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ORCIDZhengming Ma
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2020 – today
- 2023
[j52]Wenxu Gao
, Zhengming Ma, Chenkui Xiong, Ting Gao:
Dimensionality reduction of SPD data based on Riemannian manifold tangent spaces and local affinity. Appl. Intell. 53(2): 1887-1911 (2023)- [j51]Yanzhen Qiu, Chuangfeng Zhang, Chenkui Xiong, Zhengming Ma, Shaolin Liao:
RKHS subspace domain adaption via minimum distribution gap. Pattern Anal. Appl. 26(3): 1425-1439 (2023) - [j50]Wanguang Yin, Zhengming Ma, Quanying Liu:
Discriminative subspace learning via optimization on Riemannian manifold. Pattern Recognit. 139: 109450 (2023) - 2022
- [j49]Hui He, Shuyu Liu, Zhengming Ma, Weijia Feng:
Dictionary Learning of Symmetric Positive Definite Data Based on Riemannian Manifold Tangent Spaces and Local Homeomorphism. IEEE Access 10: 46114-46127 (2022) - [j48]Yanzhen Qiu, Shuyu Liu, Zhengming Ma, Hui He:
Domain Adaption Based on MSE Criterion and Progressive RKHS Subspace Learning (MSEpRKHS_DA). IEEE Access 10: 112565-112577 (2022) - [j47]Wenxu Gao, Zhengming Ma, Xuejing Yuan:
Dimensionality reduction algorithm of tensor data based on orthogonal tucker decomposition and local discrimination difference. Appl. Intell. 52(12): 14518-14540 (2022) - [j46]Linzhi Jiang, Shuyu Liu, Zhengming Ma, Wenjie Lei, Cheng Chen:
Regularized RKHS-Based Subspace Learning for Motor Imagery Classification. Entropy 24(2): 195 (2022) - [j45]Guo Niu, Zhengming Ma:
Tensor local linear embedding with global subspace projection optimisation. IET Comput. Vis. 16(3): 241-254 (2022) - [j44]Wanguang Yin, Youzhi Qu, Zhengming Ma, Quanying Liu:
HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction. Neurocomputing 512: 190-202 (2022) - [j43]Guo Niu, Zhengming Ma, Xi Liu:
Local homeomorphism regularized non-negative Tucker decomposition of tensor data. J. Intell. Fuzzy Syst. 43(5): 6743-6754 (2022) - [j42]Haidong Huang, Zhengming Ma, Guokai Zhang:
Dimensionality reduction of tensors based on manifold-regularized tucker decomposition and its iterative solution. Int. J. Mach. Learn. Cybern. 13(2): 509-522 (2022) - [j41]Shujie Zhang, Zhengming Ma, Guokai Zhang, Weichao Gan:
Dimensionality Reduction Based on Multilocal Linear Pattern Preservation. IEEE Trans. Knowl. Data Eng. 34(4): 1696-1709 (2022) - 2021
- [j40]Qian Li, Zhengming Ma, Shuyu Liu, Yanli Pei:
Domain Adaption Based on Symmetric Matrices Space Bi-Subspace Learning and Source Linear Discriminant Analysis Regularization. IEEE Access 9: 146984-147002 (2021) - [j39]Wenjie Lei, Zhengming Ma, Shuyu Liu, Yuanping Lin:
EEG Mental Recognition Based on RKHS Learning and Source Dictionary Regularized RKHS Subspace Learning. IEEE Access 9: 150545-150559 (2021) - [j38]Wenxu Gao, Zhengming Ma, Weichao Gan, Shuyu Liu:
Dimensionality Reduction of SPD Data Based on Riemannian Manifold Tangent Spaces and Isometry. Entropy 23(9): 1117 (2021) - [j37]Guo Niu, Zhengming Ma:
Tensor dimensionality reduction via mode product and HSIC. IET Image Process. 15(12): 2986-3002 (2021) - [j36]Weichao Gan, Zhengming Ma, Shuyu Liu:
Dimensionality reduction for tensor data based on projection distance minimization and hilbert-schmidt independence criterion maximization. J. Intell. Fuzzy Syst. 40(5): 10307-10322 (2021) - [j35]Guo Niu, Zhengming Ma:
Local quasi-linear embedding based on kronecker product expansion of vectors. J. Intell. Fuzzy Syst. 41(1): 2195-2205 (2021) - [j34]Ting Gao, Zhengming Ma, Wenxu Gao, Shuyu Liu:
Dimensionality reduction of tensor data based on local linear embedding and mode product. J. Intell. Fuzzy Syst. 41(2): 2779-2796 (2021) - [j33]Guo Niu, Zhengming Ma, Haoqing Chen, Xue Su:
Polynomial approximation to manifold learning. J. Intell. Fuzzy Syst. 41(6): 5791-5806 (2021) - [j32]Gengshi Huang, Zhengming Ma, Tianshi Luo:
Dimensionality Reduction Based on kCCC and Manifold Learning. J. Math. Imaging Vis. 63(8): 1010-1035 (2021) - [j31]Weijia Feng, Zhengming Ma, Rixin Zhuang, Hangjian Che:
The framework of learnable kernel function and its application to dictionary learning of SPD data. Pattern Anal. Appl. 24(2): 723-739 (2021) - [j30]Wenjie Lei, Zhengming Ma, Yuanping Lin, Wenxu Gao:
Domain adaption based on source dictionary regularized RKHS subspace learning. Pattern Anal. Appl. 24(4): 1513-1532 (2021) - [j29]Haidong Huang, Zhengming Ma, Guokai Zhang, Huibin Wu:
Dimensionality reduction based on multi-local linear regression and global subspace projection distance minimum. Pattern Anal. Appl. 24(4): 1713-1730 (2021) - [j28]Shujie Zhang, Zhengming Ma, Weichao Gan:
Dimensionality Reduction for Tensor Data Based on Local Decision Margin Maximization. IEEE Trans. Image Process. 30: 234-248 (2021) - [j27]Zhengming Ma, Zengrong Zhan, Zijian Feng, Jiajing Guo:
Manifold Learning Based on Straight-Like Geodesics and Local Coordinates. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4956-4970 (2021) - [c7]Xuejing Yuan, Xiao Huang, Zhengming Ma:
SPD Data Dimensionality Reduction based on SPD Manifold Tangent Space and Local LDA. ICACS 2021: 68-73 - [i3]Wanguang Yin, Zhengming Ma, Quanying Liu:
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction. CoRR abs/2101.06827 (2021) - [i2]Wanguang Yin, Zhengming Ma, Quanying Liu:
Riemannian-based Discriminant Analysis for Feature Extraction and Classification. CoRR abs/2101.08032 (2021) - [i1]Xinlong Lu, Zhengming Ma, Yuanping Lin:
Domain Adaptive Learning Based on Sample-Dependent and Learnable Kernels. CoRR abs/2102.09340 (2021) - 2020
- [j26]Rixin Zhuang, Zhengming Ma, Weijia Feng, Yuanping Lin:
SPD Data Dictionary Learning Based on Kernel Learning and Riemannian Metric. IEEE Access 8: 61956-61972 (2020) - [j25]Guokai Zhang, Zhengming Ma, Haidong Huang:
Dimensionality Reduction of Tensors Based on Local Homeomorphism and Global Subspace Projection Distance Minimum. IEEE Access 8: 116064-116077 (2020) - [j24]Xinya Peng, Zhengming Ma, Haowei Xu:
Maximum Discriminant Difference Criterion for Dimensionality Reduction of Tensor Data. IEEE Access 8: 193593-193607 (2020) - [j23]Guokai Zhang, Zhengming Ma, Haidong Huang:
Dimensionality reduction of tensor based on subspace learning and local homeomorphism. J. Intell. Fuzzy Syst. 39(1): 1391-1405 (2020) - [j22]Wanguang Yin, Zhengming Ma:
High order discriminant analysis based on Riemannian optimization. Knowl. Based Syst. 195: 105630 (2020) - [j21]Xi Liu, Zhengming Ma:
Kernel-Based Subspace Learning on Riemannian Manifolds for Visual Recognition. Neural Process. Lett. 51(1): 147-165 (2020) - [j20]Xinghua Zheng, Zhengming Ma, Lei Li:
Local tangent space alignment based on Hilbert-Schmidt independence criterion regularization. Pattern Anal. Appl. 23(2): 855-868 (2020) - [j19]Yaohui Liu, Dong Liu, Fang Yu, Zhengming Ma:
A Double-Density Clustering Method Based on "Nearest to First in" Strategy. Symmetry 12(5): 747 (2020)
2010 – 2019
- 2019
- [j18]Xinghua Zheng, Zhengming Ma, Hangjian Che, Lei Li:
HSIC Regularized LTSA. Comput. Informatics 38(4): 917-936 (2019) - [j17]Wanguang Yin, Zhengming Ma:
LE & LLE Regularized Nonnegative Tucker Decomposition for clustering of high dimensional datasets. Neurocomputing 364: 77-94 (2019) - [j16]Xinghua Zheng, Zhengming Ma, Hanjian Che, Lei Li:
HSIC regularized manifold learning. J. Intell. Fuzzy Syst. 36(6): 5547-5558 (2019) - [j15]Zengrong Zhan, Zhengming Ma, Wei Peng:
Biomedical Data Analysis Based on Multi-view Intact Space Learning with Geodesic Similarity Preserving. Neural Process. Lett. 49(3): 1381-1398 (2019) - [c6]Yirui Zeng, Zhengming Ma:
A Lightweight Channel-spatial Attention Network for Real-time Image De-raining. DMIP 2019: 43-48 - 2018
- [j14]Zhengming Ma, Zengrong Zhan, Xiaoyuan Ouyang, Xue Su:
Nonlinear Dimensionality Reduction Based on HSIC Maximization. IEEE Access 6: 55537-55555 (2018) - [j13]Xi Liu, Zhengming Ma:
Discriminant Analysis with Local Gaussian Similarity Preserving for Feature Extraction. Neural Process. Lett. 47(1): 39-55 (2018) - [j12]Hengliang Tan, Ying Gao, Zhengming Ma:
Regularized constraint subspace based method for image set classification. Pattern Recognit. 76: 434-448 (2018) - [j11]Sumin Zhang, Zhengming Ma, Hengliang Tan:
On the Equivalence of HLLE and LTSA. IEEE Trans. Cybern. 48(2): 742-753 (2018) - 2017
- [j10]Guo Niu, Zhengming Ma:
Local non-linear alignment for non-linear dimensionality reduction. IET Comput. Vis. 11(5): 331-341 (2017) - [j9]Liu Yaohui, Zhengming Ma, Yu Fang:
Adaptive density peak clustering based on K-nearest neighbors with aggregating strategy. Knowl. Based Syst. 133: 208-220 (2017) - [j8]Guo Niu, Zhengming Ma, Shaogao Lv:
Ensemble Multiple-Kernel Based Manifold Regularization. Neural Process. Lett. 45(2): 539-552 (2017) - [c5]Zengrong Zhan, Zhengming Ma:
Document Analysis Based on Multi-view Intact Space Learning with Manifold Regularization. IScIDE 2017: 41-51 - 2015
- [j7]Hengliang Tan, Zhengming Ma, Sumin Zhang, Zengrong Zhan, Beibei Zhang, Chenggong Zhang:
Grassmann manifold for nearest points image set classification. Pattern Recognit. Lett. 68: 190-196 (2015) - 2014
- [j6]Hengliang Tan, Bing Yang, Zhengming Ma:
Face recognition based on the fusion of global and local HOG features of face images. IET Comput. Vis. 8(3): 224-234 (2014) - [j5]Zhengming Ma, Jing Chen:
The Huffman-like Alignment in Manifold Learning. Int. J. Pattern Recognit. Artif. Intell. 28(4) (2014) - [c4]Yanchun Gu, Defeng Zhang, Zhengming Ma, Guo Niu:
A Manifold Learning Fusion Algorithm Based on Distance and Angle Preservation. CCPR (1) 2014: 31-43 - 2013
- [j4]Jing Chen, Zhengming Ma, Yang Liu:
Local Coordinates Alignment With Global Preservation for Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. 24(1): 106-117 (2013) - 2012
- [c3]Sumin Zhang, Qiuli Kong, Shuaibin Lian, Zhengming Ma:
An improved HLLE algorithm based on the midpoint-nearest neighborhood selection. ICAL 2012: 185-190 - 2011
- [j3]Zhengming Ma, Jing Chen, Shuaibin Lian:
Constraints on the Neighborhood Size in LLE. IEICE Trans. Inf. Syst. 94-D(8): 1636-1640 (2011) - [j2]Jing Chen, Zhengming Ma:
Locally Linear Embedding: a Review. Int. J. Pattern Recognit. Artif. Intell. 25(7): 985-1008 (2011)
2000 – 2009
- 2009
- [j1]Haifeng Hu, Ping Zhang, Zhengming Ma:
Direct kernel neighborhood discriminant analysis for face recognition. Pattern Recognit. Lett. 30(10): 902-907 (2009) - 2007
- [c2]Yinghong Zhou, Zhengming Ma:
Embedded Morphological Dilation and Variable Run Length Wavelet Coding. MUE 2007: 1244-1248 - 2001
- [c1]Jianfen Zeng, Zhengming Ma:
Lifting scheme and image coding: average interpolating image coding. ISSPA 2001: 561-564
Coauthor Index
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