Theory analysis on FSLDA and ULDA. - Yong Xu 001; Jing-Yu Yang 001; Zhong Jin (Pattern Recognit., 2003)

A novel method for Fisher discriminant analysis. - Yong Xu 001; Jing-Yu Yang 001; Zhong Jin (Pattern Recognit., 2004)

An efficient renovation on kernel Fisher discriminant analysis and face recognition experiments. - Yong Xu 001; Jing-Yu Yang 001; Jianfeng Lu 003; Dongjun Yu (Pattern Recognit., 2004)

A reformative kernel Fisher discriminant analysis. - Yong Xu 001; Jing-Yu Yang 001; Jian Yang 003 (Pattern Recognit., 2004)

Two-dimensional discriminant transform for face recognition. - Jian Yang 003; David Zhang 001; Yong Xu 001; Jing-Yu Yang 001 (Pattern Recognit., 2005)

Recognize Color Face Images Using Complex Eigenfaces. - Jian Yang 003; David Zhang 001; Yong Xu 001; Jing-Yu Yang 001 (ICB, 2006)

Comparison Study on SVD-Based Face Classification. - Yong Xu 001; Yingnan Zhao (IIH-MSP, 2006)

A fast kernel-based nonlinear discriminant analysis for multi-class problems. - Yong Xu 001; David Zhang 001; Zhong Jin; Miao Li; Jing-Yu Yang 001 (Pattern Recognit., 2006)

Determine the Kernel Parameter of KFDA Using a Minimum Search Algorithm. - Yong Xu 001; Chuancai Liu; Chongyang Zhang (ICIC (2), 2007)

Detecting Iris Lacunae Based on Gaussian Filter. - Bo Shen; Yong Xu 001; Guangming Lu 002; David Zhang 001 (IIH-MSP, 2007)

A method for speeding up feature extraction based on KPCA. - Yong Xu 001; David Zhang 001; Fengxi Song; Jing-Yu Yang 001; Zhong Jing; Miao Li (Neurocomputing, 2007)

Five New Feature Selection Metrics in Text Categorization. - Fengxi Song; David Zhang 001; Yong Xu 001; Jizhong Wang (Int. J. Pattern Recognit. Artif. Intell., 2007)

A New Solution Scheme of Unsupervised Locality Preserving Projection Method for the SSS Problem. - Yong Xu 001; David Zhang 001 (SSPR/SPR, 2008)

An approach for directly extracting features from matrix data and its application in face recognition. - Yong Xu 001; David Zhang 001; Jian Yang 003; Jing-Yu Yang 001 (Neurocomputing, 2008)

Differential Feature Analysis for Palmprint Authentication. - Xiangqian Wu 002; Kuanquan Wang; Yong Xu 001; David Zhang 001 (CAIP, 2009)

Biometric cryptographic key generation based on city block distance. - Xiangqian Wu 002; Peipei Wang; Kuanquan Wang; Yong Xu 001 (WACV, 2009)

Improving the interest operator for face recognition. - Yong Xu 001; Lu Yao; David Zhang 001; Jing-Yu Yang 001 (Expert Syst. Appl., 2009)

One improvement to two-dimensional locality preserving projection method for use with face recognition. - Yong Xu 001; Ge Feng; Yingnan Zhao (Neurocomputing, 2009)

Computerized Wrist Pulse Signal Diagnosis Using KPCA. - Yunlian Sun; Bo Shen; Yinghui Chen; Yong Xu 001 (ICMB, 2010)

A novel local preserving projection scheme for use with face recognition. - Yong Xu 001; Fengxi Song; Ge Feng; Yingnan Zhao (Expert Syst. Appl., 2010)

An efficient method for computing orthogonal discriminant vectors. - Jinghua Wang; Yong Xu 001; David Zhang 001; Jane You (Neurocomputing, 2010)

A feature extraction method for use with bimodal biometrics. - Yong Xu 001; David Zhang 001; Jing-Yu Yang 001 (Pattern Recognit., 2010)

LPP solution schemes for use with face recognition. - Yong Xu 001; Aini Zhong; Jian Yang 003; David Zhang 001 (Pattern Recognit., 2010)

Fighting Detection Based on Optical Flow Context Histogram. - Yan Chen 018; Ling Zhang; Biyi Lin; Yong Xu 001; Xiaobo Ren (IBICA, 2011)

Detection of Protein Spots from Complex Region on Real Gel Image. - Cheng-li Sun; Yong Xu 001; Jie Jia; Yu He (ICIC (3), 2011)

Modified local entropy-based transition region extraction and thresholding. - Zuoyong Li; David Zhang 001; Yong Xu 001; Chuancai Liu (Appl. Soft Comput., 2011)

Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments. - Yong Xu 001; Qi Zhu 001; David Zhang 001 (Neurocomputing, 2011)

Accelerating the kernel-method-based feature extraction procedure from the viewpoint of numerical approximation. - Yong Xu 001; David Zhang 001 (Neural Comput. Appl., 2011)

Image retrieval based on micro-structure descriptor. - Guang-Hai Liu 001; Zuoyong Li; Lei Zhang 006; Yong Xu 001 (Pattern Recognit., 2011)

A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition. - Yong Xu 001; David Zhang 001; Jian Yang 003; Jing-Yu Yang 001 (IEEE Trans. Circuits Syst. Video Technol., 2011)

Local Linear Discriminant Analysis Framework Using Sample Neighbors. - Zizhu Fan; Yong Xu 001; David Dapeng Zhang (IEEE Trans. Neural Networks, 2011)

Combine the clustering algorithm and representation-based algorithm for concurrent classification of test samples. - Xiaozhao Fang; Yong Xu 001 (CISDA, 2012)

Identifying Characteristic Genes Based on Robust Principal Component Analysis. - Chun-Hou Zheng 001; Jin-Xing Liu 001; Jian-Xun Mi; Yong Xu 001 (ICIC (3), 2012)

Sparse residue for occluded face image reconstruction and classification. - Jinghua Wang; Yong Xu 001; Jane You (ICPR, 2012)

Kernel based sparse representation for face recognition. - Qi Zhu 001; Yong Xu 001; Jinghua Wang; Zizhu Fan (ICPR, 2012)

Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition. - Jin-Xing Liu 001; Chun-Hou Zheng 001; Yong Xu 001 (Comput. Biol. Medicine, 2012)

Supervised sparse representation method with a heuristic strategy and face recognition experiments. - Yong Xu 001; Wangmeng Zuo; Zizhu Fan (Neurocomputing, 2012)

Impact of Full Rank Principal Component Analysis on Classification Algorithms for Face Recognition. - Fengxi Song; Jane You; David Zhang 001; Yong Xu 001 (Int. J. Pattern Recognit. Artif. Intell., 2012)

Theoretical analysis of locality preserving projection and a fast orthogonal locality preserving projection algorithm. - Yong Xu 001; Binglei Xie; Jingyu Yang 001 (J. Electronic Imaging, 2012)

Breast cancer diagnosis based on a kernel orthogonal transform. - Yong Xu 001; Qi Zhu 001; Jinghua Wang (Neural Comput. Appl., 2012)

Extract minimum positive and maximum negative features for imbalanced binary classification. - Jinghua Wang; Jane You; Qin Li 001; Yong Xu 001 (Pattern Recognit., 2012)

Orthogonal discriminant vector for face recognition across pose. - Jinghua Wang; Jane You; Qin Li 001; Yong Xu 001 (Pattern Recognit., 2012)

Beyond sparsity: The role of L1-optimizer in pattern classification. - Jian Yang 003; Lei Zhang 006; Yong Xu 001; Jing-Yu Yang 001 (Pattern Recognit., 2012)

Sparse Approximation to the Eigensubspace for Discrimination. - Zhihui Lai 001; Wai Keung Wong; Zhong Jin; Jian Yang 003; Yong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Posterior Probability Based Multi-classifier Fusion in Pedestrian Detection. - Jialu Zhao; Yan Chen 018; Xuanyi Zhuang; Yong Xu 001 (ICGEC, 2013)

Novel Matrix Based Feature Extraction Method for Face Recognition Using Gaborface Features. - Qi Zhu 001; Yong Xu 001; Yuwu Lu; Jiajun Wen 001; Zizhu Fan; Zhengming Li (ICGEC, 2013)

Design and Implementation of a Bimodal Face Recognition System. - Yong Xu 001; Jian Yang 003; Jiajie Xu 002; Qi Zhu 001; Zizhu Fan (IScIDE, 2013)

Detecting Robbery and Violent Scenarios. - Yong Xu 001; Jiajun Wen 001 (RVSP, 2013)

Robust PCA based method for discovering differentially expressed genes. - Jin-Xing Liu 001; Yutian Wang; Chun-Hou Zheng 001; Wen Sha; Jian-Xun Mi; Yong Xu 001 (BMC Bioinform., 2013)

Recent Advance on mean Shift Tracking: a Survey. - Liwen He; Yong Xu 001; Yan Chen 018; Jiajun Wen 001 (Int. J. Image Graph., 2013)

A sparse representation method of bimodal biometrics and palmprint recognition experiments. - Yong Xu 001; Zizhu Fan; Minna Qiu; David Zhang 001; Jing-Yu Yang 001 (Neurocomputing, 2013)

From the idea of "sparse representation" to a representation-based transformation method for feature extraction. - Yong Xu 001; Qi Zhu 001; Zizhu Fan; Yaowu Wang; Jeng-Shyang Pan 001 (Neurocomputing, 2013)

Using the idea of the sparse representation to perform coarse-to-fine face recognition. - Yong Xu 001; Qi Zhu 001; Zizhu Fan; David Zhang 001; Jian-Xun Mi; Zhihui Lai 001 (Inf. Sci., 2013)

Panorama parking assistant system with improved particle swarm optimization method. - Ruzhong Cheng; Yong Zhao 010; Zhichao Li; Weigang Jiang; Xin'an Wang; Yong Xu 001 (J. Electronic Imaging, 2013)

Face recognition based on fusion of multi-resolution Gabor features. - Yong Xu 001; Zhengming Li; Jeng-Shyang Pan 001; Jing-Yu Yang 001 (Neural Comput. Appl., 2013)

A simple and fast representation-based face recognition method. - Yong Xu 001; Qi Zhu 001 (Neural Comput. Appl., 2013)

Multi-directional two-dimensional PCA with matching score level fusion for face recognition. - Qi Zhu 001; Yong Xu 001 (Neural Comput. Appl., 2013)

Using the original and 'symmetrical face' training samples to perform representation based two-step face recognition. - Yong Xu 001; Xingjie Zhu; Zhengming Li; Guang-Hai Liu 001; Yuwu Lu; Hong Liu 008 (Pattern Recognit., 2013)

Coarse to fine K nearest neighbor classifier. - Yong Xu 001; Qi Zhu 001; Zizhu Fan; Minna Qiu; Yan Chen 018; Hong Liu 008 (Pattern Recognit. Lett., 2013)

Sparse Tensor Discriminant Analysis. - Zhihui Lai 001; Yong Xu 001; Jian Yang 003; Jinhui Tang 001; David Zhang 001 (IEEE Trans. Image Process., 2013)

Local Structure-Based Image Decomposition for Feature Extraction With Applications to Face Recognition. - Jianjun Qian; Jian Yang 003; Yong Xu 001 (IEEE Trans. Image Process., 2013)

Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition. - Jian Yang 003; Delin Chu; Lei Zhang 006; Yong Xu 001; Jingyu Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Towards Ontology-Enhanced Cloud Services Discovery. - Abdullah Alfazi; Talal H. Noor; Quan Z. Sheng; Yong Xu 001 (ADMA, 2014)

Automatic Two Phase Sparse Representation Method and Face Recognition Experiments. - Ke Yan 003; Yong Xu 001; Jian Zhang 002 (CCBR, 2014)

Disguised face detection and recognition under the complex background. - Jing Li; Bin Li; Yong Xu 001; Kaixuan Lu; Ke Yan 003; Lunke Fei (CIBIM, 2014)

Managing Uncertainties in RFID Applications - A Survey. - Dong Xie 002; Yongrui Qin; Quan Z. Sheng; Yong Xu 001 (ICEBE, 2014)

A people counting method based on head detection and tracking. - Bin Li; Jian Zhang 002; Zheng Zhang 006; Yong Xu 001 (SMARTCOMP, 2014)

Keyword Search over Web Documents Based on Earth Mover's Distance. - Jiangang Ma; Quan Z. Sheng; Lina Yao 001; Yong Xu 001; Ali Shemshadi (WISE (1), 2014)

Locality and similarity preserving embedding for feature selection. - Xiaozhao Fang; Yong Xu 001; Xuelong Li 001; Zizhu Fan; Hong Liu 008; Yan Chen 018 (Neurocomputing, 2014)

A comparative study and improvement of two ICA using reference signal methods. - Jian-Xun Mi; Yong Xu 001 (Neurocomputing, 2014)

Modified minimum squared error algorithm for robust classification and face recognition experiments. - Yong Xu 001; Xiaozhao Fang; Qi Zhu 001; Yan Chen 018; Jane You; Hong Liu 008 (Neurocomputing, 2014)

Integrate the original face image and its mirror image for face recognition. - Yong Xu 001; Xuelong Li 001; Jian Yang 003; David Zhang 001 (Neurocomputing, 2014)

Modified directional weighted filter for removal of salt & pepper noise. - Zuoyong Li; Guanghai Liu 001; Yong Xu 001; Yong Cheng (Pattern Recognit. Lett., 2014)

A New Hypothesis on Facial Beauty Perception. - Fangmei Chen; Yong Xu 001; David Zhang 001 (ACM Trans. Appl. Percept., 2014)

Human Gait Recognition via Sparse Discriminant Projection Learning. - Zhihui Lai 001; Yong Xu 001; Zhong Jin; David Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2014)

Joint Video Frame Set Division and Low-Rank Decomposition for Background Subtraction. - Jiajun Wen 001; Yong Xu 001; Jinhui Tang 001; Yinwei Zhan; Zhihui Lai 001; Xiao-Tang Guo (IEEE Trans. Circuits Syst. Video Technol., 2014)

Data Uncertainty in Face Recognition. - Yong Xu 001; Xiaozhao Fang; Xuelong Li 001; Jiang Yang; Jane You; Hong Liu 008; Shaohua Teng (IEEE Trans. Cybern., 2014)

Integrating Conventional and Inverse Representation for Face Recognition. - Yong Xu 001; Xuelong Li 001; Jian Yang 003; Zhihui Lai 001; David Zhang 001 (IEEE Trans. Cybern., 2014)

Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models. - Zizhu Fan; Yong Xu 001; Wangmeng Zuo; Jian Yang 003; Jinhui Tang 001; Zhihui Lai 001; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Sparse Alignment for Robust Tensor Learning. - Zhihui Lai 001; Wai Keung Wong; Yong Xu 001; Cairong Zhao; Mingming Sun 006 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Multilinear Sparse Principal Component Analysis. - Zhihui Lai 001; Yong Xu 001; Qingcai Chen; Jian Yang 003; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Low Rank Analysis of Eye Image Sequence - A Novel Basis for Face Liveness Detection. - Chengyan Lin; Yuwu Lu; Jian Wu; Yong Xu 001 (CCBR, 2015)

Semi-supervised Feature Extraction for RNA-Seq Data Analysis. - Jin-Xing Liu 001; Yong Xu 001; Ying-Lian Gao; Dong Wang 019; Chun-Hou Zheng 001; Junliang Shang (ICIC (3), 2015)

A Survey of Multiple Sequence Alignment Techniques. - Xiao-Dan Wang; Jin-Xing Liu 001; Yong Xu 001; Jian Zhang 002 (ICIC (1), 2015)

An Improved Denoising Method Based on Wavelet Transform for Processing Bases Sequence Images. - Ke Yan 003; Jin-Xing Liu 001; Yong Xu 001 (ICIC (1), 2015)

Orthogonal self-guided similarity preserving projections. - Xiaozhao Fang; Yong Xu 001; Zheng Zhang 006; Zhihui Lai 001; Linlin Shen (ICIP, 2015)

A Survey of Sparse Representation: Algorithms and Applications. - Zheng Zhang 006; Yong Xu 001; Jian Yang 003; Xuelong Li 001; David Zhang 001 (IEEE Access, 2015)

2D facial landmark model design by combining key points and inserted points. - Fangmei Chen; Yong Xu 001; David Zhang 001; Kai Chen 023 (Expert Syst. Appl., 2015)

A salt & pepper noise filter based on local and global image information. - Zuoyong Li; Yong Cheng; Kezong Tang; Yong Xu 001; David Zhang 001 (Neurocomputing, 2015)

Noise-free representation based classification and face recognition experiments. - Yong Xu 001; Xiaozhao Fang; Jane You; Yan Chen 018; Hong Liu 008 (Neurocomputing, 2015)

Adaptive weighted fusion: A novel fusion approach for image classification. - Yong Xu 001; Yuwu Lu (Neurocomputing, 2015)

Multiple representations and sparse representation for image classification. - Yong Xu 001; Bob Zhang 001; Zuofeng Zhong (Pattern Recognit. Lett., 2015)

RPCA-Based Tumor Classification Using Gene Expression Data. - Jin-Xing Liu 001; Yong Xu 001; Chun-Hou Zheng 001; Heng Kong; Zhihui Lai 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Joint Tensor Feature Analysis For Visual Object Recognition. - Wai Keung Wong; Zhihui Lai 001; Yong Xu 001; Jiajun Wen 001; Chu Po Ho (IEEE Trans. Cybern., 2015)

Learning a Nonnegative Sparse Graph for Linear Regression. - Xiaozhao Fang; Yong Xu 001; Xuelong Li 001; Zhihui Lai 001; Wai Keung Wong (IEEE Trans. Image Process., 2015)

Combining Left and Right Palmprint Images for More Accurate Personal Identification. - Yong Xu 001; Lunke Fei; David Zhang 001 (IEEE Trans. Image Process., 2015)

Nuclear Norm-Based 2-DPCA for Extracting Features From Images. - Fanlong Zhang; Jian Yang 003; Jianjun Qian; Yong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Computer Models for Facial Beauty Analysis - David Zhang 001; Fangmei Chen; Yong Xu 001 (Springer, 2016)

Discriminative Learning in Biometrics - David Zhang 001; Yong Xu 001; Wangmeng Zuo (Springer, 2016)

An Adaptive Weighted Degree Kernel to Predict the Splice Site. - Tianqi Wang; Ke Yan 003; Yong Xu 001; Jin-Xing Liu 001 (CCBR, 2016)

Random Walk Based Global Feature for Disease Gene Identification. - Lezhen Wei; Shuai Wu 001; Jian Zhang 002; Yong Xu 001 (CCPR (2), 2016)

Natural Scene Character Recognition Using Robust PCA and Sparse Representation. - Zheng Zhang 006; Yong Xu 001; Cheng-Lin Liu 001 (DAS, 2016)

An Optimized Naive Bayesian Method for Face Recognition. - Rui Yan; Jie Wen 001; Jian Cao; Yong Xu 001; Jian Yang 003 (ICCSIP, 2016)

Review of Video and Image Defogging Algorithms and Related Studies on Image Restoration and Enhancement. - Yong Xu 001; Jie Wen 001; Lunke Fei; Zheng Zhang 006 (IEEE Access, 2016)

Background modeling methods in video analysis: A review and comparative evaluation. - Yong Xu 001; Jixiang Dong; Bob Zhang 001; Daoyun Xu (CAAI Trans. Intell. Technol., 2016)

Corrigendum to "Adaptive Weighted Fusion: A novel fusion approach for image classification" Neurocomputing, volume 168 (2015), 566-574. - Yong Xu 001; Yuwu Lu (Neurocomputing, 2016)

Low-rank representation integrated with principal line distance for contactless palmprint recognition. - Lunke Fei; Yong Xu 001; Bob Zhang 001; Xiaozhao Fang; Jie Wen 001 (Neurocomputing, 2016)

Projective robust nonnegative factorization. - Yuwu Lu; Zhihui Lai 001; Yong Xu 001; Jane You; Xuelong Li 001; Chun Yuan (Inf. Sci., 2016)

Individualized learning for improving kernel Fisher discriminant analysis. - Zizhu Fan; Yong Xu 001; Ming Ni; Xiaozhao Fang; David Zhang 001 (Pattern Recognit., 2016)

Double-orientation code and nonlinear matching scheme for palmprint recognition. - Lunke Fei; Yong Xu 001; Wenliang Tang; David Zhang 001 (Pattern Recognit., 2016)

Robust single-object image segmentation based on salient transition region. - Zuoyong Li; Guanghai Liu 001; David Zhang 001; Yong Xu 001 (Pattern Recognit., 2016)

Approximately symmetrical face images for image preprocessing in face recognition and sparse representation based classification. - Yong Xu 001; Zheng Zhang 006; Guangming Lu 002; Jian Yang 003 (Pattern Recognit., 2016)

One-pass online learning: A local approach. - Zhaoze Zhou; Wei-Shi Zheng 001; Jianfang Hu; Yong Xu 001; Jane You (Pattern Recognit., 2016)

Half-orientation extraction of palmprint features. - Lunke Fei; Yong Xu 001; David Zhang 001 (Pattern Recognit. Lett., 2016)

A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data. - Jin-Xing Liu 001; Yong Xu 001; Ying-Lian Gao; Chun-Hou Zheng 001; Dong Wang 019; Qi Zhu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization. - Dong Wang 019; Jin-Xing Liu 001; Ying-Lian Gao; Chun-Hou Zheng 001; Yong Xu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation. - Xiaozhao Fang; Yong Xu 001; Xuelong Li 001; Zhihui Lai 001; Wai Keung Wong (IEEE Trans. Cybern., 2016)

Low-Rank Preserving Projections. - Yuwu Lu; Zhihui Lai 001; Yong Xu 001; Xuelong Li 001; David Zhang 001; Chun Yuan (IEEE Trans. Cybern., 2016)

Palmprint Recognition Using Neighboring Direction Indicator. - Lunke Fei; Bob Zhang 001; Yong Xu 001; Liping Yan (IEEE Trans. Hum. Mach. Syst., 2016)

Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation. - Yong Xu 001; Xiaozhao Fang; Jian Wu; Xuelong Li 001; David Zhang 001 (IEEE Trans. Image Process., 2016)

Approximate Orthogonal Sparse Embedding for Dimensionality Reduction. - Zhihui Lai 001; Wai Keung Wong; Yong Xu 001; Jian Yang 003; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Combining Enhanced Competitive Code with Compacted ST for 3D Palmprint Recognition. - Lunke Fei; Shaohua Teng; Jigang Wu; Yong Xu 001; Jie Wen 001; Chunwei Tian (ACPR, 2017)

Enlarging Effective Receptive Field of Convolutional Neural Networks for Better Semantic Segmentation. - Yifan Gu; Zuofeng Zhong; Shuai Wu 001; Yong Xu 001 (ACPR, 2017)

Rich Features and Precise Localization with Region Proposal Network for Object Detection. - Mengdie Chu; Shuai Wu 001; Yifan Gu; Yong Xu 001 (CCBR, 2017)

Local Orientation Binary Pattern with Use for Palmprint Recognition. - Lunke Fei; Yong Xu 001; Shaohua Teng; Wei Zhang 005; Wenliang Tang; Xiaozhao Fang (CCBR, 2017)

Robust Face Recognition Against Eyeglasses Interference by Integrating Local and Global Facial Features. - Hansheng Fang; Jie Wen 001; Yong Xu 001 (CCCV (2), 2017)

Projective Representation Learning for Discriminative Face Recognition. - Zuofeng Zhong; Zheng Zhang 006; Yong Xu 001 (CCCV (2), 2017)

Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. - Hongliang Yan; Yukang Ding; Peihua Li; Qilong Wang 001; Yong Xu 001; Wangmeng Zuo (CVPR, 2017)

Face liveness detection using color gradient features. - Jixiang Dong; Chunwei Tian; Yong Xu 001 (SPAC, 2017)

A Survey of Dictionary Learning Algorithms for Face Recognition. - Yong Xu 001; Zhengming Li; Jian Yang 003; David Zhang 001 (IEEE Access, 2017)

Protein fold recognition based on sparse representation based classification. - Ke Yan 003; Yong Xu 001; Xiaozhao Fang; Chunhou Zheng 001; Bin Liu 014 (Artif. Intell. Medicine, 2017)

Face recognition using both visible light image and near-infrared image and a deep network. - Kai Guo; Shuai Wu 001; Yong Xu 001 (CAAI Trans. Intell. Technol., 2017)

Background modelling using discriminative motion representation. - Zuofeng Zhong; Yong Xu 001; Zuoyong Li; Yinnan Zhao (IET Comput. Vis., 2017)

A joint-L2, 1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis. - Jin-Xing Liu 001; Dong Wang 019; Ying-Lian Gao; Chun-Hou Zheng 001; Junliang Shang; Feng Liu 013; Yong Xu 001 (Neurocomputing, 2017)

Sample diversity, representation effectiveness and robust dictionary learning for face recognition. - Yong Xu 001; Zhengming Li; Bob Zhang 001; Jian Yang 003; Jane You (Inf. Sci., 2017)

Orthogonal self-guided similarity preserving projection for classification and clustering. - Xiaozhao Fang; Yong Xu 001; Xuelong Li 001; Zhihui Lai 001; Shaohua Teng; Lunke Fei (Neural Networks, 2017)

Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes. - Jian Yang 003; Lei Luo 001; Jianjun Qian; Ying Tai; Fanlong Zhang; Yong Xu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Low rank representation with adaptive distance penalty for semi-supervised subspace classification. - Lunke Fei; Yong Xu 001; Xiaozhao Fang; Jian Yang 003 (Pattern Recognit., 2017)

Nonnegative Discriminant Matrix Factorization. - Yuwu Lu; Zhihui Lai 001; Yong Xu 001; Xuelong Li 001; David Zhang 001; Chun Yuan (IEEE Trans. Circuits Syst. Video Technol., 2017)

Rotational Invariant Dimensionality Reduction Algorithms. - Zhihui Lai 001; Yong Xu 001; Jian Yang 003; Linlin Shen; David Zhang 001 (IEEE Trans. Cybern., 2017)

Correcting Instrumental Variation and Time-Varying Drift Using Parallel and Serial Multitask Learning. - Ke Yan 003; David Zhang 001; Yong Xu 001 (IEEE Trans. Instrum. Meas., 2017)

Discriminative Elastic-Net Regularized Linear Regression. - Zheng Zhang 006; Zhihui Lai 001; Yong Xu 001; Ling Shao 001; Jian Wu; Guo-Sen Xie (IEEE Trans. Image Process., 2017)

An Adaptive Background Modeling Method for Foreground Segmentation. - Zuofeng Zhong; Bob Zhang 001; Guangming Lu 002; Yong Zhao 010; Yong Xu 001 (IEEE Trans. Intell. Transp. Syst., 2017)

A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification. - Zhengming Li; Zhihui Lai 001; Yong Xu 001; Jian Yang 003; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

A New Discriminative Sparse Representation Method for Robust Face Recognition via l2 Regularization. - Yong Xu 001; Zuofeng Zhong; Jian Yang 003; Jane You; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Supervised Group Sparse Representation via Intra-class Low-Rank Constraint. - Peipei Kang; Xiaozhao Fang; Wei Zhang 005; Shaohua Teng; Lunke Fei; Yong Xu 001; Yubao Zheng (CCBR, 2018)

Bidirectional Attentive Fusion With Context Gating for Dense Video Captioning. - Jingwen Wang 003; Wenhao Jiang; Lin Ma 002; Wei Liu 005; Yong Xu 001 (CVPR, 2018)

Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization. - Jie Wen 001; Zheng Zhang 006; Yong Xu 001; Zuofeng Zhong (ECCV Workshops (4), 2018)

Highly-Economized Multi-view Binary Compression for Scalable Image Clustering. - Zheng Zhang 006; Li Liu 004; Jie Qin; Fan Zhu 001; Fumin Shen; Yong Xu 001; Ling Shao 001; Heng Tao Shen (ECCV (12), 2018)

Deep Learning for Image Denoising: A Survey. - Chunwei Tian; Yong Xu 001; Lunke Fei; Ke Yan 003 (ICGEC, 2018)

Multi-level image representation for large-scale image-based instance retrieval. - Qili Deng; Shuai Wu 001; Jie Wen 001; Yong Xu 001 (CAAI Trans. Intell. Technol., 2018)

Enhanced CNN for image denoising. - Chunwei Tian; Yong Xu 001; Junqian Wang; Nan Luo; Haizhang Zou (CoRR, 2018)

Two-phase linear reconstruction measure-based classification for face recognition. - Jianping Gou; Yong Xu 001; David Zhang 001; Qirong Mao; Lan Du 002; Yongzhao Zhan 001 (Inf. Sci., 2018)

Low-rank representation with adaptive graph regularization. - Jie Wen 001; Xiaozhao Fang; Yong Xu 001; Chunwei Tian; Lunke Fei (Neural Networks, 2018)

Inter-class sparsity based discriminative least square regression. - Jie Wen 001; Yong Xu 001; Zuoyong Li; Zhongli Ma; Yuanrong Xu (Neural Networks, 2018)

Adaptive weighted nonnegative low-rank representation. - Jie Wen 001; Bob Zhang 001; Yong Xu 001; Jian Yang 003; Na Han (Pattern Recognit., 2018)

Maximal granularity structure and generalized multi-view discriminant analysis for person re-identification. - Cairong Zhao; Xuekuan Wang; Duoqian Miao 001; Hanli Wang; Wei-Shi Zheng 001; Yong Xu 001; David Zhang 001 (Pattern Recognit., 2018)

Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey. - Jin-Xing Liu 001; Dong Wang 019; Ying-Lian Gao; Chun-Hou Zheng 001; Yong Xu 001; Jiguo Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Robust Discriminant Regression for Feature Extraction. - Zhihui Lai 001; Dongmei Mo; Wai Keung Wong; Yong Xu 001; Duoqian Miao 001; David Zhang 001 (IEEE Trans. Cybern., 2018)

Approximate Low-Rank Projection Learning for Feature Extraction. - Xiaozhao Fang; Na Han; Jigang Wu; Yong Xu 001; Jian Yang 003; Wai Keung Wong; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Regularized Label Relaxation Linear Regression. - Xiaozhao Fang; Yong Xu 001; Xuelong Li 001; Zhihui Lai 001; Wai Keung Wong; Bingwu Fang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Marginal Representation Learning With Graph Structure Self-Adaptation. - Zheng Zhang 006; Ling Shao 001; Yong Xu 001; Li Liu 004; Jian Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Discriminative Block-Diagonal Representation Learning for Image Recognition. - Zheng Zhang 006; Yong Xu 001; Ling Shao 001; Jian Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Discriminative and Robust Competitive Code for Palmprint Recognition. - Yong Xu 001; Lunke Fei; Jie Wen 001; David Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering. - Jie Wen 001; Zheng Zhang 006; Yong Xu 001; Bob Zhang 001; Lunke Fei; Hong Liu 008 (AAAI, 2019)

Deep Residual Equivariant Mapping for Multi-angle Face Recognition. - Wei Liu 005; Lintai Wu; Yong Xu 001; Dan Wang (CCBR, 2019)

Arrhythmogenic Mechanism of the Enhanced Late Sodium Current in Human Ventricular Myocytes - a Simulation Study. - Wei Wang 169; Shanzhuo Zhang; Yong Xu 001; Kuanquan Wang; Henggui Zhang (CinC, 2019)

Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data. - Jin-Xing Liu 001; Chun-Mei Feng 001; Xiang-Zhen Kong; Yong Xu 001 (IEEE Access, 2019)

Automatic Face Recognition Based on Sparse Representation and Extended Transfer Learning. - Zhi Liu 004; Dongmei Jiang; Yujun Li; Yankun Cao; Mingyu Wang 001; Yong Xu 001 (IEEE Access, 2019)

Multi-View Convolutional Neural Networks for Mammographic Image Classification. - Lilei Sun; Junqian Wang; Zhijun Hu; Yong Xu 001; Zhongwei Cui (IEEE Access, 2019)

Protein fold recognition based on multi-view modeling. - Ke Yan 003; Xiaozhao Fang; Yong Xu 001; Bin Liu 014 (Bioinform., 2019)

PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data. - Chun-Mei Feng 001; Yong Xu 001; Mi-Xiao Hou; Ling-Yun Dai; Junliang Shang (BMC Bioinform., 2019)

Enhanced CNN for image denoising. - Chunwei Tian; Yong Xu 001; Lunke Fei; Junqian Wang; Jie Wen 001; Nan Luo (CAAI Trans. Intell. Technol., 2019)

Tongue image segmentation via color decomposition and thresholding. - Zuoyong Li; Zhaochai Yu; Weixia Liu; Yong Xu 001; Daoqiang Zhang; Yong Cheng (Concurr. Comput. Pract. Exp., 2019)

Robust Classification with Sparse Representation Fusion on Diverse Data Subsets. - Chun-Mei Feng 001; Yong Xu 001; Zuoyong Li; Jian Yang 003 (CoRR, 2019)

Coupled-Projection Residual Network for MRI Super-Resolution. - Chun-Mei Feng 001; Kai Wang 036; Shijian Lu; Yong Xu 001; Heng Kong; Ling Shao 001 (CoRR, 2019)

A general moving detection method using dual-target nonparametric background model. - Zuofeng Zhong; Jiajun Wen 001; Bob Zhang 001; Yong Xu 001 (Knowl. Based Syst., 2019)

Precision direction and compact surface type representation for 3D palmprint identification. - Lunke Fei; Bob Zhang 001; Yong Xu 001; Wei Jia 001; Jie Wen 001; Jigang Wu (Pattern Recognit., 2019)

Multi-resolution dictionary learning for face recognition. - Xiaoling Luo 001; Yong Xu 001; Jian Yang 003 (Pattern Recognit., 2019)

Nesting-structured nuclear norm minimization for spatially correlated matrix variate. - Lei Luo 001; Jian Yang 003; Yigong Zhang; Yong Xu 001; Heng Huang (Pattern Recognit., 2019)

Combining dissimilarity measures for image classification. - Chuanyi Liu; Junqian Wang; Shaoming Duan; Yong Xu 001 (Pattern Recognit. Lett., 2019)

Multiple vector representations of images and robust dictionary learning. - Yong Xu 001; Zhengming Li; Chunwei Tian; Jian Yang 003 (Pattern Recognit. Lett., 2019)

Robust Sparse Linear Discriminant Analysis. - Jie Wen 001; Xiaozhao Fang; Jinrong Cui; Lunke Fei; Ke Yan 003; Yan Chen 018; Yong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Learning Discriminant Direction Binary Palmprint Descriptor. - Lunke Fei; Bob Zhang 001; Yong Xu 001; Zhenhua Guo 001; Jie Wen 001; Wei Jia 001 (IEEE Trans. Image Process., 2019)

A Local Mean Representation-based K-Nearest Neighbor Classifier. - Jianping Gou; Wenmo Qiu; Zhang Yi 001; Yong Xu 001; Qirong Mao; Yongzhao Zhan 001 (ACM Trans. Intell. Syst. Technol., 2019)

Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. - Chun-Mei Feng 001; Yong Xu 001; Jin-Xing Liu 001; Ying-Lian Gao; Chun-Hou Zheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Dedge-AGMNet: An Effective Stereo Matching Network Optimized by Depth Edge Auxiliary Task. - Weida Yang; Xindong Ai; Zuliu Yang; Yong Xu 001; Yong Zhao 010 (ECAI, 2020)

CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network. - Jie Wen 001; Zheng Zhang 006; Yong Xu 001; Bob Zhang 001; Lunke Fei; Guo-Sen Xie (IJCAI, 2020)

DIMC-net: Deep Incomplete Multi-view Clustering Network. - Jie Wen 001; Zheng Zhang 006; Zhao Zhang 001; Zhihao Wu 002; Lunke Fei; Yong Xu 001; Bob Zhang 001 (ACM Multimedia, 2020)

Improving Whole-Heart CT Image Segmentation by Attention Mechanism. - Wei Wang 169; Chengqin Ye; Shanzhuo Zhang; Yong Xu 001; Kuanquan Wang (IEEE Access, 2020)

Tongue Image Alignment via Conformal Mapping for Disease Detection. - Jian Wu; Bob Zhang 001; Yong Xu 001; David Zhang 001 (IEEE Access, 2020)

Lightweight image super-resolution with enhanced CNN. - Chunwei Tian; Ruibin Zhuge; Zhihao Wu 002; Yong Xu 001; Wangmeng Zuo; Chen Chen 001; Chia-Wen Lin (Knowl. Based Syst., 2020)

Deep learning on image denoising: An overview. - Chunwei Tian; Lunke Fei; Wenxian Zheng; Yong Xu 001; Wangmeng Zuo; Chia-Wen Lin (Neural Networks, 2020)

Attention-guided CNN for image denoising. - Chunwei Tian; Yong Xu 001; Zuoyong Li; Wangmeng Zuo; Lunke Fei; Hong Liu 008 (Neural Networks, 2020)

Image denoising using deep CNN with batch renormalization. - Chunwei Tian; Yong Xu 001; Wangmeng Zuo (Neural Networks, 2020)

Image decomposition based matrix regression with applications to robust face recognition. - Jianjun Qian; Jian Yang 003; Yong Xu 001; Jin Xie 001; Zhihui Lai 001; Bob Zhang 001 (Pattern Recognit., 2020)

Pixel re-representations for better classification of images. - Junqian Wang; Hanyu Zhang; Peiyi Han; Chuanyi Liu; Yong Xu 001 (Pattern Recognit. Lett., 2020)

Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition. - Lunke Fei; Bob Zhang 001; Yong Xu 001; Di Huang 001; Wei Jia 001; Jie Wen 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Double Relaxed Regression for Image Classification. - Na Han; Jigang Wu; Xiaozhao Fang; Wai Keung Wong; Yong Xu 001; Jian Yang 003; Xuelong Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

DSN: A New Deformable Subnetwork for Object Detection. - Shuai Wu 001; Yong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Incomplete Multiview Spectral Clustering With Adaptive Graph Learning. - Jie Wen 001; Yong Xu 001; Hong Liu 008 (IEEE Trans. Cybern., 2020)

DRPL: Deep Regression Pair Learning for Multi-Focus Image Fusion. - Jinxing Li; Xiaobao Guo; Guangming Lu 002; Bob Zhang 001; Yong Xu 001; Feng Wu 001; David Zhang 001 (IEEE Trans. Image Process., 2020)

Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation. - Hongliang Yan; Zhetao Li; Qilong Wang 001; Peihua Li; Yong Xu 001; Wangmeng Zuo (IEEE Trans. Multim., 2020)

Relaxed Asymmetric Deep Hashing Learning: Point-to-Angle Matching. - Jinxing Li; Bob Zhang 001; Guangming Lu 002; Jane You; Yong Xu 001; Feng Wu 001; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring. - Jie Wen 001; Zheng Zhang 006; Zhao Zhang 001; Lei Zhu 002; Lunke Fei; Bob Zhang 001; Yong Xu 001 (AAAI, 2021)

Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. - Chun-Mei Feng 001; Zhanyuan Yang; Geng Chen 001; Yong Xu 001; Ling Shao 001 (AAAI, 2021)

Structural Deep Incomplete Multi-view Clustering Network. - Jie Wen 001; Zhihao Wu 002; Zheng Zhang 006; Lunke Fei; Bob Zhang 001; Yong Xu 001 (CIKM, 2021)

Multi-contrast MRI Super-Resolution via a Multi-stage Integration Network. - Chun-Mei Feng 001; Huazhu Fu; Shuhao Yuan; Yong Xu 001 (MICCAI (6), 2021)

Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. - Chun-Mei Feng 001; Yunlu Yan; Huazhu Fu; Li Chen 011; Yong Xu 001 (MICCAI (6), 2021)

Targeted Attack and Defense for Deep Hashing. - Xunguang Wang; Zheng Zhang 006; Guangming Lu 002; Yong Xu 001 (SIGIR, 2021)

iPiDi-PUL: identifying Piwi-interacting RNA-disease associations based on positive unlabeled learning. - Hang Wei 005; Yong Xu 001; Bin Liu 014 (Briefings Bioinform., 2021)

iCircDA-LTR: identification of circRNA-disease associations based on Learning to Rank. - Hang Wei 005; Yong Xu 001; Bin Liu 014 (Bioinform., 2021)

Asymmetric CNN for image super-resolution. - Chunwei Tian; Yong Xu 001; Wangmeng Zuo; Chia-Wen Lin; David Zhang 001 (CoRR, 2021)

Dual-Stream Reciprocal Disentanglement Learning for Domain Adaption Person Re-Identification. - Huafeng Li; Kaixiong Xu; Jinxing Li; Guangming Lu 002; Yong Xu 001; Zhengtao Yu 001; David Zhang 001 (CoRR, 2021)

Accelerated Multi-Modal MR Imaging with Transformers. - Chun-Mei Feng 001; Yunlu Yan; Geng Chen 001; Huazhu Fu; Yong Xu 001; Ling Shao 001 (CoRR, 2021)

Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. - Chun-Mei Feng 001; Yunlu Yan; Chengliang Liu 003; Huazhu Fu; Yong Xu 001; Ling Shao 001 (CoRR, 2021)

Multi-modal Aggregation Network for Fast MR Imaging. - Chun-Mei Feng 001; Huazhu Fu; Tianfei Zhou; Yong Xu 001; Ling Shao 001; David Zhang 001 (CoRR, 2021)

Specificity-Preserving Federated Learning for MR Image Reconstruction. - Chun-Mei Feng 001; Yunlu Yan; Huazhu Fu; Yong Xu 001; Ling Shao 001 (CoRR, 2021)

Brain MRI super-resolution using coupled-projection residual network. - Chun-Mei Feng 001; Kai Wang 036; Shijian Lu; Yong Xu 001; Xuelong Li 001 (Neurocomputing, 2021)

MultiFace: A generic training mechanism for boosting face recognition performance. - Jing Xu; Tszhang Guo; Yong Xu 001; Zenglin Xu; Kun Bai (Neurocomputing, 2021)

MLDH-Fold: Protein fold recognition based on multi-view low-rank modeling. - Ke Yan 003; Jie Wen 001; Yong Xu 001; Bin Liu 014 (Neurocomputing, 2021)

Asymmetric Gaussian Process multi-view learning for visual classification. - Jinxing Li; Zhaoqun Li; Guangming Lu 002; Yong Xu 001; Bob Zhang 001; David Zhang 001 (Inf. Fusion, 2021)

Designing and training of a dual CNN for image denoising. - Chunwei Tian; Yong Xu 001; Wangmeng Zuo; Bo Du 001; Chia-Wen Lin; David Zhang 001 (Knowl. Based Syst., 2021)

MVDRNet: Multi-view diabetic retinopathy detection by combining DCNNs and attention mechanisms. - Xiaoling Luo 001; Zuhui Pu; Yong Xu 001; Wai Keung Wong; Jingyong Su; Xiaoyan Dou; Baikang Ye; Jiying Hu; Lisha Mou (Pattern Recognit., 2021)

Triple-Type Feature Extraction for Palmprint Recognition. - Lian Wu; Yong Xu 001; Zhongwei Cui; Yu Zuo; Shuping Zhao; Lunke Fei (Sensors, 2021)

Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores. - Ke Yan 003; Jie Wen 001; Jin-Xing Liu 001; Yong Xu 001; Bin Liu 014 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Protein Fold Recognition Based on Auto-Weighted Multi-View Graph Embedding Learning Model. - Ke Yan 003; Jie Wen 001; Yong Xu 001; Bin Liu 014 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Illuminance Compensation and Texture Enhancement via the Hodge Decomposition. - Jian Wu; Bob Zhang 001; Yong Xu 001; David Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data. - Na Yu; Ming-Juan Wu; Jin-Xing Liu 001; Chun-Hou Zheng 001; Yong Xu 001 (IEEE Trans. Cybern., 2021)

Online Learning-Based Multi-Stage Complexity Control for Live Video Coding. - Chao Huang 008; Zongju Peng; Yong Xu 001; Fen Chen; Qiuping Jiang; Yun Zhang 002; Gangyi Jiang; Yo-Sung Ho (IEEE Trans. Image Process., 2021)

Layer-Output Guided Complementary Attention Learning for Image Defocus Blur Detection. - Jinxing Li; Dandan Fan; Lingxiao Yang; Shuhang Gu; Guangming Lu 002; Yong Xu 001; David Zhang 001 (IEEE Trans. Image Process., 2021)

Fast and Robust Dictionary-based Classification for Image Data. - Shaoning Zeng; Bob Zhang 001; Jianping Gou; Yong Xu 001; Wei Huang (ACM Trans. Knowl. Discov. Data, 2021)

Coarse-to-Fine CNN for Image Super-Resolution. - Chunwei Tian; Yong Xu 001; Wangmeng Zuo; Bob Zhang 001; Lunke Fei; Chia-Wen Lin (IEEE Trans. Multim., 2021)

Adaptive Graph Completion Based Incomplete Multi-View Clustering. - Jie Wen 001; Ke Yan 003; Zheng Zhang 006; Yong Xu 001; Junqian Wang; Lunke Fei; Bob Zhang 001 (IEEE Trans. Multim., 2021)

Harmonization Shared Autoencoder Gaussian Process Latent Variable Model With Relaxed Hamming Distance. - Jinxing Li; Bob Zhang 001; Guangming Lu 002; Yong Xu 001; Feng Wu 001; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Deep Object Detection with Example Attribute Based Prediction Modulation. - Zhihao Wu 002; Chengliang Liu 003; Chao Huang 008; Jie Wen 001; Yong Xu 001 (ICASSP, 2022)

Hierarchical Graph Embedded Pose Regularity Learning via Spatio-Temporal Transformer for Abnormal Behavior Detection. - Chao Huang 008; Yabo Liu; Zheng Zhang 006; Chengliang Liu 003; Jie Wen 001; Yong Xu 001; Yaowei Wang 001 (ACM Multimedia, 2022)

Pixel-Level Anomaly Detection via Uncertainty-aware Prototypical Transformer. - Chao Huang 008; Chengliang Liu 003; Zheng Zhang 006; Zhihao Wu 002; Jie Wen 001; Qiuping Jiang; Yong Xu 001 (ACM Multimedia, 2022)

Global-Supervised Contrastive Loss and View-Aware-Based Post-Processing for Vehicle Re-Identification. - Zhijun Hu; Yong Xu 001; Jie Wen 001; Xian Jing Cheng; Zaijun Zhang; Lilei Sun; Yaowei Wang 001 (CoRR, 2022)

A Survey on Incomplete Multi-view Clustering. - Jie Wen 001; Zheng Zhang 006; Lunke Fei; Bob Zhang 001; Yong Xu 001; Zhao Zhang 001; Jinxing Li (CoRR, 2022)

Prompt-driven efficient Open-set Semi-supervised Learning. - Haoran Li; Chun-Mei Feng 001; Tao Zhou 002; Yong Xu 001; Xiaojun Chang (CoRR, 2022)

Local expansion moves for stereo matching based on random sample consensus confidence. - Haiwei Sang; Zuliu Yang; Yong Xu 001; Xianjing Cheng; Weicheng Xiong; Yong Zhao 010 (J. Electronic Imaging, 2022)

Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction. - Xiaohuan Lu; Jiang Long; Jie Wen 001; Lunke Fei; Bob Zhang 001; Yong Xu 001 (Pattern Recognit., 2022)

Weakly Supervised Video Anomaly Detection via Transformer-Enabled Temporal Relation Learning. - Dasheng Zhang; Chao Huang 008; Chengliang Liu 003; Yong Xu 001 (IEEE Signal Process. Lett., 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 001; Raja Soosaimarian Peter Raj; Guanghai Liu 001; Jie Wen 001; Lilei Sun; Lian Wu; Xian Jing Cheng (IEEE Trans. Comput. Soc. Syst., 2022)

Dynamic Double Classifiers Approximation for Cross-Domain Recognition. - Xiaozhao Fang; Na Han; Guoxu Zhou; Shaohua Teng; Yong Xu 001; Shengli Xie (IEEE Trans. Cybern., 2022)

Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual Anomaly Detection. - Chao Huang 008; Zehua Yang; Jie Wen 001; Yong Xu 001; Qiuping Jiang; Jian Yang 003; Yaowei Wang 001 (IEEE Trans. Cybern., 2022)

Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification. - Shaoning Zeng; Bob Zhang 001; Jianping Gou; Yong Xu 001 (IEEE Trans. Cybern., 2022)

Abnormal Event Detection Using Deep Contrastive Learning for Intelligent Video Surveillance System. - Chao Huang 008; Zhihao Wu 002; Jie Wen 001; Yong Xu 001; Qiuping Jiang; Yaowei Wang 001 (IEEE Trans. Ind. Informatics, 2022)

Joint Specifics and Consistency Hash Learning for Large-Scale Cross-Modal Retrieval. - Jianyang Qin; Lunke Fei; Zheng Zhang 006; Jie Wen 001; Yong Xu 001; David Zhang 001 (IEEE Trans. Image Process., 2022)

Deformable Template Network (DTN) for Object Detection. - Shuai Wu 001; Yong Xu 001; Bob Zhang 001; Jian Yang 003; David Zhang 001 (IEEE Trans. Multim., 2022)

Jointly Heterogeneous Palmprint Discriminant Feature Learning. - Lunke Fei; Bob Zhang 001; Yong Xu 001; Chunwei Tian; Imad Rida; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Cross-Domain Recognition via Projective Cross-Reconstruction. - Xiaozhao Fang; Lin Jiang; Na Han; Weijun Sun; Yong Xu 001; Shengli Xie (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Asymmetric CNN for Image Superresolution. - Chunwei Tian; Yong Xu 001; Wangmeng Zuo; Chia-Wen Lin; David Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Breast mass classification based on supervised contrastive learning and multi-view consistency penalty on mammography. - Lilei Sun; Jie Wen 001; Junqian Wang; Zheng Zhang 006; Yong Zhao 010; Guiying Zhang; Yong Xu 001 (IET Biom., 2022)

DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. - Chengliang Liu 003; Jie Wen 001; Xiaoling Luo 001; Chao Huang 008; Zhihao Wu 002; Yong Xu 001 (AAAI, 2023)

Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. - Chengliang Liu 003; Jie Wen 001; Xiaoling Luo 001; Yong Xu 001 (AAAI, 2023)

MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network. - Xiaoling Luo 001; Chengliang Liu 003; Waikeung Wong; Jie Wen 001; Xiaopeng Jin; Yong Xu 001 (AAAI, 2023)

CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection. - Yabo Liu; Jinghua Wang; Chao Huang 008; Yaowei Wang 001; Yong Xu 001 (CVPR, 2023)

Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering. - Jie Wen 001; Chengliang Liu 003; Gehui Xu; Zhihao Wu 002; Chao Huang 008; Lunke Fei; Yong Xu 001 (CVPR, 2023)

Localized and Balanced Efficient Incomplete Multi-view Clustering. - Jie Wen 001; Gehui Xu; Chengliang Liu 003; Lunke Fei; Chao Huang 008; Wei Wang 169; Yong Xu 001 (ACM Multimedia, 2023)

Video-based Visible-Infrared Person Re-Identification via Style Disturbance Defense and Dual Interaction. - Chuhao Zhou; Jinxing Li; Huafeng Li; Guangming Lu 002; Yong Xu 001; Min Zhang 005 (ACM Multimedia, 2023)

Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. - Chengliang Liu 003; Jie Wen 001; Yabo Liu; Chao Huang 008; Zhihao Wu 002; Xiaoling Luo 001; Yong Xu 001 (NeurIPS, 2023)

Vehicle re-identification based on keypoint segmentation of original image. - Zhijun Hu; Yong Xu 001; Raja Soosaimarian Peter Raj; Xian Jing Cheng; Lilei Sun; Lian Wu (Appl. Intell., 2023)

Salient and consensus representation learning based incomplete multiview clustering. - Shuping Zhao; Zhongwei Cui; Lian Wu; Yong Xu 001; Yu Zuo; Lunke Fei (Appl. Intell., 2023)

RV-ESA: A novel computer-aided elastic shape analysis system for retinal vessels in diabetic retinopathy. - Xiaoling Luo 001; Honggang Zhang; Jingyong Su; Wai Keung Wong; Jinkai Li; Yong Xu 001 (Comput. Biol. Medicine, 2023)

Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification. - Chengliang Liu 003; Jie Wen 001; Yong Xu 001; Liqiang Nie; Min Zhang 005 (CoRR, 2023)

Information Recovery-Driven Deep Incomplete Multi-view Clustering Network. - Chengliang Liu 003; Jie Wen 001; Zhihao Wu 002; Xiaoling Luo 001; Chao Huang 008; Yong Xu 001 (CoRR, 2023)

Cross-Modal Vertical Federated Learning for MRI Reconstruction. - Yunlu Yan; Hong Wang 021; Yawen Huang; Nanjun He; Lei Zhu 002; Yuexiang Li; Yong Xu 001; Yefeng Zheng 001 (CoRR, 2023)

Robust fall detection in video surveillance based on weakly supervised learning. - Lian Wu; Chao Huang 008; Shuping Zhao; Jinkai Li; Jianchuan Zhao; Zhongwei Cui; Zhen Yu; Yong Xu 001; Min Zhang 005 (Neural Networks, 2023)

A Cognitive-Driven Ordinal Preservation for Multimodal Imbalanced Brain Disease Diagnosis. - Qi Zhu 001; Ting Zhu; Rui Zhang; Haizhou Ye; Kai Sun; Yong Xu 001; Daoqiang Zhang (IEEE Trans. Cogn. Dev. Syst., 2023)

PreTP-Stack: Prediction of Therapeutic Peptides Based on the Stacked Ensemble Learing. - Ke Yan 003; Hongwu Lv; Jie Wen 001; Yichen Guo; Yong Xu 001; Bin Liu 014 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

TRCDNet: A Transformer Network for Video Cloud Detection. - Chen Luo; Shanshan Feng 001; Yingling Quan; Yunming Ye; Xutao Li; Yong Xu 001; Baoquan Zhang; Zhihao Chen (IEEE Trans. Geosci. Remote. Sens., 2023)

Zero-Shot Camouflaged Object Detection. - Haoran Li; Chun-Mei Feng 001; Yong Xu 001; Tao Zhou 002; Lina Yao 001; Xiaojun Chang (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 005; Guangming Lu 002; Yong Xu 001 (IEEE Trans. Image Process., 2023)

Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss. - Zhihao Wu 002; Chengliang Liu 003; Jie Wen 001; Yong Xu 001; Jian Yang 003; Xuelong Li 001 (IEEE Trans. Image Process., 2023)

Specificity-Preserving Federated Learning for MR Image Reconstruction. - Chun-Mei Feng 001; Yunlu Yan; Shanshan Wang 002; Yong Xu 001; Ling Shao 001; Huazhu Fu (IEEE Trans. Medical Imaging, 2023)

Localized Sparse Incomplete Multi-View Clustering. - Chengliang Liu 003; Zhihao Wu 002; Jie Wen 001; Yong Xu 001; Chao Huang 008 (IEEE Trans. Multim., 2023)

A Two-Level Rectification Attention Network for Scene Text Recognition. - Lintai Wu; Yong Xu 001; Junhui Hou; C. L. Philip Chen; Cheng-Lin Liu 001 (IEEE Trans. Multim., 2023)

Multiple Instance Detection Networks With Adaptive Instance Refinement. - Zhihao Wu 002; Jie Wen 001; Yong Xu 001; Jian Yang 003; David Zhang 001 (IEEE Trans. Multim., 2023)

Joint Augmented and Compressed Dictionaries for Robust Image Classification. - Shaoning Zeng; Yunbo Rao; Bob Zhang 001; Yong Xu 001 (ACM Trans. Multim. Comput. Commun. Appl., 2023)

A Survey on Incomplete Multiview Clustering. - Jie Wen 001; Zheng Zhang 006; Lunke Fei; Bob Zhang 001; Yong Xu 001; Zhao Zhang 001; Jinxing Li (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Class-guided human motion prediction via multi-spatial-temporal supervision. - Jinkai Li; Honghu Pan; Lian Wu; Chao Huang 008; Xiaoling Luo 001; Yong Xu 001 (Neural Comput. Appl., 2023)

Two-view attention-guided convolutional neural network for mammographic image classification. - Lilei Sun; Jie Wen 001; Junqian Wang; Yong Zhao 010; Bob Zhang 001; Jian Wu; Yong Xu 001 (CAAI Trans. Intell. Technol., 2023)

Learning efficient facial landmark model for human attractiveness analysis. - Tianhao Peng 003; Mu Li 005; Fangmei Chen; Yong Xu 001; David Zhang 001 (Pattern Recognit., 2023)

Learning Spectrum-Invariance Representation for Cross-Spectral Palmprint Recognition. - Lunke Fei; Wai Keung Wong; Shuping Zhao; Jie Wen 001; Jian Zhu 001; Yong Xu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Collaborative representation induced broad learning model for classification. - Qi Zhang 059; Jianhang Zhou; Yong Xu 001; Bob Zhang 001 (Appl. Intell., 2023)

Multimodal Transformer for Accelerated MR Imaging. - Chun-Mei Feng 001; Yunlu Yan; Geng Chen 001; Yong Xu 001; Ying Hu; Ling Shao 001; Huazhu Fu (IEEE Trans. Medical Imaging, 2023)

A human-like action learning process: Progressive pose generation for motion prediction. - Jinkai Li; Jinghua Wang; Ciwei Kuang; Lian Wu; Xin Wang 160; Yong Xu 001 (Knowl. Based Syst., 2023)

Single image denoising with a feature-enhanced network. - Ruibin Zhuge; Jinghua Wang; Zenglin Xu; Yong Xu 001 (Neural Networks, 2023)

Self-Supervised Attentive Generative Adversarial Networks for Video Anomaly Detection. - Chao Huang 008; Jie Wen 001; Yong Xu 001; Qiuping Jiang; Jian Yang 003; Yaowei Wang 001; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Toward Efficient Palmprint Feature Extraction by Learning a Single-Layer Convolution Network. - Lunke Fei; Shuping Zhao; Wei Jia 001; Bob Zhang 001; Jie Wen 001; Yong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification. - Chengliang Liu 003; Jinlong Jia; Jie Wen 001; Yabo Liu; Xiaoling Luo 001; Chao Huang 008; Yong Xu 001 (AAAI, 2024)

HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation. - Qihao Xu; Xiaoling Luo 001; Chao Huang 008; Chengliang Liu 003; Jie Wen 001; Jialei Wang; Yong Xu 001 (AAAI, 2024)

Unsupervised Sign Language Translation and Generation. - Zhengsheng Guo; Zhiwei He 002; Wenxiang Jiao; Xing Wang 007; Rui Wang 015; Kehai Chen; Zhaopeng Tu; Yong Xu 001; Min Zhang 005 (ACL (Findings), 2024)

Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering. - Jie Wen 001; Shijie Deng; Waikeung Wong; Guoqing Chao; Chao Huang 008; Lunke Fei; Yong Xu 001 (ICML, 2024)

Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling. - Chengliang Liu 003; Gehui Xu; Jie Wen 001; Yabo Liu; Chao Huang 008; Yong Xu 001 (ICML, 2024)

Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition. - Yicheng Liu; Jie Wen 001; Chengliang Liu 003; Xiaozhao Fang; Zuoyong Li; Yong Xu 001; Zheng Zhang 006 (ICML, 2024)

MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging. - Zhenghao Pan; Haijin Zeng; Jiezhang Cao; Yongyong Chen; Kai Zhang 008; Yong Xu 001 (NeurIPS, 2024)

A Faster Fire Detection Network with Global Information Awareness. - Jinrong Cui; Haosen Sun; Min Zhao; Ciwei Kuang; Yong Xu 001 (PRCV (12), 2024)

Geometric prior guided hybrid deep neural network for facial beauty analysis. - Tianhao Peng 003; Mu Li 005; Fangmei Chen; Yong Xu 001; David Zhang 001 (CAAI Trans. Intell. Technol., 2024)

Self-supervised 3D Point Cloud Completion via Multi-view Adversarial Learning. - Lintai Wu; Xianjing Cheng; Junhui Hou; Yong Xu 001; Huanqiang Zeng (CoRR, 2024)

Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence. - Yuncheng Jiang; Chun-Mei Feng 001; Jinke Ren; Jun Wei 006; Zixun Zhang; Yiwen Hu 001; Yunbi Liu; Rui Sun; Xuemei Tang; Juan Du; Xiang Wan; Yong Xu 001; et al. (CoRR, 2024)

AMHGCN: Adaptive multi-level hypergraph convolution network for human motion prediction. - Jinkai Li; Jinghua Wang; Lian Wu; Xin Wang 160; Xiaoling Luo 001; Yong Xu 001 (Neural Networks, 2024)

Omnidirectional image super-resolution via position attention network. - Xin Wang 160; Shiqi Wang 001; Jinxing Li; Mu Li 005; Jinkai Li; Yong Xu 001 (Neural Networks, 2024)

AMANet: An Adaptive Memory Attention Network for video cloud detection. - Chen Luo; Shanshan Feng 001; Yingling Quan; Yunming Ye; Yong Xu 001; Xutao Li; Baoquan Zhang (Pattern Recognit., 2024)

MixingMask: A contour-aware approach for joint object detection and instance segmentation. - Wenzhe Ouyang; Zenglin Xu; Jing Xu; Qifan Wang 001; Yong Xu 001 (Pattern Recognit., 2024)

CKDH: CLIP-Based Knowledge Distillation Hashing for Cross-Modal Retrieval. - Jiaxing Li; Wai Keung Wong; Lin Jiang; Xiaozhao Fang; Shengli Xie; Yong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

LGCNet: A Cloud Detection Method in Remote Sensing Images Using Local and Global Semantics. - Chen Luo; Shanshan Feng 001; Huaibin Wang; Baoquan Zhang; Pengjuan Yao; Chuyao Luo; Yunming Ye; Yong Xu 001; Xutao Li; Hao Fang (IEEE Trans. Geosci. Remote. Sens., 2024)

Learning Content-Weighted Pseudocylindrical Representation for 360° Image Compression. - Mu Li 005; Youneng Bao; Xiaohang Sui; Jinxing Li; Guangming Lu 002; Yong Xu 001 (IEEE Trans. Image Process., 2024)

MLFA: Toward Realistic Test Time Adaptive Object Detection by Multi-Level Feature Alignment. - Yabo Liu; Jinghua Wang; Chao Huang 008; Yiling Wu; Yong Xu 001; Xiaochun Cao (IEEE Trans. Image Process., 2024)

Complete Region of Interest for Unconstrained Palmprint Recognition. - Le Su; Lunke Fei; Bob Zhang 001; Shuping Zhao; Jie Wen 001; Yong Xu 001 (IEEE Trans. Image Process., 2024)

Misclassification in Weakly Supervised Object Detection. - Zhihao Wu 002; Yong Xu 001; Jian Yang 003; Xuelong Li 001 (IEEE Trans. Image Process., 2024)

LMEye: An Interactive Perception Network for Large Language Models. - Yunxin Li; Baotian Hu; Xinyu Chen 003; Lin Ma 002; Yong Xu 001; Min Zhang 005 (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 001; Yong Xu 001 (IEEE Trans. Multim., 2024)

Fine-Grained Representation Alignment for Zero-Shot Domain Adaptation. - Yabo Liu; Jinghua Wang; Sheng-hua Zhong; Lianyang Ma; Yong Xu 001 (IEEE Trans. Multim., 2024)

Multi-view Instance Attention Fusion Network for classification. - Jinxing Li; Chuhao Zhou; Xiaoqiang Ji; Mu Li 005; Guangming Lu 002; Yong Xu 001; David Zhang 001 (Inf. Fusion, 2024)

Mask-guided multiscale feature aggregation network for hand gesture recognition. - Hao Liang; Lunke Fei; Shuping Zhao; Jie Wen 001; Shaohua Teng; Yong Xu 001 (Pattern Recognit., 2024)

Enhanced Spatial Feature Learning for Weakly Supervised Object Detection. - Zhihao Wu 002; Jie Wen 001; Yong Xu 001; Jian Yang 003; Xuelong Li 001; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A deep convolutional neural network for diabetic retinopathy detection via mining local and long-range dependence. - Xiaoling Luo 001; Wei Wang 169; Yong Xu 001; Zhihui Lai 001; Xiaopeng Jin; Bob Zhang 001; David Zhang 001 (CAAI Trans. Intell. Technol., 2024)

ISFB-GAN: Interpretable semantic face beautification with generative adversarial network. - Tianhao Peng 003; Mu Li 005; Fangmei Chen; Yong Xu 001; Yuan Xie; Yahan Sun; David Zhang 001 (Expert Syst. Appl., 2024)

Discriminative Regression With Adaptive Graph Diffusion. - Jie Wen 001; Shijie Deng; Lunke Fei; Zheng Zhang 006; Bob Zhang 001; Zhao Zhang 001; Yong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-Contrast Complementary Learning for Accelerated MR Imaging. - Bangjun Li; Weifeng Hu; Chun-Mei Feng 001; Yujun Li; Zhi Liu 004; Yong Xu 001 (IEEE J. Biomed. Health Informatics, 2024)

Video-Based Fall Detection Using Human Pose and Constrained Generative Adversarial Network. - Lian Wu; Chao Huang 008; Lunke Fei; Shuping Zhao; Jianchuan Zhao; Zhongwei Cui; Yong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Graph Regularized and Feature Aware Matrix Factorization for Robust Incomplete Multi-View Clustering. - Jie Wen 001; Gehui Xu; Zhanyan Tang; Wei Wang 169; Lunke Fei; Yong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer. - Chao Huang 008; Chengliang Liu 003; Jie Wen 001; Lian Wu; Yong Xu 001; Qiuping Jiang; Yaowei Wang 001 (IEEE Trans. Cybern., 2024)

Learning With Noisy Labels by Semantic and Feature Space Collaboration. - Han Lin; Yingjian Li; Zheng Zhang 006; Lei Zhu 002; Yong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Projective Incomplete Multi-View Clustering. - Shijie Deng; Jie Wen 001; Chengliang Liu 003; Ke Yan 003; Gehui Xu; Yong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views. - Jie Wen 001; Chengliang Liu 003; Shijie Deng; Yicheng Liu; Lunke Fei; Ke Yan 003; Yong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. - Chun-Mei Feng 001; Yunlu Yan; Kai Yu 009; Yong Xu 001; Huazhu Fu; Jian Yang 003; Ling Shao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Cross-Modal Vertical Federated Learning for MRI Reconstruction. - Yunlu Yan; Hong Wang 021; Yawen Huang; Nanjun He; Lei Zhu 003; Yong Xu 001; Yuexiang Li; Yefeng Zheng 001 (IEEE J. Biomed. Health Informatics, 2024)

Information Recovery-Driven Deep Incomplete Multiview Clustering Network. - Chengliang Liu 003; Jie Wen 001; Zhihao Wu 002; Xiaoling Luo 001; Chao Huang 008; Yong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases. - Yuxin Lin; Wei Wang 169; Xiaoling Luo 001; Zhihao Wu 002; Chengliang Liu 003; Jie Wen 001; Yong Xu 001 (AAAI, 2025)

Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt. - Benfeng Wang; Chao Huang 008; Jie Wen 001; Wei Wang 169; Yabo Liu; Yong Xu 001 (AAAI, 2025)

Component-wise Self-Correction Network for Human Motion Prediction. - Jinkai Li; Jinghua Wang; Xin Wang 160; Liang Yan; Yong Xu 001 (ICASSP, 2025)

Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement. - Haijin Zeng; Benteng Sun; Yongyong Chen; Jingyong Su; Yong Xu 001 (ICLR, 2025)

Adaptive self-correction network for human motion prediction. - Jinkai Li; Jinghua Wang; Xin Wang 160; Liang Yan; Xiaoling Luo 001; Yong Xu 001 (Appl. Soft Comput., 2025)

Latitude-oriented hierarchical enhancement network for omnidirectional image super-resolution. - Xin Wang 160; Jinkai Li; Jinxing Li; Shiqi Wang 001; Yong Xu 001 (Inf. Process. Manag., 2025)

Multi-view diabetic retinopathy grading via cross-view spatial alignment and adaptive vessel reinforcing. - Yuxin Lin; Xiaoyan Dou; Xiaoling Luo 001; Zhihao Wu 002; Chengliang Liu 003; Tianyi Luo; Jie Wen 001; Bingo Wing-Kuen Ling; Yong Xu 001; Wei Wang 169 (Pattern Recognit., 2025)

PlanePDM: Boundary-aware 3D planar recovery by using parallel dilated mask head. - Wenzhe Ouyang; Zenglin Xu; Qianying Zhu; Bin Shen 002; Yong Xu 001 (Pattern Recognit., 2025)

SPS-SQL: Enhancing Text-to-SQL generation on small-scale LLMs with pre-synthesized queries. - Liang Yan; Qichen Wan; Chuanyi Liu; Shaoming Duan; Peiyi Han; Yong Xu 001 (Pattern Recognit. Lett., 2025)

MGRD: Multigranularity Reconstruction Deviation Modeling for Time Series Anomaly Detection. - Furong Peng; Rongxin Ma; Xuan Lu 001; Yuhua Qian; Yong Xu 001; Zhiguo Hu; Hongtao Wu (IEEE Trans. Instrum. Meas., 2025)

Deep Multi-View Contrastive Clustering via Graph Structure Awareness. - Lunke Fei; Junlin He; Qi Zhu 001; Shuping Zhao; Jie Wen 001; Yong Xu 001 (IEEE Trans. Image Process., 2025)

Asymmetric and Discrete Self-Representation Enhancement Hashing for Cross-Domain Retrieval. - Jiaxing Li; Lin Jiang; Xiaozhao Fang; Shengli Xie; Yong Xu 001 (IEEE Trans. Image Process., 2025)

Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion. - Lintai Wu; Qijian Zhang; Junhui Hou; Yong Xu 001 (IEEE Trans. Multim., 2025)

Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection. - Yabo Liu; Jinghua Wang; Linhui Xiao; Chengliang Liu 003; Zhihao Wu 002; Yong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

LinkOcc: 3D Semantic Occupancy Prediction With Temporal Association. - Wenzhe Ouyang; Zenglin Xu; Bin Shen 002; Jinghua Wang; Yong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent. - Xingzuo Li; Kehai Chen; Yunfei Long; Xuefeng Bai 001; Yong Xu 001; Min Zhang 005 (CoRR, 2025)

Wavelet-based Global-Local Interaction Network with Cross-Attention for Multi-View Diabetic Retinopathy Detection. - Yongting Hu; Yuxin Lin; Chengliang Liu 003; Xiaoling Luo 001; Xiaoyan Dou; Qihao Xu; Yong Xu 001 (CoRR, 2025)

DONet: Dual-Octave Network for Fast MR Image Reconstruction. - Chun-Mei Feng 001; Zhanyuan Yang; Huazhu Fu; Yong Xu 001; Jian Yang 003; Ling Shao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Focus Affinity Perception and Super-Resolution Embedding for Multifocus Image Fusion. - Huafeng Li; Ming Yuan; Jinxing Li; Yu Liu 023; Guangming Lu 002; Yong Xu 001; Zhengtao Yu 001; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Collaborative Network of Mamba and CNN for Lightweight Image Super-Resolution. - Xin Wang 160; Jinxing Li; Jinkai Li; Shiqi Wang 001; Liang Yan; Yong Xu 001 (IEEE Trans. Consumer Electron., 2025)

Spatial Continuity and Nonequal Importance in Salient Object Detection With Image-Category Supervision. - Zhihao Wu 002; Chengliang Liu 003; Jie Wen 001; Yong Xu 001; Jian Yang 003; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Reliable Representation Learning for Incomplete Multi-View Missing Multi-Label Classification. - Chengliang Liu 003; Jie Wen 001; Yong Xu 001; Bob Zhang 001; Liqiang Nie; Min Zhang 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

3D Shape Completion on Unseen Categories: A Weakly-Supervised Approach. - Lintai Wu; Junhui Hou; Linqi Song; Yong Xu 001 (IEEE Trans. Vis. Comput. Graph., 2025)