Xiang-Jun Shen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Dimensionality Reduction

Regularized Kernel

Graph Embedding

Top Venues

Multim. Tools Appl.

Pattern Recognit.

Publications

Stanley Ebhohimhen Abhadiomhen, Xiang-Jun Shen, Heping Song, Sirui Tian
Image edge preservation via low-rank residuals for robust subspace learning. Multim. Tools Appl. 83 (18) (2024)
Ebenezer Quayson, Ernest Domanaanmwi Ganaa, Qian Zhu, Xiang-Jun Shen
Multi-view Representation Induced Kernel Ensemble Support Vector Machine. Neural Process. Lett. 55 (6) (2023)
Zhi-Feng Liu, Rui-hang Cai, Timothy Apasiba Abeo, Cong-hua Zhou, Xiang-Jun Shen
Geometrically Preserved Dual Projections Learning for Multi-label Classification. Neural Process. Lett. 55 (6) (2023)
Zhi-Feng Liu, Liu Chen, Sumet Mehta, Xiang-Jun Shen, Yu-bao Cui
Robust kernel ensemble regression in diversified kernel space with shared parameters. Appl. Intell. 53 (1) (2023)
Xiang-Jun Shen, Yanan Cai, Stanley Ebhohimhen Abhadiomhen, Zhifeng Liu, Yongzhao Zhan, Jianping Fan
Deep Robust Low Rank Correlation With Unifying Clustering Structure for Cross Domain Adaptation. IEEE Trans. Multim. 25 (2023)
YuRen Wu, Xiang-Jun Shen, Stanley Ebhohimhen Abhadiomhen, Yang Yang, Ji-Nan Gu
Kernel ensemble support vector machine with integrated loss in shared parameters space. Multim. Tools Appl. 82 (12) (2023)
Zhiyong Xu, Sirui Tian, Stanley Ebhohimhen Abhadiomhen, Xiang-Jun Shen
Robust multiview spectral clustering via cooperative manifold and low rank representation induced. Multim. Tools Appl. 82 (16) (2023)
Zhiyong Xu, Xiaolin Feng, Sirui Tian, Xiang-Jun Shen, Hong Zhang, Chao Wang
Edge Preserved Low-Rank SAR Image Despeckling via Hierarchical Prior Knowledge Regulation. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Zhi-feng Liu, Rui-hang Cai, Timothy Apasiba Abeo, Qian Zhu, Cong-hua Zhou, Xiang-Jun Shen
Dual projection learning with adaptive graph smoothing for multi-label classification. Appl. Intell. 53 (11) (2023)
Zhifeng Liu, Chuanjing Tang, Stanley Ebhohimhen Abhadiomhen, Xiang-Jun Shen, Yangyang Li
Robust Label and Feature Space Co-Learning for Multi-Label Classification. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Na Qiang, Xiang-Jun Shen, Chang-Bin Huang, Shengli Wu, Timothy Apasiba Abeo, Ernest Domanaanmwi Ganaa, Shu-Cheng Huang
Diversified feature representation via deep auto-encoder ensemble through multiple activation functions. Appl. Intell. 52 (9) (2022)
Kaifa Hui, Xiang-Jun Shen, Stanley Ebhohimhen Abhadiomhen, Yong-Zhao Zhan
Robust low-rank representation via residual projection for image classification. Knowl. Based Syst. 241 (2022)
Xiang-Jun Shen, Zhaorui Xu, Liangjun Wang, Zechao Li
Time and Memory Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain. ACM Multimedia (2022)
Xiang-Jun Shen, Chenggong Ni, Liangjun Wang, Zheng-Jun Zha
SLiKER: Sparse loss induced kernel ensemble regression. Pattern Recognit. 109 (2021)
Ernest Domanaanmwi Ganaa, Xiang-Jun Shen, Timothy Apasiba Abeo
Deflated manifold embedding PCA framework via multiple instance factorings. Multim. Tools Appl. 80 (3) (2021)
Xiang-Jun Shen, Yuxuan Wang, Liangjun Wang, Sumet Mehta, Bing-Kun Bao, Jianping Fan
Robust low rank representation via feature and sample scaling. Neurocomputing 409 (2020)
Changbin Huang, Timothy Apasiba Abeo, XiaoZhen Luo, Xiang-Jun Shen, Jianping Gou, DeJiao Niu
Semi-supervised manifold alignment with multi-graph embedding. Multim. Tools Appl. 79 (27-28) (2020)
Xiang-Jun Shen, Si-Xing Liu, Bing-Kun Bao, Chunhong Pan, Zheng-Jun Zha, Jianping Fan
A generalized least-squares approach regularized with graph embedding for dimensionality reduction. Pattern Recognit. 98 (2020)
Ernest Domanaanmwi Ganaa, Timothy Apasiba Abeo, Sumet Mehta, Heping Song, Xiang-Jun Shen
Incomplete-Data Oriented Dimension Reduction via Instance Factoring PCA Framework. ICIG (3) (2019)
Dickson Keddy Wornyo, Xiang-Jun Shen
Coupled Least Squares Support Vector Ensemble Machines. Inf. 10 (6) (2019)
Yuxuan Wang, Timothy Apasiba Abeo, Liangjun Wang, Dickson Keddy Wornyo, Xiang-Jun Shen
Bilinear Factorization via Recursive Sample Factoring for Low-Rank Hyperspectral Image Recovery. ICIG (3) (2019)
Xiang-Jun Shen, XiaoZhen Luo, Timothy Apasiba Abeo, Yang Yang, Xi Shao, Shuying Li
Laplacian Regularized Kernel Canonical Correlation Ensemble for Remote Sensing Image Classification. IEEE Geosci. Remote. Sens. Lett. 16 (7) (2019)