Rui Zhang

According to our database, Rui Zhang authored at least 63 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning Disentangled Graph Convolutional Networks Locally and Globally.

Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering.

Jingwei Guo, Kaizhu Huang, Xinping Yi, Zixian Su, Rui Zhang

CoRR, 2024

2023

Robust generative adversarial network.

Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin Xiao, Yuan He, Canyi Lu

Mach. Learn., December, 2023

Towards better long-tailed oracle character recognition with adversarial data augmentation.

Jing Li, Qiu-Feng Wang, Kaizhu Huang, Xi Yang, Rui Zhang, John Yannis Goulermas

Pattern Recognit., August, 2023

Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction.

Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, John Yannis Goulermas

IEEE Trans. Knowl. Data Eng., June, 2023

Generalized image outpainting with U-transformer.

Penglei Gao, Xi Yang, Rui Zhang, John Yannis Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang

Neural Networks, May, 2023

Diff-Oracle: Diffusion Model for Oracle Character Generation with Controllable Styles and Contents.

Jing Li, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang, Siyuan Wang

CoRR, 2023

Diff-OP3D: Bridging 2D Diffusion for Open Pose 3D Zero-Shot Classification.

Weiguang Zhao, Guanyu Yang, Chaolong Yang, Chenru Jiang, Yuyao Yan, Rui Zhang, Kaizhu Huang

CoRR, 2023

Graph Neural Networks with Diverse Spectral Filtering.

Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang

Proceedings of the ACM Web Conference 2023, 2023

Decoupled Learning for Long-Tailed Oracle Character Recognition.

Jing Li, Bin Dong, Qiu-Feng Wang, Lei Ding, Rui Zhang, Kaizhu Huang

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation.

Zhiqiang Gao, Kaizhu Huang, Rui Zhang, Dawei Liu, Jieming Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables.

Penglei Gao, Xi Yang, Kaizhu Huang, Rui Zhang, Ping Guo, John Yannis Goulermas

CoRR, 2022

ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting.

Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang

CoRR, 2022

Generalised Image Outpainting with U-Transformer.

Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, Yujie Geng

CoRR, 2022

Certifying Better Robust Generalization for Unsupervised Domain Adaptation.

Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Chaoliang Zhong

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Outpainting by Queries.

Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Improving generative adversarial networks with simple latent distributions.

Shufei Zhang, Kaizhu Huang, Zhuang Qian, Rui Zhang, Amir Hussain

Neural Comput. Appl., 2021

Coarse-grained generalized zero-shot learning with efficient self-focus mechanism.

Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain

Neurocomputing, 2021

Improving Model Robustness with Latent Distribution Locally and Globally.

Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi

CoRR, 2021

LGD-GCN: Local and Global Disentangled Graph Convolutional Networks.

Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang

CoRR, 2021

Style-Neutralized Pattern Classification Based on Adversarially Trained Upgraded U-Net.

Haochuan Jiang, Kaizhu Huang, Rui Zhang, Amir Hussain

Cogn. Comput., 2021

Towards Better Robust Generalization with Shift Consistency Regularization.

Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi

Proceedings of the 38th International Conference on Machine Learning, 2021

Mix-Up Augmentation for Oracle Character Recognition with Imbalanced Data Distribution.

Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020

Generative adversarial classifier for handwriting characters super-resolution.

Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang, Jimin Xiao, Rui Zhang

Pattern Recognit., 2020

Novel deep neural network based pattern field classification architectures.

Kaizhu Huang, Shufei Zhang, Rui Zhang, Amir Hussain

Neural Networks, 2020

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

Qiu-Feng Wang, Kai Yao, Rui Zhang, Amir Hussain, Kaizhu Huang

Neurocomputing, 2020

Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction.

Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang

CoRR, 2020

Inductive Generalized Zero-Shot Learning with Adversarial Relation Network.

Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Adversarial Rectification Network for Scene Text Regularization.

Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

A Novel Deep Density Model for Unsupervised Learning.

Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas

Cogn. Comput., 2019

Improving Script Identification by Integrating Text Recognition Information.

Yupeng Cao, Jing Li, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang

Aust. J. Intell. Inf. Process. Syst., 2019

A Multi-Objective Optimization Model for Bike-Sharing.

Yu Shan, Dejun Xie, Rui Zhang

Proceedings of the ICIT 2019, 2019

SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions.

Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Amir Hussain

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Generalized Adversarial Training in Riemannian Space.

Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain

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.

Xi Yang, Yuyao Yan, Kaizhu Huang, Rui Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Improving Disentanglement-Based Image-to-Image Translation with Feature Joint Block Fusion.

Zhejian Zhang, Rui Zhang, Qiu-Feng Wang, Kaizhu Huang

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Self-focus Deep Embedding Model for Coarse-Grained Zero-Shot Classification.

Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Fine-Grained Image Classification with Object-Part Model.

Jinlong Hong, Kaizhu Huang, Hai-Ning Liang, Xinheng Wang, Rui Zhang

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Action Recognition in Videos with Temporal Segments Fusions.

Yuanye Fang, Rui Zhang, Qiu-Feng Wang, Kaizhu Huang

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

PerSent 2.0: Persian Sentiment Lexicon Enriched with Domain-Specific Words.

Kia Dashtipour, Ali Raza, Alexander F. Gelbukh, Rui Zhang, Erik Cambria, Amir Hussain

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Improving Image Caption Performance with Linguistic Context.

Yupeng Cao, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances.

Rami Ahmed, Kia Dashtipour, Mandar Gogate, Ali Raza, Rui Zhang, Kaizhu Huang, Ahmad Y. A. Hawalah, Ahsan Adeel, Amir Hussain

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

2018

Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization.

Xi Yang, Kaizhu Huang, Rui Zhang, Amir Hussain

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.

Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain

Neurocomputing, 2018

Learning from Few Samples with Memory Network.

Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain

Cogn. Comput., 2018

Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery.

Kaizhu Huang, Rui Zhang, Xiaobo Jin, Amir Hussain

Cogn. Comput., 2018

Improving Deep Neural Network Performance with Kernelized Min-Max Objective.

Kai Yao, Kaizhu Huang, Rui Zhang, Amir Hussain

Proceedings of the Neural Information Processing - 25th International Conference, 2018

W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks.

Haochuan Jiang, Guanyu Yang, Kaizhu Huang, Rui Zhang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Style Neutralization Generative Adversarial Classifier.

Haochuan Jiang, Kaizhu Huang, Rui Zhang, Amir Hussain

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2017

Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model.

Xi Yang, Kaizhu Huang, John Yannis Goulermas, Rui Zhang

Neural Process. Lett., 2017

Improve Deep Learning with Unsupervised Objective.

Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain

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.

Xi Yang, Kaizhu Huang, Rui Zhang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Field Support Vector Regression.

Haochuan Jiang, Kaizhu Huang, Rui Zhang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization.

Xi Yang, Kaizhu Huang, Rui Zhang, Amir Hussain

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Learning Imbalanced Classifiers Locally and Globally with One-Side Probability Machine.

Kaizhu Huang, Rui Zhang, Xu-Cheng Yin

Neural Process. Lett., 2015

Two-layer Mixture of Factor Analyzers with Joint Factor Loading.

Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks.

Rui Zhang, Shufei Zhang, Kaizhu Huang

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Unsupervised Dimensionality Reduction for Gaussian Mixture Model.

Xi Yang, Kaizhu Huang, Rui Zhang

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013

One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally.

Rui Zhang, Kaizhu Huang

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2008

A Performance Management System for Telecommunication Network Using AI Techniques.

Shaoyan Zhang, Rui Zhang, Jianmin Jiang

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.

Rui Zhang, Gerry McAllister, Bryan W. Scotney, Sally I. McClean, Glen Houston

IEEE Trans. Inf. Technol. Biomed., 2006

2005

Classification of the Auditory Brainstem Response (ABR) Using Wavelet Analysis and Bayesian Network.

Rui Zhang, Gerry McAllister, Bryan W. Scotney, Sally I. McClean, Glen Houston

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.

Rui Zhang, Gerry McAllister, Bryan W. Scotney, Sally I. McClean, Glen Houston

Proceedings of the Knowledge Exploration in Life Science Informatics, 2004