Rui Zhang

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 53

Top Topics

Ordinary Differential Equations

Unsupervised Dimensionality Reduction

Top Venues

Publications

Guanyu Yang, Kaizhu Huang, Rui Zhang, Xi Yang
Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning. Neural Comput. 36 (5) (2024)
Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang
Learning Disentangled Graph Convolutional Networks Locally and Globally. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Haochuan Jiang, Guanyu Yang, Kaizhu Huang, Rui Zhang
W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks. CoRR (2024)
Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang
Continuous Image Outpainting with Neural ODE. ACM Trans. Multim. Comput. Commun. Appl. 20 (7) (2024)
Sidong Jiang, Siyuan Wang, Rui Zhang, Xi Yang, Kaizhu Huang
Cipher-Prompt: Towards a Safe Diffusion Model via Learning Cryptographic Prompts. BICS (2023)
Penglei Gao, Xi Yang, Rui Zhang, John Yannis Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang
Generalized image outpainting with U-transformer. Neural Networks 162 (2023)
Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin Xiao, Yuan He, Canyi Lu
Robust generative adversarial network. Mach. Learn. 112 (12) (2023)
Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang
Graph Neural Networks with Diverse Spectral Filtering. WWW (2023)
Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, John Yannis Goulermas
Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Chaoliang Zhong
Certifying Better Robust Generalization for Unsupervised Domain Adaptation. ACM Multimedia (2022)
Penglei Gao, Xi Yang, Kaizhu Huang, Rui Zhang, Ping Guo, John Yannis Goulermas
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables. CoRR (2022)
Kai Yao, Penglei Gao, Xi Yang, Kaizhu Huang, Jie Sun, Rui Zhang
Outpainting by Queries. CoRR (2022)
Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting. CoRR (2022)
Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang
Outpainting by Queries. ECCV (23) (2022)
Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang
LGD-GCN: Local and Global Disentangled Graph Convolutional Networks. CoRR (2021)
Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
Coarse-grained generalized zero-shot learning with efficient self-focus mechanism. Neurocomputing 463 (2021)
Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang
Mix-Up Augmentation for Oracle Character Recognition with Imbalanced Data Distribution. ICDAR (1) (2021)
Haochuan Jiang, Kaizhu Huang, Rui Zhang, Amir Hussain
Style-Neutralized Pattern Classification Based on Adversarially Trained Upgraded U-Net. Cogn. Comput. 13 (4) (2021)
Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi
Improving Model Robustness with Latent Distribution Locally and Globally. CoRR (2021)
Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi
Towards Better Robust Generalization with Shift Consistency Regularization. ICML (2021)
Shufei Zhang, Kaizhu Huang, Zhuang Qian, Rui Zhang, Amir Hussain
Improving generative adversarial networks with simple latent distributions. Neural Comput. Appl. 33 (20) (2021)
Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang, Jimin Xiao, Rui Zhang
Generative adversarial classifier for handwriting characters super-resolution. Pattern Recognit. 107 (2020)
Kaizhu Huang, Shufei Zhang, Rui Zhang, Amir Hussain
Novel deep neural network based pattern field classification architectures. Neural Networks 127 (2020)
Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
Inductive Generalized Zero-Shot Learning with Adversarial Relation Network. ECML/PKDD (2) (2020)
Qiu-Feng Wang, Kai Yao, Rui Zhang, Amir Hussain, Kaizhu Huang
Improving deep neural network performance by integrating kernelized Min-Max objective. Neurocomputing 408 (2020)
Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction. CoRR (2020)
Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang
Adversarial Rectification Network for Scene Text Regularization. ICONIP (2) (2020)
Yupeng Cao, Jing Li, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang
Improving Script Identification by Integrating Text Recognition Information. Aust. J. Intell. Inf. Process. Syst. 16 (3) (2019)
Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Jimin Xiao, Rui Zhang
Generative Adversarial Classifier for Handwriting Characters Super-Resolution. CoRR (2019)
Zhejian Zhang, Rui Zhang, Qiu-Feng Wang, Kaizhu Huang
Improving Disentanglement-Based Image-to-Image Translation with Feature Joint Block Fusion. BICS (2019)
Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Amir Hussain
SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions. ICDM Workshops (2019)
Kia Dashtipour, Ali Raza, Alexander F. Gelbukh, Rui Zhang, Erik Cambria, Amir Hussain
PerSent 2.0: Persian Sentiment Lexicon Enriched with Domain-Specific Words. BICS (2019)
Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
Self-focus Deep Embedding Model for Coarse-Grained Zero-Shot Classification. BICS (2019)
Yupeng Cao, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang
Improving Image Caption Performance with Linguistic Context. BICS (2019)
Yuanye Fang, Rui Zhang, Qiu-Feng Wang, Kaizhu Huang
Action Recognition in Videos with Temporal Segments Fusions. BICS (2019)
Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain
Generalized Adversarial Training in Riemannian Space. ICDM (2019)
Rami Ahmed, Kia Dashtipour, Mandar Gogate, Ali Raza, Rui Zhang, Kaizhu Huang, Ahmad Y. A. Hawalah, Ahsan Adeel, Amir Hussain
Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances. BICS (2019)
Jinlong Hong, Kaizhu Huang, Hai-Ning Liang, Xinheng Wang, Rui Zhang
Fine-Grained Image Classification with Object-Part Model. BICS (2019)
Xi Yang, Yuyao Yan, Kaizhu Huang, Rui Zhang
VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model. ICDM (2019)
Yu Shan, Dejun Xie, Rui Zhang
A Multi-Objective Optimization Model for Bike-Sharing. ICIT (2019)
Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas
A Novel Deep Density Model for Unsupervised Learning. Cogn. Comput. 11 (6) (2019)
Kaizhu Huang, Rui Zhang, Xiaobo Jin, Amir Hussain
Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery. Cogn. Comput. 10 (1) (2018)
Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain
Learning from Few Samples with Memory Network. Cogn. Comput. 10 (1) (2018)
Haochuan Jiang, Guanyu Yang, Kaizhu Huang, Rui Zhang
W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks. ICONIP (5) (2018)
Xi Yang, Kaizhu Huang, Rui Zhang, Amir Hussain
Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization. IEEE Trans. Emerg. Top. Comput. Intell. 2 (6) (2018)
Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems. Neurocomputing 312 (2018)
Kai Yao, Kaizhu Huang, Rui Zhang, Amir Hussain
Improving Deep Neural Network Performance with Kernelized Min-Max Objective. ICONIP (1) (2018)
Haochuan Jiang, Kaizhu Huang, Rui Zhang, Amir Hussain
Style Neutralization Generative Adversarial Classifier. BICS (2018)
Xi Yang, Kaizhu Huang, John Yannis Goulermas, Rui Zhang
Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model. Neural Process. Lett. 45 (3) (2017)
Haochuan Jiang, Kaizhu Huang, Rui Zhang
Field Support Vector Regression. ICONIP (1) (2017)
Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain
Improve Deep Learning with Unsupervised Objective. ICONIP (1) (2017)
Xi Yang, Kaizhu Huang, Rui Zhang
Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering. ICONIP (1) (2017)
Xi Yang, Kaizhu Huang, Rui Zhang, Amir Hussain
Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization. ICONIP (1) (2016)
Kaizhu Huang, Rui Zhang, Xu-Cheng Yin
Learning Imbalanced Classifiers Locally and Globally with One-Side Probability Machine. Neural Process. Lett. 41 (3) (2015)
Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas
Two-layer Mixture of Factor Analyzers with Joint Factor Loading. IJCNN (2015)
Rui Zhang, Shufei Zhang, Kaizhu Huang
A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks. ICONIP (3) (2014)
Xi Yang, Kaizhu Huang, Rui Zhang
Unsupervised Dimensionality Reduction for Gaussian Mixture Model. ICONIP (2) (2014)
Rui Zhang, Kaizhu Huang
One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally. ICONIP (2) (2013)
Shaoyan Zhang, Rui Zhang, Jianmin Jiang
A Performance Management System for Telecommunication Network Using AI Techniques. DepCoS-RELCOMEX (2008)
Rui Zhang, Gerry McAllister, Bryan W. Scotney, Sally I. McClean, Glen Houston
Combining Wavelet Analysis and Bayesian Networks for the Classification of Auditory Brainstem Response. IEEE Trans. Inf. Technol. Biomed. 10 (3) (2006)
Rui Zhang, Gerry McAllister, Bryan W. Scotney, Sally I. McClean, Glen Houston
Classification of the Auditory Brainstem Response (ABR) Using Wavelet Analysis and Bayesian Network. CBMS (2005)
Rui Zhang, Gerry McAllister, Bryan W. Scotney, Sally I. McClean, Glen Houston
Feature Extraction and Classification of the Auditory Brainstem Response Using Wavelet Analysis. KELSI (2004)