Zhengming Ma

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 51

Top Topics

Dimensionality Reduction

Manifold Regularization

Image Set Classification

Top Venues

J. Intell. Fuzzy Syst.

Pattern Anal. Appl.

Neural Process. Lett.

Publications

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) (2023)
Wanguang Yin, Zhengming Ma, Quanying Liu
Discriminative subspace learning via optimization on Riemannian manifold. Pattern Recognit. 139 (2023)
Yanzhen Qiu, Chuangfeng Zhang, Chenkui Xiong, Zhengming Ma, Shaolin Liao
RKHS subspace domain adaption via minimum distribution gap. Pattern Anal. Appl. 26 (3) (2023)
Guo Niu, Zhengming Ma, Xi Liu
Local homeomorphism regularized non-negative Tucker decomposition of tensor data. J. Intell. Fuzzy Syst. 43 (5) (2022)
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) (2022)
Wanguang Yin, Youzhi Qu, Zhengming Ma, Quanying Liu
HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction. Neurocomputing 512 (2022)
Linzhi Jiang, Shuyu Liu, Zhengming Ma, Wenjie Lei, Cheng Chen
Regularized RKHS-Based Subspace Learning for Motor Imagery Classification. Entropy 24 (2) (2022)
Shujie Zhang, Zhengming Ma, Guokai Zhang, Weichao Gan
Dimensionality Reduction Based on Multilocal Linear Pattern Preservation. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Yanzhen Qiu, Shuyu Liu, Zhengming Ma, Hui He
Domain Adaption Based on MSE Criterion and Progressive RKHS Subspace Learning (MSEpRKHS_DA). IEEE Access 10 (2022)
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 (2022)
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) (2022)
Guo Niu, Zhengming Ma
Tensor local linear embedding with global subspace projection optimisation. IET Comput. Vis. 16 (3) (2022)
Guo Niu, Zhengming Ma, Haoqing Chen, Xue Su
Polynomial approximation to manifold learning. J. Intell. Fuzzy Syst. 41 (6) (2021)
Wanguang Yin, Zhengming Ma, Quanying Liu
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction. CoRR (2021)
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 (2021)
Gengshi Huang, Zhengming Ma, Tianshi Luo
Dimensionality Reduction Based on kCCC and Manifold Learning. J. Math. Imaging Vis. 63 (8) (2021)
Wenjie Lei, Zhengming Ma, Yuanping Lin, Wenxu Gao
Domain adaption based on source dictionary regularized RKHS subspace learning. Pattern Anal. Appl. 24 (4) (2021)
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) (2021)
Wanguang Yin, Zhengming Ma, Quanying Liu
Riemannian-based Discriminant Analysis for Feature Extraction and Classification. CoRR (2021)
Xinlong Lu, Zhengming Ma, Yuanping Lin
Domain Adaptive Learning Based on Sample-Dependent and Learnable Kernels. CoRR (2021)
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) (2021)
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) (2021)
Guo Niu, Zhengming Ma
Local quasi-linear embedding based on kronecker product expansion of vectors. J. Intell. Fuzzy Syst. 41 (1) (2021)
Wenxu Gao, Zhengming Ma, Weichao Gan, Shuyu Liu
Dimensionality Reduction of SPD Data Based on Riemannian Manifold Tangent Spaces and Isometry. Entropy 23 (9) (2021)
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) (2021)
Xuejing Yuan, Xiao Huang, Zhengming Ma
SPD Data Dimensionality Reduction based on SPD Manifold Tangent Space and Local LDA. ICACS (2021)
Guo Niu, Zhengming Ma
Tensor dimensionality reduction via mode product and HSIC. IET Image Process. 15 (12) (2021)
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 (2021)
Shujie Zhang, Zhengming Ma, Weichao Gan
Dimensionality Reduction for Tensor Data Based on Local Decision Margin Maximization. IEEE Trans. Image Process. 30 (2021)
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) (2021)
Xinya Peng, Zhengming Ma, Haowei Xu
Maximum Discriminant Difference Criterion for Dimensionality Reduction of Tensor Data. IEEE Access 8 (2020)
Xi Liu, Zhengming Ma
Kernel-Based Subspace Learning on Riemannian Manifolds for Visual Recognition. Neural Process. Lett. 51 (1) (2020)
Guokai Zhang, Zhengming Ma, Haidong Huang
Dimensionality Reduction of Tensors Based on Local Homeomorphism and Global Subspace Projection Distance Minimum. IEEE Access 8 (2020)
Yaohui Liu, Dong Liu, Fang Yu, Zhengming Ma
A Double-Density Clustering Method Based on "Nearest to First in" Strategy. Symmetry 12 (5) (2020)
Xinghua Zheng, Zhengming Ma, Lei Li
Local tangent space alignment based on Hilbert-Schmidt independence criterion regularization. Pattern Anal. Appl. 23 (2) (2020)
Rixin Zhuang, Zhengming Ma, Weijia Feng, Yuanping Lin
SPD Data Dictionary Learning Based on Kernel Learning and Riemannian Metric. IEEE Access 8 (2020)
Guokai Zhang, Zhengming Ma, Haidong Huang
Dimensionality reduction of tensor based on subspace learning and local homeomorphism. J. Intell. Fuzzy Syst. 39 (1) (2020)
Wanguang Yin, Zhengming Ma
High order discriminant analysis based on Riemannian optimization. Knowl. Based Syst. 195 (2020)
Xinghua Zheng, Zhengming Ma, Hangjian Che, Lei Li
HSIC Regularized LTSA. Comput. Informatics 38 (4) (2019)
Wanguang Yin, Zhengming Ma
LE & LLE Regularized Nonnegative Tucker Decomposition for clustering of high dimensional datasets. Neurocomputing 364 (2019)
Yirui Zeng, Zhengming Ma
A Lightweight Channel-spatial Attention Network for Real-time Image De-raining. DMIP (2019)
Xinghua Zheng, Zhengming Ma, Hanjian Che, Lei Li
HSIC regularized manifold learning. J. Intell. Fuzzy Syst. 36 (6) (2019)
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) (2019)
Sumin Zhang, Zhengming Ma, Hengliang Tan
On the Equivalence of HLLE and LTSA. IEEE Trans. Cybern. 48 (2) (2018)
Zhengming Ma, Zengrong Zhan, Xiaoyuan Ouyang, Xue Su
Nonlinear Dimensionality Reduction Based on HSIC Maximization. IEEE Access 6 (2018)
Hengliang Tan, Ying Gao, Zhengming Ma
Regularized constraint subspace based method for image set classification. Pattern Recognit. 76 (2018)
Xi Liu, Zhengming Ma
Discriminant Analysis with Local Gaussian Similarity Preserving for Feature Extraction. Neural Process. Lett. 47 (1) (2018)
Zengrong Zhan, Zhengming Ma
Document Analysis Based on Multi-view Intact Space Learning with Manifold Regularization. IScIDE (2017)
Liu Yaohui, Zhengming Ma, Yu Fang
Adaptive density peak clustering based on K-nearest neighbors with aggregating strategy. Knowl. Based Syst. 133 (2017)
Guo Niu, Zhengming Ma, Shaogao Lv
Ensemble Multiple-Kernel Based Manifold Regularization. Neural Process. Lett. 45 (2) (2017)
Guo Niu, Zhengming Ma
Local non-linear alignment for non-linear dimensionality reduction. IET Comput. Vis. 11 (5) (2017)
Hengliang Tan, Zhengming Ma, Sumin Zhang, Zengrong Zhan, Beibei Zhang, Chenggong Zhang
Grassmann manifold for nearest points image set classification. Pattern Recognit. Lett. 68 (2015)
Zhengming Ma, Jing Chen
The Huffman-like Alignment in Manifold Learning. Int. J. Pattern Recognit. Artif. Intell. 28 (4) (2014)
Yanchun Gu, Defeng Zhang, Zhengming Ma, Guo Niu
A Manifold Learning Fusion Algorithm Based on Distance and Angle Preservation. CCPR (1) (2014)
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) (2014)
Jing Chen, Zhengming Ma, Yang Liu
Local Coordinates Alignment With Global Preservation for Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. 24 (1) (2013)
Sumin Zhang, Qiuli Kong, Shuaibin Lian, Zhengming Ma
An improved HLLE algorithm based on the midpoint-nearest neighborhood selection. ICAL (2012)
Jing Chen, Zhengming Ma
Locally Linear Embedding: a Review. Int. J. Pattern Recognit. Artif. Intell. 25 (7) (2011)
Zhengming Ma, Jing Chen, Shuaibin Lian
Constraints on the Neighborhood Size in LLE. IEICE Trans. Inf. Syst. (8) (2011)
Haifeng Hu, Ping Zhang, Zhengming Ma
Direct kernel neighborhood discriminant analysis for face recognition. Pattern Recognit. Lett. 30 (10) (2009)
Yinghong Zhou, Zhengming Ma
Embedded Morphological Dilation and Variable Run Length Wavelet Coding. MUE (2007)
Jianfen Zeng, Zhengming Ma
Lifting scheme and image coding: average interpolating image coding. ISSPA (2001)