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ORCIDYong Xu 0001
Person information
- affiliation: Harbin Institute of Technology, Shenzhen Graduate School, Bio-Computing Research Centre, China
- affiliation (PhD 2005): Nanjing University of Science and Technology, Department of Computer Science, China
Other persons with the same name
- Yong Xu — disambiguation page
- Yong Xu 0002
![[0000-0002-9933-024X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-9933-024X")
(aka: Eric Yong Xu) — The Chinese University of Hong Kong, Institute of Future Cities, Hong Kong - Yong Xu 0003 — Guangdong University of Technology, School of Automation, Guangzhou, China (and 3 more)
- Yong Xu 0004 — Tencent America LLC, Seattle, USA (and 2 more)
- Yong Xu 0005 — Zhejiang University, Institute of Cyber-Systems and Control, National Laboratory of Industrial Control Technology, Yuquan Campus, Hangzhou, China
- Yong Xu 0006 — University of Paris-Saclay, France
- Yong Xu 0007 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 1 more)
- Yong Xu 0008 — Fudan University, Shanghai, China
- Yong Xu 0009 — Xiamen University, School of Film, Department of Digital Media, Xiamen, China (and 6 more)
- Yong Xu 0010 — Microsoft Research, Beijing, China
- Yong Xu 0011 — Northwestern Polytechnical University, Department of Mathematics and Statistics, Xi'an, China
- Yong Xu 0012 — Tokyo University of Agriculture and Technology, Division of Advanced Information Technology and Computer Science, Institute of Engineering, Japan (and 1 more)
- Yong Xu 0013 — Beihang University, Institute of Unmanned Systems, Key Laboratory of Advanced Technology of Intelligent Unmanned Flight Systems, School of Electronic and Information Engineering, Beijing, China
- Yong Xu 0014 — State Grid Hunan Integrated Energy Service Company Ltd., Technology Research and Development Center, Changsha, China (and 1 more)
- Yong Xu 0015 — University of Cincinnati, Wireless and Mobile Networking Laboratory, OH, USA
- Yong Xu 0016 — Tsinghua University, State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Beijing, China (and 3 more)
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2020 – today
- 2025
[j237]Wenzhe Ouyang, Zenglin Xu, Qianying Zhu, Bin Shen, Yong Xu:
PlanePDM: Boundary-aware 3D planar recovery by using parallel dilated mask head. Pattern Recognit. 161: 111306 (2025)- [j236]Yabo Liu, Jinghua Wang, Linhui Xiao, Chengliang Liu, Zhihao Wu, Yong Xu:
Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection. IEEE Trans. Neural Networks Learn. Syst. 36(1): 369-380 (2025) - 2024
- [j235]Xiaoling Luo, Wei Wang, Yong Xu, Zhihui Lai, Xiaopeng Jin, Bob Zhang, David Zhang:
A deep convolutional neural network for diabetic retinopathy detection via mining local and long-range dependence. CAAI Trans. Intell. Technol. 9(1): 153-166 (2024) - [j234]Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, David Zhang:
Geometric prior guided hybrid deep neural network for facial beauty analysis. CAAI Trans. Intell. Technol. 9(2): 467-480 (2024) - [j233]Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, Yuan Xie, Yahan Sun, David Zhang:
ISFB-GAN: Interpretable semantic face beautification with generative adversarial network. Expert Syst. Appl. 236: 121131 (2024) - [j232]Jinxing Li, Chuhao Zhou, Xiaoqiang Ji, Mu Li, Guangming Lu, Yong Xu, David Zhang:
Multi-view Instance Attention Fusion Network for classification. Inf. Fusion 101: 101974 (2024) - [j231]Xin Wang, Shiqi Wang, Jinxing Li, Mu Li, Jinkai Li, Yong Xu:
Omnidirectional image super-resolution via position attention network. Neural Networks 178: 106464 (2024) - [j230]Hao Liang, Lunke Fei, Shuping Zhao, Jie Wen, Shaohua Teng, Yong Xu:
Mask-guided multiscale feature aggregation network for hand gesture recognition. Pattern Recognit. 145: 109901 (2024) - [j229]Chen Luo, Shanshan Feng, Yingling Quan, Yunming Ye, Yong Xu, Xutao Li, Baoquan Zhang:
AMANet: An Adaptive Memory Attention Network for video cloud detection. Pattern Recognit. 155: 110616 (2024) - [j228]Wenzhe Ouyang, Zenglin Xu, Jing Xu, Qifan Wang, Yong Xu:
MixingMask: A contour-aware approach for joint object detection and instance segmentation. Pattern Recognit. 155: 110620 (2024) - [j227]Lian Wu, Chao Huang, Lunke Fei, Shuping Zhao, Jianchuan Zhao, Zhongwei Cui, Yong Xu:
Video-Based Fall Detection Using Human Pose and Constrained Generative Adversarial Network. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2179-2194 (2024) - [j226]Jie Wen, Gehui Xu, Zhanyan Tang, Wei Wang, Lunke Fei, Yong Xu:
Graph Regularized and Feature Aware Matrix Factorization for Robust Incomplete Multi-View Clustering. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3728-3741 (2024) - [j225]Jiaxing Li, Wai Keung Wong, Lin Jiang, Xiaozhao Fang, Shengli Xie, Yong Xu:
CKDH: CLIP-Based Knowledge Distillation Hashing for Cross-Modal Retrieval. IEEE Trans. Circuits Syst. Video Technol. 34(7): 6530-6541 (2024) - [j224]Han Lin, Yingjian Li, Zheng Zhang, Lei Zhu, Yong Xu:
Learning With Noisy Labels by Semantic and Feature Space Collaboration. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7190-7201 (2024) - [j223]Chao Huang, Chengliang Liu, Jie Wen, Lian Wu, Yong Xu, Qiuping Jiang, Yaowei Wang:
Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer. IEEE Trans. Cybern. 54(5): 3197-3210 (2024) - [j222]Chen Luo, Shanshan Feng, Huaibin Wang, Baoquan Zhang, Pengjuan Yao, Chuyao Luo, Yunming Ye, Yong Xu, Xutao Li, Hao Fang:
LGCNet: A Cloud Detection Method in Remote Sensing Images Using Local and Global Semantics. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j221]Zhihao Wu, Yong Xu, Jian Yang, Xuelong Li:
Misclassification in Weakly Supervised Object Detection. IEEE Trans. Image Process. 33: 3413-3427 (2024) - [j220]Le Su, Lunke Fei, Bob Zhang, Shuping Zhao, Jie Wen, Yong Xu:
Complete Region of Interest for Unconstrained Palmprint Recognition. IEEE Trans. Image Process. 33: 3662-3675 (2024) - [j219]Yabo Liu, Jinghua Wang, Chao Huang, Yiling Wu, Yong Xu, Xiaochun Cao:
MLFA: Toward Realistic Test Time Adaptive Object Detection by Multi-Level Feature Alignment. IEEE Trans. Image Process. 33: 5837-5848 (2024) - [j218]Mu Li, Youneng Bao, Xiaohang Sui, Jinxing Li, Guangming Lu, Yong Xu:
Learning Content-Weighted Pseudocylindrical Representation for 360° Image Compression. IEEE Trans. Image Process. 33: 5975-5988 (2024) - [j217]Bangjun Li, Weifeng Hu, Chun-Mei Feng, Yujun Li, Zhi Liu, Yong Xu:
Multi-Contrast Complementary Learning for Accelerated MR Imaging. IEEE J. Biomed. Health Informatics 28(3): 1436-1447 (2024) - [j216]Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yong Xu, Yuexiang Li, Yefeng Zheng:
Cross-Modal Vertical Federated Learning for MRI Reconstruction. IEEE J. Biomed. Health Informatics 28(11): 6384-6394 (2024) - [j215]Yabo Liu, Jinghua Wang, Weijia Wang, Yu Hu, Yaowei Wang, Yong Xu:
CRADA: Cross Domain Object Detection With Cyclic Reconstruction and Decoupling Adaptation. IEEE Trans. Multim. 26: 6250-6261 (2024) - [j214]Yabo Liu, Jinghua Wang, Sheng-hua Zhong, Lianyang Ma, Yong Xu:
Fine-Grained Representation Alignment for Zero-Shot Domain Adaptation. IEEE Trans. Multim. 26: 6285-6296 (2024) - [j213]Yunxin Li, Baotian Hu, Xinyu Chen, Lin Ma, Yong Xu, Min Zhang:
LMEye: An Interactive Perception Network for Large Language Models. IEEE Trans. Multim. 26: 10952-10964 (2024) - [j212]Zhihao Wu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li, David Zhang:
Enhanced Spatial Feature Learning for Weakly Supervised Object Detection. IEEE Trans. Neural Networks Learn. Syst. 35(1): 961-972 (2024) - [j211]Jie Wen, Shijie Deng, Lunke Fei, Zheng Zhang, Bob Zhang, Zhao Zhang, Yong Xu:
Discriminative Regression With Adaptive Graph Diffusion. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1797-1809 (2024) - [j210]Shijie Deng, Jie Wen, Chengliang Liu, Ke Yan, Gehui Xu, Yong Xu:
Projective Incomplete Multi-View Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10539-10551 (2024) - [j209]Jie Wen, Chengliang Liu, Shijie Deng, Yicheng Liu, Lunke Fei, Ke Yan, Yong Xu:
Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11396-11408 (2024) - [j208]Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12251-12262 (2024) - [j207]Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu:
Information Recovery-Driven Deep Incomplete Multiview Clustering Network. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15442-15452 (2024) - [c76]QiHao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu:
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation. AAAI 2024: 6342-6350 - [c75]Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu:
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification. AAAI 2024: 13864-13872 - [c74]Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang:
Unsupervised Sign Language Translation and Generation. ACL (Findings) 2024: 14041-14055 - [c73]Jie Wen, Shijie Deng, Waikeung Wong, Guoqing Chao, Chao Huang, Lunke Fei, Yong Xu:
Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering. ICML 2024 - [c72]Chengliang Liu, Gehui Xu, Jie Wen, Yabo Liu, Chao Huang, Yong Xu:
Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling. ICML 2024 - [c71]Yicheng Liu, Jie Wen, Chengliang Liu, Xiaozhao Fang, Zuoyong Li, Yong Xu, Zheng Zhang:
Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition. ICML 2024 - [c70]Jinrong Cui, Haosen Sun, Min Zhao, Ciwei Kuang, Yong Xu:
A Faster Fire Detection Network with Global Information Awareness. PRCV (12) 2024: 361-375 - [i41]Lintai Wu, Junhui Hou, Linqi Song, Yong Xu:
3D Shape Completion on Unseen Categories: A Weakly-supervised Approach. CoRR abs/2401.10578 (2024) - [i40]Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang:
Unsupervised Sign Language Translation and Generation. CoRR abs/2402.07726 (2024) - [i39]Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie:
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network. CoRR abs/2403.19514 (2024) - [i38]Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu:
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. CoRR abs/2404.17340 (2024) - [i37]Lintai Wu, Xianjing Cheng, Junhui Hou, Yong Xu, Huanqiang Zeng:
Self-supervised 3D Point Cloud Completion via Multi-view Adversarial Learning. CoRR abs/2407.09786 (2024) - 2023
- [j206]Zhijun Hu, Yong Xu, Raja Soosaimarian Peter Raj, Xian Jing Cheng, Lilei Sun, Lian Wu:
Vehicle re-identification based on keypoint segmentation of original image. Appl. Intell. 53(3): 2576-2592 (2023) - [j205]Shuping Zhao, Zhongwei Cui, Lian Wu, Yong Xu, Yu Zuo, Lunke Fei:
Salient and consensus representation learning based incomplete multiview clustering. Appl. Intell. 53(3): 2723-2737 (2023) - [j204]Qi Zhang, Jianhang Zhou, Yong Xu, Bob Zhang:
Collaborative representation induced broad learning model for classification. Appl. Intell. 53(20): 23442-23456 (2023) - [j203]Lilei Sun, Jie Wen, Junqian Wang, Yong Zhao, Bob Zhang, Jian Wu, Yong Xu:
Two-view attention-guided convolutional neural network for mammographic image classification. CAAI Trans. Intell. Technol. 8(2): 453-467 (2023) - [j202]Xiaoling Luo, Honggang Zhang, Jingyong Su, Wai Keung Wong, Jinkai Li, Yong Xu:
RV-ESA: A novel computer-aided elastic shape analysis system for retinal vessels in diabetic retinopathy. Comput. Biol. Medicine 152: 106406 (2023) - [j201]Jinkai Li, Jinghua Wang, Ciwei Kuang, Lian Wu, Xin Wang, Yong Xu:
A human-like action learning process: Progressive pose generation for motion prediction. Knowl. Based Syst. 280: 110948 (2023) - [j200]Jinkai Li, Honghu Pan, Lian Wu, Chao Huang, Xiaoling Luo, Yong Xu:
Class-guided human motion prediction via multi-spatial-temporal supervision. Neural Comput. Appl. 35(13): 9463-9479 (2023) - [j199]Lian Wu, Chao Huang, Shuping Zhao, Jinkai Li, Jianchuan Zhao, Zhongwei Cui, Zhen Yu, Yong Xu, Min Zhang:
Robust fall detection in video surveillance based on weakly supervised learning. Neural Networks 163: 286-297 (2023) - [j198]Ruibin Zhuge, Jinghua Wang, Zenglin Xu, Yong Xu:
Single image denoising with a feature-enhanced network. Neural Networks 168: 313-325 (2023) - [j197]Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, David Zhang:
Learning efficient facial landmark model for human attractiveness analysis. Pattern Recognit. 138: 109370 (2023) - [j196]Qi Zhu, Ting Zhu, Rui Zhang, Haizhou Ye, Kai Sun, Yong Xu, Daoqiang Zhang:
A Cognitive-Driven Ordinal Preservation for Multimodal Imbalanced Brain Disease Diagnosis. IEEE Trans. Cogn. Dev. Syst. 15(2): 675-689 (2023) - [j195]Ke Yan, Hongwu Lv, Jie Wen, Yichen Guo, Yong Xu, Bin Liu:
PreTP-Stack: Prediction of Therapeutic Peptides Based on the Stacked Ensemble Learing. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1337-1344 (2023) - [j194]Chen Luo, Shanshan Feng, Yingling Quan, Yunming Ye, Xutao Li, Yong Xu, Baoquan Zhang, Zhihao Chen:
TRCDNet: A Transformer Network for Video Cloud Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j193]Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li:
Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss. IEEE Trans. Image Process. 32: 682-693 (2023) - [j192]Jinxing Li, Beicheng Liang, Xiangwei Lu, Mu Li, Guangming Lu, Yong Xu:
From Global to Local: Multi-Patch and Multi-Scale Contrastive Similarity Learning for Unsupervised Defocus Blur Detection. IEEE Trans. Image Process. 32: 1158-1169 (2023) - [j191]Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang:
Zero-Shot Camouflaged Object Detection. IEEE Trans. Image Process. 32: 5126-5137 (2023) - [j190]Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu:
Specificity-Preserving Federated Learning for MR Image Reconstruction. IEEE Trans. Medical Imaging 42(7): 2010-2021 (2023) - [j189]Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu:
Multimodal Transformer for Accelerated MR Imaging. IEEE Trans. Medical Imaging 42(10): 2804-2816 (2023) - [j188]Zhihao Wu, Jie Wen, Yong Xu, Jian Yang, David Zhang:
Multiple Instance Detection Networks With Adaptive Instance Refinement. IEEE Trans. Multim. 25: 267-279 (2023) - [j187]Lintai Wu, Yong Xu, Junhui Hou, C. L. Philip Chen, Cheng-Lin Liu:
A Two-Level Rectification Attention Network for Scene Text Recognition. IEEE Trans. Multim. 25: 2404-2414 (2023) - [j186]Chengliang Liu, Zhihao Wu, Jie Wen, Yong Xu, Chao Huang:
Localized Sparse Incomplete Multi-View Clustering. IEEE Trans. Multim. 25: 5539-5551 (2023) - [j185]Chao Huang, Jie Wen, Yong Xu, Qiuping Jiang, Jian Yang, Yaowei Wang, David Zhang:
Self-Supervised Attentive Generative Adversarial Networks for Video Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9389-9403 (2023) - [j184]Lunke Fei, Shuping Zhao, Wei Jia, Bob Zhang, Jie Wen, Yong Xu:
Toward Efficient Palmprint Feature Extraction by Learning a Single-Layer Convolution Network. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9783-9794 (2023) - [j183]Shaoning Zeng, Yunbo Rao, Bob Zhang, Yong Xu:
Joint Augmented and Compressed Dictionaries for Robust Image Classification. ACM Trans. Multim. Comput. Commun. Appl. 19(3s): 136:1-136:24 (2023) - [j182]Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li:
A Survey on Incomplete Multiview Clustering. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 1136-1149 (2023) - [j181]Lunke Fei, Wai Keung Wong, Shuping Zhao, Jie Wen, Jian Zhu, Yong Xu:
Learning Spectrum-Invariance Representation for Cross-Spectral Palmprint Recognition. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3868-3879 (2023) - [c69]Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu:
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. AAAI 2023: 8807-8815 - [c68]Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu:
Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. AAAI 2023: 8816-8824 - [c67]Xiaoling Luo, Chengliang Liu, Waikeung Wong, Jie Wen, Xiaopeng Jin, Yong Xu:
MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network. AAAI 2023: 8993-9001 - [c66]Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu:
Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering. CVPR 2023: 15712-15721 - [c65]Yabo Liu, Jinghua Wang, Chao Huang, Yaowei Wang, Yong Xu:
CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection. CVPR 2023: 23776-23786 - [c64]Chuhao Zhou, Jinxing Li, Huafeng Li, Guangming Lu, Yong Xu, Min Zhang:
Video-based Visible-Infrared Person Re-Identification via Style Disturbance Defense and Dual Interaction. ACM Multimedia 2023: 46-55 - [c63]Jie Wen, Gehui Xu, Chengliang Liu, Lunke Fei, Chao Huang, Wei Wang, Yong Xu:
Localized and Balanced Efficient Incomplete Multi-view Clustering. ACM Multimedia 2023: 2927-2935 - [c62]Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu:
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. NeurIPS 2023 - [i36]Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu:
Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. CoRR abs/2303.07180 (2023) - [i35]Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu:
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. CoRR abs/2303.08358 (2023) - [i34]Chengliang Liu, Jie Wen, Yong Xu, Liqiang Nie, Min Zhang:
Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification. CoRR abs/2303.17117 (2023) - [i33]Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu:
Information Recovery-Driven Deep Incomplete Multi-view Clustering Network. CoRR abs/2304.00429 (2023) - [i32]Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yuexiang Li, Yong Xu, Yefeng Zheng:
Cross-Modal Vertical Federated Learning for MRI Reconstruction. CoRR abs/2306.02673 (2023) - 2022
- [j180]Lilei Sun, Jie Wen, Junqian Wang, Zheng Zhang, Yong Zhao, Guiying Zhang, Yong Xu:
Breast mass classification based on supervised contrastive learning and multi-view consistency penalty on mammography. IET Biom. 11(6): 588-600 (2022) - [j179]Haiwei Sang, Zuliu Yang, Yong Xu, Xianjing Cheng, Weicheng Xiong, Yong Zhao:
Local expansion moves for stereo matching based on random sample consensus confidence. J. Electronic Imaging 31(1) (2022) - [j178]Xiaohuan Lu, Jiang Long, Jie Wen, Lunke Fei, Bob Zhang, Yong Xu:
Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction. Pattern Recognit. 131: 108844 (2022) - [j177]Dasheng Zhang, Chao Huang, Chengliang Liu, Yong Xu:
Weakly Supervised Video Anomaly Detection via Transformer-Enabled Temporal Relation Learning. IEEE Signal Process. Lett. 29: 1197-1201 (2022) - [j176]Zhijun Hu, Yong Xu, Raja Soosaimarian Peter Raj, Guanghai Liu, Jie Wen, Lilei Sun, Lian Wu, Xian Jing Cheng:
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. IEEE Trans. Comput. Soc. Syst. 9(5): 1345-1358 (2022) - [j175]Xiaozhao Fang, Na Han, Guoxu Zhou, Shaohua Teng, Yong Xu, Shengli Xie:
Dynamic Double Classifiers Approximation for Cross-Domain Recognition. IEEE Trans. Cybern. 52(4): 2618-2629 (2022) - [j174]Shaoning Zeng, Bob Zhang, Jianping Gou, Yong Xu:
Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification. IEEE Trans. Cybern. 52(6): 4935-4948 (2022) - [j173]Chao Huang, Zehua Yang, Jie Wen, Yong Xu, Qiuping Jiang, Jian Yang, Yaowei Wang:
Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual Anomaly Detection. IEEE Trans. Cybern. 52(12): 13834-13847 (2022) - [j172]Chao Huang, Zhihao Wu, Jie Wen, Yong Xu, Qiuping Jiang, Yaowei Wang:
Abnormal Event Detection Using Deep Contrastive Learning for Intelligent Video Surveillance System. IEEE Trans. Ind. Informatics 18(8): 5171-5179 (2022) - [j171]Jianyang Qin, Lunke Fei, Zheng Zhang, Jie Wen, Yong Xu, David Zhang:
Joint Specifics and Consistency Hash Learning for Large-Scale Cross-Modal Retrieval. IEEE Trans. Image Process. 31: 5343-5358 (2022) - [j170]Shuai Wu, Yong Xu, Bob Zhang, Jian Yang, David Zhang:
Deformable Template Network (DTN) for Object Detection. IEEE Trans. Multim. 24: 2058-2068 (2022) - [j169]Lunke Fei, Bob Zhang, Yong Xu, Chunwei Tian, Imad Rida, David Zhang:
Jointly Heterogeneous Palmprint Discriminant Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4979-4990 (2022) - [j168]Chunwei Tian, Yong Xu, Wangmeng Zuo, Chia-Wen Lin, David Zhang:
Asymmetric CNN for Image Superresolution. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3718-3730 (2022) - [j167]Xiaozhao Fang, Lin Jiang, Na Han, Weijun Sun, Yong Xu, Shengli Xie:
Cross-Domain Recognition via Projective Cross-Reconstruction. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7366-7377 (2022) - [c61]Zhihao Wu, Chengliang Liu, Chao Huang, Jie Wen, Yong Xu:
Deep Object Detection with Example Attribute Based Prediction Modulation. ICASSP 2022: 2020-2024 - [c60]Chao Huang, Yabo Liu, Zheng Zhang, Chengliang Liu, Jie Wen, Yong Xu, Yaowei Wang:
Hierarchical Graph Embedded Pose Regularity Learning via Spatio-Temporal Transformer for Abnormal Behavior Detection. ACM Multimedia 2022: 307-315 - [c59]Chao Huang, Chengliang Liu, Zheng Zhang, Zhihao Wu, Jie Wen, Qiuping Jiang, Yong Xu:
Pixel-Level Anomaly Detection via Uncertainty-aware Prototypical Transformer. ACM Multimedia 2022: 521-530 - [i31]Zhijun Hu, Yong Xu, Jie Wen, Xian Jing Cheng, Zaijun Zhang, Lilei Sun, Yaowei Wang:
Global-Supervised Contrastive Loss and View-Aware-Based Post-Processing for Vehicle Re-Identification. CoRR abs/2204.07943 (2022) - [i30]Chengliang Liu, Zhihao Wu, Jie Wen, Chao Huang, Yong Xu:
Localized Sparse Incomplete Multi-view Clustering. CoRR abs/2208.02998 (2022) - [i29]Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li:
A Survey on Incomplete Multi-view Clustering. CoRR abs/2208.08040 (2022) - [i28]Haoran Li, Chun-Mei Feng, Tao Zhou, Yong Xu, Xiaojun Chang:
Prompt-driven efficient Open-set Semi-supervised Learning. CoRR abs/2209.14205 (2022) - [i27]Lintai Wu, Qijian Zhang, Junhui Hou, Yong Xu:
Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion. CoRR abs/2212.00564 (2022) - 2021
- [j166]Hang Wei, Yong Xu, Bin Liu:
iPiDi-PUL: identifying Piwi-interacting RNA-disease associations based on positive unlabeled learning. Briefings Bioinform. 22(3) (2021) - [j165]Hang Wei, Yong Xu, Bin Liu:
iCircDA-LTR: identification of circRNA-disease associations based on Learning to Rank. Bioinform. 37(19): 3302-3310 (2021) - [j164]Ke Yan, Jie Wen, Yong Xu, Bin Liu:
MLDH-Fold: Protein fold recognition based on multi-view low-rank modeling. Neurocomputing 421: 127-139 (2021) - [j163]Jing Xu, Tszhang Guo, Yong Xu, Zenglin Xu, Kun Bai:
MultiFace: A generic training mechanism for boosting face recognition performance. Neurocomputing 448: 40-47 (2021) - [j162]Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Xuelong Li:
Brain MRI super-resolution using coupled-projection residual network. Neurocomputing 456: 190-199 (2021) - [j161]Jinxing Li, Zhaoqun Li, Guangming Lu, Yong Xu, Bob Zhang, David Zhang:
Asymmetric Gaussian Process multi-view learning for visual classification. Inf. Fusion 65: 108-118 (2021) - [j160]Chunwei Tian, Yong Xu, Wangmeng Zuo, Bo Du, Chia-Wen Lin, David Zhang:
Designing and training of a dual CNN for image denoising. Knowl. Based Syst. 226: 106949 (2021) - [j159]Xiaoling Luo, Zuhui Pu, Yong Xu, Wai Keung Wong, Jingyong Su, Xiaoyan Dou, Baikang Ye, Jiying Hu, Lisha Mou:
MVDRNet: Multi-view diabetic retinopathy detection by combining DCNNs and attention mechanisms. Pattern Recognit. 120: 108104 (2021) - [j158]Lian Wu, Yong Xu, Zhongwei Cui, Yu Zuo, Shuping Zhao, Lunke Fei:
Triple-Type Feature Extraction for Palmprint Recognition. Sensors 21(14): 4896 (2021) - [j157]Ke Yan, Jie Wen, Jin-Xing Liu, Yong Xu, Bin Liu:
Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 2008-2016 (2021) - [j156]Ke Yan, Jie Wen, Yong Xu, Bin Liu:
Protein Fold Recognition Based on Auto-Weighted Multi-View Graph Embedding Learning Model. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2682-2691 (2021) - [j155]Jian Wu, Bob Zhang, Yong Xu, David Zhang:
Illuminance Compensation and Texture Enhancement via the Hodge Decomposition. IEEE Trans. Circuits Syst. Video Technol. 31(3): 956-971 (2021) - [j154]Na Yu, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Yong Xu:
Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data. IEEE Trans. Cybern. 51(8): 3952-3963 (2021) - [j153]Chao Huang, Zongju Peng, Yong Xu, Fen Chen, Qiuping Jiang, Yun Zhang, Gangyi Jiang, Yo-Sung Ho:
Online Learning-Based Multi-Stage Complexity Control for Live Video Coding. IEEE Trans. Image Process. 30: 641-656 (2021) - [j152]Jinxing Li, Dandan Fan, Lingxiao Yang, Shuhang Gu, Guangming Lu, Yong Xu, David Zhang:
Layer-Output Guided Complementary Attention Learning for Image Defocus Blur Detection. IEEE Trans. Image Process. 30: 3748-3763 (2021) - [j151]Shaoning Zeng, Bob Zhang, Jianping Gou, Yong Xu, Wei Huang:
Fast and Robust Dictionary-based Classification for Image Data. ACM Trans. Knowl. Discov. Data 15(6): 97:1-97:22 (2021) - [j150]Chunwei Tian, Yong Xu, Wangmeng Zuo, Bob Zhang, Lunke Fei, Chia-Wen Lin:
Coarse-to-Fine CNN for Image Super-Resolution. IEEE Trans. Multim. 23: 1489-1502 (2021) - [j149]Jie Wen, Ke Yan, Zheng Zhang, Yong Xu, Junqian Wang, Lunke Fei, Bob Zhang:
Adaptive Graph Completion Based Incomplete Multi-View Clustering. IEEE Trans. Multim. 23: 2493-2504 (2021) - [j148]Jinxing Li, Bob Zhang, Guangming Lu, Yong Xu, Feng Wu, David Zhang:
Harmonization Shared Autoencoder Gaussian Process Latent Variable Model With Relaxed Hamming Distance. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5093-5107 (2021) - [c58]Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. AAAI 2021: 116-124 - [c57]Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, Yong Xu:
Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring. AAAI 2021: 10273-10281 - [c56]Jie Wen, Zhihao Wu, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu:
Structural Deep Incomplete Multi-view Clustering Network. CIKM 2021: 3538-3542 - [c55]Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu:
Multi-contrast MRI Super-Resolution via a Multi-stage Integration Network. MICCAI (6) 2021: 140-149 - [c54]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu:
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. MICCAI (6) 2021: 307-317 - [c53]Xunguang Wang, Zheng Zhang, Guangming Lu, Yong Xu:
Targeted Attack and Defense for Deep Hashing. SIGIR 2021: 2298-2302 - [i26]Chunwei Tian, Yong Xu, Wangmeng Zuo, Chia-Wen Lin, David Zhang:
Asymmetric CNN for image super-resolution. CoRR abs/2103.13634 (2021) - [i25]Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. CoRR abs/2104.05345 (2021) - [i24]Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao:
DONet: Dual-Octave Network for Fast MR Image Reconstruction. CoRR abs/2105.05980 (2021) - [i23]Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu:
Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network. CoRR abs/2105.08949 (2021) - [i22]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu:
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. CoRR abs/2106.06742 (2021) - [i21]Huafeng Li, Kaixiong Xu, Jinxing Li, Guangming Lu, Yong Xu, Zhengtao Yu, David Zhang:
Dual-Stream Reciprocal Disentanglement Learning for Domain Adaption Person Re-Identification. CoRR abs/2106.13929 (2021) - [i20]Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao:
Accelerated Multi-Modal MR Imaging with Transformers. CoRR abs/2106.14248 (2021) - [i19]Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. CoRR abs/2109.01664 (2021) - [i18]Chun-Mei Feng, Huazhu Fu, Tianfei Zhou, Yong Xu, Ling Shao, David Zhang:
Multi-modal Aggregation Network for Fast MR Imaging. CoRR abs/2110.08080 (2021) - [i17]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Yong Xu, Ling Shao:
Specificity-Preserving Federated Learning for MR Image Reconstruction. CoRR abs/2112.05752 (2021) - 2020
- [j147]Jian Wu, Bob Zhang, Yong Xu, David Zhang:
Tongue Image Alignment via Conformal Mapping for Disease Detection. IEEE Access 8: 9796-9808 (2020) - [j146]Wei Wang, Chengqin Ye, Shanzhuo Zhang, Yong Xu, Kuanquan Wang:
Improving Whole-Heart CT Image Segmentation by Attention Mechanism. IEEE Access 8: 14579-14587 (2020) - [j145]Chunwei Tian, Ruibin Zhuge, Zhihao Wu, Yong Xu, Wangmeng Zuo, Chen Chen, Chia-Wen Lin:
Lightweight image super-resolution with enhanced CNN. Knowl. Based Syst. 205: 106235 (2020) - [j144]Chunwei Tian, Yong Xu, Wangmeng Zuo:
Image denoising using deep CNN with batch renormalization. Neural Networks 121: 461-473 (2020) - [j143]Chunwei Tian, Yong Xu, Zuoyong Li, Wangmeng Zuo, Lunke Fei, Hong Liu:
Attention-guided CNN for image denoising. Neural Networks 124: 117-129 (2020) - [j142]Chunwei Tian, Lunke Fei, Wenxian Zheng, Yong Xu, Wangmeng Zuo, Chia-Wen Lin:
Deep learning on image denoising: An overview. Neural Networks 131: 251-275 (2020) - [j141]Jianjun Qian, Jian Yang, Yong Xu, Jin Xie, Zhihui Lai, Bob Zhang:
Image decomposition based matrix regression with applications to robust face recognition. Pattern Recognit. 102: 107204 (2020) - [j140]Junqian Wang, Hanyu Zhang, Peiyi Han, Chuanyi Liu, Yong Xu:
Pixel re-representations for better classification of images. Pattern Recognit. Lett. 140: 310-317 (2020) - [j139]Na Han, Jigang Wu, Xiaozhao Fang, Wai Keung Wong, Yong Xu, Jian Yang, Xuelong Li:
Double Relaxed Regression for Image Classification. IEEE Trans. Circuits Syst. Video Technol. 30(2): 307-319 (2020) - [j138]Lunke Fei, Bob Zhang, Yong Xu, Di Huang, Wei Jia, Jie Wen:
Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition. IEEE Trans. Circuits Syst. Video Technol. 30(2): 468-481 (2020) - [j137]Shuai Wu, Yong Xu:
DSN: A New Deformable Subnetwork for Object Detection. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2057-2066 (2020) - [j136]Jie Wen, Yong Xu, Hong Liu:
Incomplete Multiview Spectral Clustering With Adaptive Graph Learning. IEEE Trans. Cybern. 50(4): 1418-1429 (2020) - [j135]Jinxing Li, Xiaobao Guo, Guangming Lu, Bob Zhang, Yong Xu, Feng Wu, David Zhang:
DRPL: Deep Regression Pair Learning for Multi-Focus Image Fusion. IEEE Trans. Image Process. 29: 4816-4831 (2020) - [j134]Hongliang Yan, Zhetao Li, Qilong Wang, Peihua Li, Yong Xu, Wangmeng Zuo:
Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation. IEEE Trans. Multim. 22(9): 2420-2433 (2020) - [j133]Jinxing Li, Bob Zhang, Guangming Lu, Jane You, Yong Xu, Feng Wu, David Zhang:
Relaxed Asymmetric Deep Hashing Learning: Point-to-Angle Matching. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4791-4805 (2020) - [c52]Weida Yang, Xindong Ai, Zuliu Yang, Yong Xu, Yong Zhao:
Dedge-AGMNet: An Effective Stereo Matching Network Optimized by Depth Edge Auxiliary Task. ECAI 2020: 2784-2791 - [c51]Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie:
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network. IJCAI 2020: 3230-3236 - [c50]Jie Wen, Zheng Zhang, Zhao Zhang, Zhihao Wu, Lunke Fei, Yong Xu, Bob Zhang:
DIMC-net: Deep Incomplete Multi-view Clustering Network. ACM Multimedia 2020: 3753-3761 - [i16]Chunwei Tian, Yong Xu, Wangmeng Zuo, Bo Du, Chia-Wen Lin, David Zhang:
Designing and Training of A Dual CNN for Image Denoising. CoRR abs/2007.03951 (2020) - [i15]Chunwei Tian, Ruibin Zhuge, Zhihao Wu, Yong Xu, Wangmeng Zuo, Chen Chen, Chia-Wen Lin:
Lightweight image super-resolution with enhanced CNN. CoRR abs/2007.04344 (2020)
2010 – 2019
- 2019
- [j132]Zhi Liu, Dongmei Jiang, Yujun Li, Yankun Cao, Mingyu Wang, Yong Xu:
Automatic Face Recognition Based on Sparse Representation and Extended Transfer Learning. IEEE Access 7: 2387-2395 (2019) - [j131]Lilei Sun, Junqian Wang, Zhijun Hu, Yong Xu, Zhongwei Cui:
Multi-View Convolutional Neural Networks for Mammographic Image Classification. IEEE Access 7: 126273-126282 (2019) - [j130]Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu:
Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data. IEEE Access 7: 151329-151338 (2019) - [j129]Ke Yan, Xiaozhao Fang, Yong Xu, Bin Liu:
Protein fold recognition based on multi-view modeling. Bioinform. 35(17): 2982-2990 (2019) - [j128]Chun-Mei Feng, Yong Xu, Mi-Xiao Hou, Ling-Yun Dai, Junliang Shang:
PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data. BMC Bioinform. 20-S(22): 716 (2019) - [j127]Chunwei Tian, Yong Xu, Lunke Fei, Junqian Wang, Jie Wen, Nan Luo:
Enhanced CNN for image denoising. CAAI Trans. Intell. Technol. 4(1): 17-23 (2019) - [j126]Zuoyong Li, Zhaochai Yu, Weixia Liu, Yong Xu, Daoqiang Zhang, Yong Cheng:
Tongue image segmentation via color decomposition and thresholding. Concurr. Comput. Pract. Exp. 31(23) (2019) - [j125]Zuofeng Zhong, Jiajun Wen, Bob Zhang, Yong Xu:
A general moving detection method using dual-target nonparametric background model. Knowl. Based Syst. 164: 85-95 (2019) - [j124]Lunke Fei, Bob Zhang, Yong Xu, Wei Jia, Jie Wen, Jigang Wu:
Precision direction and compact surface type representation for 3D palmprint identification. Pattern Recognit. 87: 237-247 (2019) - [j123]Lei Luo, Jian Yang, Yigong Zhang, Yong Xu, Heng Huang:
Nesting-structured nuclear norm minimization for spatially correlated matrix variate. Pattern Recognit. 91: 147-161 (2019) - [j122]Xiaoling Luo, Yong Xu, Jian Yang:
Multi-resolution dictionary learning for face recognition. Pattern Recognit. 93: 283-292 (2019) - [j121]Yong Xu, Zhengming Li, Chunwei Tian, Jian Yang:
Multiple vector representations of images and robust dictionary learning. Pattern Recognit. Lett. 128: 131-136 (2019) - [j120]Chuanyi Liu, Junqian Wang, Shaoming Duan, Yong Xu:
Combining dissimilarity measures for image classification. Pattern Recognit. Lett. 128: 536-543 (2019) - [j119]Jie Wen, Xiaozhao Fang, Jinrong Cui, Lunke Fei, Ke Yan, Yan Chen, Yong Xu:
Robust Sparse Linear Discriminant Analysis. IEEE Trans. Circuits Syst. Video Technol. 29(2): 390-403 (2019) - [j118]Lunke Fei, Bob Zhang, Yong Xu, Zhenhua Guo, Jie Wen, Wei Jia:
Learning Discriminant Direction Binary Palmprint Descriptor. IEEE Trans. Image Process. 28(8): 3808-3820 (2019) - [j117]Jianping Gou, Wenmo Qiu, Zhang Yi, Yong Xu, Qirong Mao, Yongzhao Zhan:
A Local Mean Representation-based K-Nearest Neighbor Classifier. ACM Trans. Intell. Syst. Technol. 10(3): 29:1-29:25 (2019) - [j116]Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng:
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2926-2937 (2019) - [c49]Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu:
Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering. AAAI 2019: 5393-5400 - [c48]Wei Liu, Lintai Wu, Yong Xu, Dan Wang:
Deep Residual Equivariant Mapping for Multi-angle Face Recognition. CCBR 2019: 145-154 - [c47]Wei Wang, Shanzhuo Zhang, Yong Xu, Kuanquan Wang, Henggui Zhang:
Arrhythmogenic Mechanism of the Enhanced Late Sodium Current in Human Ventricular Myocytes - a Simulation Study. CinC 2019: 1-4 - [i14]Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu:
Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-clustering to Find "Checkerboard" Structures on Gene Expression Data. CoRR abs/1901.06794 (2019) - [i13]Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng:
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. CoRR abs/1905.11837 (2019) - [i12]Chun-Mei Feng, Yong Xu, Zuoyong Li, Jian Yang:
Robust Classification with Sparse Representation Fusion on Diverse Data Subsets. CoRR abs/1906.11885 (2019) - [i11]Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Heng Kong, Ling Shao:
Coupled-Projection Residual Network for MRI Super-Resolution. CoRR abs/1907.05598 (2019) - [i10]Chunwei Tian, Lunke Fei, Wenxian Zheng, Yong Xu, Wangmeng Zuo, Chia-Wen Lin:
Deep Learning on Image Denoising: An overview. CoRR abs/1912.13171 (2019) - 2018
- [j115]Qili Deng, Shuai Wu, Jie Wen, Yong Xu:
Multi-level image representation for large-scale image-based instance retrieval. CAAI Trans. Intell. Technol. 3(1): 33-39 (2018) - [j114]Jianping Gou, Yong Xu, David Zhang, Qirong Mao, Lan Du, Yongzhao Zhan:
Two-phase linear reconstruction measure-based classification for face recognition. Inf. Sci. 433-434: 17-36 (2018) - [j113]Jie Wen, Yong Xu, Zuoyong Li, Zhongli Ma, Yuanrong Xu:
Inter-class sparsity based discriminative least square regression. Neural Networks 102: 36-47 (2018) - [j112]Jie Wen, Xiaozhao Fang, Yong Xu, Chunwei Tian, Lunke Fei:
Low-rank representation with adaptive graph regularization. Neural Networks 108: 83-96 (2018) - [j111]Cairong Zhao, Xuekuan Wang, Duoqian Miao, Hanli Wang, Wei-Shi Zheng, Yong Xu, David Zhang:
Maximal granularity structure and generalized multi-view discriminant analysis for person re-identification. Pattern Recognit. 79: 79-96 (2018) - [j110]Jie Wen, Bob Zhang, Yong Xu, Jian Yang, Na Han:
Adaptive weighted nonnegative low-rank representation. Pattern Recognit. 81: 326-340 (2018) - [j109]Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu, Jiguo Yu:
Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 974-987 (2018) - [j108]Zhihui Lai, Dongmei Mo, Wai Keung Wong, Yong Xu, Duoqian Miao, David Zhang:
Robust Discriminant Regression for Feature Extraction. IEEE Trans. Cybern. 48(8): 2472-2484 (2018) - [j107]Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Wai Keung Wong, Bingwu Fang:
Regularized Label Relaxation Linear Regression. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1006-1018 (2018) - [j106]Zheng Zhang, Yong Xu, Ling Shao, Jian Yang:
Discriminative Block-Diagonal Representation Learning for Image Recognition. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3111-3125 (2018) - [j105]Zheng Zhang, Ling Shao, Yong Xu, Li Liu, Jian Yang:
Marginal Representation Learning With Graph Structure Self-Adaptation. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4645-4659 (2018) - [j104]Xiaozhao Fang, Na Han, Jigang Wu, Yong Xu, Jian Yang, Wai Keung Wong, Xuelong Li:
Approximate Low-Rank Projection Learning for Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5228-5241 (2018) - [j103]Yong Xu, Lunke Fei, Jie Wen, David Zhang:
Discriminative and Robust Competitive Code for Palmprint Recognition. IEEE Trans. Syst. Man Cybern. Syst. 48(2): 232-241 (2018) - [c46]Peipei Kang, Xiaozhao Fang, Wei Zhang, Shaohua Teng, Lunke Fei, Yong Xu, Yubao Zheng:
Supervised Group Sparse Representation via Intra-class Low-Rank Constraint. CCBR 2018: 206-213 - [c45]Jingwen Wang, Wenhao Jiang, Lin Ma, Wei Liu, Yong Xu:
Bidirectional Attentive Fusion With Context Gating for Dense Video Captioning. CVPR 2018: 7190-7198 - [c44]Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong:
Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization. ECCV Workshops (4) 2018: 593-608 - [c43]Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen:
Highly-Economized Multi-view Binary Compression for Scalable Image Clustering. ECCV (12) 2018: 731-748 - [c42]Chunwei Tian, Yong Xu, Lunke Fei, Ke Yan:
Deep Learning for Image Denoising: A Survey. ICGEC 2018: 563-572 - [i9]Jingwen Wang, Wenhao Jiang, Lin Ma, Wei Liu, Yong Xu:
Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning. CoRR abs/1804.00100 (2018) - [i8]Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen:
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering. CoRR abs/1809.05992 (2018) - [i7]Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong:
Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization. CoRR abs/1809.05998 (2018) - [i6]Chunwei Tian, Yong Xu, Lunke Fei, Ke Yan:
Deep Learning for Image Denoising: A Survey. CoRR abs/1810.05052 (2018) - [i5]Chunwei Tian, Yong Xu, Junqian Wang, Nan Luo, Haizhang Zou:
Enhanced CNN for image denoising. CoRR abs/1810.11834 (2018) - 2017
- [j102]Yong Xu, Zhengming Li, Jian Yang, David Zhang:
A Survey of Dictionary Learning Algorithms for Face Recognition. IEEE Access 5: 8502-8514 (2017) - [j101]Ke Yan, Yong Xu, Xiaozhao Fang, Chunhou Zheng, Bin Liu:
Protein fold recognition based on sparse representation based classification. Artif. Intell. Medicine 79: 1-8 (2017) - [j100]Kai Guo, Shuai Wu, Yong Xu:
Face recognition using both visible light image and near-infrared image and a deep network. CAAI Trans. Intell. Technol. 2(1): 39-47 (2017) - [j99]Zuofeng Zhong, Yong Xu, Zuoyong Li, Yinnan Zhao:
Background modelling using discriminative motion representation. IET Comput. Vis. 11(6): 463-470 (2017) - [j98]Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang, Feng Liu, Yong Xu:
A joint-L2, 1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis. Neurocomputing 228: 263-269 (2017) - [j97]Yong Xu, Zhengming Li, Bob Zhang, Jian Yang, Jane You:
Sample diversity, representation effectiveness and robust dictionary learning for face recognition. Inf. Sci. 375: 171-182 (2017) - [j96]Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Shaohua Teng, Lunke Fei:
Orthogonal self-guided similarity preserving projection for classification and clustering. Neural Networks 88: 1-8 (2017) - [j95]Jian Yang, Lei Luo, Jianjun Qian, Ying Tai, Fanlong Zhang, Yong Xu:
Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 156-171 (2017) - [j94]Lunke Fei, Yong Xu, Xiaozhao Fang, Jian Yang:
Low rank representation with adaptive distance penalty for semi-supervised subspace classification. Pattern Recognit. 67: 252-262 (2017) - [j93]Yuwu Lu, Zhihui Lai, Yong Xu, Xuelong Li, David Zhang, Chun Yuan:
Nonnegative Discriminant Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. 27(7): 1392-1405 (2017) - [j92]Zhihui Lai, Yong Xu, Jian Yang, Linlin Shen, David Zhang:
Rotational Invariant Dimensionality Reduction Algorithms. IEEE Trans. Cybern. 47(11): 3733-3746 (2017) - [j91]Ke Yan, David Zhang, Yong Xu:
Correcting Instrumental Variation and Time-Varying Drift Using Parallel and Serial Multitask Learning. IEEE Trans. Instrum. Meas. 66(9): 2306-2316 (2017) - [j90]Zheng Zhang, Zhihui Lai, Yong Xu, Ling Shao, Jian Wu, Guo-Sen Xie:
Discriminative Elastic-Net Regularized Linear Regression. IEEE Trans. Image Process. 26(3): 1466-1481 (2017) - [j89]Zuofeng Zhong, Bob Zhang, Guangming Lu, Yong Zhao, Yong Xu:
An Adaptive Background Modeling Method for Foreground Segmentation. IEEE Trans. Intell. Transp. Syst. 18(5): 1109-1121 (2017) - [j88]Zhengming Li, Zhihui Lai, Yong Xu, Jian Yang, David Zhang:
A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 28(2): 278-293 (2017) - [j87]Yong Xu, Zuofeng Zhong, Jian Yang, Jane You, David Zhang:
A New Discriminative Sparse Representation Method for Robust Face Recognition via l2 Regularization. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2233-2242 (2017) - [c41]Yifan Gu, Zuofeng Zhong, Shuai Wu, Yong Xu:
Enlarging Effective Receptive Field of Convolutional Neural Networks for Better Semantic Segmentation. ACPR 2017: 388-393 - [c40]Lunke Fei, Shaohua Teng, Jigang Wu, Yong Xu, Jie Wen, Chunwei Tian:
Combining Enhanced Competitive Code with Compacted ST for 3D Palmprint Recognition. ACPR 2017: 512-517 - [c39]Lunke Fei, Yong Xu, Shaohua Teng, Wei Zhang, Wenliang Tang, Xiaozhao Fang:
Local Orientation Binary Pattern with Use for Palmprint Recognition. CCBR 2017: 213-220 - [c38]Mengdie Chu, Shuai Wu, Yifan Gu, Yong Xu:
Rich Features and Precise Localization with Region Proposal Network for Object Detection. CCBR 2017: 605-614 - [c37]Zuofeng Zhong, Zheng Zhang, Yong Xu:
Projective Representation Learning for Discriminative Face Recognition. CCCV (2) 2017: 3-15 - [c36]Hansheng Fang, Jie Wen, Yong Xu:
Robust Face Recognition Against Eyeglasses Interference by Integrating Local and Global Facial Features. CCCV (2) 2017: 51-61 - [c35]Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo:
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CVPR 2017: 945-954 - [c34]Jixiang Dong, Chunwei Tian, Yong Xu:
Face liveness detection using color gradient features. SPAC 2017: 377-382 - [e1]Jie Zhou, Yunhong Wang, Zhenan Sun, Yong Xu, Linlin Shen, Jianjiang Feng, Shiguang Shan, Yu Qiao, Zhenhua Guo, Shiqi Yu:
Biometric Recognition - 12th Chinese Conference, CCBR 2017, Shenzhen, China, October 28-29, 2017, Proceedings. Lecture Notes in Computer Science 10568, Springer 2017, ISBN 978-3-319-69922-6 [contents] - [i4]Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo:
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CoRR abs/1705.00609 (2017) - [i3]Zheng Zhang, Yong Xu, Ling Shao, Jian Yang:
Discriminative Block-Diagonal Representation Learning for Image Recognition. CoRR abs/1707.03548 (2017) - 2016
- [b2]David Zhang, Yong Xu, Wangmeng Zuo:
Discriminative Learning in Biometrics. Springer 2016, ISBN 978-981-10-2055-1, pp. 1-266 - [b1]David Zhang, Fangmei Chen, Yong Xu:
Computer Models for Facial Beauty Analysis. Springer 2016, ISBN 978-3-319-32596-5, pp. 3-263 - [j86]Yong Xu, Jie Wen, Lunke Fei, Zheng Zhang:
Review of Video and Image Defogging Algorithms and Related Studies on Image Restoration and Enhancement. IEEE Access 4: 165-188 (2016) - [j85]Yong Xu, Jixiang Dong, Bob Zhang, Daoyun Xu:
Background modeling methods in video analysis: A review and comparative evaluation. CAAI Trans. Intell. Technol. 1(1): 43-60 (2016) - [j84]Yong Xu, Yuwu Lu:
Corrigendum to "Adaptive Weighted Fusion: A novel fusion approach for image classification" Neurocomputing, volume 168 (2015), 566-574. Neurocomputing 171: 1692 (2016) - [j83]Lunke Fei, Yong Xu, Bob Zhang, Xiaozhao Fang, Jie Wen:
Low-rank representation integrated with principal line distance for contactless palmprint recognition. Neurocomputing 218: 264-275 (2016) - [j82]Yuwu Lu, Zhihui Lai, Yong Xu, Jane You, Xuelong Li, Chun Yuan:
Projective robust nonnegative factorization. Inf. Sci. 364-365: 16-32 (2016) - [j81]Lunke Fei, Yong Xu, Wenliang Tang, David Zhang:
Double-orientation code and nonlinear matching scheme for palmprint recognition. Pattern Recognit. 49: 89-101 (2016) - [j80]Zhaoze Zhou, Wei-Shi Zheng, Jianfang Hu, Yong Xu, Jane You:
One-pass online learning: A local approach. Pattern Recognit. 51: 346-357 (2016) - [j79]Zuoyong Li, Guanghai Liu, David Zhang, Yong Xu:
Robust single-object image segmentation based on salient transition region. Pattern Recognit. 52: 317-331 (2016) - [j78]Yong Xu, Zheng Zhang, Guangming Lu, Jian Yang:
Approximately symmetrical face images for image preprocessing in face recognition and sparse representation based classification. Pattern Recognit. 54: 68-82 (2016) - [j77]Zizhu Fan, Yong Xu, Ming Ni, Xiaozhao Fang, David Zhang:
Individualized learning for improving kernel Fisher discriminant analysis. Pattern Recognit. 58: 100-109 (2016) - [j76]Lunke Fei, Yong Xu, David Zhang:
Half-orientation extraction of palmprint features. Pattern Recognit. Lett. 69: 35-41 (2016) - [j75]Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Chun-Hou Zheng, Dong Wang, Qi Zhu:
A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 13(2): 392-398 (2016) - [j74]Dong Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu:
Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 13(6): 1059-1067 (2016) - [j73]Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Wai Keung Wong:
Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation. IEEE Trans. Cybern. 46(8): 1828-1838 (2016) - [j72]Yuwu Lu, Zhihui Lai, Yong Xu, Xuelong Li, David Zhang, Chun Yuan:
Low-Rank Preserving Projections. IEEE Trans. Cybern. 46(8): 1900-1913 (2016) - [j71]Lunke Fei, Bob Zhang, Yong Xu, Liping Yan:
Palmprint Recognition Using Neighboring Direction Indicator. IEEE Trans. Hum. Mach. Syst. 46(6): 787-798 (2016) - [j70]Yong Xu, Xiaozhao Fang, Jian Wu, Xuelong Li, David Zhang:
Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation. IEEE Trans. Image Process. 25(2): 850-863 (2016) - [j69]Zhihui Lai, Wai Keung Wong, Yong Xu, Jian Yang, David Zhang:
Approximate Orthogonal Sparse Embedding for Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. 27(4): 723-735 (2016) - [c33]Tianqi Wang, Ke Yan, Yong Xu, Jin-Xing Liu:
An Adaptive Weighted Degree Kernel to Predict the Splice Site. CCBR 2016: 739-746 - [c32]Lezhen Wei, Shuai Wu, Jian Zhang, Yong Xu:
Random Walk Based Global Feature for Disease Gene Identification. CCPR (2) 2016: 464-473 - [c31]Zheng Zhang, Yong Xu, Cheng-Lin Liu:
Natural Scene Character Recognition Using Robust PCA and Sparse Representation. DAS 2016: 340-345 - [c30]Rui Yan, Jie Wen, Jian Cao, Yong Xu, Jian Yang:
An Optimized Naive Bayesian Method for Face Recognition. ICCSIP 2016: 126-135 - [i2]Zheng Zhang, Yong Xu, Jian Yang, Xuelong Li, David Zhang:
A survey of sparse representation: algorithms and applications. CoRR abs/1602.07017 (2016) - [i1]Zheng Zhang, Yong Xu, Cheng-Lin Liu:
Natural Scene Character Recognition Using Robust PCA and Sparse Representation. CoRR abs/1606.04616 (2016) - 2015
- [j68]Zheng Zhang, Yong Xu, Jian Yang, Xuelong Li, David Zhang:
A Survey of Sparse Representation: Algorithms and Applications. IEEE Access 3: 490-530 (2015) - [j67]Fangmei Chen, Yong Xu, David Zhang, Kai Chen:
2D facial landmark model design by combining key points and inserted points. Expert Syst. Appl. 42(21): 7858-7868 (2015) - [j66]Yong Xu, Xiaozhao Fang, Jane You, Yan Chen, Hong Liu:
Noise-free representation based classification and face recognition experiments. Neurocomputing 147: 307-314 (2015) - [j65]Zuoyong Li, Yong Cheng, Kezong Tang, Yong Xu, David Zhang:
A salt & pepper noise filter based on local and global image information. Neurocomputing 159: 172-185 (2015) - [j64]Yong Xu, Yuwu Lu:
Adaptive weighted fusion: A novel fusion approach for image classification. Neurocomputing 168: 566-574 (2015) - [j63]Yong Xu, Bob Zhang, Zuofeng Zhong:
Multiple representations and sparse representation for image classification. Pattern Recognit. Lett. 68: 9-14 (2015) - [j62]Jin-Xing Liu, Yong Xu, Chun-Hou Zheng, Heng Kong, Zhihui Lai:
RPCA-Based Tumor Classification Using Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 964-970 (2015) - [j61]Wai Keung Wong, Zhihui Lai, Yong Xu, Jiajun Wen, Chu Po Ho:
Joint Tensor Feature Analysis For Visual Object Recognition. IEEE Trans. Cybern. 45(11): 2425-2436 (2015) - [j60]Yong Xu, Lunke Fei, David Zhang:
Combining Left and Right Palmprint Images for More Accurate Personal Identification. IEEE Trans. Image Process. 24(2): 549-559 (2015) - [j59]Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Wai Keung Wong:
Learning a Nonnegative Sparse Graph for Linear Regression. IEEE Trans. Image Process. 24(9): 2760-2771 (2015) - [j58]Fanlong Zhang, Jian Yang, Jianjun Qian, Yong Xu:
Nuclear Norm-Based 2-DPCA for Extracting Features From Images. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2247-2260 (2015) - [c29]Chengyan Lin, Yuwu Lu, Jian Wu, Yong Xu:
Low Rank Analysis of Eye Image Sequence - A Novel Basis for Face Liveness Detection. CCBR 2015: 11-18 - [c28]Ke Yan, Jin-Xing Liu, Yong Xu:
An Improved Denoising Method Based on Wavelet Transform for Processing Bases Sequence Images. ICIC (1) 2015: 357-365 - [c27]Xiao-Dan Wang, Jin-Xing Liu, Yong Xu, Jian Zhang:
A Survey of Multiple Sequence Alignment Techniques. ICIC (1) 2015: 529-538 - [c26]Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Dong Wang, Chun-Hou Zheng, Junliang Shang:
Semi-supervised Feature Extraction for RNA-Seq Data Analysis. ICIC (3) 2015: 679-685 - [c25]Xiaozhao Fang, Yong Xu, Zheng Zhang, Zhihui Lai, Linlin Shen:
Orthogonal self-guided similarity preserving projections. ICIP 2015: 344-348 - 2014
- [j57]Xiaozhao Fang, Yong Xu, Xuelong Li, Zizhu Fan, Hong Liu, Yan Chen:
Locality and similarity preserving embedding for feature selection. Neurocomputing 128: 304-315 (2014) - [j56]Yong Xu, Xuelong Li, Jian Yang, David Zhang:
Integrate the original face image and its mirror image for face recognition. Neurocomputing 131: 191-199 (2014) - [j55]Yong Xu, Xiaozhao Fang, Qi Zhu, Yan Chen, Jane You, Hong Liu:
Modified minimum squared error algorithm for robust classification and face recognition experiments. Neurocomputing 135: 253-261 (2014) - [j54]Jian-Xun Mi, Yong Xu:
A comparative study and improvement of two ICA using reference signal methods. Neurocomputing 137: 157-164 (2014) - [j53]Zuoyong Li, Guanghai Liu, Yong Xu, Yong Cheng:
Modified directional weighted filter for removal of salt & pepper noise. Pattern Recognit. Lett. 40: 113-120 (2014) - [j52]Fangmei Chen, Yong Xu, David Zhang:
A New Hypothesis on Facial Beauty Perception. ACM Trans. Appl. Percept. 11(2): 8:1-8:20 (2014) - [j51]Zhihui Lai, Yong Xu, Zhong Jin, David Zhang:
Human Gait Recognition via Sparse Discriminant Projection Learning. IEEE Trans. Circuits Syst. Video Technol. 24(10): 1651-1662 (2014) - [j50]Jiajun Wen, Yong Xu, Jinhui Tang, Yinwei Zhan, Zhihui Lai, Xiao-Tang Guo:
Joint Video Frame Set Division and Low-Rank Decomposition for Background Subtraction. IEEE Trans. Circuits Syst. Video Technol. 24(12): 2034-2048 (2014) - [j49]Yong Xu, Xuelong Li, Jian Yang, Zhihui Lai, David Zhang:
Integrating Conventional and Inverse Representation for Face Recognition. IEEE Trans. Cybern. 44(10): 1738-1746 (2014) - [j48]Yong Xu, Xiaozhao Fang, Xuelong Li, Jiang Yang, Jane You, Hong Liu, Shaohua Teng:
Data Uncertainty in Face Recognition. IEEE Trans. Cybern. 44(10): 1950-1961 (2014) - [j47]Zizhu Fan, Yong Xu, Wangmeng Zuo, Jian Yang, Jinhui Tang, Zhihui Lai, David Zhang:
Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models. IEEE Trans. Neural Networks Learn. Syst. 25(8): 1538-1552 (2014) - [j46]Zhihui Lai, Wai Keung Wong, Yong Xu, Cairong Zhao, Mingming Sun:
Sparse Alignment for Robust Tensor Learning. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1779-1792 (2014) - [j45]Zhihui Lai, Yong Xu, Qingcai Chen, Jian Yang, David Zhang:
Multilinear Sparse Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1942-1950 (2014) - [c24]Abdullah Alfazi, Talal H. Noor, Quan Z. Sheng, Yong Xu:
Towards Ontology-Enhanced Cloud Services Discovery. ADMA 2014: 616-629 - [c23]Ke Yan, Yong Xu, Jian Zhang:
Automatic Two Phase Sparse Representation Method and Face Recognition Experiments. CCBR 2014: 22-30 - [c22]Jing Li, Bin Li, Yong Xu, Kaixuan Lu, Ke Yan, Lunke Fei:
Disguised face detection and recognition under the complex background. CIBIM 2014: 87-93 - [c21]Dong Xie, Yongrui Qin, Quan Z. Sheng, Yong Xu:
Managing Uncertainties in RFID Applications - A Survey. ICEBE 2014: 220-225 - [c20]Bin Li, Jian Zhang, Zheng Zhang, Yong Xu:
A people counting method based on head detection and tracking. SMARTCOMP 2014: 136-141 - [c19]Jiangang Ma, Quan Z. Sheng, Lina Yao, Yong Xu, Ali Shemshadi:
Keyword Search over Web Documents Based on Earth Mover's Distance. WISE (1) 2014: 256-265 - 2013
- [j44]Jin-Xing Liu, Yutian Wang, Chun-Hou Zheng, Wen Sha, Jian-Xun Mi, Yong Xu:
Robust PCA based method for discovering differentially expressed genes. BMC Bioinform. 14(S-8): S3 (2013) - [j43]Liwen He, Yong Xu, Yan Chen, Jiajun Wen:
Recent Advance on mean Shift Tracking: a Survey. Int. J. Image Graph. 13(3) (2013) - [j42]Yong Xu, Zizhu Fan, Minna Qiu, David Zhang, Jing-Yu Yang:
A sparse representation method of bimodal biometrics and palmprint recognition experiments. Neurocomputing 103: 164-171 (2013) - [j41]Yong Xu, Qi Zhu, Zizhu Fan, Yaowu Wang, Jeng-Shyang Pan:
From the idea of "sparse representation" to a representation-based transformation method for feature extraction. Neurocomputing 113: 168-176 (2013) - [j40]Yong Xu, Qi Zhu, Zizhu Fan, David Zhang, Jian-Xun Mi, Zhihui Lai:
Using the idea of the sparse representation to perform coarse-to-fine face recognition. Inf. Sci. 238: 138-148 (2013) - [j39]Ruzhong Cheng, Yong Zhao, Zhichao Li, Weigang Jiang, Xin'an Wang, Yong Xu:
Panorama parking assistant system with improved particle swarm optimization method. J. Electronic Imaging 22(4): 041123 (2013) - [j38]Yong Xu, Qi Zhu:
A simple and fast representation-based face recognition method. Neural Comput. Appl. 22(7-8): 1543-1549 (2013) - [j37]Qi Zhu, Yong Xu:
Multi-directional two-dimensional PCA with matching score level fusion for face recognition. Neural Comput. Appl. 23(1): 169-174 (2013) - [j36]Yong Xu, Zhengming Li, Jeng-Shyang Pan, Jing-Yu Yang:
Face recognition based on fusion of multi-resolution Gabor features. Neural Comput. Appl. 23(5): 1251-1256 (2013) - [j35]Yong Xu, Xingjie Zhu, Zhengming Li, Guang-Hai Liu, Yuwu Lu, Hong Liu:
Using the original and 'symmetrical face' training samples to perform representation based two-step face recognition. Pattern Recognit. 46(4): 1151-1158 (2013) - [j34]Yong Xu, Qi Zhu, Zizhu Fan, Minna Qiu, Yan Chen, Hong Liu:
Coarse to fine K nearest neighbor classifier. Pattern Recognit. Lett. 34(9): 980-986 (2013) - [j33]Jianjun Qian, Jian Yang, Yong Xu:
Local Structure-Based Image Decomposition for Feature Extraction With Applications to Face Recognition. IEEE Trans. Image Process. 22(9): 3591-3603 (2013) - [j32]Zhihui Lai, Yong Xu, Jian Yang, Jinhui Tang, David Zhang:
Sparse Tensor Discriminant Analysis. IEEE Trans. Image Process. 22(10): 3904-3915 (2013) - [j31]Jian Yang, Delin Chu, Lei Zhang, Yong Xu, Jingyu Yang:
Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition. IEEE Trans. Neural Networks Learn. Syst. 24(7): 1023-1035 (2013) - [c18]Jialu Zhao, Yan Chen, Xuanyi Zhuang, Yong Xu:
Posterior Probability Based Multi-classifier Fusion in Pedestrian Detection. ICGEC 2013: 323-329 - [c17]Qi Zhu, Yong Xu, Yuwu Lu, Jiajun Wen, Zizhu Fan, Zhengming Li:
Novel Matrix Based Feature Extraction Method for Face Recognition Using Gaborface Features. ICGEC 2013: 349-357 - [c16]Yong Xu, Jian Yang, Jiajie Xu, Qi Zhu, Zizhu Fan:
Design and Implementation of a Bimodal Face Recognition System. IScIDE 2013: 457-464 - [c15]Yong Xu, Jiajun Wen:
Detecting Robbery and Violent Scenarios. RVSP 2013: 25-30 - 2012
- [j30]Jin-Xing Liu, Chun-Hou Zheng, Yong Xu:
Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition. Comput. Biol. Medicine 42(5): 582-589 (2012) - [j29]Yong Xu, Wangmeng Zuo, Zizhu Fan:
Supervised sparse representation method with a heuristic strategy and face recognition experiments. Neurocomputing 79: 125-131 (2012) - [j28]Fengxi Song, Jane You, David Zhang, Yong Xu:
Impact of Full Rank Principal Component Analysis on Classification Algorithms for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 26(3) (2012) - [j27]Yong Xu, Binglei Xie, Jingyu Yang:
Theoretical analysis of locality preserving projection and a fast orthogonal locality preserving projection algorithm. J. Electronic Imaging 21(3): 033024 (2012) - [j26]Yong Xu, Qi Zhu, Jinghua Wang:
Breast cancer diagnosis based on a kernel orthogonal transform. Neural Comput. Appl. 21(8): 1865-1870 (2012) - [j25]Jian Yang, Lei Zhang, Yong Xu, Jing-Yu Yang:
Beyond sparsity: The role of L1-optimizer in pattern classification. Pattern Recognit. 45(3): 1104-1118 (2012) - [j24]Jinghua Wang, Jane You, Qin Li, Yong Xu:
Extract minimum positive and maximum negative features for imbalanced binary classification. Pattern Recognit. 45(3): 1136-1145 (2012) - [j23]Jinghua Wang, Jane You, Qin Li, Yong Xu:
Orthogonal discriminant vector for face recognition across pose. Pattern Recognit. 45(12): 4069-4079 (2012) - [j22]Zhihui Lai, Wai Keung Wong, Zhong Jin, Jian Yang, Yong Xu:
Sparse Approximation to the Eigensubspace for Discrimination. IEEE Trans. Neural Networks Learn. Syst. 23(12): 1948-1960 (2012) - [c14]Xiaozhao Fang, Yong Xu:
Combine the clustering algorithm and representation-based algorithm for concurrent classification of test samples. CISDA 2012: 1-5 - [c13]Chun-Hou Zheng, Jin-Xing Liu, Jian-Xun Mi, Yong Xu:
Identifying Characteristic Genes Based on Robust Principal Component Analysis. ICIC (3) 2012: 174-179 - [c12]Qi Zhu, Yong Xu, Jinghua Wang, Zizhu Fan:
Kernel based sparse representation for face recognition. ICPR 2012: 1703-1706 - [c11]Jinghua Wang, Yong Xu, Jane You:
Sparse residue for occluded face image reconstruction and classification. ICPR 2012: 1707-1710 - 2011
- [j21]Zuoyong Li, David Zhang, Yong Xu, Chuancai Liu:
Modified local entropy-based transition region extraction and thresholding. Appl. Soft Comput. 11(8): 5630-5638 (2011) - [j20]Yong Xu, Qi Zhu, David Zhang:
Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments. Neurocomputing 74(18): 3946-3952 (2011) - [j19]Yong Xu, David Zhang:
Accelerating the kernel-method-based feature extraction procedure from the viewpoint of numerical approximation. Neural Comput. Appl. 20(7): 1087-1096 (2011) - [j18]Guang-Hai Liu, Zuoyong Li, Lei Zhang, Yong Xu:
Image retrieval based on micro-structure descriptor. Pattern Recognit. 44(9): 2123-2133 (2011) - [j17]Yong Xu, David Zhang, Jian Yang, Jing-Yu Yang:
A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition. IEEE Trans. Circuits Syst. Video Technol. 21(9): 1255-1262 (2011) - [j16]Zizhu Fan, Yong Xu, David Dapeng Zhang:
Local Linear Discriminant Analysis Framework Using Sample Neighbors. IEEE Trans. Neural Networks 22(7): 1119-1132 (2011) - [c10]Yan Chen, Ling Zhang, Biyi Lin, Yong Xu, Xiaobo Ren:
Fighting Detection Based on Optical Flow Context Histogram. IBICA 2011: 95-98 - [c9]Cheng-li Sun, Yong Xu, Jie Jia, Yu He:
Detection of Protein Spots from Complex Region on Real Gel Image. ICIC (3) 2011: 632-640 - 2010
- [j15]Yong Xu, Fengxi Song, Ge Feng, Yingnan Zhao:
A novel local preserving projection scheme for use with face recognition. Expert Syst. Appl. 37(9): 6718-6721 (2010) - [j14]Jinghua Wang, Yong Xu, David Zhang, Jane You:
An efficient method for computing orthogonal discriminant vectors. Neurocomputing 73(10-12): 2168-2176 (2010) - [j13]Yong Xu, David Zhang, Jing-Yu Yang:
A feature extraction method for use with bimodal biometrics. Pattern Recognit. 43(3): 1106-1115 (2010) - [j12]Yong Xu, Aini Zhong, Jian Yang, David Zhang:
LPP solution schemes for use with face recognition. Pattern Recognit. 43(12): 4165-4176 (2010) - [c8]Yunlian Sun, Bo Shen, Yinghui Chen, Yong Xu:
Computerized Wrist Pulse Signal Diagnosis Using KPCA. ICMB 2010: 334-343
2000 – 2009
- 2009
- [j11]Yong Xu, Lu Yao, David Zhang, Jing-Yu Yang:
Improving the interest operator for face recognition. Expert Syst. Appl. 36(6): 9719-9728 (2009) - [j10]Yong Xu, Ge Feng, Yingnan Zhao:
One improvement to two-dimensional locality preserving projection method for use with face recognition. Neurocomputing 73(1-3): 245-249 (2009) - [c7]Xiangqian Wu, Kuanquan Wang, Yong Xu, David Zhang:
Differential Feature Analysis for Palmprint Authentication. CAIP 2009: 125-132 - [c6]Xiangqian Wu, Peipei Wang, Kuanquan Wang, Yong Xu:
Biometric cryptographic key generation based on city block distance. WACV 2009: 1-5 - 2008
- [j9]Yong Xu, David Zhang, Jian Yang, Jing-Yu Yang:
An approach for directly extracting features from matrix data and its application in face recognition. Neurocomputing 71(10-12): 1857-1865 (2008) - [c5]Yong Xu, David Zhang:
A New Solution Scheme of Unsupervised Locality Preserving Projection Method for the SSS Problem. SSPR/SPR 2008: 775-781 - 2007
- [j8]Yong Xu, David Zhang, Fengxi Song, Jing-Yu Yang, Zhong Jing, Miao Li:
A method for speeding up feature extraction based on KPCA. Neurocomputing 70(4-6): 1056-1061 (2007) - [j7]Fengxi Song, David Zhang, Yong Xu, Jizhong Wang:
Five New Feature Selection Metrics in Text Categorization. Int. J. Pattern Recognit. Artif. Intell. 21(6): 1085-1101 (2007) - [c4]Yong Xu, Chuancai Liu, Chongyang Zhang:
Determine the Kernel Parameter of KFDA Using a Minimum Search Algorithm. ICIC (2) 2007: 418-426 - [c3]Bo Shen, Yong Xu, Guangming Lu, David Zhang:
Detecting Iris Lacunae Based on Gaussian Filter. IIH-MSP 2007: 233-236 - 2006
- [j6]Yong Xu, David Zhang, Zhong Jin, Miao Li, Jing-Yu Yang:
A fast kernel-based nonlinear discriminant analysis for multi-class problems. Pattern Recognit. 39(6): 1026-1033 (2006) - [c2]Jian Yang, David Zhang, Yong Xu, Jing-Yu Yang:
Recognize Color Face Images Using Complex Eigenfaces. ICB 2006: 64-68 - [c1]Yong Xu, Yingnan Zhao:
Comparison Study on SVD-Based Face Classification. IIH-MSP 2006: 343-346 - 2005
- [j5]Jian Yang, David Zhang, Yong Xu, Jing-Yu Yang:
Two-dimensional discriminant transform for face recognition. Pattern Recognit. 38(7): 1125-1129 (2005) - 2004
- [j4]Yong Xu, Jing-Yu Yang, Zhong Jin:
A novel method for Fisher discriminant analysis. Pattern Recognit. 37(2): 381-384 (2004) - [j3]Yong Xu, Jing-Yu Yang, Jian Yang:
A reformative kernel Fisher discriminant analysis. Pattern Recognit. 37(6): 1299-1302 (2004) - [j2]Yong Xu, Jing-Yu Yang, Jianfeng Lu, Dongjun Yu:
An efficient renovation on kernel Fisher discriminant analysis and face recognition experiments. Pattern Recognit. 37(10): 2091-2094 (2004) - 2003
- [j1]Yong Xu, Jing-Yu Yang, Zhong Jin:
Theory analysis on FSLDA and ULDA. Pattern Recognit. 36(12): 3031-3033 (2003)
Coauthor Index
[j230] [j227] [j226] [j220] [j211] [j209] [c73] [i39] [j205] [j184] [j182] [j181] [c66] [c63] [j178] [j171] [j169] [i29] [j158] [j150] [j149] [c57] [c56] [j143] [j142] [j138] [c51] [c50] [j127] [j124] [j119] [j118] [c49] [i10] [j112] [j103] [c46] [c42] [i6] [j96] [j94] [c40] [c39] [j86] [j83] [j81] [j76] [j71] [j60] [c22]
[j230] [j226] [j223] [j220] [j212] [j211] [j210] [j209] [j207] [c76] [c75] [c73] [c72] [c71] [i39] [i38] [j203] [j195] [j193] [j188] [j186] [j185] [j184] [j182] [j181] [c69] [c68] [c67] [c66] [c63] [c62] [i36] [i35] [i34] [i33] [j180] [j178] [j176] [j173] [j172] [j171] [c61] [c60] [c59] [i31] [i30] [i29] [j164] [j157] [j156] [j149] [c57] [c56] [j138] [j136] [c51] [c50] [j127] [j124] [j119] [j118] [c49] [j115] [j113] [j112] [j110] [j103] [c44] [i7] [c40] [c36] [j86] [j83] [c30]
Wai Keung Wong
aka: Waikeung Wong
aka: Waikeung Wong
[j221] [j212] [j208] [j193] [j188] [j185] [j173] [j170] [i24] [j141] [j139] [j123] [j122] [j121] [i12] [j110] [j106] [j105] [j104] [j102] [j97] [j95] [j94] [j92] [j88] [j87] [i3] [j78] [j69] [c30] [i2] [j68] [j58] [j56] [j49] [j47] [j45] [j33] [j32] [j31] [c16] [j25] [j22] [j17] [j12] [j9] [c2] [j5] [j3]
David Zhang 0001
aka: David Dapeng Zhang
aka: David Dapeng Zhang
[j235] [j234] [j233] [j232] [j212] [j197] [j188] [j185] [j171] [j170] [j169] [j168] [j161] [j160] [j155] [j152] [j148] [i26] [i21] [i18] [j147] [j135] [j133] [i16] [j114] [j111] [j108] [j103] [j102] [j93] [j92] [j91] [j88] [j87] [b2] [b1] [j81] [j79] [j77] [j76] [j72] [j70] [j69] [i2] [j68] [j67] [j65] [j60] [j56] [j52] [j51] [j49] [j47] [j45] [j42] [j40] [j32] [j28] [j21] [j20] [j19] [j17] [j16] [j14] [j13] [j12] [j11] [c7] [j9] [c5] [j8] [j7] [c3] [j6] [c2] [j5]
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