Rui Zhang

82 papers A* 8A 1B 2Journal 44Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
Lena-TRNN: Exploring energy flow for time series prediction.
Neural Networks
Penglei Gao, Rui Zhang, Xi Yang, Zhuang Qian, Kaizhu Huang
2026 J jnl
SynthVerse: A Large-Scale Diverse Synthetic Dataset for Point Tracking.
CoRR
Weiguang Zhao, Haoran Xu, Xingyu Miao, Qin Zhao, Rui Zhang, Kaizhu Huang, Ning Gao, Peizhou Cao, Mingze Sun, Mulin Yu, Tao Lu, Linning Xu, Junting Dong, Jiangmiao Pang
2026 J jnl
Tele-Catch: Adaptive Teleoperation for Dexterous Dynamic 3D Object Catching.
CoRR
Weiguang Zhao, Junting Dong, Rui Zhang, Kailin Li, Qin Zhao, Kaizhu Huang
2025 A* conf
BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis.
CVPR
Weiguang Zhao, Rui Zhang, Qiufeng Wang, Guangliang Cheng, Kaizhu Huang
2025 J jnl
BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis.
CoRR
Weiguang Zhao, Rui Zhang, Qiu-Feng Wang, Guangliang Cheng, Kaizhu Huang
2025 A conf
From 2D Images to 3D Model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion.
ICME
Weiguang Zhao, Chaolong Yang, Jianan Ye, Rui Zhang, Yuyao Yan, Xi Yang, Bin Dong, Amir Hussain, Kaizhu Huang
2025 J jnl
Open-Pose 3D zero-shot learning: Benchmark and challenges.
Neural Networks
Weiguang Zhao, Guanyu Yang, Rui Zhang, Chenru Jiang, Chaolong Yang, Yuyao Yan, Amir Hussain, Kaizhu Huang
2025 A* conf
Towards Training-Free Open-World Classification with 3D Generative Models.
ACM Multimedia
Xinzhe Xia, Weiguang Zhao, Yuyao Yan, Guanyu Yang, Rui Zhang, Kaizhu Huang, Xi Yang
2025 J jnl
Towards Training-Free Open-World Classification with 3D Generative Models.
CoRR
Xinzhe Xia, Weiguang Zhao, Yuyao Yan, Guanyu Yang, Rui Zhang, Kaizhu Huang, Xi Yang
2024 J jnl
Continuous Image Outpainting with Neural ODE.
ACM Trans. Multim. Comput. Commun. Appl.
Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang
2024 J jnl
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily With Edge Splitting.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingwei Guo, Kaizhu Huang, Rui Zhang, Xinping Yi
2024 J jnl
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables.
IEEE Trans. Cybern.
Penglei Gao, Xi Yang, Rui Zhang, Ping Guo, John Yannis Goulermas, Kaizhu Huang
2024 J jnl
Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning.
Neural Comput.
Guanyu Yang, Kaizhu Huang, Rui Zhang, Xi Yang
2024 J jnl
Learning Disentangled Graph Convolutional Networks Locally and Globally.
IEEE Trans. Neural Networks Learn. Syst.
Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang
2024 J jnl
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering.
CoRR
Jingwei Guo, Kaizhu Huang, Xinping Yi, Zixian Su, Rui Zhang
2024 J jnl
Towards Cross-device and Training-free Robotic Grasping in 3D Open World.
CoRR
Weiguang Zhao, Chenru Jiang, Chengrui Zhang, Jie Sun, Yuyao Yan, Rui Zhang, Kaizhu Huang
2024 J jnl
W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks.
CoRR
Haochuan Jiang, Guanyu Yang, Kaizhu Huang, Rui Zhang
2023 — conf
Cipher-Prompt: Towards a Safe Diffusion Model via Learning Cryptographic Prompts.
BICS
Sidong Jiang, Siyuan Wang, Rui Zhang, Xi Yang, Kaizhu Huang
2023 — conf
Decoupled Learning for Long-Tailed Oracle Character Recognition.
ICDAR (4)
Jing Li, Bin Dong, Qiu-Feng Wang, Lei Ding, Rui Zhang, Kaizhu Huang
2023 J jnl
Diff-OP3D: Bridging 2D Diffusion for Open Pose 3D Zero-Shot Classification.
CoRR
Weiguang Zhao, Guanyu Yang, Chaolong Yang, Chenru Jiang, Yuyao Yan, Rui Zhang, Kaizhu Huang
2023 J jnl
Diff-Oracle: Diffusion Model for Oracle Character Generation with Controllable Styles and Contents.
CoRR
Jing Li, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang, Siyuan Wang
2023 J jnl
Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction.
IEEE Trans. Knowl. Data Eng.
Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, John Yannis Goulermas
2023 J jnl
Generalized image outpainting with U-transformer.
Neural Networks
Penglei Gao, Xi Yang, Rui Zhang, John Yannis Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang
2023 A* conf
Graph Neural Networks with Diverse Spectral Filtering.
WWW
Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang
2023 J jnl
Graph Neural Networks with Diverse Spectral Filtering.
CoRR
Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang
2023 J jnl
Robust generative adversarial network.
Mach. Learn.
Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin Xiao, Yuan He, Canyi Lu
2023 A* conf
Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation.
ICCV
Zhiqiang Gao, Kaizhu Huang, Rui Zhang, Dawei Liu, Jieming Ma
2023 J jnl
Towards better long-tailed oracle character recognition with adversarial data augmentation.
Pattern Recognit.
Jing Li, Qiu-Feng Wang, Kaizhu Huang, Xi Yang, Rui Zhang, John Yannis Goulermas
2022 A* conf
Certifying Better Robust Generalization for Unsupervised Domain Adaptation.
ACM Multimedia
Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Chaoliang Zhong
2022 J jnl
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting.
CoRR
Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang
2022 J jnl
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables.
CoRR
Penglei Gao, Xi Yang, Kaizhu Huang, Rui Zhang, Ping Guo, John Yannis Goulermas
2022 J jnl
Generalised Image Outpainting with U-Transformer.
CoRR
Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, Yujie Geng
2022 — conf
Outpainting by Queries.
ECCV (23)
Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang
2022 J jnl
Outpainting by Queries.
CoRR
Kai Yao, Penglei Gao, Xi Yang, Kaizhu Huang, Jie Sun, Rui Zhang
2021 J jnl
Coarse-grained generalized zero-shot learning with efficient self-focus mechanism.
Neurocomputing
Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
2021 J jnl
Improving Model Robustness with Latent Distribution Locally and Globally.
CoRR
Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi
2021 J jnl
Improving generative adversarial networks with simple latent distributions.
Neural Comput. Appl.
Shufei Zhang, Kaizhu Huang, Zhuang Qian, Rui Zhang, Amir Hussain
2021 J jnl
LGD-GCN: Local and Global Disentangled Graph Convolutional Networks.
CoRR
Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang
2021 — conf
Mix-Up Augmentation for Oracle Character Recognition with Imbalanced Data Distribution.
ICDAR (1)
Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang
2021 J jnl
Style-Neutralized Pattern Classification Based on Adversarially Trained Upgraded U-Net.
Cogn. Comput.
Haochuan Jiang, Kaizhu Huang, Rui Zhang, Amir Hussain
2021 A* conf
Towards Better Robust Generalization with Shift Consistency Regularization.
ICML
Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi
2020 — conf
Adversarial Rectification Network for Scene Text Regularization.
ICONIP (2)
Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang
2020 J jnl
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction.
CoRR
Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang
2020 J jnl
Generative adversarial classifier for handwriting characters super-resolution.
Pattern Recognit.
Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang, Jimin Xiao, Rui Zhang
2020 J jnl
Improving deep neural network performance by integrating kernelized Min-Max objective.
Neurocomputing
Qiu-Feng Wang, Kai Yao, Rui Zhang, Amir Hussain, Kaizhu Huang
2020 — conf
Inductive Generalized Zero-Shot Learning with Adversarial Relation Network.
ECML/PKDD (2)
Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
2020 J jnl
Novel deep neural network based pattern field classification architectures.
Neural Networks
Kaizhu Huang, Shufei Zhang, Rui Zhang, Amir Hussain
2019 — conf
A Multi-Objective Optimization Model for Bike-Sharing.
ICIT
Yu Shan, Dejun Xie, Rui Zhang
2019 J jnl
A Novel Deep Density Model for Unsupervised Learning.
Cogn. Comput.
Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas
2019 — conf
Action Recognition in Videos with Temporal Segments Fusions.
BICS
Yuanye Fang, Rui Zhang, Qiu-Feng Wang, Kaizhu Huang
2019 — conf
Fine-Grained Image Classification with Object-Part Model.
BICS
Jinlong Hong, Kaizhu Huang, Hai-Ning Liang, Xinheng Wang, Rui Zhang
2019 A* conf
Generalized Adversarial Training in Riemannian Space.
ICDM
Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain
2019 J jnl
Generative Adversarial Classifier for Handwriting Characters Super-Resolution.
CoRR
Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Jimin Xiao, Rui Zhang
2019 — conf
Improving Disentanglement-Based Image-to-Image Translation with Feature Joint Block Fusion.
BICS
Zhejian Zhang, Rui Zhang, Qiu-Feng Wang, Kaizhu Huang
2019 — conf
Improving Image Caption Performance with Linguistic Context.
BICS
Yupeng Cao, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang
2019 J jnl
Improving Script Identification by Integrating Text Recognition Information.
Aust. J. Intell. Inf. Process. Syst.
Yupeng Cao, Jing Li, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang
2019 — conf
Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances.
BICS
Rami Ahmed, Kia Dashtipour, Mandar Gogate, Ali Raza, Rui Zhang, Kaizhu Huang, Ahmad Y. A. Hawalah, Ahsan Adeel, Amir Hussain
2019 — conf
PerSent 2.0: Persian Sentiment Lexicon Enriched with Domain-Specific Words.
BICS
Kia Dashtipour, Ali Raza, Alexander F. Gelbukh, Rui Zhang, Erik Cambria, Amir Hussain
2019 — conf
Self-focus Deep Embedding Model for Coarse-Grained Zero-Shot Classification.
BICS
Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
2019 — conf
SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions.
ICDM Workshops
Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Amir Hussain
2019 A* conf
VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model.
ICDM
Xi Yang, Yuyao Yan, Kaizhu Huang, Rui Zhang
2018 J jnl
A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems.
Neurocomputing
Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
2018 — conf
Improving Deep Neural Network Performance with Kernelized Min-Max Objective.
ICONIP (1)
Kai Yao, Kaizhu Huang, Rui Zhang, Amir Hussain
2018 J jnl
Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization.
IEEE Trans. Emerg. Top. Comput. Intell.
Xi Yang, Kaizhu Huang, Rui Zhang, Amir Hussain
2018 J jnl
Learning from Few Samples with Memory Network.
Cogn. Comput.
Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain
2018 J jnl
Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery.
Cogn. Comput.
Kaizhu Huang, Rui Zhang, Xiaobo Jin, Amir Hussain
2018 — conf
Style Neutralization Generative Adversarial Classifier.
BICS
Haochuan Jiang, Kaizhu Huang, Rui Zhang, Amir Hussain
2018 — conf
W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks.
ICONIP (5)
Haochuan Jiang, Guanyu Yang, Kaizhu Huang, Rui Zhang
2017 — conf
Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering.
ICONIP (1)
Xi Yang, Kaizhu Huang, Rui Zhang
2017 — conf
Field Support Vector Regression.
ICONIP (1)
Haochuan Jiang, Kaizhu Huang, Rui Zhang
2017 — conf
Improve Deep Learning with Unsupervised Objective.
ICONIP (1)
Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain
2017 J jnl
Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model.
Neural Process. Lett.
Xi Yang, Kaizhu Huang, John Yannis Goulermas, Rui Zhang
2016 — conf
Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization.
ICONIP (1)
Xi Yang, Kaizhu Huang, Rui Zhang, Amir Hussain
2015 J jnl
Learning Imbalanced Classifiers Locally and Globally with One-Side Probability Machine.
Neural Process. Lett.
Kaizhu Huang, Rui Zhang, Xu-Cheng Yin
2015 B conf
Two-layer Mixture of Factor Analyzers with Joint Factor Loading.
IJCNN
Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas
2014 — conf
A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks.
ICONIP (3)
Rui Zhang, Shufei Zhang, Kaizhu Huang
2014 — conf
Unsupervised Dimensionality Reduction for Gaussian Mixture Model.
ICONIP (2)
Xi Yang, Kaizhu Huang, Rui Zhang
2013 — conf
One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally.
ICONIP (2)
Rui Zhang, Kaizhu Huang
2008 — conf
A Performance Management System for Telecommunication Network Using AI Techniques.
DepCoS-RELCOMEX
Shaoyan Zhang, Rui Zhang, Jianmin Jiang
2006 J jnl
Combining Wavelet Analysis and Bayesian Networks for the Classification of Auditory Brainstem Response.
IEEE Trans. Inf. Technol. Biomed.
Rui Zhang, Gerry McAllister, Bryan W. Scotney, Sally I. McClean, Glen Houston
2005 B conf
Classification of the Auditory Brainstem Response (ABR) Using Wavelet Analysis and Bayesian Network.
CBMS
Rui Zhang, Gerry McAllister, Bryan W. Scotney, Sally I. McClean, Glen Houston
2004 — conf
Feature Extraction and Classification of the Auditory Brainstem Response Using Wavelet Analysis.
KELSI
Rui Zhang, Gerry McAllister, Bryan W. Scotney, Sally I. McClean, Glen Houston