Guoqiang Zhong

Orcid: 0000-0002-2952-6642

Affiliations:
  • Ocean University of China, Department of Computer Science and Technology, Qingdao, China
  • University of Quebec, Synchromedia Laboratory for Multimedia Communication in Telepresence, Montreal, Canada (2011 - 2013)
  • Chinese Academy of Sciences, Institute of Automation, Beijing, China (PhD 2011)


According to our database1, Guoqiang Zhong authored at least 108 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MF-Net: Multi-frequency intrusion detection network for Internet traffic data.
Pattern Recognit., February, 2024

Attention-Guided Multi-Scale Fusion Network for Similar Objects Semantic Segmentation.
Cogn. Comput., January, 2024

TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Self-Prompt Mechanism for Few-Shot Image Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Quantum recurrent neural networks for sequential learning.
Neural Networks, September, 2023

Self-supervised generative learning for sequential data prediction.
Appl. Intell., September, 2023

DLW-NAS: Differentiable Light-Weight Neural Architecture Search.
Cogn. Comput., March, 2023

Ocean Front Detection With Bi-Directional Progressive Fusion Attention Network.
IEEE Geosci. Remote. Sens. Lett., 2023

Lightweight network learning with Zero-Shot Neural Architecture Search for UAV images.
Knowl. Based Syst., 2023

Recurrent attention unit: A new gated recurrent unit for long-term memory of important parts in sequential data.
Neurocomputing, 2023

Hybrid quantum-classical convolutional neural network for phytoplankton classification.
CoRR, 2023

Relational Fisher Analysis: Dimensionality Reduction in Relational Data with Global Convergence.
Algorithms, 2023

Deep Error-Correcting Output Codes.
Algorithms, 2023

LGI-GT: Graph Transformers with Local and Global Operators Interleaving.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Random Shapley Forests: Cooperative Game-Based Random Forests With Consistency.
IEEE Trans. Cybern., 2022

Adaptive Gabor convolutional networks.
Pattern Recognit., 2022

Face image-sketch synthesis via generative adversarial fusion.
Neural Networks, 2022

Weak Edge Identification Network for Ocean Front Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

FFNet: Feature Fusion Network for Few-shot Semantic Segmentation.
Cogn. Comput., 2022

Music-CRN: an Efficient Content-Based Music Classification and Recommendation Network.
Cogn. Comput., 2022

Text Classification with Attention Gated Graph Neural Network.
Cogn. Comput., 2022

Category Relevance Redirection Network for Few-Shot Classification.
IEEE Access, 2022

SteelyGAN: Semantic Unsupervised Symbolic Music Genre Transfer.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Deep Discriminative Hashing Networks on Point-wise Labels for Image Retrieval.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Underwater Object Detection Using Restructured SSD.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
A review on the attention mechanism of deep learning.
Neurocomputing, 2021

A Graph-based Semi-supervised Multi-label Learning Method Based on Label Correlation Consistency.
Cogn. Comput., 2021

ML-CGAN: Conditional Generative Adversarial Network with a Meta-learner Structure for High-Quality Image Generation with Few Training Data.
Cogn. Comput., 2021

Attention-Augmented Machine Memory.
Cogn. Comput., 2021

Deep Architecture Compression with Automatic Clustering of Similar Neurons.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Differentiable Light-Weight Architecture Search.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
Compressing Deep Networks by Neuron Agglomerative Clustering.
Sensors, 2020

Generative adversarial networks with decoder-encoder output noises.
Neural Networks, 2020

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

DNA computing inspired deep networks design.
Neurocomputing, 2020

Progressively Unfreezing Perceptual GAN.
CoRR, 2020

Merging Similar Neurons for Deep Networks Compression.
Cogn. Comput., 2020

Automatic Design of Deep Networks with Neural Blocks.
Cogn. Comput., 2020

Neural CAPTCHA networks.
Appl. Soft Comput., 2020

Automatic DenseNet Sparsification.
IEEE Access, 2020

MetaCGAN: A Novel GAN Model for Generating High Quality and Diversity Images with Few Training Data.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

EDNet: A Mesoscale Eddy Detection Network with Multi-Modal Data.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Feature Redirection Network for Few-Shot Classification.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

MCRN: A New Content-Based Music Classification and Recommendation Network.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

BEDNet: Bi-directional Edge Detection Network for Ocean Front Detection.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Feature Fusion Network for Multi-modal Mesoscale Eddy Detection.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures.
WIREs Data Mining 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

Long Short-Term Attention.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Attention Recurrent Neural Networks for Image-Based Sequence Text Recognition.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

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

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

An anchor-based spectral clustering method.
Frontiers Inf. Technol. Electron. Eng., 2018

Natural image illuminant estimation via deep non-negative matrix factorisation.
IET Image Process., 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.
Cogn. Comput., 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. Sens., 2017

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

Tandem hidden Markov models using deep belief networks for offline handwriting recognition.
Frontiers Inf. Technol. Electron. Eng., 2017

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

Underwater image colour constancy based on DSNMF.
IET Image Process., 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 Recognit., 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 Comput., 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 Recognit., 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 Comput. Appl., 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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