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Xiang-jun Shen – Xiang-Jun Shen
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Journal Articles
- 2025
[j58]Hongtao Li, Lulu Jiang
, Ernest Domanaanmwi Ganaa, Peiwang Li, Xiang-Jun Shen:
Robust feature enhanced deep kernel support vector machine via low rank representation and clustering. Expert Syst. Appl. 271: 126612 (2025)- [j57]Enock Adjei Agyekum, Yu-guo Wang, Eliasu Issaka, Yong-zhen Ren, Gongxun Tan, Xiangjun Shen, Xiaoqin Qian:
Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks. BMC Medical Informatics Decis. Mak. 25(1): 161 (2025) - [j56]Zhifeng Liu, Zhengqin Xu, Stanley Ebhohimhen Abhadiomhen, Xiaoqin Qian, Xiang-Jun Shen:
Diversified deep hierarchical kernel ensemble regression. Multim. Tools Appl. 84(15): 15553-15573 (2025) - 2024
- [j55]John Kinglsey Arthur, Conghua Zhou, Xiang-Jun Shen, Ronky Wrancis Amber-Doh, Jeremiah Osei-Kwakye, Eric Appiah Mantey:
Temporal dual-target cross-domain recommendation framework for next basket recommendation. Discov. Comput. 27(1): 50 (2024) - [j54]Jingxuan Zhu, Xiangjun Shen, Sumet Mehta, Timothy Apasiba Abeo, Yongzhao Zhan:
Self-expressive induced clustered attention for video-text retrieval. Multim. Syst. 30(6): 368 (2024) - [j53]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): 53715-53741 (2024) - [j52]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): 1938-1951 (2024) - [j51]Xiang-Jun Shen, Zhaorui Xu, Liangjun Wang, Zechao Li, Guangcan Liu, Jianping Fan, Zhengjun Zha:
Extraordinarily Time- and Memory-Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain: From Shallow to Deep. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14989-15003 (2024) - 2023
- [j50]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): 1051-1067 (2023) - [j49]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): 3576-3593 (2023) - [j48]Zhifeng 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): 14058-14071 (2023) - [j47]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): 18077-18096 (2023) - [j46]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): 19539-19555 (2023) - [j45]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): 24445-24464 (2023) - [j44]Ebenezer Quayson, Ernest Domanaanmwi Ganaa, Qian Zhu, Xiang-Jun Shen:
Multi-view Representation Induced Kernel Ensemble Support Vector Machine. Neural Process. Lett. 55(6): 7035-7056 (2023) - [j43]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): 7369-7392 (2023) - [j42]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): 2318 (2023) - [j41]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: 1-17 (2023) - [j40]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): 47:1-47:24 (2023) - [j39]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): 11846-11859 (2023) - [j38]Yang Yang, Hao Zheng, Lanling Zeng, Xiangjun Shen, Yongzhao Zhan:
$L_{1}$-Regularized Reconstruction Model for Edge-Preserving Filtering. IEEE Trans. Multim. 25: 4148-4162 (2023) - [j37]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: 8334-8345 (2023) - 2022
- [j36]Stanley Ebhohimhen Abhadiomhen, Zhiyang Wang, Xiangjun Shen:
Coupled low rank representation and subspace clustering. Appl. Intell. 52(1): 530-546 (2022) - [j35]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): 10591-10603 (2022) - [j34]Kaifa Hui, Xiang-Jun Shen, Stanley Ebhohimhen Abhadiomhen, Yongzhao Zhan:
Robust low-rank representation via residual projection for image classification. Knowl. Based Syst. 241: 108230 (2022) - [j33]Xu Yuan, Xiangjun Shen, Sumet Mehta, Teng Li, Shiming Ge, Zhengjun Zha:
Structure injected weight normalization for training deep networks. Multim. Syst. 28(2): 433-444 (2022) - [j32]Siyu Liu, Xuehua Song, Zhongchen Ma, Ernest Domanaanmwi Ganaa, Xiangjun Shen:
MoRE: Multi-output residual embedding for multi-label classification. Pattern Recognit. 126: 108584 (2022) - 2021
- [j31]Zhiyang Wang, Stanley Ebhohimhen Abhadiomhen, Zhifeng Liu, Xiang-jun Shen, Wenyun Gao, Shuying Li:
Multi-view intrinsic low-rank representation for robust face recognition and clustering. IET Image Process. 15(14): 3573-3584 (2021) - [j30]Ernest Domanaanmwi Ganaa, Xiang-Jun Shen, Timothy Apasiba Abeo:
Deflated manifold embedding PCA framework via multiple instance factorings. Multim. Tools Appl. 80(3): 3809-3833 (2021) - [j29]Kaifa Hui, Ernest Domanaanmwi Ganaa, Yongzhao Zhan, Xiang-jun Shen:
Robust deflated canonical correlation analysis via feature factoring for multi-view image classification. Multim. Tools Appl. 80(16): 24843-24865 (2021) - [j28]Xiang-Jun Shen, Chenggong Ni, Liangjun Wang, Zheng-Jun Zha:
SLiKER: Sparse loss induced kernel ensemble regression. Pattern Recognit. 109: 107587 (2021) - [j27]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): 40:1-40:21 (2021) - [j26]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): 44:1-44:25 (2021) - [j25]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): 126:1-126:20 (2021) - 2020
- [j24]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: 431-442 (2020) - [j23]Chang-Bin 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): 20241-20262 (2020) - [j22]Yuqing Pan, Wenpeng Zhai, Wei Gao, Xiangjun Shen:
If-SVM: Iterative factoring support vector machine. Multim. Tools Appl. 79(35-36): 25441-25461 (2020) - [j21]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) - 2019
- [j20]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: 38123-38134 (2019) - [j19]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): 97-108 (2019) - [j18]Dickson Keddy Wornyo, Xiang-Jun Shen:
Coupled Least Squares Support Vector Ensemble Machines. Inf. 10(6): 195 (2019) - [j17]Jianping Gou, Wenmo Qiu, Zhang Yi, Xiangjun Shen, Yongzhao Zhan, Weihua Ou:
Locality constrained representation-based K-nearest neighbor classification. Knowl. Based Syst. 167: 38-52 (2019) - [j16]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): 1150-1154 (2019) - [j15]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): 271-288 (2019) - [j14]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: 1-11 (2019) - [j13]Dickson Keddy Wornyo, Xiang-jun Shen, Yong Dong, Liangjun Wang, Shu-Cheng Huang:
Co-regularized kernel ensemble regression. World Wide Web 22(2): 717-734 (2019) - 2018
- [j12]Jianping Gou, Zhang Yi, David Zhang, Yongzhao Zhan, Xiangjun Shen, Lan Du:
Sparsity and Geometry Preserving Graph Embedding for Dimensionality Reduction. IEEE Access 6: 75748-75766 (2018) - [j11]Xiangjun Shen, Yong Dong, Jianping Gou, Yongzhao Zhan, Jianping Fan:
Least squares kernel ensemble regression in Reproducing Kernel Hilbert Space. Neurocomputing 311: 235-244 (2018) - [j10]Sumet Mehta, Xiangjun Shen, Jianping Gou, Dejiao Niu:
A New Nearest Centroid Neighbor Classifier Based on K Local Means Using Harmonic Mean Distance. Inf. 9(9): 234 (2018) - [j9]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): 802-813 (2018) - [j8]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): 27:1-27:19 (2018) - 2016
- [j7]Xiangjun Shen, Lei Mu, Zhen Li, Haoxiang Wu, Jianping Gou, Xin Chen:
Large-scale support vector machine classification with redundant data reduction. Neurocomputing 172: 189-197 (2016) - 2015
- [j6]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): 258-261 (2015) - [j5]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): 272-282 (2015) - [j4]Lanling Zeng, Dongdong Ma, Dongsheng Yan, Xiangjun Shen, Yongzhao Zhan:
Interactive Plant Modeling Based on Freehand Sketches. Trans. Edutainment 11: 114-126 (2015) - 2014
- [j3]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: 134-148 (2014) - [j2]Jianping Gou, Yongzhao Zhan, Yunbo Rao, Xiangjun Shen, Xiaoming Wang, Wu He:
Improved pseudo nearest neighbor classification. Knowl. Based Syst. 70: 361-375 (2014) - 2008
- [j1]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): 145-164 (2008)
Conference and Workshop Papers
- 2023
- [c21]Xiangjun Shen, Stanley Ebhohimhen Abhadiomhen, Yang Yang, Zhifeng Liu, Sirui Tian:
Edge Structure Learning via Low Rank Residuals for Robust Image Classification. AAAI 2023: 2236-2244 - 2022
- [c20]Xiang-Jun Shen, Zhaorui Xu, Liangjun Wang, Zechao Li:
Time and Memory Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain. ACM Multimedia 2022: 5710-5718 - [c19]Lanling Zeng, Lianxiong Wu, Yang Yang, Xiangjun Shen, Yongzhao Zhan:
Deep Weighted Guided Upsampling Network for Depth of Field Image Upsampling. MMAsia 2022: 18:1-18:7 - 2019
- [c18]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: 479-490 - [c17]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: 529-540 - [c16]Changbin Huang, Timothy Apasiba Abeo, Xiangjun Shen:
Manifold Alignment with Multi-graph Embedding. MMAsia 2019: 40:1-40:6 - [c15]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: 352-364 - 2018
- [c14]XiaoZhen Luo, Xiang-jun Shen, Timothy Apasiba Abeo:
Building kernelized canonical correlation ensemble for dimensionality reduction. ICIMCS 2018: 29:1-29:5 - [c13]Yang Yang, Huiwen Bian, Yanhong Peng, Xiangjun Shen, Heping Song:
Simulating Bokeh Effect with Kinect. PCM (1) 2018: 734-743 - [c12]Jiaying Fang, Yongzhao Zhan, Xiangjun Shen:
Multi-graph Regularized Deep Auto-Encoders for Multi-view Image Representation. PCM (1) 2018: 797-807 - 2017
- [c11]Chenwei Cai, Dickson Keddy Wornyo, Liangjun Wang, Xiangjun Shen:
Building Weighted Classifier Ensembles Through Classifiers Pruning. ICIMCS 2017: 131-139 - [c10]Y. Dong, Xiangjun Shen, Liangjun Wang, Dickson Keddy Wornyo, Zheng-Jun Zha:
Diversity-induced weighted classifier ensemble learning. ICIP 2017: 1232-1236 - [c9]Jianping Gou, Wenmo Qiu, Qirong Mao, Yongzhao Zhan, Xiangjun Shen, Yunbo Rao:
A Multi-local Means Based Nearest Neighbor Classifier. ICTAI 2017: 448-452 - [c8]Si-Xing Liu, Timothy Apasiba Abeo, Xiang-jun Shen:
Least-Squares Regulation Based Graph Embedding. PCM (1) 2017: 526-533 - 2016
- [c7]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: 910-921 - [c6]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: 211-220 - 2015
- [c5]Jianping Gou, Yongzhao Zhan, Xiangjun Shen, Qirong Mao, Liangjun Wang:
Two-Phase Representation Based Classification. PCM (1) 2015: 265-274 - 2013
- [c4]Xiangjun Shen, Zhen Li, Zhong-Qiu Jiang, Yongzhao Zhan:
Distributed SVM Classification with Redundant Data Removing. GreenCom/iThings/CPScom 2013: 866-870 - 2012
- [c3]Xiangjun Shen, Haoxiang Wu, Qian Zhu:
Training support vector machine through redundant data reduction. ICIMCS 2012: 25-28 - [c2]Xiangjun Shen, PeiYing Gu, Zheng-Jun Zha, Jiming Chen:
Topology Adaptation Based on Mobile Agent in Unstructured P2P Networks. PCM 2012: 841-849 - 2007
- [c1]Xiaohu Ma, Jie Wu, Xiangjun Shen:
A New Progressive Mesh with Adaptive Subdivision for LOD Models. ICEC 2007: 115-120
Coauthor Index
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