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Xiaozhao Fang
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2020 – today
- 2024
- [j57]Yonghao Chen, Xiaozhao Fang, Yuanyuan Liu, Xi Hu, Na Han, Peipei Kang:
Anchor-based Domain Adaptive Hashing for unsupervised image retrieval. Int. J. Mach. Learn. Cybern. 15(12): 6011-6026 (2024) - [j56]Haomin Ni, Xiaozhao Fang
, Peipei Kang, Hongbo Gao, Guoxu Zhou, Shengli Xie:
SCH: Symmetric Consistent Hashing for cross-modal retrieval. Signal Process. 215: 109255 (2024) - [j55]Huiping Su, Hongbo Gao, Xinmiao Wang, Xiaozhao Fang, Qingchao Liu, Guang-Bin Huang, Xin Li, Qi Cao:
Object Detection in Adverse Weather for Autonomous Vehicles Based on Sensor Fusion and Incremental Learning. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j54]Junfan Huang
Two-Stage Asymmetric Similarity Preserving Hashing for Cross-Modal Retrieval. IEEE Trans. Knowl. Data Eng. 36(1): 429-444 (2024) - [j53]Yonghao Chen
Two-Step Strategy for Domain Adaptation Retrieval. IEEE Trans. Knowl. Data Eng. 36(2): 897-912 (2024) - [j52]Yan Hu, Xiaozhao Fang
Dual Noise Elimination and Dynamic Label Correlation Guided Partial Multi-Label Learning. IEEE Trans. Multim. 26: 5641-5656 (2024) - [j51]Junfan Huang
Efficient Discriminative Hashing for Cross-Modal Retrieval. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3865-3878 (2024) - [c24]Yonghao Chen
Denoising High-Order Graph Clustering. ICDE 2024: 3111-3124 - [c23]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 - [c22]Yu Chen
Partial Multi-label Learning Based On Near-Far Neighborhood Label Enhancement And Nonlinear Guidance. ACM Multimedia 2024: 3722-3731 - [c21]Bingzhi Chen
Stay Focused is All You Need for Adversarial Robustness. ACM Multimedia 2024: 6482-6491 - 2023
- [j50]Yikai Wang, Zhuming Nie, Yuquan Wu, Xiaozhao Fang, Xi He, Hongbo Gao:
Traffic intersection crossing method for intelligent vehicles based on game theory. Int. J. Space Based Situated Comput. 9(3): 138-146 (2023) - [j49]Weiying Guo, Xiaozhao Fang
Low-rank constraint-based multiple projections learning for cross-domain classification. Knowl. Based Syst. 276: 110734 (2023) - [j48]Haomin Ni, Shengli Xie, Pingping Xu
QMGR-Net: quaternion multi-graph reasoning network for 3D hand pose estimation. Int. J. Mach. Learn. Cybern. 14(12): 4029-4045 (2023) - [j47]Junran He, Xiaozhao Fang, Peipei Kang
Adaptive affinity matrix learning for dimensionality reduction. Int. J. Mach. Learn. Cybern. 14(12): 4063-4077 (2023) - [j46]Haomin Ni, Jianjun Zhang, Peipei Kang, Xiaozhao Fang
Cross-modal hashing with missing labels. Neural Networks 165: 60-76 (2023) - [j45]Lin Jiang, Xiaozhao Fang
Low-rank constraint based dual projections learning for dimensionality reduction. Signal Process. 204: 108817 (2023) - [c20]Yan Hu, Xiaozhao Fang, Weijun Lv, Peipei Kang:
Partial multi-label learning: exploration of binary ground-truth labels. ICME 2023: 1811-1816 - [c19]Yingjie He, Peipei Kang, Qintai Hu, Xiaozhao Fang:
MKB: Multi-Kernel Bures Metric for Nighttime Aerial Tracking. PRCV (10) 2023: 212-224 - 2022
- [j44]Peipei Kang
Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval. Appl. Intell. 52(1): 33-54 (2022) - [j43]Pingping Wu
Towards pen-holding hand pose recognition: A new benchmark and a coarse-to-fine PHHP recognition network. IET Biom. 11(6): 581-587 (2022) - [j42]Xiaozhao Fang
Dynamic Double Classifiers Approximation for Cross-Domain Recognition. IEEE Trans. Cybern. 52(4): 2618-2629 (2022) - [j41]Xiaozhao Fang
Average Approximate Hashing-Based Double Projections Learning for Cross-Modal Retrieval. IEEE Trans. Cybern. 52(11): 11780-11793 (2022) - [j40]Xiaozhao Fang
Cross-Domain Recognition via Projective Cross-Reconstruction. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7366-7377 (2022) - [c18]Pingping Wu, Lunke Fei, Shuping Zhao, Peipei Kang, Shaohua Teng, Xiaozhao Fang:
Adaptive Joint Interdependency Learning for 2D Occluded Hand Pose Estimation. CCBR 2022: 217-225 - [c17]Chuang Li, Lunke Fei, Peipei Kang, Jiahao Liang, Xiaozhao Fang, Shaohua Teng:
Semantic-Adversarial Graph Convolutional Network for Zero-Shot Cross-Modal Retrieval. PRICAI (2) 2022: 459-472 - 2021
- [j39]Xiaozhao Fang, Zhihu Liu, Na Han
Discrete matrix factorization hashing for cross-modal retrieval. Int. J. Mach. Learn. Cybern. 12(10): 3023-3036 (2021) - [j38]Jianlun Liu, Shaohua Teng
A novel consensus learning approach to incomplete multi-view clustering. Pattern Recognit. 115: 107890 (2021) - [c16]Junping He, Shaohua Teng, Lunke Fei, Xiaozhao Fang, Wei Zhang:
A Collaboration Multi-Domain Sentiment Classification on Specific Domain and Global Features. CSCWD 2021: 323-328 - [c15]Jianlun Liu, Shaohua Teng, Wei Zhang, Xiaozhao Fang, Lunke Fei, Zhuxiu Zhang:
Incomplete Multi-View Subspace Clustering with Low-Rank Tensor. ICASSP 2021: 3180-3184 - 2020
- [j37]Na Han
Double Relaxed Regression for Image Classification. IEEE Trans. Circuits Syst. Video Technol. 30(2): 307-319 (2020) - [j36]Shanhua Zhan
Group Low-Rank Representation-Based Discriminant Linear Regression. IEEE Trans. Circuits Syst. Video Technol. 30(3): 760-770 (2020) - [j35]Zhihao Peng
Active Transfer Learning. IEEE Trans. Circuits Syst. Video Technol. 30(4): 1022-1036 (2020) - [j34]Wai Keung Wong
Clustering Structure-Induced Robust Multi-View Graph Recovery. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3584-3597 (2020) - [j33]Na Han
Latent Elastic-Net Transfer Learning. IEEE Trans. Image Process. 29: 2820-2833 (2020) - [j32]Na Han
Projective Double Reconstructions Based Dictionary Learning Algorithm for Cross-Domain Recognition. IEEE Trans. Image Process. 29: 9220-9233 (2020) - [j31]Na Han
Transferable Linear Discriminant Analysis. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5630-5638 (2020) - [c14]Lin Jiang, Xiaozhao Fang, Na Han:
Multiple Projections Learning for Dimensional Reduction. PDCAT 2020: 166-171
2010 – 2019
- 2019
- [j30]Ke Yan, Xiaozhao Fang, Yong Xu, Bin Liu:
Protein fold recognition based on multi-view modeling. Bioinform. 35(17): 2982-2990 (2019) - [j29]Luyao Teng, Zhenye Feng, Xiaozhao Fang
Unsupervised feature selection with adaptive residual preserving. Neurocomputing 367: 259-272 (2019) - [j28]Wei Zhang, Peipei Kang
Joint sparse representation and locality preserving projection for feature extraction. Int. J. Mach. Learn. Cybern. 10(7): 1731-1745 (2019) - [j27]Shanhua Zhan, Jigang Wu
Unsupervised feature extraction by low-rank and sparsity preserving embedding. Neural Networks 109: 56-66 (2019) - [j26]Jie Wen
Robust Sparse Linear Discriminant Analysis. IEEE Trans. Circuits Syst. Video Technol. 29(2): 390-403 (2019) - [j25]Jie Wen
Low-Rank Preserving Projection Via Graph Regularized Reconstruction. IEEE Trans. Cybern. 49(4): 1279-1291 (2019) - [j24]Xiaozhao Fang
Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1133-1149 (2019) - [c13]Qian Jiang, Haibin Zhu
Solving the Signal Relay Problem of UAV in Disaster Relief via Group Role Assignment. ChineseCSCW 2019: 18-29 - [c12]Limin Lu, Shaohua Teng, Wei Zhang, Zhenhua Zhang, Lunke Fei, Xiaozhao Fang:
Two-Layer Intrusion Detection Model Based on Ensemble Classifier. ChineseCSCW 2019: 104-115 - [c11]Limin Lu, Shaohua Teng, Wei Zhang, Zhenhua Zhang, Dongning Liu, Xiaozhao Fang:
Error-correcting Ability based Collaborative Multi-Layer Selective Classifier Ensemble Model for Intrusion Detection. CSCWD 2019: 4-9 - [c10]Peipei Kang, Zehang Lin
Deep Semantic Space with Intra-class Low-rank Constraint for Cross-modal Retrieval. ICMR 2019: 226-234 - 2018
- [j23]Jie Wen
Low-rank representation with adaptive graph regularization. Neural Networks 108: 83-96 (2018) - [j22]Na Han, Jigang Wu, Yingyi Liang, Xiaozhao Fang
Low-rank and sparse embedding for dimensionality reduction. Neural Networks 108: 202-216 (2018) - [j21]Zongze Wu, Ming Yin
Robust Spectral Subspace Clustering Based on Least Square Regression. Neural Process. Lett. 48(3): 1359-1372 (2018) - [j20]Xiaozhao Fang, Yong Xu, Xuelong Li
Regularized Label Relaxation Linear Regression. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1006-1018 (2018) - [j19]Xiaozhao Fang, Shaohua Teng
Robust Latent Subspace Learning for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2502-2515 (2018) - [j18]Xiaozhao Fang
Approximate Low-Rank Projection Learning for Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5228-5241 (2018) - [c9]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 - [c8]Zechuan Chen, Shaohua Teng, Wei Zhang, Huan Tang, Zhenhua Zhang, Junping He, Xiaozhao Fang, Lunke Fei:
LSTM Sentiment Polarity Analysis Based on LDA Clustering. ChineseCSCW 2018: 342-355 - [c7]Shaohua Teng, Zhenhua Zhang, Luyao Teng, Wei Zhang, Haibin Zhu
A Collaborative Intrusion Detection Model using a novel optimal weight strategy based on Genetic Algorithm for Ensemble Classifier. CSCWD 2018: 761-766 - [c6]Jie Wen
Adaptive Locality Preserving based Discriminative Regression. ICPR 2018: 535-540 - 2017
- [j17]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) - [j16]Xiaozhao Fang
Orthogonal self-guided similarity preserving projection for classification and clustering. Neural Networks 88: 1-8 (2017) - [j15]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) - [j14]Wai Keung Wong
Low-Rank Embedding for Robust Image Feature Extraction. IEEE Trans. Image Process. 26(6): 2905-2917 (2017) - [j13]Kan Xie, Zhaoshui He, Andrzej Cichocki, Xiaozhao Fang:
Rate of Convergence of the FOCUSS Algorithm. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1276-1289 (2017) - [c5]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 - [c4]Dongning Liu, Tong-wu Liu, Xian-jun Zhu, Wei Zhang, Xiaozhao Fang, Chong-jia Peng:
Multiple Assignment in Task Allocation of Communication Base Stations. ChineseCSCW 2017: 161-164 - 2016
- [j12]Lunke Fei, Yong Xu, Bob Zhang
Low-rank representation integrated with principal line distance for contactless palmprint recognition. Neurocomputing 218: 264-275 (2016) - [j11]Zizhu Fan, Yong Xu, Ming Ni, Xiaozhao Fang, David Zhang
Individualized learning for improving kernel Fisher discriminant analysis. Pattern Recognit. 58: 100-109 (2016) - [j10]Xiaozhao Fang, Yong Xu, Xuelong Li
Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation. IEEE Trans. Cybern. 46(8): 1828-1838 (2016) - [j9]Yong Xu, Xiaozhao Fang, Jian Wu, Xuelong Li
Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation. IEEE Trans. Image Process. 25(2): 850-863 (2016) - [c3]Ming Yin
Semi-supervised Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CCPR (1) 2016: 601-611 - 2015
- [j8]Yong Xu, Xiaozhao Fang, Jane You
Noise-free representation based classification and face recognition experiments. Neurocomputing 147: 307-314 (2015) - [j7]Xiaozhao Fang, Yong Xu, Xuelong Li
Learning a Nonnegative Sparse Graph for Linear Regression. IEEE Trans. Image Process. 24(9): 2760-2771 (2015) - [c2]Xiaozhao Fang, Yong Xu, Zheng Zhang
Orthogonal self-guided similarity preserving projections. ICIP 2015: 344-348 - 2014
- [j6]Xiaozhao Fang, Yong Xu, Xuelong Li
Locality and similarity preserving embedding for feature selection. Neurocomputing 128: 304-315 (2014) - [j5]Yong Xu, Xiaozhao Fang, Qi Zhu, Yan Chen, Jane You
Modified minimum squared error algorithm for robust classification and face recognition experiments. Neurocomputing 135: 253-261 (2014) - [j4]Yuwu Lu, Xiaozhao Fang, Binglei Xie:
Kernel linear regression for face recognition. Neural Comput. Appl. 24(7-8): 1843-1849 (2014) - [j3]Yuwu Lu, Jinrong Cui, Xiaozhao Fang:
Enhancing sparsity via full rank decomposition for robust face recognition. Neural Comput. Appl. 25(5): 1043-1052 (2014) - [j2]Yong Xu, Xiaozhao Fang, Xuelong Li
Data Uncertainty in Face Recognition. IEEE Trans. Cybern. 44(10): 1950-1961 (2014) - 2013
- [j1]Zizhu Fan, Jinghua Wang, Qi Zhu, Xiaozhao Fang, Jinrong Cui, Chunhua Li:
Local minimum squared error for face and handwritten character recognition. J. Electronic Imaging 22(3): 033027 (2013) - 2012
- [c1]Xiaozhao Fang, Yong Xu:
Combine the clustering algorithm and representation-based algorithm for concurrent classification of test samples. CISDA 2012: 1-5
Coauthor Index
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last updated on 2024-11-19 20:42 CET by the dblp team
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