurrent Attention Unit pdf

Guoqiang Zhong, Xiao Ling, Guohua Yue, 2018, ArXiv.

Long Short-Term Attention

Xin Lin, Kang Chen, Guoqiang Zhong, 2018, BICS.

Perception driven texture generation

Ying Gao, Junyu Dong, Jun Liu, 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).

Learnable Gabor Convolutional Networks

Guoqiang Zhong, Wencong Jiao, Wei Gao, 2019, ICONIP.

Change Detection in SAR Images Based on Deep Semi-NMF and SVD Networks

Junyu Dong, Muwei Jian, Guoqiang Zhong, 2017, Remote. Sens..

Merging Similar Neurons for Deep Networks Compression

Guoqiang Zhong, Tao Li, Hui Yao, 2020, Cognitive Computation.

Neural CAPTCHA networks

Kaizhu Huang, Guoqiang Zhong, Ying Ma, 2020 .

Incremental Layers Resection: A Novel Method to Compress Neural Networks

Guoqiang Zhong, Xiang Liu, Li-Na Wang, 2019, IEEE Access.

Weak Edge Identification Nets for Ocean Front Detection pdf

Qingyang Li, Guoqiang Zhong, Cui Xie, 2019, ArXiv.

Natural image illuminant estimation via deep non-negative matrix factorisation

Junyu Dong, Guoqiang Zhong, Xiaopeng Liu, 2018, IET Image Process..

Low Rank Tensor Manifold Learning

Mohamed Cheriet, Guoqiang Zhong, M. Cheriet, 2014, Low-Rank and Sparse Modeling for Visual Analysis.

SLMOML: Online Metric Learning With Global Convergence

Yun Fu, Yan Zheng, Guoqiang Zhong, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

Low Rank Metric Learning with Manifold Regularization

Kaizhu Huang, Cheng-Lin Liu, Guoqiang Zhong, 2011, 2011 IEEE 11th International Conference on Data Mining.

Prediction of Sea Surface Temperature Using Long Short-Term Memory

Junyu Dong, Guoqiang Zhong, Xin Sun, 2017, IEEE Geoscience and Remote Sensing Letters.

Improving short text classification by learning vector representations of both words and hidden topics

Heng Zhang, Guoqiang Zhong, G. Zhong, 2016, Knowl. Based Syst..

Visual texture perception via graph-based semi-supervised learning

Junyu Dong, Guoqiang Zhong, Qin Zhang, 2018, International Conference on Graphic and Image Processing.

Tandem hidden Markov models using deep belief networks for offline handwriting recognition

Mohamed Cheriet, Partha Pratim Roy, Guoqiang Zhong, 2017, Frontiers of Information Technology & Electronic Engineering.

Trace-Norm Regularized Multi-Task Learning for Sea State Bias Estimation

Guoqiang Zhong, Wencong Jiao, Benxiu Liu, 2020, Journal of Ocean University of China.

Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification

Kaizhu Huang, Junyu Dong, Guoqiang Zhong, 2018, Cognitive Computation.

AutoML for DenseNet Compression

Guoqiang Zhong, Wencong Jiao, Tao Li, 2019, ICONIP.

From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures

Guoqiang Zhong, Xiao Ling, Li-Na Wang, 2019, WIREs Data Mining Knowl. Discov..

Generative adversarial networks with mixture of t-distributions noise for diverse image generation

Kaizhu Huang, Guoqiang Zhong, Yongbin Liu, 2019, Neural Networks.

Is DeCAF Good Enough for Accurate Image Classification?

Kaizhu Huang, Junyu Dong, Guoqiang Zhong, 2015, ICONIP.

Marginal Deep Architectures

Junyu Dong, Guoqiang Zhong, Yuchen Zheng, 2017, 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR).

Image patches analysis for text block identification

Mohamed Cheriet, Guoqiang Zhong, M. Cheriet, 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).

MetaCGAN: A Novel GAN Model for Generating High Quality and Diversity Images with Few Training Data

Guoqiang Zhong, Yanan Wang, Wen Liu, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Merging Neurons for Structure Compression of Deep Networks

Huiyu Zhou, Guoqiang Zhong, Hui Yao, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

An anchor-based spectral clustering method

Qin Zhang, Guoqiang Zhong, Junyu Dong, 2018, Frontiers of Information Technology & Electronic Engineering.

Relational Fisher Analysis: A general framework for dimensionality reduction

Mohamed Cheriet, Guoqiang Zhong, Yaxin Shi, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Underwater image colour constancy based on DSNMF

Cong Liu, Junyu Dong, Guoqiang Zhong, 2017, IET Image Process..

Stock Market Prediction Based on Generative Adversarial Network

Yong Wang, Kang Zhang, Junyu Dong, 2018, IIKI.

A Graph-based Semi-supervised Multi-label Learning Method Based on Label Correlation Consistency

Junyu Dong, Guoqiang Zhong, Qin Zhang, 2021, Cognitive Computation.

Comparative Analysis of Three Methods for HYSPLIT Atmospheric Trajectories Clustering

Guoqiang Zhong, Xiaoquan Song, Likai Cui, 2021, Atmosphere.

A review on the attention mechanism of deep learning

Hui Yu, Guoqiang Zhong, Zhaoyang Niu, 2021, Neurocomputing.

Attention-Augmented Machine Memory

Qingyang Li, Kaizhu Huang, Guoqiang Zhong, 2021, Cognitive Computation.

ML-CGAN: Conditional Generative Adversarial Network with a Meta-learner Structure for High-Quality Image Generation with Few Training Data

Guoqiang Zhong, Ying Ma, Wen Liu, 2021, Cognitive Computation.

Differentiable Light-Weight Architecture Search

Guoqiang Zhong, Yanan Wang, Yuxu Mao, 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME).

Deep Architecture Compression with Automatic Clustering of Similar Neurons

Guoqiang Zhong, Xiang Liu, Wenxue Liu, 2021, PRCV.

A deep-learning model for the amplitude inversion of internal waves based on optical remote-sensing images

Guoqiang Zhong, Jing Wang, Xudong Zhang, 2018 .

A novel model of estimating sea state bias based on multi-layer neural network and multi-source altimeter data

Guoqiang Zhong, Yingting Guo, Benxiu Liu, 2018 .

Relative Distance-Based Laplacian Eigenmaps

Cheng-Lin Liu, Guoqiang Zhong, Xinwen Hou, 2009, 2009 Chinese Conference on Pattern Recognition.