Feature Extraction and Classification of the Auditory Brainstem Response Using Wavelet Analysis. - Rui Zhang 012; Gerry McAllister; Bryan W. Scotney; Sally I. McClean; Glen Houston (KELSI, 2004)

Classification of the Auditory Brainstem Response (ABR) Using Wavelet Analysis and Bayesian Network. - Rui Zhang 012; Gerry McAllister; Bryan W. Scotney; Sally I. McClean; Glen Houston (CBMS, 2005)

Combining Wavelet Analysis and Bayesian Networks for the Classification of Auditory Brainstem Response. - Rui Zhang 012; Gerry McAllister; Bryan W. Scotney; Sally I. McClean; Glen Houston (IEEE Trans. Inf. Technol. Biomed., 2006)

A Performance Management System for Telecommunication Network Using AI Techniques. - Shaoyan Zhang; Rui Zhang 012; Jianmin Jiang (DepCoS-RELCOMEX, 2008)

One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally. - Rui Zhang 012; Kaizhu Huang (ICONIP (2), 2013)

Unsupervised Dimensionality Reduction for Gaussian Mixture Model. - Xi Yang 008; Kaizhu Huang; Rui Zhang 012 (ICONIP (2), 2014)

A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks. - Rui Zhang 012; Shufei Zhang; Kaizhu Huang (ICONIP (3), 2014)

Two-layer Mixture of Factor Analyzers with Joint Factor Loading. - Xi Yang 008; Kaizhu Huang; Rui Zhang 012; John Yannis Goulermas (IJCNN, 2015)

Learning Imbalanced Classifiers Locally and Globally with One-Side Probability Machine. - Kaizhu Huang; Rui Zhang 012; Xu-Cheng Yin (Neural Process. Lett., 2015)

Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization. - Xi Yang 008; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (ICONIP (1), 2016)

Field Support Vector Regression. - Haochuan Jiang; Kaizhu Huang; Rui Zhang 012 (ICONIP (1), 2017)

Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering. - Xi Yang 008; Kaizhu Huang; Rui Zhang 012 (ICONIP (1), 2017)

Improve Deep Learning with Unsupervised Objective. - Shufei Zhang; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (ICONIP (1), 2017)

Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model. - Xi Yang 008; Kaizhu Huang; John Yannis Goulermas; Rui Zhang 012 (Neural Process. Lett., 2017)

Style Neutralization Generative Adversarial Classifier. - Haochuan Jiang; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (BICS, 2018)

W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks. - Haochuan Jiang; Guanyu Yang 002; Kaizhu Huang; Rui Zhang 012 (ICONIP (5), 2018)

Improving Deep Neural Network Performance with Kernelized Min-Max Objective. - Kai Yao; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (ICONIP (1), 2018)

Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery. - Kaizhu Huang; Rui Zhang 012; Xiaobo Jin; Amir Hussain 001 (Cogn. Comput., 2018)

Learning from Few Samples with Memory Network. - Shufei Zhang; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (Cogn. Comput., 2018)

A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems. - Xi Yang 008; Kaizhu Huang; Rui Zhang 012; John Yannis Goulermas; Amir Hussain 001 (Neurocomputing, 2018)

Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization. - Xi Yang 008; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances. - Rami Ahmed; Kia Dashtipour; Mandar Gogate; Ali Raza 004; Rui Zhang 012; Kaizhu Huang; Ahmad Y. A. Hawalah; Ahsan Adeel; Amir Hussain 001 (BICS, 2019)

Improving Image Caption Performance with Linguistic Context. - Yupeng Cao; Qiu-Feng Wang 001; Kaizhu Huang; Rui Zhang 012 (BICS, 2019)

PerSent 2.0: Persian Sentiment Lexicon Enriched with Domain-Specific Words. - Kia Dashtipour; Ali Raza 004; Alexander F. Gelbukh; Rui Zhang 012; Erik Cambria; Amir Hussain 001 (BICS, 2019)

Action Recognition in Videos with Temporal Segments Fusions. - Yuanye Fang; Rui Zhang 012; Qiu-Feng Wang 001; Kaizhu Huang (BICS, 2019)

Fine-Grained Image Classification with Object-Part Model. - Jinlong Hong; Kaizhu Huang; Hai-Ning Liang; Xinheng Wang 001; Rui Zhang 012 (BICS, 2019)

Self-focus Deep Embedding Model for Coarse-Grained Zero-Shot Classification. - Guanyu Yang 002; Kaizhu Huang; Rui Zhang 012; John Yannis Goulermas; Amir Hussain 001 (BICS, 2019)

Improving Disentanglement-Based Image-to-Image Translation with Feature Joint Block Fusion. - Zhejian Zhang; Rui Zhang 012; Qiu-Feng Wang 001; Kaizhu Huang (BICS, 2019)

VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model. - Xi Yang 008; Yuyao Yan; Kaizhu Huang; Rui Zhang 012 (ICDM, 2019)

Generalized Adversarial Training in Riemannian Space. - Shufei Zhang; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (ICDM, 2019)

SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions. - Shufei Zhang; Zhuang Qian; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (ICDM Workshops, 2019)

A Multi-Objective Optimization Model for Bike-Sharing. - Yu Shan; Dejun Xie; Rui Zhang 012 (ICIT, 2019)

Improving Script Identification by Integrating Text Recognition Information. - Yupeng Cao; Jing Li; Qiu-Feng Wang 001; Kaizhu Huang; Rui Zhang 012 (Aust. J. Intell. Inf. Process. Syst., 2019)

A Novel Deep Density Model for Unsupervised Learning. - Xi Yang 008; Kaizhu Huang; Rui Zhang 012; John Yannis Goulermas (Cogn. Comput., 2019)

Adversarial Rectification Network for Scene Text Regularization. - Jing Li; Qiu-Feng Wang 001; Rui Zhang 012; Kaizhu Huang (ICONIP (2), 2020)

Inductive Generalized Zero-Shot Learning with Adversarial Relation Network. - Guanyu Yang 002; Kaizhu Huang; Rui Zhang 012; John Yannis Goulermas; Amir Hussain 001 (ECML/PKDD (2), 2020)

Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction. - Penglei Gao; Xi Yang 008; Rui Zhang 012; Kaizhu Huang (CoRR, 2020)

Improving deep neural network performance by integrating kernelized Min-Max objective. - Qiu-Feng Wang 001; Kai Yao; Rui Zhang 012; Amir Hussain 001; Kaizhu Huang (Neurocomputing, 2020)

Novel deep neural network based pattern field classification architectures. - Kaizhu Huang; Shufei Zhang; Rui Zhang 012; Amir Hussain 001 (Neural Networks, 2020)

Generative adversarial classifier for handwriting characters super-resolution. - Zhuang Qian; Kaizhu Huang; Qiu-Feng Wang 001; Jimin Xiao; Rui Zhang 012 (Pattern Recognit., 2020)

Mix-Up Augmentation for Oracle Character Recognition with Imbalanced Data Distribution. - Jing Li; Qiu-Feng Wang 001; Rui Zhang 012; Kaizhu Huang (ICDAR (1), 2021)

Towards Better Robust Generalization with Shift Consistency Regularization. - Shufei Zhang; Zhuang Qian; Kaizhu Huang; Qiufeng Wang 001; Rui Zhang 012; Xinping Yi (ICML, 2021)

Style-Neutralized Pattern Classification Based on Adversarially Trained Upgraded U-Net. - Haochuan Jiang; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (Cogn. Comput., 2021)

LGD-GCN: Local and Global Disentangled Graph Convolutional Networks. - Jingwei Guo 001; Kaizhu Huang; Xinping Yi; Rui Zhang 012 (CoRR, 2021)

Improving Model Robustness with Latent Distribution Locally and Globally. - Zhuang Qian; Shufei Zhang; Kaizhu Huang; Qiufeng Wang 001; Rui Zhang 012; Xinping Yi (CoRR, 2021)

Coarse-grained generalized zero-shot learning with efficient self-focus mechanism. - Guanyu Yang 002; Kaizhu Huang; Rui Zhang 012; John Yannis Goulermas; Amir Hussain 001 (Neurocomputing, 2021)

Improving generative adversarial networks with simple latent distributions. - Shufei Zhang; Kaizhu Huang; Zhuang Qian; Rui Zhang 012; Amir Hussain 001 (Neural Comput. Appl., 2021)

Outpainting by Queries. - Kai Yao; Penglei Gao; Xi Yang 008; Jie Sun 024; Rui Zhang 012; Kaizhu Huang (ECCV (23), 2022)

Certifying Better Robust Generalization for Unsupervised Domain Adaptation. - Zhiqiang Gao; Shufei Zhang; Kaizhu Huang; Qiufeng Wang 001; Rui Zhang 012; Chaoliang Zhong (ACM Multimedia, 2022)

Generalised Image Outpainting with U-Transformer. - Penglei Gao; Xi Yang 008; Rui Zhang 012; Kaizhu Huang; Yujie Geng (CoRR, 2022)

Cipher-Prompt: Towards a Safe Diffusion Model via Learning Cryptographic Prompts. - Sidong Jiang; Siyuan Wang; Rui Zhang 012; Xi Yang 008; Kaizhu Huang (BICS, 2023)

Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation. - Zhiqiang Gao; Kaizhu Huang; Rui Zhang 012; Dawei Liu 001; Jieming Ma (ICCV, 2023)

Decoupled Learning for Long-Tailed Oracle Character Recognition. - Jing Li; Bin Dong 003; Qiu-Feng Wang 001; Lei Ding 012; Rui Zhang 012; Kaizhu Huang (ICDAR (4), 2023)

Graph Neural Networks with Diverse Spectral Filtering. - Jingwei Guo 001; Kaizhu Huang; Xinping Yi; Rui Zhang 012 (WWW, 2023)

Diff-OP3D: Bridging 2D Diffusion for Open Pose 3D Zero-Shot Classification. - Weiguang Zhao; Guanyu Yang 002; Chaolong Yang; Chenru Jiang; Yuyao Yan; Rui Zhang 012; Kaizhu Huang (CoRR, 2023)

Diff-Oracle: Diffusion Model for Oracle Character Generation with Controllable Styles and Contents. - Jing Li; Qiu-Feng Wang 001; Kaizhu Huang; Rui Zhang 012; Siyuan Wang (CoRR, 2023)

Generalized image outpainting with U-transformer. - Penglei Gao; Xi Yang 008; Rui Zhang 012; John Yannis Goulermas; Yujie Geng; Yuyao Yan; Kaizhu Huang (Neural Networks, 2023)

Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction. - Penglei Gao; Xi Yang 008; Rui Zhang 012; Kaizhu Huang; John Yannis Goulermas (IEEE Trans. Knowl. Data Eng., 2023)

Towards better long-tailed oracle character recognition with adversarial data augmentation. - Jing Li; Qiu-Feng Wang 001; Kaizhu Huang; Xi Yang 008; Rui Zhang 012; John Yannis Goulermas (Pattern Recognit., 2023)

Robust generative adversarial network. - Shufei Zhang; Zhuang Qian; Kaizhu Huang; Rui Zhang 012; Jimin Xiao; Yuan He; Canyi Lu (Mach. Learn., 2023)

Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering. - Jingwei Guo 001; Kaizhu Huang; Xinping Yi; Zixian Su; Rui Zhang 012 (CoRR, 2024)

Towards Cross-device and Training-free Robotic Grasping in 3D Open World. - Weiguang Zhao; Chenru Jiang; Chengrui Zhang; Jie Sun 024; Yuyao Yan; Rui Zhang 012; Kaizhu Huang (CoRR, 2024)

Learning Disentangled Graph Convolutional Networks Locally and Globally. - Jingwei Guo 001; Kaizhu Huang; Xinping Yi; Rui Zhang 012 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning. - Guanyu Yang 002; Kaizhu Huang; Rui Zhang 012; Xi Yang 008 (Neural Comput., 2024)

Continuous Image Outpainting with Neural ODE. - Penglei Gao; Xi Yang 008; Rui Zhang 012; Kaizhu Huang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables. - Penglei Gao; Xi Yang 008; Rui Zhang 012; Ping Guo 002; John Yannis Goulermas; Kaizhu Huang (IEEE Trans. Cybern., 2024)

ES-GNN: Generalizing Graph Neural Networks Beyond Homophily With Edge Splitting. - Jingwei Guo 001; Kaizhu Huang; Rui Zhang 012; Xinping Yi (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis. - Weiguang Zhao; Rui Zhang 012; Qiufeng Wang 001; Guangliang Cheng; Kaizhu Huang (CVPR, 2025)

Open-Pose 3D zero-shot learning: Benchmark and challenges. - Weiguang Zhao; Guanyu Yang 002; Rui Zhang 012; Chenru Jiang; Chaolong Yang; Yuyao Yan; Amir Hussain 001; Kaizhu Huang (Neural Networks, 2025)

Towards Training-Free Open-World Classification with 3D Generative Models. - Xinzhe Xia; Weiguang Zhao; Yuyao Yan; Guanyu Yang 002; Rui Zhang 012; Kaizhu Huang; Xi Yang 008 (CoRR, 2025)