Xiang-Jun Shen

38 papers A* 1Journal 33Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Discriminative cross-domain convolutional learning model for next basket recommender systems.
Knowl. Based Syst.
John Kingsley Arthur, Conghua Zhou, Xiang-Jun Shen, Jeremiah Osei-Kwakye, Eric Appiah Mantey
2026 J jnl
SVE-Former: A fast fourier transformer via singular vector embedding.
Neural Networks
Xiang-Jun Shen, Wenxiu Tian, Yang Yang, Conghua Zhou, Heping Song, Ming Yang, Yong Li, Sirui Tian, Zhengjun Zha
2025 J jnl
An extremely fast deep spectral clustering method in Fourier domain for large-scale data.
Multim. Syst.
Kun Qu, Man Zhang, Yang Yang, Hao Xue, Xiang-Jun Shen
2025 J jnl
Cluster-infused low-rank subspace learning for robust multi-label classification.
Appl. Intell.
Ziyue Zhu, Conghua Zhou, Shijie Sun, Emmanuel Ntaye, Xiang-Jun Shen, Zhifeng Liu
2025 J jnl
DIMCAR: dynamic intent modeling and context-aware recommendations in sparse data environment towards next basket prediction.
Appl. Intell.
John Kingsley Arthur, Conghua Zhou, Xiang-Jun Shen, Ronky Wrancis Amber-Doh, Eric Appiah Mantey, Jeremiah Osei-Kwakye
2025 J jnl
Diversified deep hierarchical kernel ensemble regression.
Multim. Tools Appl.
Zhifeng Liu, Zhengqin Xu, Stanley Ebhohimhen Abhadiomhen, Xiaoqin Qian, Xiang-Jun Shen
2025 J jnl
Robust feature enhanced deep kernel support vector machine via low rank representation and clustering.
Expert Syst. Appl.
Hongtao Li, Lulu Jiang, Ernest Domanaanmwi Ganaa, Peiwang Li, Xiang-Jun Shen
2025 J jnl
Robust low-rank representation with structured similarity learning for multi-label classification.
Appl. Intell.
Emmanuel Ntaye, Conghua Zhou, Zhifeng Liu, Heping Song, Fadilul-lah Yassaanah Issahaku, Xiang-Jun Shen
2025 J jnl
Robust multi-label classification via data reconstruction by neighborhood samples augmentation.
Multim. Tools Appl.
Zhifeng Liu, Sitao Xi, Timothy Apasiba Abeo, Xiang-Jun Shen, Conghua Zhou, Heping Song, Peiwang Li
2024 J jnl
Extraordinarily Time- and Memory-Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain: From Shallow to Deep.
IEEE Trans. Neural Networks Learn. Syst.
Xiang-Jun Shen, Zhaorui Xu, Liangjun Wang, Zechao Li, Guangcan Liu, Jianping Fan, Zhengjun Zha
2024 J jnl
Image edge preservation via low-rank residuals for robust subspace learning.
Multim. Tools Appl.
Stanley Ebhohimhen Abhadiomhen, Xiang-Jun Shen, Heping Song, Sirui Tian
2024 J jnl
Temporal dual-target cross-domain recommendation framework for next basket recommendation.
Discov. Comput.
John Kinglsey Arthur, Conghua Zhou, Xiang-Jun Shen, Ronky Wrancis Amber-Doh, Jeremiah Osei-Kwakye, Eric Appiah Mantey
2023 J jnl
Deep Robust Low Rank Correlation With Unifying Clustering Structure for Cross Domain Adaptation.
IEEE Trans. Multim.
Xiang-Jun Shen, Yanan Cai, Stanley Ebhohimhen Abhadiomhen, Zhifeng Liu, Yongzhao Zhan, Jianping Fan
2023 J jnl
Dual projection learning with adaptive graph smoothing for multi-label classification.
Appl. Intell.
Zhifeng Liu, Rui-hang Cai, Timothy Apasiba Abeo, Qian Zhu, Cong-hua Zhou, Xiang-Jun Shen
2023 J jnl
Edge Preserved Low-Rank SAR Image Despeckling via Hierarchical Prior Knowledge Regulation.
IEEE Trans. Geosci. Remote. Sens.
Zhiyong Xu, Xiaolin Feng, Sirui Tian, Xiang-Jun Shen, Hong Zhang, Chao Wang
2023 J jnl
Geometrically Preserved Dual Projections Learning for Multi-label Classification.
Neural Process. Lett.
Zhi-Feng Liu, Rui-hang Cai, Timothy Apasiba Abeo, Cong-hua Zhou, Xiang-Jun Shen
2023 J jnl
Kernel ensemble support vector machine with integrated loss in shared parameters space.
Multim. Tools Appl.
Yuren Wu, Xiang-Jun Shen, Stanley Ebhohimhen Abhadiomhen, Yang Yang, Ji-Nan Gu
2023 J jnl
Multi-view Representation Induced Kernel Ensemble Support Vector Machine.
Neural Process. Lett.
Ebenezer Quayson, Ernest Domanaanmwi Ganaa, Qian Zhu, Xiang-Jun Shen
2023 J jnl
Robust Label and Feature Space Co-Learning for Multi-Label Classification.
IEEE Trans. Knowl. Data Eng.
Zhifeng Liu, Chuanjing Tang, Stanley Ebhohimhen Abhadiomhen, Xiang-Jun Shen, Yangyang Li
2023 J jnl
Robust kernel ensemble regression in diversified kernel space with shared parameters.
Appl. Intell.
Zhi-Feng Liu, Liu Chen, Sumet Mehta, Xiang-Jun Shen, Yu-bao Cui
2023 J jnl
Robust multiview spectral clustering via cooperative manifold and low rank representation induced.
Multim. Tools Appl.
Zhiyong Xu, Sirui Tian, Stanley Ebhohimhen Abhadiomhen, Xiang-Jun Shen
2022 J jnl
Diversified feature representation via deep auto-encoder ensemble through multiple activation functions.
Appl. Intell.
Na Qiang, Xiang-Jun Shen, Chang-Bin Huang, Shengli Wu, Timothy Apasiba Abeo, Ernest Domanaanmwi Ganaa, Shu-Cheng Huang
2022 J jnl
Robust low-rank representation via residual projection for image classification.
Knowl. Based Syst.
Kaifa Hui, Xiang-Jun Shen, Stanley Ebhohimhen Abhadiomhen, Yongzhao Zhan
2022 A* conf
Time and Memory Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain.
ACM Multimedia
Xiang-Jun Shen, Zhaorui Xu, Liangjun Wang, Zechao Li
2021 J jnl
Deflated manifold embedding PCA framework via multiple instance factorings.
Multim. Tools Appl.
Ernest Domanaanmwi Ganaa, Xiang-Jun Shen, Timothy Apasiba Abeo
2021 J jnl
Multi-view intrinsic low-rank representation for robust face recognition and clustering.
IET Image Process.
Zhiyang Wang, Stanley Ebhohimhen Abhadiomhen, Zhifeng Liu, Xiang-Jun Shen, Wenyun Gao, Shuying Li
2021 J jnl
Robust deflated canonical correlation analysis via feature factoring for multi-view image classification.
Multim. Tools Appl.
Kaifa Hui, Ernest Domanaanmwi Ganaa, Yongzhao Zhan, Xiang-Jun Shen
2021 J jnl
SLiKER: Sparse loss induced kernel ensemble regression.
Pattern Recognit.
Xiang-Jun Shen, Chenggong Ni, Liangjun Wang, Zheng-Jun Zha
2020 J jnl
A generalized least-squares approach regularized with graph embedding for dimensionality reduction.
Pattern Recognit.
Xiang-Jun Shen, Si-Xing Liu, Bing-Kun Bao, Chunhong Pan, Zheng-Jun Zha, Jianping Fan
2020 J jnl
Robust low rank representation via feature and sample scaling.
Neurocomputing
Xiang-Jun Shen, Yuxuan Wang, Liangjun Wang, Sumet Mehta, Bing-Kun Bao, Jianping Fan
2020 J jnl
Semi-supervised manifold alignment with multi-graph embedding.
Multim. Tools Appl.
Chang-Bin Huang, Timothy Apasiba Abeo, XiaoZhen Luo, Xiang-Jun Shen, Jianping Gou, Dejiao Niu
2019 — conf
Bilinear Factorization via Recursive Sample Factoring for Low-Rank Hyperspectral Image Recovery.
ICIG (3)
Yuxuan Wang, Timothy Apasiba Abeo, Liangjun Wang, Dickson Keddy Wornyo, Xiang-Jun Shen
2019 J jnl
Co-regularized kernel ensemble regression.
World Wide Web
Dickson Keddy Wornyo, Xiang-Jun Shen, Yong Dong, Liangjun Wang, Shu-Cheng Huang
2019 J jnl
Coupled Least Squares Support Vector Ensemble Machines.
Inf.
Dickson Keddy Wornyo, Xiang-Jun Shen
2019 — conf
Incomplete-Data Oriented Dimension Reduction via Instance Factoring PCA Framework.
ICIG (3)
Ernest Domanaanmwi Ganaa, Timothy Apasiba Abeo, Sumet Mehta, Heping Song, Xiang-Jun Shen
2019 J jnl
Laplacian Regularized Kernel Canonical Correlation Ensemble for Remote Sensing Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Xiang-Jun Shen, XiaoZhen Luo, Timothy Apasiba Abeo, Yang Yang, Xi Shao, Shuying Li
2018 — conf
Building kernelized canonical correlation ensemble for dimensionality reduction.
ICIMCS
XiaoZhen Luo, Xiang-Jun Shen, Timothy Apasiba Abeo
2017 — conf
Least-Squares Regulation Based Graph Embedding.
PCM (1)
Si-Xing Liu, Timothy Apasiba Abeo, Xiang-Jun Shen