Xiaozhao Fang

发表

Wei Zhang, Zhihao Peng, Xiaozhao Fang, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Rate of Convergence of the FOCUSS Algorithm

Zhaoshui He, Andrzej Cichocki, Xiaozhao Fang, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Orthogonal self-guided similarity preserving projections

LinLin Shen, Zheng Zhang, Zhihui Lai, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

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

Xuelong Li, Xiaozhao Fang, Yong Xu, 2016, IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.

A novel consensus learning approach to incomplete multi-view clustering

Naiqi Wu, Lunke Fei, Xiaozhao Fang, 2021, Pattern Recognit..

Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval

A. Bronstein, Xiaozhao Fang, Peipei Kang, 2021, Applied Intelligence.

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

Jian Yang, Lunke Fei, Xiaozhao Fang, 2017, Pattern Recognit..

Learning a Nonnegative Sparse Graph for Linear Regression

Xuelong Li, Wai Keung Wong, Zhihui Lai, 2015, IEEE Transactions on Image Processing.

Protein fold recognition based on sparse representation based classification

Bin Liu, Ke Yan, Xiaozhao Fang, 2017, Artif. Intell. Medicine.

Incomplete Multi-View Subspace Clustering with Low-Rank Tensor

Lunke Fei, Xiaozhao Fang, Shaohua Teng, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Group Low-Rank Representation-Based Discriminant Linear Regression

Jigang Wu, Xiaozhao Fang, Jie Wen, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Low-Rank Preserving Projection Via Graph Regularized Reconstruction

Lunke Fei, Xiaozhao Fang, Jie Wen, 2019, IEEE Transactions on Cybernetics.

Unsupervised feature extraction by low-rank and sparsity preserving embedding

Wu Jigang, Xiaozhao Fang, Na Han, 2019, Neural Networks.

Low-rank representation with adaptive graph regularization

Chunwei Tian, Lunke Fei, Xiaozhao Fang, 2018, Neural Networks.

Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation

Xuelong Li, David Zhang, Jian Wu, 2016, IEEE Transactions on Image Processing.

Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification

Xuelong Li, Wai Keung Wong, Shengli Xie, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Semi-supervised Sparse Subspace Clustering on Symmetric Positive Definite Manifolds

Shengli Xie, Ming Yin, Xiaozhao Fang, 2016, CCPR.

Unsupervised feature selection with adaptive residual preserving

Yanchun Zhang, Hua Wang, Xiaozhao Fang, 2019, Neurocomputing.

Approximate Low-Rank Projection Learning for Feature Extraction

Wai Keung Wong, Jigang Wu, Xuelong Li, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Data Uncertainty in Face Recognition

Xuelong Li, Hong Liu, Jane You, 2014, IEEE Transactions on Cybernetics.

Regularized Label Relaxation Linear Regression

Xuelong Li, Wai Keung Wong, Zhihui Lai, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Clustering Structure-Induced Robust Multi-View Graph Recovery

Jie Wen, Wing-Keung Wong, Na Han, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Transferable Linear Discriminant Analysis

Shengli Xie, Xuelong Li, Jie Wen, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Pedestrian Behavior Prediction Method for Intelligent Vehicles Based on Convolutional Neural Network

Xiaozhao Fang, Kaiquan Cai, Liuchang Wang, 2022, 2022 IEEE International Conference on Unmanned Systems (ICUS).

Robust Sparse Linear Discriminant Analysis

Lunke Fei, Xiaozhao Fang, Yan Chen, 2019, IEEE Transactions on Circuits and Systems for Video Technology.

Research on Location Selection for Urban Networks of Less-than-Truckload Express Enterprises Based on Improved Immune Optimization Algorithm

Xiaozhao Fang, Kang Tan, Chunsheng Li, 2023, Mathematics.

Local minimum squared error for face and handwritten character recognition

Qi Zhu, Xiaozhao Fang, Jinrong Cui, 2013, J. Electronic Imaging.

Protein fold recognition based on multi-view modeling

Xiaozhao Fang, Bin Liu, Yong Xu, 2019, Bioinform..

Low-Rank Embedding for Robust Image Feature Extraction

Wai Keung Wong, Zhihui Lai, Yuwu Lu, 2017, IEEE Transactions on Image Processing.

Projective Double Reconstructions Based Dictionary Learning Algorithm for Cross-Domain Recognition

Shengli Xie, Xuelong Li, Xiaozhao Fang, 2020, IEEE Transactions on Image Processing.

Kernel linear regression for face recognition

Xiaozhao Fang, Yuwu Lu, Binglei Xie, 2014, Neural Computing and Applications.

Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval

Alexander M. Bronstein, Xiaozhao Fang, Zhenguo Yang, 2021, Appl. Intell..

Joint sparse representation and locality preserving projection for feature extraction

Wei Zhang, Xiaozhao Fang, Peipei Kang, 2018, Int. J. Mach. Learn. Cybern..

Latent Elastic-Net Transfer Learning

Shengli Xie, Xuelong Li, Xiaozhao Fang, 2019, IEEE Transactions on Image Processing.

Discrete matrix factorization hashing for cross-modal retrieval

Shaohua Teng, Lin Jiang, Xiaozhao Fang, 2021, International Journal of Machine Learning and Cybernetics.

A cooperative Network Intrusion Detection based on SVMs

Wei Zhang, Xiufen Fu, Xiaozhao Fang, 2011, 2011 6th International Conference on Pervasive Computing and Applications.

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

Hong Liu, Jane You, Qi Zhu, 2014, Neurocomputing.

A Collaboration Multi-Domain Sentiment Classification on Specific Domain and Global Features

Lunke Fei, Xiaozhao Fang, Shaohua Teng, 2021, 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD).

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

Lunke Fei, Bob Zhang, Xiaozhao Fang, 2016, Neurocomputing.

Robust Latent Subspace Learning for Image Classification

Wai Keung Wong, Zhaoshui He, Shengli Xie, 2018, IEEE Transactions on Neural Networks and Learning Systems.

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

Xuelong Li, Wai Keung Wong, Zhihui Lai, 2016, IEEE Transactions on Cybernetics.

Error-correcting Ability based Collaborative Multi-Layer Selective Classifier Ensemble Model for Intrusion Detection

Xiaozhao Fang, Shaohua Teng, Zhenhua Zhang, 2019, 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD).

Graph Transformer Collaborative Filtering Method for Multi-Behavior Recommendations

Xiaozhao Fang, Weijun Sun, Wenhao Zhu, 2022, Mathematics.

Two-Layer Intrusion Detection Model Based on Ensemble Classifier

Wei Zhang, Zhenhua Zhang, Lunke Fei, 2019, ChineseCSCW.

A Collaborative Intrusion Detection Model using a novel optimal weight strategy based on Genetic Algorithm for Ensemble Classifier

Wei Zhang, Haibin Zhu, Zhenhua Zhang, 2018, 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD)).

Noise-free representation based classification and face recognition experiments

Hong Liu, Jane You, Xiaozhao Fang, 2015, Neurocomputing.

Cross-Domain Recognition via Projective Cross-Reconstruction

Na Han, Xiaozhao Fang, Shengli Xie, 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Dynamic Double Classifiers Approximation for Cross-Domain Recognition

Yong Xu, Guoxu Zhou, Na Han, 2020, IEEE Transactions on Cybernetics.

Double Relaxed Regression for Image Classification

Jian Yang, Xuelong Li, Wing-Keung Wong, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Low-rank constraint-based multiple projections learning for cross-domain classification

Na Han, Xiaozhao Fang, Shaohua Teng, 2023, Knowl. Based Syst..

Yong Xu, Hong Liu, Xuelong Li, 2014, Neurocomputing.

Orthogonal self-guided similarity preserving projection for classification and clustering

Xuelong Li, Zhihui Lai, Lunke Fei, 2017, Neural Networks.