Xiangjun Shen

According to our database, Xiangjun Shen authored at least 76 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Self-expressive induced clustered attention for video-text retrieval.

Jingxuan Zhu, Xiangjun Shen, Sumet Mehta, Timothy Apasiba Abeo, Yongzhao Zhan

Multim. Syst., December, 2024

Temporal dual-target cross-domain recommendation framework for next basket recommendation.

John Kinglsey Arthur, Conghua Zhou, Xiang-Jun Shen, Ronky Wrancis Amber-Doh, Jeremiah Osei-Kwakye, Eric Appiah Mantey

Discov. Comput., December, 2024

Extraordinarily Time- and Memory-Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain: From Shallow to Deep.

Xiang-Jun Shen, Zhaorui Xu, Liangjun Wang, Zechao Li, Guangcan Liu, Jianping Fan, Zhengjun Zha

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Image edge preservation via low-rank residuals for robust subspace learning.

Stanley Ebhohimhen Abhadiomhen, Xiang-Jun Shen, Heping Song, Sirui Tian

Multim. Tools Appl., May, 2024

Parameterized $L_{0}$ Image Smoothing With Unsupervised Learning.

Yang Yang, Ling Tang, Tao Yan, Lanling Zeng, Xiangjun Shen, Yongzhao Zhan

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

2023

Multi-view Representation Induced Kernel Ensemble Support Vector Machine.

Ebenezer Quayson, Ernest Domanaanmwi Ganaa, Qian Zhu, Xiang-Jun Shen

Neural Process. Lett., December, 2023

Geometrically Preserved Dual Projections Learning for Multi-label Classification.

Zhi-Feng Liu, Rui-hang Cai, Timothy Apasiba Abeo, Cong-hua Zhou, Xiang-Jun Shen

Neural Process. Lett., December, 2023

Robust Label and Feature Space Co-Learning for Multi-Label Classification.

Zhifeng Liu, Chuanjing Tang, Stanley Ebhohimhen Abhadiomhen, Xiang-Jun Shen, Yangyang Li

IEEE Trans. Knowl. Data Eng., November, 2023

Robust multiview spectral clustering via cooperative manifold and low rank representation induced.

Zhiyong Xu, Sirui Tian, Stanley Ebhohimhen Abhadiomhen, Xiang-Jun Shen

Multim. Tools Appl., July, 2023

Dual projection learning with adaptive graph smoothing for multi-label classification.

Zhifeng Liu, Rui-hang Cai, Timothy Apasiba Abeo, Qian Zhu, Cong-hua Zhou, Xiang-Jun Shen

Appl. Intell., June, 2023

Edge-Preserved Low-Rank Representation via Multi-Level Knowledge Incorporation for Remote Sensing Image Denoising.

Xiaolin Feng, Sirui Tian, Stanley Ebhohimhen Abhadiomhen, Zhiyong Xu, Xiangjun Shen, Jing Wang, Xinming Zhang, Wenyun Gao, Hong Zhang, Chao Wang

Remote. Sens., May, 2023

Kernel ensemble support vector machine with integrated loss in shared parameters space.

YuRen Wu, Xiang-Jun Shen, Stanley Ebhohimhen Abhadiomhen, Yang Yang, Ji-Nan Gu

Multim. Tools Appl., May, 2023

A correlation analysis framework via joint sample and feature selection.

Na Qiang, Xiangjun Shen, Ernest Domanaanmwi Ganaa, Yang Yang, Shengli Wu, Zengmin Zhao, Shu-Cheng Huang

Multim. Tools Appl., May, 2023

$L_{1}$-Regularized Reconstruction Model for Edge-Preserving Filtering.

Yang Yang, Hao Zheng, Lanling Zeng, Xiangjun Shen, Yongzhao Zhan

IEEE Trans. Multim., 2023

Deep Robust Low Rank Correlation With Unifying Clustering Structure for Cross Domain Adaptation.

Xiang-Jun Shen, Yanan Cai, Stanley Ebhohimhen Abhadiomhen, Zhifeng Liu, Yongzhao Zhan, Jianping Fan

IEEE Trans. Multim., 2023

Robust Dimensionality Reduction via Low-rank Laplacian Graph Learning.

Mingjian Cai, Xiangjun Shen, Stanley Ebhohimhen Abhadiomhen, Yingfeng Cai, Sirui Tian

ACM Trans. Intell. Syst. Technol., 2023

Edge Preserved Low-Rank SAR Image Despeckling via Hierarchical Prior Knowledge Regulation.

Zhiyong Xu, Xiaolin Feng, Sirui Tian, Xiang-Jun Shen, Hong Zhang, Chao Wang

IEEE Trans. Geosci. Remote. Sens., 2023

Multi-dictionary induced low-rank representation with multi-manifold regularization.

Jinghui Zhou, Xiangjun Shen, Sixing Liu, Liangjun Wang, Qian Zhu, Ping Qian

Appl. Intell., 2023

Robust kernel ensemble regression in diversified kernel space with shared parameters.

Zhi-Feng Liu, Liu Chen, Sumet Mehta, Xiang-Jun Shen, Yu-bao Cui

Appl. Intell., 2023

Edge Structure Learning via Low Rank Residuals for Robust Image Classification.

Xiangjun Shen, Stanley Ebhohimhen Abhadiomhen, Yang Yang, Zhifeng Liu, Sirui Tian

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

MoRE: Multi-output residual embedding for multi-label classification.

Siyu Liu, Xuehua Song, Zhongchen Ma, Ernest Domanaanmwi Ganaa, Xiangjun Shen

Pattern Recognit., 2022

Structure injected weight normalization for training deep networks.

Xu Yuan, Xiangjun Shen, Sumet Mehta, Teng Li, Shiming Ge, Zhengjun Zha

Multim. Syst., 2022

Robust low-rank representation via residual projection for image classification.

Kaifa Hui, Xiang-Jun Shen, Stanley Ebhohimhen Abhadiomhen, Yongzhao Zhan

Knowl. Based Syst., 2022

Diversified feature representation via deep auto-encoder ensemble through multiple activation functions.

Na Qiang, Xiang-Jun Shen, Chang-Bin Huang, Shengli Wu, Timothy Apasiba Abeo, Ernest Domanaanmwi Ganaa, Shu-Cheng Huang

Appl. Intell., 2022

Coupled low rank representation and subspace clustering.

Stanley Ebhohimhen Abhadiomhen, Zhiyang Wang, Xiangjun Shen

Appl. Intell., 2022

Deep Weighted Guided Upsampling Network for Depth of Field Image Upsampling.

Lanling Zeng, Lianxiong Wu, Yang Yang, Xiangjun Shen, Yongzhao Zhan

Proceedings of the 4th ACM International Conference on Multimedia in Asia, 2022

Time and Memory Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain.

Xiang-Jun Shen, Zhaorui Xu, Liangjun Wang, Zechao Li

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Cross-Domain Object Representation via Robust Low-Rank Correlation Analysis.

Xiangjun Shen, Jinghui Zhou, Zhongchen Ma, Bing-Kun Bao, Zhengjun Zha

ACM Trans. Multim. Comput. Commun. Appl., 2021

MKEL: Multiple Kernel Ensemble Learning via Unified Ensemble Loss for Image Classification.

Xiangjun Shen, Kou Lu, Sumet Mehta, Jianming Zhang, Weifeng Liu, Jianping Fan, Zhengjun Zha

ACM Trans. Intell. Syst. Technol., 2021

Multiview Common Subspace Clustering via Coupled Low Rank Representation.

Stanley Ebhohimhen Abhadiomhen, Zhiyang Wang, Xiangjun Shen, Jianping Fan

ACM Trans. Intell. Syst. Technol., 2021

SLiKER: Sparse loss induced kernel ensemble regression.

Xiang-Jun Shen, Chenggong Ni, Liangjun Wang, Zheng-Jun Zha

Pattern Recognit., 2021

Robust deflated canonical correlation analysis via feature factoring for multi-view image classification.

Kaifa Hui, Ernest Domanaanmwi Ganaa, Yongzhao Zhan, Xiang-jun Shen

Multim. Tools Appl., 2021

Deflated manifold embedding PCA framework via multiple instance factorings.

Ernest Domanaanmwi Ganaa, Xiang-Jun Shen, Timothy Apasiba Abeo

Multim. Tools Appl., 2021

Multi-view intrinsic low-rank representation for robust face recognition and clustering.

Zhiyang Wang, Stanley Ebhohimhen Abhadiomhen, Zhifeng Liu, Xiang-jun Shen, Wenyun Gao, Shuying Li

IET Image Process., 2021

2020

A generalized least-squares approach regularized with graph embedding for dimensionality reduction.

Xiang-Jun Shen, Si-Xing Liu, Bing-Kun Bao, Chunhong Pan, Zheng-Jun Zha, Jianping Fan

Pattern Recognit., 2020

If-SVM: Iterative factoring support vector machine.

Yuqing Pan, Wenpeng Zhai, Wei Gao, Xiangjun Shen

Multim. Tools Appl., 2020

Semi-supervised manifold alignment with multi-graph embedding.

Chang-Bin Huang, Timothy Apasiba Abeo, XiaoZhen Luo, Xiang-Jun Shen, Jianping Gou, DeJiao Niu

Multim. Tools Appl., 2020

Robust low rank representation via feature and sample scaling.

Xiang-Jun Shen, Yuxuan Wang, Liangjun Wang, Sumet Mehta, Bing-Kun Bao, Jianping Fan

Neurocomputing, 2020

2019

Co-regularized kernel ensemble regression.

Dickson Keddy Wornyo, Xiang-jun Shen, Yong Dong, Liangjun Wang, Shu-Cheng Huang

World Wide Web, 2019

A generalized multi-dictionary least squares framework regularized with multi-graph embeddings.

Timothy Apasiba Abeo, Xiangjun Shen, Bing-Kun Bao, Zheng-Jun Zha, Jianping Fan

Pattern Recognit., 2019

Dynamically building diversified classifier pruning ensembles via canonical correlation analysis.

Zhong-Qiu Jiang, Xiangjun Shen, Jianping Gou, Liangjun Wang, Zheng-Jun Zha

Multim. Tools Appl., 2019

Laplacian Regularized Kernel Canonical Correlation Ensemble for Remote Sensing Image Classification.

Xiang-Jun Shen, XiaoZhen Luo, Timothy Apasiba Abeo, Yang Yang, Xi Shao, Shuying Li

IEEE Geosci. Remote. Sens. Lett., 2019

Locality constrained representation-based K-nearest neighbor classification.

Jianping Gou, Wenmo Qiu, Zhang Yi, Xiangjun Shen, Yongzhao Zhan, Weihua Ou

Knowl. Based Syst., 2019

Coupled Least Squares Support Vector Ensemble Machines.

Dickson Keddy Wornyo, Xiang-Jun Shen

Inf., 2019

Dictionary-induced least squares framework for multi-view dimensionality reduction with multi-manifold embeddings.

Timothy Apasiba Abeo, Xiangjun Shen, Jianping Gou, Qirong Mao, Bing-Kun Bao, Shuying Li

IET Comput. Vis., 2019

Manifold Alignment via Global and Local Structures Preserving PCA Framework.

Timothy Apasiba Abeo, Xiangjun Shen, Ernest Domanaanmwi Ganaa, Qian Zhu, Bing-Kun Bao, Zheng-Jun Zha

IEEE Access, 2019

Near-Duplicate Video Retrieval Through Toeplitz Kernel Partial Least Squares.

Jia-Li Tao, Jian-Ming Zhang, Liangjun Wang, Xiangjun Shen, Zheng-Jun Zha

Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Manifold Alignment with Multi-graph Embedding.

Changbin Huang, Timothy Apasiba Abeo, Xiangjun Shen

Proceedings of the MMAsia '19: ACM Multimedia Asia, Beijing, China, December 16-18, 2019, 2019

Bilinear Factorization via Recursive Sample Factoring for Low-Rank Hyperspectral Image Recovery.

Yuxuan Wang, Timothy Apasiba Abeo, Liangjun Wang, Dickson Keddy Wornyo, Xiang-Jun Shen

Proceedings of the Image and Graphics - 10th International Conference, 2019

Incomplete-Data Oriented Dimension Reduction via Instance Factoring PCA Framework.

Ernest Domanaanmwi Ganaa, Timothy Apasiba Abeo, Sumet Mehta, Heping Song, Xiang-Jun Shen

Proceedings of the Image and Graphics - 10th International Conference, 2019

2018

Spatially Coherent Feature Learning for Pose-Invariant Facial Expression Recognition.

Feifei Zhang, Qirong Mao, Xiangjun Shen, Yongzhao Zhan, Ming Dong

ACM Trans. Multim. Comput. Commun. Appl., 2018

CCLBR: Congestion Control-Based Load Balanced Routing in Unstructured P2P Systems.

Xiangjun Shen, Qing Chang, Lu Liu, John Panneerselvam, Zheng-Jun Zha

IEEE Syst. J., 2018

A New Nearest Centroid Neighbor Classifier Based on K Local Means Using Harmonic Mean Distance.

Sumet Mehta, Xiangjun Shen, Jianping Gou, Dejiao Niu

Inf., 2018

Least squares kernel ensemble regression in Reproducing Kernel Hilbert Space.

Xiangjun Shen, Yong Dong, Jianping Gou, Yongzhao Zhan, Jianping Fan

Neurocomputing, 2018

Sparsity and Geometry Preserving Graph Embedding for Dimensionality Reduction.

Jianping Gou, Zhang Yi, David Zhang, Yongzhao Zhan, Xiangjun Shen, Lan Du

IEEE Access, 2018

Simulating Bokeh Effect with Kinect.

Yang Yang, Huiwen Bian, Yanhong Peng, Xiangjun Shen, Heping Song

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Multi-graph Regularized Deep Auto-Encoders for Multi-view Image Representation.

Jiaying Fang, Yongzhao Zhan, Xiangjun Shen

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Building kernelized canonical correlation ensemble for dimensionality reduction.

XiaoZhen Luo, Xiang-jun Shen, Timothy Apasiba Abeo

Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018

2017

Least-Squares Regulation Based Graph Embedding.

Si-Xing Liu, Timothy Apasiba Abeo, Xiang-jun Shen

Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

A Multi-local Means Based Nearest Neighbor Classifier.

Jianping Gou, Wenmo Qiu, Qirong Mao, Yongzhao Zhan, Xiangjun Shen, Yunbo Rao

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Diversity-induced weighted classifier ensemble learning.

Y. Dong, Xiangjun Shen, Liangjun Wang, Dickson Keddy Wornyo, Zheng-Jun Zha

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Building Weighted Classifier Ensembles Through Classifiers Pruning.

Chenwei Cai, Dickson Keddy Wornyo, Liangjun Wang, Xiangjun Shen

Proceedings of the Internet Multimedia Computing and Service, 2017

2016

Large-scale support vector machine classification with redundant data reduction.

Xiangjun Shen, Lei Mu, Zhen Li, Haoxiang Wu, Jianping Gou, Xin Chen

Neurocomputing, 2016

Building Locally Discriminative Classifier Ensemble Through Classifier Fusion Among Nearest Neighbors.

Xiangjun Shen, Wen-Chao Zhang, Wei Cai, Ben-Bright B. Benuw, Heping Song, Qian Zhu, Zheng-Jun Zha

Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Collaborative Q-Learning Based Routing Control in Unstructured P2P Networks.

Xiangjun Shen, Qing Chang, Jianping Gou, Qirong Mao, Zheng-Jun Zha, Ke Lu

Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

2015

Interactive Plant Modeling Based on Freehand Sketches.

Lanling Zeng, Dongdong Ma, Dongsheng Yan, Xiangjun Shen, Yongzhao Zhan

Trans. Edutainment, 2015

Using Kinect for real-time emotion recognition via facial expressions.

Qirong Mao, Xinyu Pan, Yongzhao Zhan, Xiangjun Shen

Frontiers Inf. Technol. Electron. Eng., 2015

一种基于拥塞发现的强化学习P2P网络视频点播预取策略 (Video Prefetching Strategy Based on Congestion Finding with Reinforcement Learning in P2P VOD Networks).

Xiangjun Shen, Yin Yao, Zhengjun Zha

计算机科学, 2015

Two-Phase Representation Based Classification.

Jianping Gou, Yongzhao Zhan, Xiangjun Shen, Qirong Mao, Liangjun Wang

Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

2014

Improved pseudo nearest neighbor classification.

Jianping Gou, Yongzhao Zhan, Yunbo Rao, Xiangjun Shen, Xiaoming Wang, Wu He

Knowl. Based Syst., 2014

Achieving dynamic load balancing through mobile agents in small world P2P networks.

Xiangjun Shen, Lu Liu, Zheng-Jun Zha, PeiYing Gu, Zhong-Qiu Jiang, Jiming Chen, John Panneerselvam

Comput. Networks, 2014

2013

Distributed SVM Classification with Redundant Data Removing.

Xiangjun Shen, Zhen Li, Zhong-Qiu Jiang, Yongzhao Zhan

Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

2012

Topology Adaptation Based on Mobile Agent in Unstructured P2P Networks.

Xiangjun Shen, PeiYing Gu, Zheng-Jun Zha, Jiming Chen

Proceedings of the Advances in Multimedia Information Processing - PCM 2012, 2012

Training support vector machine through redundant data reduction.

Xiangjun Shen, Haoxiang Wu, Qian Zhu

Proceedings of the 4th International Conference on Internet Multimedia Computing and Service, 2012

2008

Mining user hidden semantics from image content for image retrieval.

Xiangjun Shen, Shiguang Ju, Siu-Yeung Cho, Feng Li

J. Vis. Commun. Image Represent., 2008

2007

A New Progressive Mesh with Adaptive Subdivision for LOD Models.

Xiaohu Ma, Jie Wu, Xiangjun Shen

Proceedings of the Entertainment Computing, 2007