Xiaozhao Fang

According to our database, Xiaozhao Fang authored at least 81 papers between 2012 and 2024.

Collaborative distances:

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

2024

Anchor-based Domain Adaptive Hashing for unsupervised image retrieval.

Yonghao Chen, Xiaozhao Fang, Yuanyuan Liu, Xi Hu, Na Han, Peipei Kang

Int. J. Mach. Learn. Cybern., December, 2024

Efficient Discriminative Hashing for Cross-Modal Retrieval.

Junfan Huang, Peipei Kang, Xiaozhao Fang, Na Han, Shengli Xie, Hongbo Gao

IEEE Trans. Syst. Man Cybern. Syst., June, 2024

Two-Step Strategy for Domain Adaptation Retrieval.

Yonghao Chen, Xiaozhao Fang, Yuanyuan Liu, Wei Zheng, Peipei Kang, Na Han, Shengli Xie

IEEE Trans. Knowl. Data Eng., February, 2024

SCH: Symmetric Consistent Hashing for cross-modal retrieval.

Haomin Ni, Xiaozhao Fang, Peipei Kang, Hongbo Gao, Guoxu Zhou, Shengli Xie

Signal Process., February, 2024

Two-Stage Asymmetric Similarity Preserving Hashing for Cross-Modal Retrieval.

Junfan Huang, Peipei Kang, Na Han, Yonghao Chen, Xiaozhao Fang, Hongbo Gao, Guoxu Zhou

IEEE Trans. Knowl. Data Eng., January, 2024

Dual Noise Elimination and Dynamic Label Correlation Guided Partial Multi-Label Learning.

Yan Hu, Xiaozhao Fang, Peipei Kang, Yonghao Chen, Yuting Fang, Shengli Xie

IEEE Trans. Multim., 2024

Object Detection in Adverse Weather for Autonomous Vehicles Based on Sensor Fusion and Incremental Learning.

Huiping Su, Hongbo Gao, Xinmiao Wang, Xiaozhao Fang, Qingchao Liu, Guang-Bin Huang, Xin Li, Qi Cao

IEEE Trans. Instrum. Meas., 2024

Partial Multi-label Learning Based On Near-Far Neighborhood Label Enhancement And Nonlinear Guidance.

Yu Chen, Yanan Wu, Na Han, Xiaozhao Fang, Bingzhi Chen, Jie Wen

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Stay Focused is All You Need for Adversarial Robustness.

Bingzhi Chen, Ruihan Liu, Yishu Liu, Xiaozhao Fang, Jiahui Pan, Guangming Lu, Zheng Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

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

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

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

Denoising High-Order Graph Clustering.

Yonghao Chen, Ruibing Chen, Qiaoyun Li, Xiaozhao Fang, Jiaxing Li, Wai Keung Wong

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

QMGR-Net: quaternion multi-graph reasoning network for 3D hand pose estimation.

Haomin Ni, Shengli Xie, Pingping Xu, Xiaozhao Fang, Weijun Sun, Ribo Fang

Int. J. Mach. Learn. Cybern., December, 2023

Adaptive affinity matrix learning for dimensionality reduction.

Junran He, Xiaozhao Fang, Peipei Kang, Lin Jiang, Lunke Fei, Na Han, Weijun Sun

Int. J. Mach. Learn. Cybern., December, 2023

Cross-modal hashing with missing labels.

Haomin Ni, Jianjun Zhang, Peipei Kang, Xiaozhao Fang, Weijun Sun, Shengli Xie, Na Han

Neural Networks, August, 2023

Low-rank constraint based dual projections learning for dimensionality reduction.

Lin Jiang, Xiaozhao Fang, Weijun Sun, Na Han, Shaohua Teng

Signal Process., 2023

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

Weiying Guo, Xiaozhao Fang, Lin Jiang, Na Han, Shaohua Teng

Knowl. Based Syst., 2023

Traffic intersection crossing method for intelligent vehicles based on game theory.

Yikai Wang, Zhuming Nie, Yuquan Wu, Xiaozhao Fang, Xi He, Hongbo Gao

Int. J. Space Based Situated Comput., 2023

MKB: Multi-Kernel Bures Metric for Nighttime Aerial Tracking.

Yingjie He, Peipei Kang, Qintai Hu, Xiaozhao Fang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Partial multi-label learning: exploration of binary ground-truth labels.

Yan Hu, Xiaozhao Fang, Weijun Lv, Peipei Kang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Towards pen-holding hand pose recognition: A new benchmark and a coarse-to-fine PHHP recognition network.

Pingping Wu, Lunke Fei, Shuyi Li, Shuping Zhao, Xiaozhao Fang, Shaohua Teng

IET Biom., November, 2022

Cross-Domain Recognition via Projective Cross-Reconstruction.

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

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

Average Approximate Hashing-Based Double Projections Learning for Cross-Modal Retrieval.

Xiaozhao Fang, Kaihang Jiang, Na Han, Shaohua Teng, Guoxu Zhou, Shengli Xie

IEEE Trans. Cybern., 2022

Dynamic Double Classifiers Approximation for Cross-Domain Recognition.

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

IEEE Trans. Cybern., 2022

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

Peipei Kang, Zehang Lin, Zhenguo Yang, Xiaozhao Fang, Alexander M. Bronstein, Qing Li, Wenyin Liu

Appl. Intell., 2022

Semantic-Adversarial Graph Convolutional Network for Zero-Shot Cross-Modal Retrieval.

Chuang Li, Lunke Fei, Peipei Kang, Jiahao Liang, Xiaozhao Fang, Shaohua Teng

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Adaptive Joint Interdependency Learning for 2D Occluded Hand Pose Estimation.

Pingping Wu, Lunke Fei, Shuping Zhao, Peipei Kang, Shaohua Teng, Xiaozhao Fang

Proceedings of the Biometric Recognition - 16th Chinese Conference, 2022

2021

A novel consensus learning approach to incomplete multi-view clustering.

Jianlun Liu, Shaohua Teng, Lunke Fei, Wei Zhang, Xiaozhao Fang, Zhuxiu Zhang, Naiqi Wu

Pattern Recognit., 2021

Discrete matrix factorization hashing for cross-modal retrieval.

Xiaozhao Fang, Zhihu Liu, Na Han, Lin Jiang, Shaohua Teng

Int. J. Mach. Learn. Cybern., 2021

Incomplete Multi-View Subspace Clustering with Low-Rank Tensor.

Jianlun Liu, Shaohua Teng, Wei Zhang, Xiaozhao Fang, Lunke Fei, Zhuxiu Zhang

Proceedings of the IEEE International Conference on Acoustics, 2021

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

Junping He, Shaohua Teng, Lunke Fei, Xiaozhao Fang, Wei Zhang

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

2020

Transferable Linear Discriminant Analysis.

Na Han, Jigang Wu, Xiaozhao Fang, Jie Wen, Shanhua Zhan, Shengli Xie, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2020

Latent Elastic-Net Transfer Learning.

Na Han, Jigang Wu, Xiaozhao Fang, Shengli Xie, Shanhua Zhan, Kan Xie, Xuelong Li

IEEE Trans. Image Process., 2020

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

Na Han, Jigang Wu, Xiaozhao Fang, Shaohua Teng, Guoxu Zhou, Shengli Xie, Xuelong Li

IEEE Trans. Image Process., 2020

Group Low-Rank Representation-Based Discriminant Linear Regression.

Shanhua Zhan, Jigang Wu, Na Han, Jie Wen, Xiaozhao Fang

IEEE Trans. Circuits Syst. Video Technol., 2020

Clustering Structure-Induced Robust Multi-View Graph Recovery.

Wai Keung Wong, Na Han, Xiaozhao Fang, Shanhua Zhan, Jie Wen

IEEE Trans. Circuits Syst. Video Technol., 2020

Active Transfer Learning.

Zhihao Peng, Wei Zhang, Na Han, Xiaozhao Fang, Peipei Kang, Luyao Teng

IEEE Trans. Circuits Syst. Video Technol., 2020

Double Relaxed Regression for Image Classification.

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

IEEE Trans. Circuits Syst. Video Technol., 2020

Multiple Projections Learning for Dimensional Reduction.

Lin Jiang, Xiaozhao Fang, Na Han

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2020

2019

Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification.

Xiaozhao Fang, Na Han, Wai Keung Wong, Shaohua Teng, Jigang Wu, Shengli Xie, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2019

Low-Rank Preserving Projection Via Graph Regularized Reconstruction.

Jie Wen, Na Han, Xiaozhao Fang, Lunke Fei, Ke Yan, Shanhua Zhan

IEEE Trans. Cybern., 2019

Robust Sparse Linear Discriminant Analysis.

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

IEEE Trans. Circuits Syst. Video Technol., 2019

Unsupervised feature extraction by low-rank and sparsity preserving embedding.

Shanhua Zhan, Jigang Wu, Na Han, Jie Wen, Xiaozhao Fang

Neural Networks, 2019

Joint sparse representation and locality preserving projection for feature extraction.

Wei Zhang, Peipei Kang, Xiaozhao Fang, Luyao Teng, Na Han

Int. J. Mach. Learn. Cybern., 2019

Unsupervised feature selection with adaptive residual preserving.

Luyao Teng, Zhenye Feng, Xiaozhao Fang, Shaohua Teng, Hua Wang, Peipei Kang, Yanchun Zhang

Neurocomputing, 2019

Protein fold recognition based on multi-view modeling.

Ke Yan, Xiaozhao Fang, Yong Xu, Bin Liu

Bioinform., 2019

Deep Semantic Space with Intra-class Low-rank Constraint for Cross-modal Retrieval.

Peipei Kang, Zehang Lin, Zhenguo Yang, Xiaozhao Fang, Qing Li, Wenyin Liu

Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

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

Limin Lu, Shaohua Teng, Wei Zhang, Zhenhua Zhang, Dongning Liu, Xiaozhao Fang

Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019

Two-Layer Intrusion Detection Model Based on Ensemble Classifier.

Limin Lu, Shaohua Teng, Wei Zhang, Zhenhua Zhang, Lunke Fei, Xiaozhao Fang

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2019

Solving the Signal Relay Problem of UAV in Disaster Relief via Group Role Assignment.

Qian Jiang, Haibin Zhu, Ming Liao, Baoying Huang, Xiaozhao Fang, Dongning Liu

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2019

2018

Regularized Label Relaxation Linear Regression.

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

IEEE Trans. Neural Networks Learn. Syst., 2018

Robust Latent Subspace Learning for Image Classification.

Xiaozhao Fang, Shaohua Teng, Zhihui Lai, Zhaoshui He, Shengli Xie, Wai Keung Wong

IEEE Trans. Neural Networks Learn. Syst., 2018

Approximate Low-Rank Projection Learning for Feature Extraction.

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

IEEE Trans. Neural Networks Learn. Syst., 2018

Robust Spectral Subspace Clustering Based on Least Square Regression.

Zongze Wu, Ming Yin, Yajing Zhou, Xiaozhao Fang, Shengli Xie

Neural Process. Lett., 2018

Low-rank representation with adaptive graph regularization.

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

Neural Networks, 2018

Low-rank and sparse embedding for dimensionality reduction.

Na Han, Jigang Wu, Yingyi Liang, Xiaozhao Fang, Wai Keung Wong, Shaohua Teng

Neural Networks, 2018

Adaptive Locality Preserving based Discriminative Regression.

Jie Wen, Lunke Fei, Zhihui Lai, Zheng Zhang, Jian Wu, Xiaozhao Fang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

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

Shaohua Teng, Zhenhua Zhang, Luyao Teng, Wei Zhang, Haibin Zhu, Xiaozhao Fang, Lunke Fei

Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

LSTM Sentiment Polarity Analysis Based on LDA Clustering.

Zechuan Chen, Shaohua Teng, Wei Zhang, Huan Tang, Zhenhua Zhang, Junping He, Xiaozhao Fang, Lunke Fei

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2018

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

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

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

2017

Rate of Convergence of the FOCUSS Algorithm.

Kan Xie, Zhaoshui He, Andrzej Cichocki, Xiaozhao Fang

IEEE Trans. Neural Networks Learn. Syst., 2017

Low-Rank Embedding for Robust Image Feature Extraction.

Wai Keung Wong, Zhihui Lai, Jiajun Wen, Xiaozhao Fang, Yuwu Lu

IEEE Trans. Image Process., 2017

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

Lunke Fei, Yong Xu, Xiaozhao Fang, Jian Yang

Pattern Recognit., 2017

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

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

Neural Networks, 2017

Protein fold recognition based on sparse representation based classification.

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

Artif. Intell. Medicine, 2017

Multiple Assignment in Task Allocation of Communication Base Stations.

Dongning Liu, Tong-wu Liu, Xian-jun Zhu, Wei Zhang, Xiaozhao Fang, Chong-jia Peng

Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing, 2017

Local Orientation Binary Pattern with Use for Palmprint Recognition.

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

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

2016

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

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

IEEE Trans. Image Process., 2016

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

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

IEEE Trans. Cybern., 2016

Individualized learning for improving kernel Fisher discriminant analysis.

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

Pattern Recognit., 2016

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

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

Neurocomputing, 2016

Semi-supervised Sparse Subspace Clustering on Symmetric Positive Definite Manifolds.

Ming Yin, Xiaozhao Fang, Shengli Xie

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

2015

Learning a Nonnegative Sparse Graph for Linear Regression.

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

IEEE Trans. Image Process., 2015

Noise-free representation based classification and face recognition experiments.

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

Neurocomputing, 2015

Orthogonal self-guided similarity preserving projections.

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

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

2014

Data Uncertainty in Face Recognition.

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

IEEE Trans. Cybern., 2014

Kernel linear regression for face recognition.

Yuwu Lu, Xiaozhao Fang, Binglei Xie

Neural Comput. Appl., 2014

Enhancing sparsity via full rank decomposition for robust face recognition.

Yuwu Lu, Jinrong Cui, Xiaozhao Fang

Neural Comput. Appl., 2014

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

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

Neurocomputing, 2014

Locality and similarity preserving embedding for feature selection.

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

Neurocomputing, 2014

2013

Local minimum squared error for face and handwritten character recognition.

Zizhu Fan, Jinghua Wang, Qi Zhu, Xiaozhao Fang, Jinrong Cui, Chunhua Li

J. Electronic Imaging, 2013

2012

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

Xiaozhao Fang, Yong Xu

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