Rui Zhang

According to our database1, Rui Zhang authored at least 37 papers between 2004 and 2020.

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Bibliography

2020
Generative adversarial classifier for handwriting characters super-resolution.
Pattern Recognit., 2020

Novel deep neural network based pattern field classification architectures.
Neural Networks, 2020

Improving deep neural network performance by integrating kernelized Min-Max objective.
Neurocomputing, 2020

2019
Generative Adversarial Classifier for Handwriting Characters Super-Resolution.
CoRR, 2019

A Novel Deep Density Model for Unsupervised Learning.
Cogn. Comput., 2019

Improving Script Identification by Integrating Text Recognition Information.
Aust. J. Intell. Inf. Process. Syst., 2019

SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Generalized Adversarial Training in Riemannian Space.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Improving Disentanglement-Based Image-to-Image Translation with Feature Joint Block Fusion.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Self-focus Deep Embedding Model for Coarse-Grained Zero-Shot Classification.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Fine-Grained Image Classification with Object-Part Model.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Action Recognition in Videos with Temporal Segments Fusions.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

PerSent 2.0: Persian Sentiment Lexicon Enriched with Domain-Specific Words.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Improving Image Caption Performance with Linguistic Context.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

2018
Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization.
IEEE Trans. Emerg. Top. Comput. Intell., 2018

A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems.
Neurocomputing, 2018

Learning from Few Samples with Memory Network.
Cogn. Comput., 2018

Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery.
Cogn. Comput., 2018

Improving Deep Neural Network Performance with Kernelized Min-Max Objective.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Style Neutralization Generative Adversarial Classifier.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2017
Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model.
Neural Process. Lett., 2017

Improve Deep Learning with Unsupervised Objective.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Field Support Vector Regression.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
Learning Imbalanced Classifiers Locally and Globally with One-Side Probability Machine.
Neural Process. Lett., 2015

Two-layer Mixture of Factor Analyzers with Joint Factor Loading.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Unsupervised Dimensionality Reduction for Gaussian Mixture Model.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2008
A Performance Management System for Telecommunication Network Using AI Techniques.
Proceedings of the Third International Conference on Dependability of Computer Systems, 2008

2006
Combining Wavelet Analysis and Bayesian Networks for the Classification of Auditory Brainstem Response.
IEEE Trans. Inf. Technol. Biomed., 2006

2005
Classification of the Auditory Brainstem Response (ABR) Using Wavelet Analysis and Bayesian Network.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

2004
Feature Extraction and Classification of the Auditory Brainstem Response Using Wavelet Analysis.
Proceedings of the Knowledge Exploration in Life Science Informatics, 2004


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