Xiangjun Shen

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 35

Top Topics

Nearest Neighbor

Graph Embedding

Low Rank Representation

Top Venues

ACM Trans. Intell. Syst. Technol.

Multim. Tools Appl.

Publications

Yang Yang, Ling Tang, Tao Yan, Lanling Zeng, Xiangjun Shen, Yongzhao Zhan
Parameterized $L_{0}$ Image Smoothing With Unsupervised Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Xiaolin Feng, Sirui Tian, Stanley Ebhohimhen Abhadiomhen, Zhiyong Xu, Xiangjun Shen, Jing Wang, Xinming Zhang, Wenyun Gao, Hong Zhang, Chao Wang
Edge-Preserved Low-Rank Representation via Multi-Level Knowledge Incorporation for Remote Sensing Image Denoising. Remote. Sens. 15 (9) (2023)
Mingjian Cai, Xiangjun Shen, Stanley Ebhohimhen Abhadiomhen, Yingfeng Cai, Sirui Tian
Robust Dimensionality Reduction via Low-rank Laplacian Graph Learning. ACM Trans. Intell. Syst. Technol. 14 (3) (2023)
Jinghui Zhou, Xiangjun Shen, Sixing Liu, Liangjun Wang, Qian Zhu, Ping Qian
Multi-dictionary induced low-rank representation with multi-manifold regularization. Appl. Intell. 53 (3) (2023)
Xiangjun Shen, Stanley Ebhohimhen Abhadiomhen, Yang Yang, Zhifeng Liu, Sirui Tian
Edge Structure Learning via Low Rank Residuals for Robust Image Classification. AAAI (2023)
Na Qiang, Xiangjun Shen, Ernest Domanaanmwi Ganaa, Yang Yang, Shengli Wu, Zengmin Zhao, Shu-Cheng Huang
A correlation analysis framework via joint sample and feature selection. Multim. Tools Appl. 82 (13) (2023)
Yang Yang, Hao Zheng, Lanling Zeng, Xiangjun Shen, Yongzhao Zhan
$L_{1}$-Regularized Reconstruction Model for Edge-Preserving Filtering. IEEE Trans. Multim. 25 (2023)
Lanling Zeng, Lianxiong Wu, Yang Yang, Xiangjun Shen, Yongzhao Zhan
Deep Weighted Guided Upsampling Network for Depth of Field Image Upsampling. MMAsia (2022)
Xu Yuan, Xiangjun Shen, Sumet Mehta, Teng Li, Shiming Ge, Zhengjun Zha
Structure injected weight normalization for training deep networks. Multim. Syst. 28 (2) (2022)
Stanley Ebhohimhen Abhadiomhen, Zhiyang Wang, Xiangjun Shen
Coupled low rank representation and subspace clustering. Appl. Intell. 52 (1) (2022)
Siyu Liu, Xuehua Song, Zhongchen Ma, Ernest Domanaanmwi Ganaa, Xiangjun Shen
MoRE: Multi-output residual embedding for multi-label classification. Pattern Recognit. 126 (2022)
Xiangjun Shen, Jinghui Zhou, Zhongchen Ma, Bing-Kun Bao, Zhengjun Zha
Cross-Domain Object Representation via Robust Low-Rank Correlation Analysis. ACM Trans. Multim. Comput. Commun. Appl. 17 (4) (2021)
Xiangjun Shen, Kou Lu, Sumet Mehta, Jianming Zhang, Weifeng Liu, Jianping Fan, Zhengjun Zha
MKEL: Multiple Kernel Ensemble Learning via Unified Ensemble Loss for Image Classification. ACM Trans. Intell. Syst. Technol. 12 (4) (2021)
Stanley Ebhohimhen Abhadiomhen, Zhiyang Wang, Xiangjun Shen, Jianping Fan
Multiview Common Subspace Clustering via Coupled Low Rank Representation. ACM Trans. Intell. Syst. Technol. 12 (4) (2021)
Yuqing Pan, Wenpeng Zhai, Wei Gao, Xiangjun Shen
If-SVM: Iterative factoring support vector machine. Multim. Tools Appl. 79 (35-36) (2020)
Timothy Apasiba Abeo, Xiangjun Shen, Bing-Kun Bao, Zheng-Jun Zha, Jianping Fan
A generalized multi-dictionary least squares framework regularized with multi-graph embeddings. Pattern Recognit. 90 (2019)
Jianping Gou, Wenmo Qiu, Zhang Yi, Xiangjun Shen, Yongzhao Zhan, Weihua Ou
Locality constrained representation-based K-nearest neighbor classification. Knowl. Based Syst. 167 (2019)
Changbin Huang, Timothy Apasiba Abeo, Xiangjun Shen
Manifold Alignment with Multi-graph Embedding. MMAsia (2019)
Timothy Apasiba Abeo, Xiangjun Shen, Jianping Gou, Qirong Mao, Bing-Kun Bao, Shuying Li
Dictionary-induced least squares framework for multi-view dimensionality reduction with multi-manifold embeddings. IET Comput. Vis. 13 (2) (2019)
Jia-Li Tao, Jian-Ming Zhang, Liangjun Wang, Xiangjun Shen, Zheng-Jun Zha
Near-Duplicate Video Retrieval Through Toeplitz Kernel Partial Least Squares. MMM (2) (2019)
Zhong-Qiu Jiang, Xiangjun Shen, Jianping Gou, Liangjun Wang, Zheng-Jun Zha
Dynamically building diversified classifier pruning ensembles via canonical correlation analysis. Multim. Tools Appl. 78 (1) (2019)
Timothy Apasiba Abeo, Xiangjun Shen, Ernest Domanaanmwi Ganaa, Qian Zhu, Bing-Kun Bao, Zheng-Jun Zha
Manifold Alignment via Global and Local Structures Preserving PCA Framework. IEEE Access 7 (2019)
Feifei Zhang, Qirong Mao, Xiangjun Shen, Yongzhao Zhan, Ming Dong
Spatially Coherent Feature Learning for Pose-Invariant Facial Expression Recognition. ACM Trans. Multim. Comput. Commun. Appl. 14 (1s) (2018)
Jiaying Fang, Yongzhao Zhan, Xiangjun Shen
Multi-graph Regularized Deep Auto-Encoders for Multi-view Image Representation. PCM (1) (2018)
Yang Yang, Huiwen Bian, Yanhong Peng, Xiangjun Shen, Heping Song
Simulating Bokeh Effect with Kinect. PCM (1) (2018)
Xiangjun Shen, Yong Dong, Jianping Gou, Yongzhao Zhan, Jianping Fan
Least squares kernel ensemble regression in Reproducing Kernel Hilbert Space. Neurocomputing 311 (2018)
Xiangjun Shen, Qing Chang, Lu Liu, John Panneerselvam, Zheng-Jun Zha
CCLBR: Congestion Control-Based Load Balanced Routing in Unstructured P2P Systems. IEEE Syst. J. 12 (1) (2018)
Sumet Mehta, Xiangjun Shen, Jiangping Gou, Dejiao Niu
A New Nearest Centroid Neighbor Classifier Based on K Local Means Using Harmonic Mean Distance. Inf. 9 (9) (2018)
Jianping Gou, Zhang Yi, David Zhang, Yongzhao Zhan, Xiangjun Shen, Lan Du
Sparsity and Geometry Preserving Graph Embedding for Dimensionality Reduction. IEEE Access 6 (2018)
Y. Dong, Xiangjun Shen, Liangjun Wang, Dickson Keddy Wornyo, Zheng-Jun Zha
Diversity-induced weighted classifier ensemble learning. ICIP (2017)
Jianping Gou, Wenmo Qiu, Qirong Mao, Yongzhao Zhan, Xiangjun Shen, Yunbo Rao
A Multi-local Means Based Nearest Neighbor Classifier. ICTAI (2017)
Chenwei Cai, Dickson Keddy Wornyo, Liangjun Wang, Xiangjun Shen
Building Weighted Classifier Ensembles Through Classifiers Pruning. ICIMCS (2017)
Xiangjun Shen, Qing Chang, Jianping Gou, Qirong Mao, Zheng-Jun Zha, Ke Lu
Collaborative Q-Learning Based Routing Control in Unstructured P2P Networks. MMM (1) (2016)
Xiangjun Shen, Lei Mu, Zhen Li, Haoxiang Wu, Jianping Gou, Xin Chen
Large-scale support vector machine classification with redundant data reduction. Neurocomputing 172 (2016)
Xiangjun Shen, Wen-Chao Zhang, Wei Cai, Ben-Bright B. Benuw, Heping Song, Qian Zhu, Zheng-Jun Zha
Building Locally Discriminative Classifier Ensemble Through Classifier Fusion Among Nearest Neighbors. PCM (1) (2016)
Xiangjun Shen, Yin Yao, Zhengjun Zha
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). 计算机科学 42 (7) (2015)
Jianping Gou, Yongzhao Zhan, Xiangjun Shen, Qirong Mao, Liangjun Wang
Two-Phase Representation Based Classification. PCM (1) (2015)
Lanling Zeng, Dongdong Ma, Dongsheng Yan, Xiangjun Shen, Yongzhao Zhan
Interactive Plant Modeling Based on Freehand Sketches. Trans. Edutainment 11 (2015)
Qirong Mao, Xinyu Pan, Yongzhao Zhan, Xiangjun Shen
Using Kinect for real-time emotion recognition via facial expressions. Frontiers Inf. Technol. Electron. Eng. 16 (4) (2015)
Xiangjun Shen, Lu Liu, Zheng-Jun Zha, PeiYing Gu, Zhong-Qiu Jiang, Jiming Chen, John Panneerselvam
Achieving dynamic load balancing through mobile agents in small world P2P networks. Comput. Networks 75 (2014)
Jianping Gou, Yongzhao Zhan, Yunbo Rao, Xiangjun Shen, Xiaoming Wang, Wu He
Improved pseudo nearest neighbor classification. Knowl. Based Syst. 70 (2014)
Xiangjun Shen, Zhen Li, Zhong-Qiu Jiang, Yongzhao Zhan
Distributed SVM Classification with Redundant Data Removing. GreenCom/iThings/CPScom (2013)
Xiangjun Shen, Haoxiang Wu, Qian Zhu
Training support vector machine through redundant data reduction. ICIMCS (2012)
Xiangjun Shen, PeiYing Gu, Zheng-Jun Zha, Jiming Chen
Topology Adaptation Based on Mobile Agent in Unstructured P2P Networks. PCM (2012)
Xiangjun Shen, Shiguang Ju, Siu-Yeung Cho, Feng Li
Mining user hidden semantics from image content for image retrieval. J. Vis. Commun. Image Represent. 19 (3) (2008)
Xiaohu Ma, Jie Wu, Xiangjun Shen
A New Progressive Mesh with Adaptive Subdivision for LOD Models. ICEC (2007)