Yong Xu

According to our database, Yong Xu authored at least 331 papers between 2003 and 2024.

Collaborative distances:

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

2024

Information Recovery-Driven Deep Incomplete Multiview Clustering Network.

Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu

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

Cross-Modal Vertical Federated Learning for MRI Reconstruction.

Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yong Xu, Yuexiang Li, Yefeng Zheng

IEEE J. Biomed. Health Informatics, November, 2024

Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution.

Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao

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

Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views.

Jie Wen, Chengliang Liu, Shijie Deng, Yicheng Liu, Lunke Fei, Ke Yan, Yong Xu

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

Projective Incomplete Multi-View Clustering.

Shijie Deng, Jie Wen, Chengliang Liu, Ke Yan, Gehui Xu, Yong Xu

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

Learning With Noisy Labels by Semantic and Feature Space Collaboration.

Han Lin, Yingjian Li, Zheng Zhang, Lei Zhu, Yong Xu

IEEE Trans. Circuits Syst. Video Technol., August, 2024

Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer.

Chao Huang, Chengliang Liu, Jie Wen, Lian Wu, Yong Xu, Qiuping Jiang, Yaowei Wang

IEEE Trans. Cybern., May, 2024

Graph Regularized and Feature Aware Matrix Factorization for Robust Incomplete Multi-View Clustering.

Jie Wen, Gehui Xu, Zhanyan Tang, Wei Wang, Lunke Fei, Yong Xu

IEEE Trans. Circuits Syst. Video Technol., May, 2024

Video-Based Fall Detection Using Human Pose and Constrained Generative Adversarial Network.

Lian Wu, Chao Huang, Lunke Fei, Shuping Zhao, Jianchuan Zhao, Zhongwei Cui, Yong Xu

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Multi-Contrast Complementary Learning for Accelerated MR Imaging.

Bangjun Li, Weifeng Hu, Chun-Mei Feng, Yujun Li, Zhi Liu, Yong Xu

IEEE J. Biomed. Health Informatics, March, 2024

Discriminative Regression With Adaptive Graph Diffusion.

Jie Wen, Shijie Deng, Lunke Fei, Zheng Zhang, Bob Zhang, Zhao Zhang, Yong Xu

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

ISFB-GAN: Interpretable semantic face beautification with generative adversarial network.

Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, Yuan Xie, Yahan Sun, David Zhang

Expert Syst. Appl., February, 2024

A deep convolutional neural network for diabetic retinopathy detection via mining local and long-range dependence.

Xiaoling Luo, Wei Wang, Yong Xu, Zhihui Lai, Xiaopeng Jin, Bob Zhang, David Zhang

CAAI Trans. Intell. Technol., February, 2024

Enhanced Spatial Feature Learning for Weakly Supervised Object Detection.

Zhihao Wu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li, David Zhang

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

Mask-guided multiscale feature aggregation network for hand gesture recognition.

Hao Liang, Lunke Fei, Shuping Zhao, Jie Wen, Shaohua Teng, Yong Xu

Pattern Recognit., January, 2024

Multi-view Instance Attention Fusion Network for classification.

Jinxing Li, Chuhao Zhou, Xiaoqiang Ji, Mu Li, Guangming Lu, Yong Xu, David Zhang

Inf. Fusion, January, 2024

Fine-Grained Representation Alignment for Zero-Shot Domain Adaptation.

Yabo Liu, Jinghua Wang, Sheng-hua Zhong, Lianyang Ma, Yong Xu

IEEE Trans. Multim., 2024

CRADA: Cross Domain Object Detection With Cyclic Reconstruction and Decoupling Adaptation.

Yabo Liu, Jinghua Wang, Weijia Wang, Yu Hu, Yaowei Wang, Yong Xu

IEEE Trans. Multim., 2024

LMEye: An Interactive Perception Network for Large Language Models.

Yunxin Li, Baotian Hu, Xinyu Chen, Lin Ma, Yong Xu, Min Zhang

IEEE Trans. Multim., 2024

Misclassification in Weakly Supervised Object Detection.

Zhihao Wu, Yong Xu, Jian Yang, Xuelong Li

IEEE Trans. Image Process., 2024

Complete Region of Interest for Unconstrained Palmprint Recognition.

Le Su, Lunke Fei, Bob Zhang, Shuping Zhao, Jie Wen, Yong Xu

IEEE Trans. Image Process., 2024

MLFA: Toward Realistic Test Time Adaptive Object Detection by Multi-Level Feature Alignment.

Yabo Liu, Jinghua Wang, Chao Huang, Yiling Wu, Yong Xu, Xiaochun Cao

IEEE Trans. Image Process., 2024

Learning Content-Weighted Pseudocylindrical Representation for 360° Image Compression.

Mu Li, Youneng Bao, Xiaohang Sui, Jinxing Li, Guangming Lu, Yong Xu

IEEE Trans. Image Process., 2024

LGCNet: A Cloud Detection Method in Remote Sensing Images Using Local and Global Semantics.

Chen Luo, Shanshan Feng, Huaibin Wang, Baoquan Zhang, Pengjuan Yao, Chuyao Luo, Yunming Ye, Yong Xu, Xutao Li, Hao Fang

IEEE Trans. Geosci. Remote. Sens., 2024

MixingMask: A contour-aware approach for joint object detection and instance segmentation.

Wenzhe Ouyang, Zenglin Xu, Jing Xu, Qifan Wang, Yong Xu

Pattern Recognit., 2024

AMANet: An Adaptive Memory Attention Network for video cloud detection.

Chen Luo, Shanshan Feng, Yingling Quan, Yunming Ye, Yong Xu, Xutao Li, Baoquan Zhang

Pattern Recognit., 2024

Omnidirectional image super-resolution via position attention network.

Xin Wang, Shiqi Wang, Jinxing Li, Mu Li, Jinkai Li, Yong Xu

Neural Networks, 2024

Self-supervised 3D Point Cloud Completion via Multi-view Adversarial Learning.

Lintai Wu, Xianjing Cheng, Junhui Hou, Yong Xu, Huanqiang Zeng

CoRR, 2024

3D Shape Completion on Unseen Categories: A Weakly-supervised Approach.

Lintai Wu, Junhui Hou, Linqi Song, Yong Xu

CoRR, 2024

Geometric prior guided hybrid deep neural network for facial beauty analysis.

Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, David Zhang

CAAI Trans. Intell. Technol., 2024

A Faster Fire Detection Network with Global Information Awareness.

Jinrong Cui, Haosen Sun, Min Zhao, Ciwei Kuang, Yong Xu

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition.

Yicheng Liu, Jie Wen, Chengliang Liu, Xiaozhao Fang, Zuoyong Li, Yong Xu, Zheng Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling.

Chengliang Liu, Gehui Xu, Jie Wen, Yabo Liu, Chao Huang, Yong Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering.

Jie Wen, Shijie Deng, Waikeung Wong, Guoqing Chao, Chao Huang, Lunke Fei, Yong Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unsupervised Sign Language Translation and Generation.

Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation.

QiHao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification.

Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Toward Efficient Palmprint Feature Extraction by Learning a Single-Layer Convolution Network.

Lunke Fei, Shuping Zhao, Wei Jia, Bob Zhang, Jie Wen, Yong Xu

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Self-Supervised Attentive Generative Adversarial Networks for Video Anomaly Detection.

Chao Huang, Jie Wen, Yong Xu, Qiuping Jiang, Jian Yang, Yaowei Wang, David Zhang

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Single image denoising with a feature-enhanced network.

Ruibin Zhuge, Jinghua Wang, Zenglin Xu, Yong Xu

Neural Networks, November, 2023

A human-like action learning process: Progressive pose generation for motion prediction.

Jinkai Li, Jinghua Wang, Ciwei Kuang, Lian Wu, Xin Wang, Yong Xu

Knowl. Based Syst., November, 2023

Multimodal Transformer for Accelerated MR Imaging.

Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu

IEEE Trans. Medical Imaging, October, 2023

Collaborative representation induced broad learning model for classification.

Qi Zhang, Jianhang Zhou, Yong Xu, Bob Zhang

Appl. Intell., October, 2023

Learning Spectrum-Invariance Representation for Cross-Spectral Palmprint Recognition.

Lunke Fei, Wai Keung Wong, Shuping Zhao, Jie Wen, Jian Zhu, Yong Xu

IEEE Trans. Syst. Man Cybern. Syst., June, 2023

Learning efficient facial landmark model for human attractiveness analysis.

Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, David Zhang

Pattern Recognit., June, 2023

Two-view attention-guided convolutional neural network for mammographic image classification.

Lilei Sun, Jie Wen, Junqian Wang, Yong Zhao, Bob Zhang, Jian Wu, Yong Xu

CAAI Trans. Intell. Technol., June, 2023

Class-guided human motion prediction via multi-spatial-temporal supervision.

Jinkai Li, Honghu Pan, Lian Wu, Chao Huang, Xiaoling Luo, Yong Xu

Neural Comput. Appl., May, 2023

A Survey on Incomplete Multiview Clustering.

Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li

IEEE Trans. Syst. Man Cybern. Syst., 2023

Joint Augmented and Compressed Dictionaries for Robust Image Classification.

Shaoning Zeng, Yunbo Rao, Bob Zhang, Yong Xu

ACM Trans. Multim. Comput. Commun. Appl., 2023

Multiple Instance Detection Networks With Adaptive Instance Refinement.

Zhihao Wu, Jie Wen, Yong Xu, Jian Yang, David Zhang

IEEE Trans. Multim., 2023

A Two-Level Rectification Attention Network for Scene Text Recognition.

Lintai Wu, Yong Xu, Junhui Hou, C. L. Philip Chen, Cheng-Lin Liu

IEEE Trans. Multim., 2023

Localized Sparse Incomplete Multi-View Clustering.

Chengliang Liu, Zhihao Wu, Jie Wen, Yong Xu, Chao Huang

IEEE Trans. Multim., 2023

Specificity-Preserving Federated Learning for MR Image Reconstruction.

Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu

IEEE Trans. Medical Imaging, 2023

Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss.

Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li

IEEE Trans. Image Process., 2023

From Global to Local: Multi-Patch and Multi-Scale Contrastive Similarity Learning for Unsupervised Defocus Blur Detection.

Jinxing Li, Beicheng Liang, Xiangwei Lu, Mu Li, Guangming Lu, Yong Xu

IEEE Trans. Image Process., 2023

Zero-Shot Camouflaged Object Detection.

Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang

IEEE Trans. Image Process., 2023

TRCDNet: A Transformer Network for Video Cloud Detection.

Chen Luo, Shanshan Feng, Yingling Quan, Yunming Ye, Xutao Li, Yong Xu, Baoquan Zhang, Zhihao Chen

IEEE Trans. Geosci. Remote. Sens., 2023

PreTP-Stack: Prediction of Therapeutic Peptides Based on the Stacked Ensemble Learing.

Ke Yan, Hongwu Lv, Jie Wen, Yichen Guo, Yong Xu, Bin Liu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

A Cognitive-Driven Ordinal Preservation for Multimodal Imbalanced Brain Disease Diagnosis.

Qi Zhu, Ting Zhu, Rui Zhang, Haizhou Ye, Kai Sun, Yong Xu, Daoqiang Zhang

IEEE Trans. Cogn. Dev. Syst., 2023

Robust fall detection in video surveillance based on weakly supervised learning.

Lian Wu, Chao Huang, Shuping Zhao, Jinkai Li, Jianchuan Zhao, Zhongwei Cui, Zhen Yu, Yong Xu, Min Zhang

Neural Networks, 2023

Cross-Modal Vertical Federated Learning for MRI Reconstruction.

Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yuexiang Li, Yong Xu, Yefeng Zheng

CoRR, 2023

Information Recovery-Driven Deep Incomplete Multi-view Clustering Network.

Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu

CoRR, 2023

Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification.

Chengliang Liu, Jie Wen, Yong Xu, Liqiang Nie, Min Zhang

CoRR, 2023

RV-ESA: A novel computer-aided elastic shape analysis system for retinal vessels in diabetic retinopathy.

Xiaoling Luo, Honggang Zhang, Jingyong Su, Wai Keung Wong, Jinkai Li, Yong Xu

Comput. Biol. Medicine, 2023

Salient and consensus representation learning based incomplete multiview clustering.

Shuping Zhao, Zhongwei Cui, Lian Wu, Yong Xu, Yu Zuo, Lunke Fei

Appl. Intell., 2023

Vehicle re-identification based on keypoint segmentation of original image.

Zhijun Hu, Yong Xu, Raja Soosaimarian Peter Raj, Xian Jing Cheng, Lilei Sun, Lian Wu

Appl. Intell., 2023

Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning.

Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Video-based Visible-Infrared Person Re-Identification via Style Disturbance Defense and Dual Interaction.

Chuhao Zhou, Jinxing Li, Huafeng Li, Guangming Lu, Yong Xu, Min Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Localized and Balanced Efficient Incomplete Multi-view Clustering.

Jie Wen, Gehui Xu, Chengliang Liu, Lunke Fei, Chao Huang, Wei Wang, Yong Xu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering.

Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection.

Yabo Liu, Jinghua Wang, Chao Huang, Yaowei Wang, Yong Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network.

Xiaoling Luo, Chengliang Liu, Waikeung Wong, Jie Wen, Xiaopeng Jin, Yong Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers.

Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification.

Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Breast mass classification based on supervised contrastive learning and multi-view consistency penalty on mammography.

Lilei Sun, Jie Wen, Junqian Wang, Zheng Zhang, Yong Zhao, Guiying Zhang, Yong Xu

IET Biom., November, 2022

Asymmetric CNN for Image Superresolution.

Chunwei Tian, Yong Xu, Wangmeng Zuo, Chia-Wen Lin, David Zhang

IEEE Trans. Syst. Man Cybern. Syst., 2022

Cross-Domain Recognition via Projective Cross-Reconstruction.

Xiaozhao Fang, Lin Jiang, Na Han, Weijun Sun, Yong Xu, Shengli Xie

IEEE Trans. Syst. Man Cybern. Syst., 2022

Jointly Heterogeneous Palmprint Discriminant Feature Learning.

Lunke Fei, Bob Zhang, Yong Xu, Chunwei Tian, Imad Rida, David Zhang

IEEE Trans. Neural Networks Learn. Syst., 2022

Deformable Template Network (DTN) for Object Detection.

Shuai Wu, Yong Xu, Bob Zhang, Jian Yang, David Zhang

IEEE Trans. Multim., 2022

Joint Specifics and Consistency Hash Learning for Large-Scale Cross-Modal Retrieval.

Jianyang Qin, Lunke Fei, Zheng Zhang, Jie Wen, Yong Xu, David Zhang

IEEE Trans. Image Process., 2022

Abnormal Event Detection Using Deep Contrastive Learning for Intelligent Video Surveillance System.

Chao Huang, Zhihao Wu, Jie Wen, Yong Xu, Qiuping Jiang, Yaowei Wang

IEEE Trans. Ind. Informatics, 2022

Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification.

Shaoning Zeng, Bob Zhang, Jianping Gou, Yong Xu

IEEE Trans. Cybern., 2022

Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual Anomaly Detection.

Chao Huang, Zehua Yang, Jie Wen, Yong Xu, Qiuping Jiang, Jian Yang, Yaowei Wang

IEEE Trans. Cybern., 2022

Dynamic Double Classifiers Approximation for Cross-Domain Recognition.

Xiaozhao Fang, Na Han, Guoxu Zhou, Shaohua Teng, Yong Xu, Shengli Xie

IEEE Trans. Cybern., 2022

Dual Distance Center Loss: The Improved Center Loss That Can Run Without the Combination of Softmax Loss, an Application for Vehicle Re-Identification and Person Re-Identification.

Zhijun Hu, Yong Xu, Raja Soosaimarian Peter Raj, Guanghai Liu, Jie Wen, Lilei Sun, Lian Wu, Xian Jing Cheng

IEEE Trans. Comput. Soc. Syst., 2022

Weakly Supervised Video Anomaly Detection via Transformer-Enabled Temporal Relation Learning.

Dasheng Zhang, Chao Huang, Chengliang Liu, Yong Xu

IEEE Signal Process. Lett., 2022

Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction.

Xiaohuan Lu, Jiang Long, Jie Wen, Lunke Fei, Bob Zhang, Yong Xu

Pattern Recognit., 2022

Local expansion moves for stereo matching based on random sample consensus confidence.

Haiwei Sang, Zuliu Yang, Yong Xu, Xianjing Cheng, Weicheng Xiong, Yong Zhao

J. Electronic Imaging, 2022

Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion.

Lintai Wu, Qijian Zhang, Junhui Hou, Yong Xu

CoRR, 2022

Prompt-driven efficient Open-set Semi-supervised Learning.

Haoran Li, Chun-Mei Feng, Tao Zhou, Yong Xu, Xiaojun Chang

CoRR, 2022

A Survey on Incomplete Multi-view Clustering.

Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li

CoRR, 2022

Global-Supervised Contrastive Loss and View-Aware-Based Post-Processing for Vehicle Re-Identification.

Zhijun Hu, Yong Xu, Jie Wen, Xian Jing Cheng, Zaijun Zhang, Lilei Sun, Yaowei Wang

CoRR, 2022

Pixel-Level Anomaly Detection via Uncertainty-aware Prototypical Transformer.

Chao Huang, Chengliang Liu, Zheng Zhang, Zhihao Wu, Jie Wen, Qiuping Jiang, Yong Xu

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

Hierarchical Graph Embedded Pose Regularity Learning via Spatio-Temporal Transformer for Abnormal Behavior Detection.

Chao Huang, Yabo Liu, Zheng Zhang, Chengliang Liu, Jie Wen, Yong Xu, Yaowei Wang

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

Deep Object Detection with Example Attribute Based Prediction Modulation.

Zhihao Wu, Chengliang Liu, Chao Huang, Jie Wen, Yong Xu

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Harmonization Shared Autoencoder Gaussian Process Latent Variable Model With Relaxed Hamming Distance.

Jinxing Li, Bob Zhang, Guangming Lu, Yong Xu, Feng Wu, David Zhang

IEEE Trans. Neural Networks Learn. Syst., 2021

Adaptive Graph Completion Based Incomplete Multi-View Clustering.

Jie Wen, Ke Yan, Zheng Zhang, Yong Xu, Junqian Wang, Lunke Fei, Bob Zhang

IEEE Trans. Multim., 2021

Coarse-to-Fine CNN for Image Super-Resolution.

Chunwei Tian, Yong Xu, Wangmeng Zuo, Bob Zhang, Lunke Fei, Chia-Wen Lin

IEEE Trans. Multim., 2021

Fast and Robust Dictionary-based Classification for Image Data.

Shaoning Zeng, Bob Zhang, Jianping Gou, Yong Xu, Wei Huang

ACM Trans. Knowl. Discov. Data, 2021

Layer-Output Guided Complementary Attention Learning for Image Defocus Blur Detection.

Jinxing Li, Dandan Fan, Lingxiao Yang, Shuhang Gu, Guangming Lu, Yong Xu, David Zhang

IEEE Trans. Image Process., 2021

Online Learning-Based Multi-Stage Complexity Control for Live Video Coding.

Chao Huang, Zongju Peng, Yong Xu, Fen Chen, Qiuping Jiang, Yun Zhang, Gangyi Jiang, Yo-Sung Ho

IEEE Trans. Image Process., 2021

Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data.

Na Yu, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Yong Xu

IEEE Trans. Cybern., 2021

Illuminance Compensation and Texture Enhancement via the Hodge Decomposition.

Jian Wu, Bob Zhang, Yong Xu, David Zhang

IEEE Trans. Circuits Syst. Video Technol., 2021

Protein Fold Recognition Based on Auto-Weighted Multi-View Graph Embedding Learning Model.

Ke Yan, Jie Wen, Yong Xu, Bin Liu

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores.

Ke Yan, Jie Wen, Jin-Xing Liu, Yong Xu, Bin Liu

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Triple-Type Feature Extraction for Palmprint Recognition.

Lian Wu, Yong Xu, Zhongwei Cui, Yu Zuo, Shuping Zhao, Lunke Fei

Sensors, 2021

MVDRNet: Multi-view diabetic retinopathy detection by combining DCNNs and attention mechanisms.

Xiaoling Luo, Zuhui Pu, Yong Xu, Wai Keung Wong, Jingyong Su, Xiaoyan Dou, Baikang Ye, Jiying Hu, Lisha Mou

Pattern Recognit., 2021

Designing and training of a dual CNN for image denoising.

Chunwei Tian, Yong Xu, Wangmeng Zuo, Bo Du, Chia-Wen Lin, David Zhang

Knowl. Based Syst., 2021

Asymmetric Gaussian Process multi-view learning for visual classification.

Jinxing Li, Zhaoqun Li, Guangming Lu, Yong Xu, Bob Zhang, David Zhang

Inf. Fusion, 2021

MLDH-Fold: Protein fold recognition based on multi-view low-rank modeling.

Ke Yan, Jie Wen, Yong Xu, Bin Liu

Neurocomputing, 2021

MultiFace: A generic training mechanism for boosting face recognition performance.

Jing Xu, Tszhang Guo, Yong Xu, Zenglin Xu, Kun Bai

Neurocomputing, 2021

Brain MRI super-resolution using coupled-projection residual network.

Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Xuelong Li

Neurocomputing, 2021

Specificity-Preserving Federated Learning for MR Image Reconstruction.

Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Yong Xu, Ling Shao

CoRR, 2021

Multi-modal Aggregation Network for Fast MR Imaging.

Chun-Mei Feng, Huazhu Fu, Tianfei Zhou, Yong Xu, Ling Shao, David Zhang

CoRR, 2021

Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution.

Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao

CoRR, 2021

Accelerated Multi-Modal MR Imaging with Transformers.

Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao

CoRR, 2021

Dual-Stream Reciprocal Disentanglement Learning for Domain Adaption Person Re-Identification.

Huafeng Li, Kaixiong Xu, Jinxing Li, Guangming Lu, Yong Xu, Zhengtao Yu, David Zhang

CoRR, 2021

DONet: Dual-Octave Network for Fast MR Image Reconstruction.

Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao

CoRR, 2021

Asymmetric CNN for image super-resolution.

Chunwei Tian, Yong Xu, Wangmeng Zuo, Chia-Wen Lin, David Zhang

CoRR, 2021

iCircDA-LTR: identification of circRNA-disease associations based on Learning to Rank.

Hang Wei, Yong Xu, Bin Liu

Bioinform., 2021

iPiDi-PUL: identifying Piwi-interacting RNA-disease associations based on positive unlabeled learning.

Hang Wei, Yong Xu, Bin Liu

Briefings Bioinform., 2021

Targeted Attack and Defense for Deep Hashing.

Xunguang Wang, Zheng Zhang, Guangming Lu, Yong Xu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Task Transformer Network for Joint MRI Reconstruction and Super-Resolution.

Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multi-contrast MRI Super-Resolution via a Multi-stage Integration Network.

Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Structural Deep Incomplete Multi-view Clustering Network.

Jie Wen, Zhihao Wu, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction.

Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring.

Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, Yong Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Relaxed Asymmetric Deep Hashing Learning: Point-to-Angle Matching.

Jinxing Li, Bob Zhang, Guangming Lu, Jane You, Yong Xu, Feng Wu, David Zhang

IEEE Trans. Neural Networks Learn. Syst., 2020

Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation.

Hongliang Yan, Zhetao Li, Qilong Wang, Peihua Li, Yong Xu, Wangmeng Zuo

IEEE Trans. Multim., 2020

DRPL: Deep Regression Pair Learning for Multi-Focus Image Fusion.

Jinxing Li, Xiaobao Guo, Guangming Lu, Bob Zhang, Yong Xu, Feng Wu, David Zhang

IEEE Trans. Image Process., 2020

Incomplete Multiview Spectral Clustering With Adaptive Graph Learning.

Jie Wen, Yong Xu, Hong Liu

IEEE Trans. Cybern., 2020

DSN: A New Deformable Subnetwork for Object Detection.

Shuai Wu, Yong Xu

IEEE Trans. Circuits Syst. Video Technol., 2020

Double Relaxed Regression for Image Classification.

Na Han, Jigang Wu, Xiaozhao Fang, Wai Keung Wong, Yong Xu, Jian Yang, Xuelong Li

IEEE Trans. Circuits Syst. Video Technol., 2020

Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition.

Lunke Fei, Bob Zhang, Yong Xu, Di Huang, Wei Jia, Jie Wen

IEEE Trans. Circuits Syst. Video Technol., 2020

Pixel re-representations for better classification of images.

Junqian Wang, Hanyu Zhang, Peiyi Han, Chuanyi Liu, Yong Xu

Pattern Recognit. Lett., 2020

Image decomposition based matrix regression with applications to robust face recognition.

Jianjun Qian, Jian Yang, Yong Xu, Jin Xie, Zhihui Lai, Bob Zhang

Pattern Recognit., 2020

Image denoising using deep CNN with batch renormalization.

Chunwei Tian, Yong Xu, Wangmeng Zuo

Neural Networks, 2020

Attention-guided CNN for image denoising.

Chunwei Tian, Yong Xu, Zuoyong Li, Wangmeng Zuo, Lunke Fei, Hong Liu

Neural Networks, 2020

Deep learning on image denoising: An overview.

Chunwei Tian, Lunke Fei, Wenxian Zheng, Yong Xu, Wangmeng Zuo, Chia-Wen Lin

Neural Networks, 2020

Lightweight image super-resolution with enhanced CNN.

Chunwei Tian, Ruibin Zhuge, Zhihao Wu, Yong Xu, Wangmeng Zuo, Chen Chen, Chia-Wen Lin

Knowl. Based Syst., 2020

Tongue Image Alignment via Conformal Mapping for Disease Detection.

Jian Wu, Bob Zhang, Yong Xu, David Zhang

IEEE Access, 2020

Improving Whole-Heart CT Image Segmentation by Attention Mechanism.

Wei Wang, Chengqin Ye, Shanzhuo Zhang, Yong Xu, Kuanquan Wang

IEEE Access, 2020

DIMC-net: Deep Incomplete Multi-view Clustering Network.

Jie Wen, Zheng Zhang, Zhao Zhang, Zhihao Wu, Lunke Fei, Yong Xu, Bob Zhang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network.

Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Dedge-AGMNet: An Effective Stereo Matching Network Optimized by Depth Edge Auxiliary Task.

Weida Yang, Xindong Ai, Zuliu Yang, Yong Xu, Yong Zhao

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data.

Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng

IEEE Trans. Neural Networks Learn. Syst., 2019

A Local Mean Representation-based <i>K</i>-Nearest Neighbor Classifier.

Jianping Gou, Wenmo Qiu, Zhang Yi, Yong Xu, Qirong Mao, Yongzhao Zhan

ACM Trans. Intell. Syst. Technol., 2019

Learning Discriminant Direction Binary Palmprint Descriptor.

Lunke Fei, Bob Zhang, Yong Xu, Zhenhua Guo, Jie Wen, Wei Jia

IEEE Trans. Image Process., 2019

Robust Sparse Linear Discriminant Analysis.

Jie Wen, Xiaozhao Fang, Jinrong Cui, Lunke Fei, Ke Yan, Yan Chen, Yong Xu

IEEE Trans. Circuits Syst. Video Technol., 2019

Multiple vector representations of images and robust dictionary learning.

Yong Xu, Zhengming Li, Chunwei Tian, Jian Yang

Pattern Recognit. Lett., 2019

Combining dissimilarity measures for image classification.

Chuanyi Liu, Junqian Wang, Shaoming Duan, Yong Xu

Pattern Recognit. Lett., 2019

Nesting-structured nuclear norm minimization for spatially correlated matrix variate.

Lei Luo, Jian Yang, Yigong Zhang, Yong Xu, Heng Huang

Pattern Recognit., 2019

Multi-resolution dictionary learning for face recognition.

Xiaoling Luo, Yong Xu, Jian Yang

Pattern Recognit., 2019

Precision direction and compact surface type representation for 3D palmprint identification.

Lunke Fei, Bob Zhang, Yong Xu, Wei Jia, Jie Wen, Jigang Wu

Pattern Recognit., 2019

A general moving detection method using dual-target nonparametric background model.

Zuofeng Zhong, Jiajun Wen, Bob Zhang, Yong Xu

Knowl. Based Syst., 2019

Coupled-Projection Residual Network for MRI Super-Resolution.

Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Heng Kong, Ling Shao

CoRR, 2019

Robust Classification with Sparse Representation Fusion on Diverse Data Subsets.

Chun-Mei Feng, Yong Xu, Zuoyong Li, Jian Yang

CoRR, 2019

Tongue image segmentation via color decomposition and thresholding.

Zuoyong Li, Zhaochai Yu, Weixia Liu, Yong Xu, Daoqiang Zhang, Yong Cheng

Concurr. Comput. Pract. Exp., 2019

Enhanced CNN for image denoising.

Chunwei Tian, Yong Xu, Lunke Fei, Junqian Wang, Jie Wen, Nan Luo

CAAI Trans. Intell. Technol., 2019

PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data.

Chun-Mei Feng, Yong Xu, Mi-Xiao Hou, Ling-Yun Dai, Junliang Shang

BMC Bioinform., 2019

Protein fold recognition based on multi-view modeling.

Ke Yan, Xiaozhao Fang, Yong Xu, Bin Liu

Bioinform., 2019

Multi-View Convolutional Neural Networks for Mammographic Image Classification.

Lilei Sun, Junqian Wang, Zhijun Hu, Yong Xu, Zhongwei Cui

IEEE Access, 2019

Automatic Face Recognition Based on Sparse Representation and Extended Transfer Learning.

Zhi Liu, Dongmei Jiang, Yujun Li, Yankun Cao, Mingyu Wang, Yong Xu

IEEE Access, 2019

Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data.

Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu

IEEE Access, 2019

Arrhythmogenic Mechanism of the Enhanced Late Sodium Current in Human Ventricular Myocytes - a Simulation Study.

Wei Wang, Shanzhuo Zhang, Yong Xu, Kuanquan Wang, Henggui Zhang

Proceedings of the 46th Computing in Cardiology, 2019

Deep Residual Equivariant Mapping for Multi-angle Face Recognition.

Wei Liu, Lintai Wu, Yong Xu, Dan Wang

Proceedings of the Biometric Recognition - 14th Chinese Conference, 2019

Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering.

Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Discriminative and Robust Competitive Code for Palmprint Recognition.

Yong Xu, Lunke Fei, Jie Wen, David Zhang

IEEE Trans. Syst. Man Cybern. Syst., 2018

Discriminative Block-Diagonal Representation Learning for Image Recognition.

Zheng Zhang, Yong Xu, Ling Shao, Jian Yang

IEEE Trans. Neural Networks Learn. Syst., 2018

Marginal Representation Learning With Graph Structure Self-Adaptation.

Zheng Zhang, Ling Shao, Yong Xu, Li Liu, Jian Yang

IEEE Trans. Neural Networks Learn. Syst., 2018

Regularized Label Relaxation Linear Regression.

Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Wai Keung Wong, Bingwu Fang

IEEE Trans. Neural Networks Learn. Syst., 2018

Approximate Low-Rank Projection Learning for Feature Extraction.

Xiaozhao Fang, Na Han, Jigang Wu, Yong Xu, Jian Yang, Wai Keung Wong, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2018

Robust Discriminant Regression for Feature Extraction.

Zhihui Lai, Dongmei Mo, Wai Keung Wong, Yong Xu, Duoqian Miao, David Zhang

IEEE Trans. Cybern., 2018

Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey.

Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu, Jiguo Yu

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Maximal granularity structure and generalized multi-view discriminant analysis for person re-identification.

Cairong Zhao, Xuekuan Wang, Duoqian Miao, Hanli Wang, Wei-Shi Zheng, Yong Xu, David Zhang

Pattern Recognit., 2018

Adaptive weighted nonnegative low-rank representation.

Jie Wen, Bob Zhang, Yong Xu, Jian Yang, Na Han

Pattern Recognit., 2018

Inter-class sparsity based discriminative least square regression.

Jie Wen, Yong Xu, Zuoyong Li, Zhongli Ma, Yuanrong Xu

Neural Networks, 2018

Low-rank representation with adaptive graph regularization.

Jie Wen, Xiaozhao Fang, Yong Xu, Chunwei Tian, Lunke Fei

Neural Networks, 2018

Two-phase linear reconstruction measure-based classification for face recognition.

Jianping Gou, Yong Xu, David Zhang, Qirong Mao, Lan Du, Yongzhao Zhan

Inf. Sci., 2018

Enhanced CNN for image denoising.

Chunwei Tian, Yong Xu, Junqian Wang, Nan Luo, Haizhang Zou

CoRR, 2018

Multi-level image representation for large-scale image-based instance retrieval.

Qili Deng, Shuai Wu, Jie Wen, Yong Xu

CAAI Trans. Intell. Technol., 2018

Deep Learning for Image Denoising: A Survey.

Chunwei Tian, Yong Xu, Lunke Fei, Ke Yan

Proceedings of the Genetic and Evolutionary Computing, 2018

Highly-Economized Multi-view Binary Compression for Scalable Image Clustering.

Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen

Proceedings of the Computer Vision - ECCV 2018, 2018

Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization.

Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Bidirectional Attentive Fusion With Context Gating for Dense Video Captioning.

Jingwen Wang, Wenhao Jiang, Lin Ma, Wei Liu, Yong Xu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Supervised Group Sparse Representation via Intra-class Low-Rank Constraint.

Peipei Kang, Xiaozhao Fang, Wei Zhang, Shaohua Teng, Lunke Fei, Yong Xu, Yubao Zheng

Proceedings of the Biometric Recognition - 13th Chinese Conference, 2018

2017

A New Discriminative Sparse Representation Method for Robust Face Recognition via l₂ Regularization.

Yong Xu, Zuofeng Zhong, Jian Yang, Jane You, David Zhang

IEEE Trans. Neural Networks Learn. Syst., 2017

A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification.

Zhengming Li, Zhihui Lai, Yong Xu, Jian Yang, David Zhang

IEEE Trans. Neural Networks Learn. Syst., 2017

An Adaptive Background Modeling Method for Foreground Segmentation.

Zuofeng Zhong, Bob Zhang, Guangming Lu, Yong Zhao, Yong Xu

IEEE Trans. Intell. Transp. Syst., 2017

Discriminative Elastic-Net Regularized Linear Regression.

Zheng Zhang, Zhihui Lai, Yong Xu, Ling Shao, Jian Wu, Guo-Sen Xie

IEEE Trans. Image Process., 2017

Correcting Instrumental Variation and Time-Varying Drift Using Parallel and Serial Multitask Learning.

Ke Yan, David Zhang, Yong Xu

IEEE Trans. Instrum. Meas., 2017

Rotational Invariant Dimensionality Reduction Algorithms.

Zhihui Lai, Yong Xu, Jian Yang, Linlin Shen, David Zhang

IEEE Trans. Cybern., 2017

Nonnegative Discriminant Matrix Factorization.

Yuwu Lu, Zhihui Lai, Yong Xu, Xuelong Li, David Zhang, Chun Yuan

IEEE Trans. Circuits Syst. Video Technol., 2017

Low rank representation with adaptive distance penalty for semi-supervised subspace classification.

Lunke Fei, Yong Xu, Xiaozhao Fang, Jian Yang

Pattern Recognit., 2017

Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes.

Jian Yang, Lei Luo, Jianjun Qian, Ying Tai, Fanlong Zhang, Yong Xu

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Orthogonal self-guided similarity preserving projection for classification and clustering.

Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Shaohua Teng, Lunke Fei

Neural Networks, 2017

Sample diversity, representation effectiveness and robust dictionary learning for face recognition.

Yong Xu, Zhengming Li, Bob Zhang, Jian Yang, Jane You

Inf. Sci., 2017

A joint-L_{2, 1}-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis.

Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang, Feng Liu, Yong Xu

Neurocomputing, 2017

Background modelling using discriminative motion representation.

Zuofeng Zhong, Yong Xu, Zuoyong Li, Yinnan Zhao

IET Comput. Vis., 2017

Face recognition using both visible light image and near-infrared image and a deep network.

Kai Guo, Shuai Wu, Yong Xu

CAAI Trans. Intell. Technol., 2017

Protein fold recognition based on sparse representation based classification.

Ke Yan, Yong Xu, Xiaozhao Fang, Chunhou Zheng, Bin Liu

Artif. Intell. Medicine, 2017

A Survey of Dictionary Learning Algorithms for Face Recognition.

Yong Xu, Zhengming Li, Jian Yang, David Zhang

IEEE Access, 2017

Face liveness detection using color gradient features.

Jixiang Dong, Chunwei Tian, Yong Xu

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation.

Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Projective Representation Learning for Discriminative Face Recognition.

Zuofeng Zhong, Zheng Zhang, Yong Xu

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

Robust Face Recognition Against Eyeglasses Interference by Integrating Local and Global Facial Features.

Hansheng Fang, Jie Wen, Yong Xu

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

Local Orientation Binary Pattern with Use for Palmprint Recognition.

Lunke Fei, Yong Xu, Shaohua Teng, Wei Zhang, Wenliang Tang, Xiaozhao Fang

Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

Rich Features and Precise Localization with Region Proposal Network for Object Detection.

Mengdie Chu, Shuai Wu, Yifan Gu, Yong Xu

Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

Enlarging Effective Receptive Field of Convolutional Neural Networks for Better Semantic Segmentation.

Yifan Gu, Zuofeng Zhong, Shuai Wu, Yong Xu

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

Combining Enhanced Competitive Code with Compacted ST for 3D Palmprint Recognition.

Lunke Fei, Shaohua Teng, Jigang Wu, Yong Xu, Jie Wen, Chunwei Tian

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016

Approximate Orthogonal Sparse Embedding for Dimensionality Reduction.

Zhihui Lai, Wai Keung Wong, Yong Xu, Jian Yang, David Zhang

IEEE Trans. Neural Networks Learn. Syst., 2016

Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation.

Yong Xu, Xiaozhao Fang, Jian Wu, Xuelong Li, David Zhang

IEEE Trans. Image Process., 2016

Palmprint Recognition Using Neighboring Direction Indicator.

Lunke Fei, Bob Zhang, Yong Xu, Liping Yan

IEEE Trans. Hum. Mach. Syst., 2016

Low-Rank Preserving Projections.

Yuwu Lu, Zhihui Lai, Yong Xu, Xuelong Li, David Zhang, Chun Yuan

IEEE Trans. Cybern., 2016

Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation.

Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Wai Keung Wong

IEEE Trans. Cybern., 2016

Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization.

Dong Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data.

Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Chun-Hou Zheng, Dong Wang, Qi Zhu

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Half-orientation extraction of palmprint features.

Lunke Fei, Yong Xu, David Zhang

Pattern Recognit. Lett., 2016

One-pass online learning: A local approach.

Zhaoze Zhou, Wei-Shi Zheng, Jianfang Hu, Yong Xu, Jane You

Pattern Recognit., 2016

Approximately symmetrical face images for image preprocessing in face recognition and sparse representation based classification.

Yong Xu, Zheng Zhang, Guangming Lu, Jian Yang

Pattern Recognit., 2016

Robust single-object image segmentation based on salient transition region.

Zuoyong Li, Guanghai Liu, David Zhang, Yong Xu

Pattern Recognit., 2016

Double-orientation code and nonlinear matching scheme for palmprint recognition.

Lunke Fei, Yong Xu, Wenliang Tang, David Zhang

Pattern Recognit., 2016

Individualized learning for improving kernel Fisher discriminant analysis.

Zizhu Fan, Yong Xu, Ming Ni, Xiaozhao Fang, David Zhang

Pattern Recognit., 2016

Projective robust nonnegative factorization.

Yuwu Lu, Zhihui Lai, Yong Xu, Jane You, Xuelong Li, Chun Yuan

Inf. Sci., 2016

Low-rank representation integrated with principal line distance for contactless palmprint recognition.

Lunke Fei, Yong Xu, Bob Zhang, Xiaozhao Fang, Jie Wen

Neurocomputing, 2016

Corrigendum to "Adaptive Weighted Fusion: A novel fusion approach for image classification" Neurocomputing, volume 168 (2015), 566-574.

Yong Xu, Yuwu Lu

Neurocomputing, 2016

Background modeling methods in video analysis: A review and comparative evaluation.

Yong Xu, Jixiang Dong, Bob Zhang, Daoyun Xu

CAAI Trans. Intell. Technol., 2016

Review of Video and Image Defogging Algorithms and Related Studies on Image Restoration and Enhancement.

Yong Xu, Jie Wen, Lunke Fei, Zheng Zhang

IEEE Access, 2016

An Optimized Naive Bayesian Method for Face Recognition.

Rui Yan, Jie Wen, Jian Cao, Yong Xu, Jian Yang

Proceedings of the Cognitive Systems and Signal Processing, 2016

Natural Scene Character Recognition Using Robust PCA and Sparse Representation.

Zheng Zhang, Yong Xu, Cheng-Lin Liu

Proceedings of the 12th IAPR Workshop on Document Analysis Systems, 2016

Random Walk Based Global Feature for Disease Gene Identification.

Lezhen Wei, Shuai Wu, Jian Zhang, Yong Xu

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

An Adaptive Weighted Degree Kernel to Predict the Splice Site.

Tianqi Wang, Ke Yan, Yong Xu, Jin-Xing Liu

Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

Discriminative Learning in Biometrics

David Zhang, Yong Xu, Wangmeng Zuo

Springer, ISBN: 978-981-10-2056-8, 2016

Computer Models for Facial Beauty Analysis

David Zhang, Fangmei Chen, Yong Xu

Springer, ISBN: 978-3-319-32598-9, 2016

2015

Nuclear Norm-Based 2-DPCA for Extracting Features From Images.

Fanlong Zhang, Jian Yang, Jianjun Qian, Yong Xu

IEEE Trans. Neural Networks Learn. Syst., 2015

Combining Left and Right Palmprint Images for More Accurate Personal Identification.

Yong Xu, Lunke Fei, David Zhang

IEEE Trans. Image Process., 2015

Learning a Nonnegative Sparse Graph for Linear Regression.

Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Wai Keung Wong

IEEE Trans. Image Process., 2015

Joint Tensor Feature Analysis For Visual Object Recognition.

Wai Keung Wong, Zhihui Lai, Yong Xu, Jiajun Wen, Chu Po Ho

IEEE Trans. Cybern., 2015

RPCA-Based Tumor Classification Using Gene Expression Data.

Jin-Xing Liu, Yong Xu, Chun-Hou Zheng, Heng Kong, Zhihui Lai

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Multiple representations and sparse representation for image classification.

Yong Xu, Bob Zhang, Zuofeng Zhong

Pattern Recognit. Lett., 2015

Adaptive weighted fusion: A novel fusion approach for image classification.

Yong Xu, Yuwu Lu

Neurocomputing, 2015

Noise-free representation based classification and face recognition experiments.

Yong Xu, Xiaozhao Fang, Jane You, Yan Chen, Hong Liu

Neurocomputing, 2015

A salt & pepper noise filter based on local and global image information.

Zuoyong Li, Yong Cheng, Kezong Tang, Yong Xu, David Zhang

Neurocomputing, 2015

2D facial landmark model design by combining key points and inserted points.

Fangmei Chen, Yong Xu, David Zhang, Kai Chen

Expert Syst. Appl., 2015

A Survey of Sparse Representation: Algorithms and Applications.

Zheng Zhang, Yong Xu, Jian Yang, Xuelong Li, David Zhang

IEEE Access, 2015

Orthogonal self-guided similarity preserving projections.

Xiaozhao Fang, Yong Xu, Zheng Zhang, Zhihui Lai, Linlin Shen

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

An Improved Denoising Method Based on Wavelet Transform for Processing Bases Sequence Images.

Ke Yan, Jin-Xing Liu, Yong Xu

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

A Survey of Multiple Sequence Alignment Techniques.

Xiao-Dan Wang, Jin-Xing Liu, Yong Xu, Jian Zhang

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Semi-supervised Feature Extraction for RNA-Seq Data Analysis.

Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Dong Wang, Chun-Hou Zheng, Junliang Shang

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

Low Rank Analysis of Eye Image Sequence - A Novel Basis for Face Liveness Detection.

Chengyan Lin, Yuwu Lu, Jian Wu, Yong Xu

Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

2014

Multilinear Sparse Principal Component Analysis.

Zhihui Lai, Yong Xu, Qingcai Chen, Jian Yang, David Zhang

IEEE Trans. Neural Networks Learn. Syst., 2014

Sparse Alignment for Robust Tensor Learning.

Zhihui Lai, Wai Keung Wong, Yong Xu, Cairong Zhao, Mingming Sun

IEEE Trans. Neural Networks Learn. Syst., 2014

Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models.

Zizhu Fan, Yong Xu, Wangmeng Zuo, Jian Yang, Jinhui Tang, Zhihui Lai, David Zhang

IEEE Trans. Neural Networks Learn. Syst., 2014

Integrating Conventional and Inverse Representation for Face Recognition.

Yong Xu, Xuelong Li, Jian Yang, Zhihui Lai, David Zhang

IEEE Trans. Cybern., 2014

Data Uncertainty in Face Recognition.

Yong Xu, Xiaozhao Fang, Xuelong Li, Jiang Yang, Jane You, Hong Liu, Shaohua Teng

IEEE Trans. Cybern., 2014

Joint Video Frame Set Division and Low-Rank Decomposition for Background Subtraction.

Jiajun Wen, Yong Xu, Jinhui Tang, Yinwei Zhan, Zhihui Lai, Xiao-Tang Guo

IEEE Trans. Circuits Syst. Video Technol., 2014

Human Gait Recognition via Sparse Discriminant Projection Learning.

Zhihui Lai, Yong Xu, Zhong Jin, David Zhang

IEEE Trans. Circuits Syst. Video Technol., 2014

A New Hypothesis on Facial Beauty Perception.

Fangmei Chen, Yong Xu, David Zhang

ACM Trans. Appl. Percept., 2014

Modified directional weighted filter for removal of salt & pepper noise.

Zuoyong Li, Guanghai Liu, Yong Xu, Yong Cheng

Pattern Recognit. Lett., 2014

Integrate the original face image and its mirror image for face recognition.

Yong Xu, Xuelong Li, Jian Yang, David Zhang

Neurocomputing, 2014

Modified minimum squared error algorithm for robust classification and face recognition experiments.

Yong Xu, Xiaozhao Fang, Qi Zhu, Yan Chen, Jane You, Hong Liu

Neurocomputing, 2014

A comparative study and improvement of two ICA using reference signal methods.

Jian-Xun Mi, Yong Xu

Neurocomputing, 2014

Locality and similarity preserving embedding for feature selection.

Xiaozhao Fang, Yong Xu, Xuelong Li, Zizhu Fan, Hong Liu, Yan Chen

Neurocomputing, 2014

Keyword Search over Web Documents Based on Earth Mover's Distance.

Jiangang Ma, Quan Z. Sheng, Lina Yao, Yong Xu, Ali Shemshadi

Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

A people counting method based on head detection and tracking.

Bin Li, Jian Zhang, Zheng Zhang, Yong Xu

Proceedings of the International Conference on Smart Computing, 2014

Managing Uncertainties in RFID Applications - A Survey.

Dong Xie, Yongrui Qin, Quan Z. Sheng, Yong Xu

Proceedings of the 11th IEEE International Conference on e-Business Engineering, 2014

Disguised face detection and recognition under the complex background.

Jing Li, Bin Li, Yong Xu, Kaixuan Lu, Ke Yan, Lunke Fei

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, 2014

Automatic Two Phase Sparse Representation Method and Face Recognition Experiments.

Ke Yan, Yong Xu, Jian Zhang

Proceedings of the Biometric Recognition - 9th Chinese Conference, 2014

Towards Ontology-Enhanced Cloud Services Discovery.

Abdullah Alfazi, Talal H. Noor, Quan Z. Sheng, Yong Xu

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013

Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition.

Jian Yang, Delin Chu, Lei Zhang, Yong Xu, Jingyu Yang

IEEE Trans. Neural Networks Learn. Syst., 2013

Local Structure-Based Image Decomposition for Feature Extraction With Applications to Face Recognition.

Jianjun Qian, Jian Yang, Yong Xu

IEEE Trans. Image Process., 2013

Sparse Tensor Discriminant Analysis.

Zhihui Lai, Yong Xu, Jian Yang, Jinhui Tang, David Zhang

IEEE Trans. Image Process., 2013

Coarse to fine K nearest neighbor classifier.

Yong Xu, Qi Zhu, Zizhu Fan, Minna Qiu, Yan Chen, Hong Liu

Pattern Recognit. Lett., 2013

Using the original and 'symmetrical face' training samples to perform representation based two-step face recognition.

Yong Xu, Xingjie Zhu, Zhengming Li, Guang-Hai Liu, Yuwu Lu, Hong Liu

Pattern Recognit., 2013

Multi-directional two-dimensional PCA with matching score level fusion for face recognition.

Qi Zhu, Yong Xu

Neural Comput. Appl., 2013

A simple and fast representation-based face recognition method.

Yong Xu, Qi Zhu

Neural Comput. Appl., 2013

Face recognition based on fusion of multi-resolution Gabor features.

Yong Xu, Zhengming Li, Jeng-Shyang Pan, Jing-Yu Yang

Neural Comput. Appl., 2013

Panorama parking assistant system with improved particle swarm optimization method.

Ruzhong Cheng, Yong Zhao, Zhichao Li, Weigang Jiang, Xin'an Wang, Yong Xu

J. Electronic Imaging, 2013

Using the idea of the sparse representation to perform coarse-to-fine face recognition.

Yong Xu, Qi Zhu, Zizhu Fan, David Zhang, Jian-Xun Mi, Zhihui Lai

Inf. Sci., 2013

From the idea of "sparse representation" to a representation-based transformation method for feature extraction.

Yong Xu, Qi Zhu, Zizhu Fan, Yaowu Wang, Jeng-Shyang Pan

Neurocomputing, 2013

A sparse representation method of bimodal biometrics and palmprint recognition experiments.

Yong Xu, Zizhu Fan, Minna Qiu, David Zhang, Jing-Yu Yang

Neurocomputing, 2013

Recent Advance on mean Shift Tracking: a Survey.

Liwen He, Yong Xu, Yan Chen, Jiajun Wen

Int. J. Image Graph., 2013

Robust PCA based method for discovering differentially expressed genes.

Jin-Xing Liu, Yutian Wang, Chun-Hou Zheng, Wen Sha, Jian-Xun Mi, Yong Xu

BMC Bioinform., 2013

Detecting Robbery and Violent Scenarios.

Yong Xu, Jiajun Wen

Proceedings of the Second International Conference on Robot, Vision and Signal Processing, 2013

Design and Implementation of a Bimodal Face Recognition System.

Yong Xu, Jian Yang, Jiajie Xu, Qi Zhu, Zizhu Fan

Proceedings of the Intelligence Science and Big Data Engineering, 2013

Novel Matrix Based Feature Extraction Method for Face Recognition Using Gaborface Features.

Qi Zhu, Yong Xu, Yuwu Lu, Jiajun Wen, Zizhu Fan, Zhengming Li

Proceedings of the Genetic and Evolutionary Computing, 2013

Posterior Probability Based Multi-classifier Fusion in Pedestrian Detection.

Jialu Zhao, Yan Chen, Xuanyi Zhuang, Yong Xu

Proceedings of the Genetic and Evolutionary Computing, 2013

2012

Sparse Approximation to the Eigensubspace for Discrimination.

Zhihui Lai, Wai Keung Wong, Zhong Jin, Jian Yang, Yong Xu

IEEE Trans. Neural Networks Learn. Syst., 2012

Beyond sparsity: The role of L₁-optimizer in pattern classification.

Jian Yang, Lei Zhang, Yong Xu, Jing-Yu Yang

Pattern Recognit., 2012

Orthogonal discriminant vector for face recognition across pose.

Jinghua Wang, Jane You, Qin Li, Yong Xu

Pattern Recognit., 2012

Extract minimum positive and maximum negative features for imbalanced binary classification.

Jinghua Wang, Jane You, Qin Li, Yong Xu

Pattern Recognit., 2012

Breast cancer diagnosis based on a kernel orthogonal transform.

Yong Xu, Qi Zhu, Jinghua Wang

Neural Comput. Appl., 2012

Theoretical analysis of locality preserving projection and a fast orthogonal locality preserving projection algorithm.

Yong Xu, Binglei Xie, Jingyu Yang

J. Electronic Imaging, 2012

Impact of Full Rank Principal Component Analysis on Classification Algorithms for Face Recognition.

Fengxi Song, Jane You, David Zhang, Yong Xu

Int. J. Pattern Recognit. Artif. Intell., 2012

Supervised sparse representation method with a heuristic strategy and face recognition experiments.

Yong Xu, Wangmeng Zuo, Zizhu Fan

Neurocomputing, 2012

Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition.

Jin-Xing Liu, Chun-Hou Zheng, Yong Xu

Comput. Biol. Medicine, 2012

Kernel based sparse representation for face recognition.

Qi Zhu, Yong Xu, Jinghua Wang, Zizhu Fan

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Sparse residue for occluded face image reconstruction and classification.

Jinghua Wang, Yong Xu, Jane You

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Identifying Characteristic Genes Based on Robust Principal Component Analysis.

Chun-Hou Zheng, Jin-Xing Liu, Jian-Xun Mi, Yong Xu

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

Combine the clustering algorithm and representation-based algorithm for concurrent classification of test samples.

Xiaozhao Fang, Yong Xu

Proceedings of the 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications, 2012

2011

Local Linear Discriminant Analysis Framework Using Sample Neighbors.

Zizhu Fan, Yong Xu, David Dapeng Zhang

IEEE Trans. Neural Networks, 2011

A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition.

Yong Xu, David Zhang, Jian Yang, Jing-Yu Yang

IEEE Trans. Circuits Syst. Video Technol., 2011

Image retrieval based on micro-structure descriptor.

Guang-Hai Liu, Zuoyong Li, Lei Zhang, Yong Xu

Pattern Recognit., 2011

Accelerating the kernel-method-based feature extraction procedure from the viewpoint of numerical approximation.

Yong Xu, David Zhang

Neural Comput. Appl., 2011

Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments.

Yong Xu, Qi Zhu, David Zhang

Neurocomputing, 2011

Modified local entropy-based transition region extraction and thresholding.

Zuoyong Li, David Zhang, Yong Xu, Chuancai Liu

Appl. Soft Comput., 2011

Detection of Protein Spots from Complex Region on Real Gel Image.

Cheng-li Sun, Yong Xu, Jie Jia, Yu He

Proceedings of the Bio-Inspired Computing and Applications, 2011

Fighting Detection Based on Optical Flow Context Histogram.

Yan Chen, Ling Zhang, Biyi Lin, Yong Xu, Xiaobo Ren

Proceedings of the Second International Conference on Innovations in Bio-inspired Computing and Applications, 2011

2010

LPP solution schemes for use with face recognition.

Yong Xu, Aini Zhong, Jian Yang, David Zhang

Pattern Recognit., 2010

A feature extraction method for use with bimodal biometrics.

Yong Xu, David Zhang, Jing-Yu Yang

Pattern Recognit., 2010

An efficient method for computing orthogonal discriminant vectors.

Jinghua Wang, Yong Xu, David Zhang, Jane You

Neurocomputing, 2010

A novel local preserving projection scheme for use with face recognition.

Yong Xu, Fengxi Song, Ge Feng, Yingnan Zhao

Expert Syst. Appl., 2010

Computerized Wrist Pulse Signal Diagnosis Using KPCA.

Yunlian Sun, Bo Shen, Yinghui Chen, Yong Xu

Proceedings of the Medical Biometrics, Second International Conference, 2010

2009

One improvement to two-dimensional locality preserving projection method for use with face recognition.

Yong Xu, Ge Feng, Yingnan Zhao

Neurocomputing, 2009

Improving the interest operator for face recognition.

Yong Xu, Lu Yao, David Zhang, Jing-Yu Yang

Expert Syst. Appl., 2009

Biometric cryptographic key generation based on city block distance.

Xiangqian Wu, Peipei Wang, Kuanquan Wang, Yong Xu

Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009), 2009

Differential Feature Analysis for Palmprint Authentication.

Xiangqian Wu, Kuanquan Wang, Yong Xu, David Zhang

Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2008

An approach for directly extracting features from matrix data and its application in face recognition.

Yong Xu, David Zhang, Jian Yang, Jing-Yu Yang

Neurocomputing, 2008

A New Solution Scheme of Unsupervised Locality Preserving Projection Method for the SSS Problem.

Yong Xu, David Zhang

Proceedings of the Structural, 2008

2007

Five New Feature Selection Metrics in Text Categorization.

Fengxi Song, David Zhang, Yong Xu, Jizhong Wang

Int. J. Pattern Recognit. Artif. Intell., 2007

A method for speeding up feature extraction based on KPCA.

Yong Xu, David Zhang, Fengxi Song, Jing-Yu Yang, Zhong Jing, Miao Li

Neurocomputing, 2007

Detecting Iris Lacunae Based on Gaussian Filter.

Bo Shen, Yong Xu, Guangming Lu, David Zhang

Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007

Determine the Kernel Parameter of KFDA Using a Minimum Search Algorithm.

Yong Xu, Chuancai Liu, Chongyang Zhang

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

2006

A fast kernel-based nonlinear discriminant analysis for multi-class problems.

Yong Xu, David Zhang, Zhong Jin, Miao Li, Jing-Yu Yang

Pattern Recognit., 2006

Comparison Study on SVD-Based Face Classification.

Yong Xu, Yingnan Zhao

Proceedings of the Second International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2006), 2006

Recognize Color Face Images Using Complex Eigenfaces.

Jian Yang, David Zhang, Yong Xu, Jing-Yu Yang

Proceedings of the Advances in Biometrics, International Conference, 2006

2005

Two-dimensional discriminant transform for face recognition.

Jian Yang, David Zhang, Yong Xu, Jing-Yu Yang

Pattern Recognit., 2005

2004

A reformative kernel Fisher discriminant analysis.

Yong Xu, Jing-Yu Yang, Jian Yang

Pattern Recognit., 2004

An efficient renovation on kernel Fisher discriminant analysis and face recognition experiments.

Yong Xu, Jing-Yu Yang, Jianfeng Lu, Dongjun Yu

Pattern Recognit., 2004

A novel method for Fisher discriminant analysis.

Yong Xu, Jing-Yu Yang, Zhong Jin

Pattern Recognit., 2004

2003

Theory analysis on FSLDA and ULDA.

Yong Xu, Jing-Yu Yang, Zhong Jin

Pattern Recognit., 2003