Zhengming Ma - RankMe

62 papers Journal 55Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	RKHS reconstruction based on manifold learning for high-dimensional data. Appl. Intell. Guo Niu, Nannan Zhu, Zhengming Ma, Xin Wang, Xi Liu, Yan Zhou, Yuexia Zhou
2023	J	`jnl`	Dimensionality reduction of SPD data based on Riemannian manifold tangent spaces and local affinity. Appl. Intell. Wenxu Gao, Zhengming Ma, Chenkui Xiong, Ting Gao
2023	J	`jnl`	Discriminative subspace learning via optimization on Riemannian manifold. Pattern Recognit. Wanguang Yin, Zhengming Ma, Quanying Liu
2023	J	`jnl`	RKHS subspace domain adaption via minimum distribution gap. Pattern Anal. Appl. Yanzhen Qiu, Chuangfeng Zhang, Chenkui Xiong, Zhengming Ma, Shaolin Liao
2022	J	`jnl`	Dictionary Learning of Symmetric Positive Definite Data Based on Riemannian Manifold Tangent Spaces and Local Homeomorphism. IEEE Access Hui He, Shuyu Liu, Zhengming Ma, Weijia Feng
2022	J	`jnl`	Dimensionality Reduction Based on Multilocal Linear Pattern Preservation. IEEE Trans. Knowl. Data Eng. Shujie Zhang, Zhengming Ma, Guokai Zhang, Weichao Gan
2022	J	`jnl`	Dimensionality reduction algorithm of tensor data based on orthogonal tucker decomposition and local discrimination difference. Appl. Intell. Wenxu Gao, Zhengming Ma, Xuejing Yuan
2022	J	`jnl`	Dimensionality reduction of tensors based on manifold-regularized tucker decomposition and its iterative solution. Int. J. Mach. Learn. Cybern. Haidong Huang, Zhengming Ma, Guokai Zhang
2022	J	`jnl`	Domain Adaption Based on MSE Criterion and Progressive RKHS Subspace Learning (MSEpRKHS_DA). IEEE Access Yanzhen Qiu, Shuyu Liu, Zhengming Ma, Hui He
2022	J	`jnl`	HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction. Neurocomputing Wanguang Yin, Youzhi Qu, Zhengming Ma, Quanying Liu
2022	J	`jnl`	Regularized RKHS-Based Subspace Learning for Motor Imagery Classification. Entropy Linzhi Jiang, Shuyu Liu, Zhengming Ma, Wenjie Lei, Cheng Chen
2022	J	`jnl`	Tensor local linear embedding with global subspace projection optimisation. IET Comput. Vis. Guo Niu, Zhengming Ma
2021	J	`jnl`	Dimensionality Reduction Based on kCCC and Manifold Learning. J. Math. Imaging Vis. Gengshi Huang, Zhengming Ma, Tianshi Luo
2021	J	`jnl`	Dimensionality Reduction for Tensor Data Based on Local Decision Margin Maximization. IEEE Trans. Image Process. Shujie Zhang, Zhengming Ma, Weichao Gan
2021	J	`jnl`	Dimensionality Reduction of SPD Data Based on Riemannian Manifold Tangent Spaces and Isometry. Entropy Wenxu Gao, Zhengming Ma, Weichao Gan, Shuyu Liu
2021	J	`jnl`	Dimensionality reduction based on multi-local linear regression and global subspace projection distance minimum. Pattern Anal. Appl. Haidong Huang, Zhengming Ma, Guokai Zhang, Huibin Wu
2021	J	`jnl`	Dimensionality reduction for tensor data based on projection distance minimization and hilbert-schmidt independence criterion maximization. J. Intell. Fuzzy Syst. Weichao Gan, Zhengming Ma, Shuyu Liu
2021	J	`jnl`	Dimensionality reduction of tensor data based on local linear embedding and mode product. J. Intell. Fuzzy Syst. Ting Gao, Zhengming Ma, Wenxu Gao, Shuyu Liu
2021	J	`jnl`	Domain Adaption Based on Symmetric Matrices Space Bi-Subspace Learning and Source Linear Discriminant Analysis Regularization. IEEE Access Qian Li, Zhengming Ma, Shuyu Liu, Yanli Pei
2021	J	`jnl`	Domain Adaptive Learning Based on Sample-Dependent and Learnable Kernels. CoRR Xinlong Lu, Zhengming Ma, Yuanping Lin
2021	J	`jnl`	Domain adaption based on source dictionary regularized RKHS subspace learning. Pattern Anal. Appl. Wenjie Lei, Zhengming Ma, Yuanping Lin, Wenxu Gao
2021	J	`jnl`	EEG Mental Recognition Based on RKHS Learning and Source Dictionary Regularized RKHS Subspace Learning. IEEE Access Wenjie Lei, Zhengming Ma, Shuyu Liu, Yuanping Lin
2021	J	`jnl`	HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction. CoRR Wanguang Yin, Zhengming Ma, Quanying Liu
2021	J	`jnl`	Local quasi-linear embedding based on kronecker product expansion of vectors. J. Intell. Fuzzy Syst. Guo Niu, Zhengming Ma
2021	J	`jnl`	Manifold Learning Based on Straight-Like Geodesics and Local Coordinates. IEEE Trans. Neural Networks Learn. Syst. Zhengming Ma, Zengrong Zhan, Zijian Feng, Jiajing Guo
2021	J	`jnl`	Polynomial approximation to manifold learning. J. Intell. Fuzzy Syst. Guo Niu, Zhengming Ma, Haoqing Chen, Xue Su
2021	J	`jnl`	Riemannian-based Discriminant Analysis for Feature Extraction and Classification. CoRR Wanguang Yin, Zhengming Ma, Quanying Liu
2021	—	`conf`	SPD Data Dimensionality Reduction based on SPD Manifold Tangent Space and Local LDA. ICACS Xuejing Yuan, Xiao Huang, Zhengming Ma
2021	J	`jnl`	Tensor dimensionality reduction via mode product and HSIC. IET Image Process. Guo Niu, Zhengming Ma
2021	J	`jnl`	The framework of learnable kernel function and its application to dictionary learning of SPD data. Pattern Anal. Appl. Weijia Feng, Zhengming Ma, Rixin Zhuang, Hangjian Che
2020	J	`jnl`	A Double-Density Clustering Method Based on "Nearest to First in" Strategy. Symmetry Yaohui Liu, Dong Liu, Fang Yu, Zhengming Ma
2020	J	`jnl`	Dimensionality Reduction of Tensors Based on Local Homeomorphism and Global Subspace Projection Distance Minimum. IEEE Access Guokai Zhang, Zhengming Ma, Haidong Huang
2020	J	`jnl`	Dimensionality reduction of tensor based on subspace learning and local homeomorphism. J. Intell. Fuzzy Syst. Guokai Zhang, Zhengming Ma, Haidong Huang
2020	J	`jnl`	High order discriminant analysis based on Riemannian optimization. Knowl. Based Syst. Wanguang Yin, Zhengming Ma
2020	J	`jnl`	Kernel-Based Subspace Learning on Riemannian Manifolds for Visual Recognition. Neural Process. Lett. Xi Liu, Zhengming Ma
2020	J	`jnl`	Local tangent space alignment based on Hilbert-Schmidt independence criterion regularization. Pattern Anal. Appl. Xinghua Zheng, Zhengming Ma, Lei Li
2020	J	`jnl`	Maximum Discriminant Difference Criterion for Dimensionality Reduction of Tensor Data. IEEE Access Xinya Peng, Zhengming Ma, Haowei Xu
2020	J	`jnl`	SPD Data Dictionary Learning Based on Kernel Learning and Riemannian Metric. IEEE Access Rixin Zhuang, Zhengming Ma, Weijia Feng, Yuanping Lin
2019	—	`conf`	A Lightweight Channel-spatial Attention Network for Real-time Image De-raining. DMIP Yirui Zeng, Zhengming Ma
2019	J	`jnl`	Biomedical Data Analysis Based on Multi-view Intact Space Learning with Geodesic Similarity Preserving. Neural Process. Lett. Zengrong Zhan, Zhengming Ma, Wei Peng
2019	J	`jnl`	HSIC Regularized LTSA. Comput. Informatics Xinghua Zheng, Zhengming Ma, Hangjian Che, Lei Li
2019	J	`jnl`	HSIC regularized manifold learning. J. Intell. Fuzzy Syst. Xinghua Zheng, Zhengming Ma, Hanjian Che, Lei Li
2019	J	`jnl`	LE & LLE Regularized Nonnegative Tucker Decomposition for clustering of high dimensional datasets. Neurocomputing Wanguang Yin, Zhengming Ma
2018	J	`jnl`	Discriminant Analysis with Local Gaussian Similarity Preserving for Feature Extraction. Neural Process. Lett. Xi Liu, Zhengming Ma
2018	J	`jnl`	Nonlinear Dimensionality Reduction Based on HSIC Maximization. IEEE Access Zhengming Ma, Zengrong Zhan, Xiaoyuan Ouyang, Xue Su
2018	J	`jnl`	On the Equivalence of HLLE and LTSA. IEEE Trans. Cybern. Sumin Zhang, Zhengming Ma, Hengliang Tan
2018	J	`jnl`	Regularized constraint subspace based method for image set classification. Pattern Recognit. Hengliang Tan, Ying Gao, Zhengming Ma
2017	J	`jnl`	Adaptive density peak clustering based on K-nearest neighbors with aggregating strategy. Knowl. Based Syst. Yaohui Liu, Zhengming Ma, Yu Fang
2017	—	`conf`	Document Analysis Based on Multi-view Intact Space Learning with Manifold Regularization. IScIDE Zengrong Zhan, Zhengming Ma
2017	J	`jnl`	Ensemble Multiple-Kernel Based Manifold Regularization. Neural Process. Lett. Guo Niu, Zhengming Ma, Shaogao Lv
2017	J	`jnl`	Local non-linear alignment for non-linear dimensionality reduction. IET Comput. Vis. Guo Niu, Zhengming Ma
2015	J	`jnl`	Grassmann manifold for nearest points image set classification. Pattern Recognit. Lett. Hengliang Tan, Zhengming Ma, Sumin Zhang, Zengrong Zhan, Beibei Zhang, Chenggong Zhang
2014	—	`conf`	A Manifold Learning Fusion Algorithm Based on Distance and Angle Preservation. CCPR (1) Yanchun Gu, Defeng Zhang, Zhengming Ma, Guo Niu
2014	J	`jnl`	Face recognition based on the fusion of global and local HOG features of face images. IET Comput. Vis. Hengliang Tan, Bing Yang, Zhengming Ma
2014	J	`jnl`	The Huffman-like Alignment in Manifold Learning. Int. J. Pattern Recognit. Artif. Intell. Zhengming Ma, Jing Chen
2013	J	`jnl`	Local Coordinates Alignment With Global Preservation for Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. Jing Chen, Zhengming Ma, Yang Liu
2012	—	`conf`	An improved HLLE algorithm based on the midpoint-nearest neighborhood selection. ICAL Sumin Zhang, Qiuli Kong, Shuaibin Lian, Zhengming Ma
2011	J	`jnl`	Constraints on the Neighborhood Size in LLE. IEICE Trans. Inf. Syst. Zhengming Ma, Jing Chen, Shuaibin Lian
2011	J	`jnl`	Locally Linear Embedding: a Review. Int. J. Pattern Recognit. Artif. Intell. Jing Chen, Zhengming Ma
2009	J	`jnl`	Direct kernel neighborhood discriminant analysis for face recognition. Pattern Recognit. Lett. Haifeng Hu, Ping Zhang, Zhengming Ma
2007	—	`conf`	Embedded Morphological Dilation and Variable Run Length Wavelet Coding. MUE Yinghong Zhou, Zhengming Ma
2001	—	`conf`	Lifting scheme and image coding: average interpolating image coding. ISSPA Jianfen Zeng, Zhengming Ma