A New Progressive Mesh with Adaptive Subdivision for LOD Models. - Xiaohu Ma; Jie Wu; Xiangjun Shen (ICEC, 2007)

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)

Training support vector machine through redundant data reduction. - Xiangjun Shen; Haoxiang Wu; Qian Zhu 003 (ICIMCS, 2012)

Topology Adaptation Based on Mobile Agent in Unstructured P2P Networks. - Xiangjun Shen; PeiYing Gu; Zheng-Jun Zha; Jiming Chen (PCM, 2012)

Distributed SVM Classification with Redundant Data Removing. - Xiangjun Shen; Zhen Li; Zhong-Qiu Jiang; Yongzhao Zhan 001 (GreenCom/iThings/CPScom, 2013)

Achieving dynamic load balancing through mobile agents in small world P2P networks. - Xiangjun Shen; Lu Liu 001; Zheng-Jun Zha; PeiYing Gu; Zhong-Qiu Jiang; Jiming Chen; John Panneerselvam (Comput. Networks, 2014)

Improved pseudo nearest neighbor classification. - Jianping Gou; Yongzhao Zhan 001; Yunbo Rao; Xiangjun Shen; Xiaoming Wang; Wu He (Knowl. Based Syst., 2014)

Two-Phase Representation Based Classification. - Jianping Gou; Yongzhao Zhan 001; Xiangjun Shen; Qirong Mao; Liangjun Wang (PCM (1), 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)

Using Kinect for real-time emotion recognition via facial expressions. - Qirong Mao; Xinyu Pan; Yongzhao Zhan 001; Xiangjun Shen (Frontiers Inf. Technol. Electron. Eng., 2015)

Interactive Plant Modeling Based on Freehand Sketches. - Lanling Zeng; Dongdong Ma; Dongsheng Yan; Xiangjun Shen; Yongzhao Zhan 001 (Trans. Edutainment, 2015)

Collaborative Q-Learning Based Routing Control in Unstructured P2P Networks. - Xiangjun Shen; Qing Chang; Jianping Gou; Qirong Mao; Zheng-Jun Zha; Ke Lu 002 (MMM (1), 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 003; Zheng-Jun Zha (PCM (1), 2016)

Large-scale support vector machine classification with redundant data reduction. - Xiangjun Shen; Lei Mu; Zhen Li; Haoxiang Wu; Jianping Gou; Xin Chen 071 (Neurocomputing, 2016)

Building Weighted Classifier Ensembles Through Classifiers Pruning. - Chenwei Cai; Dickson Keddy Wornyo; Liangjun Wang; Xiangjun Shen (ICIMCS, 2017)

Diversity-induced weighted classifier ensemble learning. - Y. Dong; Xiangjun Shen; Liangjun Wang; Dickson Keddy Wornyo; Zheng-Jun Zha (ICIP, 2017)

A Multi-local Means Based Nearest Neighbor Classifier. - Jianping Gou; Wenmo Qiu; Qirong Mao; Yongzhao Zhan 001; Xiangjun Shen; Yunbo Rao (ICTAI, 2017)

Least-Squares Regulation Based Graph Embedding. - Si-Xing Liu; Timothy Apasiba Abeo; Xiang-jun Shen (PCM (1), 2017)

Building kernelized canonical correlation ensemble for dimensionality reduction. - XiaoZhen Luo; Xiang-jun Shen; Timothy Apasiba Abeo (ICIMCS, 2018)

Multi-graph Regularized Deep Auto-Encoders for Multi-view Image Representation. - Jiaying Fang; Yongzhao Zhan 001; Xiangjun Shen (PCM (1), 2018)

Simulating Bokeh Effect with Kinect. - Yang Yang 046; Huiwen Bian; Yanhong Peng; Xiangjun Shen; Heping Song (PCM (1), 2018)

Sparsity and Geometry Preserving Graph Embedding for Dimensionality Reduction. - Jianping Gou; Zhang Yi 001; David Zhang 001; Yongzhao Zhan 001; Xiangjun Shen; Lan Du 002 (IEEE Access, 2018)

Least squares kernel ensemble regression in Reproducing Kernel Hilbert Space. - Xiangjun Shen; Yong Dong; Jianping Gou; Yongzhao Zhan 001; Jianping Fan 001 (Neurocomputing, 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)

CCLBR: Congestion Control-Based Load Balanced Routing in Unstructured P2P Systems. - Xiangjun Shen; Qing Chang; Lu Liu 001; John Panneerselvam; Zheng-Jun Zha (IEEE Syst. J., 2018)

Spatially Coherent Feature Learning for Pose-Invariant Facial Expression Recognition. - Feifei Zhang; Qirong Mao; Xiangjun Shen; Yongzhao Zhan 001; Ming Dong 001 (ACM Trans. Multim. Comput. Commun. Appl., 2018)

Incomplete-Data Oriented Dimension Reduction via Instance Factoring PCA Framework. - Ernest Domanaanmwi Ganaa; Timothy Apasiba Abeo; Sumet Mehta; Heping Song; Xiang-Jun Shen (ICIG (3), 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 (ICIG (3), 2019)

Manifold Alignment with Multi-graph Embedding. - Changbin Huang; Timothy Apasiba Abeo; Xiangjun Shen (MMAsia, 2019)

Near-Duplicate Video Retrieval Through Toeplitz Kernel Partial Least Squares. - Jia-Li Tao; Jian-Ming Zhang; Liangjun Wang; Xiangjun Shen; Zheng-Jun Zha (MMM (2), 2019)

Manifold Alignment via Global and Local Structures Preserving PCA Framework. - Timothy Apasiba Abeo; Xiangjun Shen; Ernest Domanaanmwi Ganaa; Qian Zhu 003; Bing-Kun Bao; Zheng-Jun Zha (IEEE Access, 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)

Coupled Least Squares Support Vector Ensemble Machines. - Dickson Keddy Wornyo; Xiang-Jun Shen (Inf., 2019)

Locality constrained representation-based K-nearest neighbor classification. - Jianping Gou; Wenmo Qiu; Zhang Yi 001; Xiangjun Shen; Yongzhao Zhan 001; Weihua Ou (Knowl. Based Syst., 2019)

Laplacian Regularized Kernel Canonical Correlation Ensemble for Remote Sensing Image Classification. - Xiang-Jun Shen; XiaoZhen Luo; Timothy Apasiba Abeo; Yang Yang 046; Xi Shao; Shuying Li (IEEE Geosci. Remote. Sens. Lett., 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)

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 001 (Pattern Recognit., 2019)

Co-regularized kernel ensemble regression. - Dickson Keddy Wornyo; Xiang-jun Shen; Yong Dong; Liangjun Wang; Shu-Cheng Huang (World Wide Web, 2019)

Robust low rank representation via feature and sample scaling. - Xiang-Jun Shen; Yuxuan Wang; Liangjun Wang; Sumet Mehta; Bing-Kun Bao; Jianping Fan 001 (Neurocomputing, 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)

If-SVM: Iterative factoring support vector machine. - Yuqing Pan; Wenpeng Zhai; Wei Gao; Xiangjun Shen (Multim. Tools Appl., 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 001 (Pattern Recognit., 2020)

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)

Deflated manifold embedding PCA framework via multiple instance factorings. - Ernest Domanaanmwi Ganaa; Xiang-Jun Shen; Timothy Apasiba Abeo (Multim. Tools Appl., 2021)

Robust deflated canonical correlation analysis via feature factoring for multi-view image classification. - Kaifa Hui; Ernest Domanaanmwi Ganaa; Yongzhao Zhan 001; Xiang-jun Shen (Multim. Tools Appl., 2021)

SLiKER: Sparse loss induced kernel ensemble regression. - Xiang-Jun Shen; Chenggong Ni; Liangjun Wang; Zheng-Jun Zha (Pattern Recognit., 2021)

Multiview Common Subspace Clustering via Coupled Low Rank Representation. - Stanley Ebhohimhen Abhadiomhen; Zhiyang Wang; Xiangjun Shen; Jianping Fan 001 (ACM Trans. Intell. Syst. Technol., 2021)

MKEL: Multiple Kernel Ensemble Learning via Unified Ensemble Loss for Image Classification. - Xiangjun Shen; Kou Lu; Sumet Mehta; Jianming Zhang; Weifeng Liu 001; Jianping Fan 001; Zhengjun Zha (ACM Trans. Intell. Syst. Technol., 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)

Time and Memory Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain. - Xiang-Jun Shen; Zhaorui Xu; Liangjun Wang; Zechao Li (ACM Multimedia, 2022)

Deep Weighted Guided Upsampling Network for Depth of Field Image Upsampling. - Lanling Zeng; Lianxiong Wu; Yang Yang 046; Xiangjun Shen; Yongzhao Zhan 001 (MMAsia, 2022)

Coupled low rank representation and subspace clustering. - Stanley Ebhohimhen Abhadiomhen; Zhiyang Wang; Xiangjun Shen (Appl. Intell., 2022)

Diversified feature representation via deep auto-encoder ensemble through multiple activation functions. - Na Qiang; Xiang-Jun Shen; Chang-Bin Huang; Shengli Wu 001; Timothy Apasiba Abeo; Ernest Domanaanmwi Ganaa; Shu-Cheng Huang (Appl. Intell., 2022)

Robust low-rank representation via residual projection for image classification. - Kaifa Hui; Xiang-Jun Shen; Stanley Ebhohimhen Abhadiomhen; Yongzhao Zhan 001 (Knowl. Based Syst., 2022)

Structure injected weight normalization for training deep networks. - Xu Yuan 008; Xiangjun Shen; Sumet Mehta; Teng Li 001; Shiming Ge; Zhengjun Zha (Multim. Syst., 2022)

MoRE: Multi-output residual embedding for multi-label classification. - Siyu Liu; Xuehua Song; Zhongchen Ma; Ernest Domanaanmwi Ganaa; Xiangjun Shen (Pattern Recognit., 2022)

Edge Structure Learning via Low Rank Residuals for Robust Image Classification. - Xiangjun Shen; Stanley Ebhohimhen Abhadiomhen; Yang Yang 001; Zhifeng Liu; Sirui Tian (AAAI, 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)

Multi-dictionary induced low-rank representation with multi-manifold regularization. - Jinghui Zhou; Xiangjun Shen; Sixing Liu; Liangjun Wang; Qian Zhu 003; Ping Qian (Appl. Intell., 2023)

Edge Preserved Low-Rank SAR Image Despeckling via Hierarchical Prior Knowledge Regulation. - Zhiyong Xu 002; Xiaolin Feng; Sirui Tian; Xiang-Jun Shen; Hong Zhang 001; Chao Wang 004 (IEEE Trans. Geosci. Remote. Sens., 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)

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 001; Jianping Fan 007 (IEEE Trans. Multim., 2023)

$L_{1}$-Regularized Reconstruction Model for Edge-Preserving Filtering. - Yang Yang 046; Hao Zheng; Lanling Zeng; Xiangjun Shen; Yongzhao Zhan 001 (IEEE Trans. Multim., 2023)

A correlation analysis framework via joint sample and feature selection. - Na Qiang; Xiangjun Shen; Ernest Domanaanmwi Ganaa; Yang Yang 001; Shengli Wu 001; Zengmin Zhao; Shu-Cheng Huang (Multim. Tools Appl., 2023)

Kernel ensemble support vector machine with integrated loss in shared parameters space. - YuRen Wu; Xiang-Jun Shen; Stanley Ebhohimhen Abhadiomhen; Yang Yang 001; Ji-Nan Gu (Multim. Tools Appl., 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 002; Xiangjun Shen; Jing Wang 057; Xinming Zhang; Wenyun Gao; Hong Zhang 001; Chao Wang 004 (Remote. Sens., 2023)

Dual projection learning with adaptive graph smoothing for multi-label classification. - Zhifeng Liu; Rui-hang Cai; Timothy Apasiba Abeo; Qian Zhu 003; Cong-hua Zhou; Xiang-Jun Shen (Appl. Intell., 2023)

Robust multiview spectral clustering via cooperative manifold and low rank representation induced. - Zhiyong Xu 002; Sirui Tian; Stanley Ebhohimhen Abhadiomhen; Xiang-Jun Shen (Multim. Tools Appl., 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., 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., 2023)

Multi-view Representation Induced Kernel Ensemble Support Vector Machine. - Ebenezer Quayson; Ernest Domanaanmwi Ganaa; Qian Zhu 003; Xiang-Jun Shen (Neural Process. Lett., 2023)

Parameterized $L_{0}$ Image Smoothing With Unsupervised Learning. - Yang Yang 046; Ling Tang; Tao Yan 001; Lanling Zeng; Xiangjun Shen; Yongzhao Zhan 001 (IEEE Trans. Emerg. Top. Comput. Intell., 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., 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 007; Zhengjun Zha (IEEE Trans. Neural Networks Learn. Syst., 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., 2024)

Self-expressive induced clustered attention for video-text retrieval. - Jingxuan Zhu; Xiangjun Shen; Sumet Mehta; Timothy Apasiba Abeo; Yongzhao Zhan 001 (Multim. Syst., 2024)

Robust feature enhanced deep kernel support vector machine via low rank representation and clustering. - Hongtao Li; Lulu Jiang; Ernest Domanaanmwi Ganaa; Peiwang Li; Xiang-Jun Shen (Expert Syst. Appl., 2025)

Diversified deep hierarchical kernel ensemble regression. - Zhifeng Liu; Zhengqin Xu; Stanley Ebhohimhen Abhadiomhen; Xiaoqin Qian; Xiang-Jun Shen (Multim. Tools Appl., 2025)

Robust multi-label classification via data reconstruction by neighborhood samples augmentation. - Zhifeng Liu; Sitao Xi; Timothy Apasiba Abeo; Xiang-Jun Shen; Conghua Zhou; Heping Song; Peiwang Li (Multim. Tools Appl., 2025)

Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks. - Enock Adjei Agyekum; Yu-guo Wang; Eliasu Issaka; Yong-zhen Ren; Gongxun Tan; Xiangjun Shen; Xiaoqin Qian (BMC Medical Informatics Decis. Mak., 2025)

Robust deep dictionary learning via self-expression neighbor atom enhancement. - Heping Song; Yusen Qian; Sumet Mehta; Jianping Gou; Hongying Meng; Xiangjun Shen (Expert Syst. Appl., 2026)