沈项军｜江苏大学｜学者主页

2026

Edge priors guided deep unrolling network for single image super-resolution

Heping Song, Jie Han, Hui Ma, Hongjie Jia, Xiangjun Shen, Jianping Gou, Yuping Lai, Hongying Meng

Expert Systems With Applications，Vol. 308

DOI

2026

Robust deep dictionary learning via self-expression neighbor atom enhancement

Heping Song, Yusen Qian, Sumet Mehta, Jianping Gou, Hongying Meng, Xiangjun Shen

Expert Systems With Applications，Vol. 296

DOI

2026

一种高效傅里叶域线性注意力方法研究

薛云，王鹏，周从华，刘志锋，沈项军

《小型微型计算机系统》

2026

基于相位保持的频域MinMax框架图增强方法

华彧，周效成，沈项军，刘志锋，周从华

《计算机科学》

2026

Multi-scale sampling and windowed sparse self-attention reconstruction network for image compressive sensing

Heping Song, Lin-Lin Zhang, Jingyao Gong, Hongjie Jia, Xiangjun Shen, Jian-Ping Gou, Yuping Lai, Hong-Ying Meng

Image and Vision Computing

DOI

2026

Representation Sampling and Hybrid Transformer Network for Image Compressed Sensing

Heping Song, Jingyao Gong, Hongjie Jia, Xiangjun Shen, Jian-Ping Gou, Hong-Ying Meng, Le Wang

IEEE transactions on circuits and systems for video technology (Print)

DOI

2026

Plug and play document image shadow removal with conditional diffusion model

Yang Yang, Shuai Luo, Xiangjun Shen, Lanling Zeng

Information Sciences

DOI

2026

Multi-view data-driven ensemble kernel ridge regression via multi-kernel optimization

Qu Kun, Zhifeng Liu, Emmanuel Ntaye, Ernest Domanaanmwi Ganaa, Xiang‐Jun Shen

Multimedia Tools and Applications

DOI

2026

Hi-SpectralFormer: hierarchical spectral attention transformer for accurate medical image segmentation

Hao Xu, Xiangjun Shen, Zhifeng Liu, Ming Yang, Wentao KONG, Xiaoqin Qian

Applied Intelligence

DOI

2026

FA-CDDL: Contrastive deep dictionary learning with frequency augmentation

Zhifeng Liu, Tianrui Huang, John Kingsley Arthur, Conghua Zhou, Shengli Wu, Xiangjun Shen, Sirui Tian, Hongtao Li

Knowledge-Based Systems

DOI

2025

一种基于傅里叶图谱感知的图增强方法研究

周效成，沈项军

《小型微型计算机系统》

DOI

2025

Subset selection based fusion for biomedical information retrieval tasks

Jiahui Sun, Shengli Wu, Xiang‐Jun Shen, Chris Nugent, Hu Lu

BMC Bioinformatics

DOI

2025

SVE-Former: A fast fourier transformer via singular vector embedding

Xiang‐Jun Shen, Wenxiu Tian, Wenxiu Tian, Yang Yang, Conghua Zhou, Heping Song, Ming Yang, Yong Li, Sirui Tian, Zheng-Jun Zha

Neural Networks

DOI

2025

An extremely fast deep spectral clustering method in Fourier domain for large-scale data

Kun Qu, Man Zhang, Yang Yang, Hao Xu, Xiang‐Jun Shen

Multimedia Systems

DOI

2025

DIMCAR: dynamic intent modeling and context-aware recommendations in sparse data environment towards next basket prediction

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

Applied Intelligence

DOI

2025

Robust low-rank representation with structured similarity learning for multi-label classification

Emmanuel Ntaye, Conghua Zhou, Zhifeng Liu, Heping Song, Fadilul-lah Yassaanah Issahaku, Xiang‐Jun Shen

Applied Intelligence

DOI

2025

Cluster-infused low-rank subspace learning for robust multi-label classification

Ziyue Zhu, Conghua Zhou, Shijie Sun, Emmanuel Ntaye, Xiang‐Jun Shen, Zhifeng Liu

Applied Intelligence

DOI

2025

Ultrasound derived deep learning features for predicting axillary lymph node metastasis in breast cancer using graph convolutional networks in a multicenter study

Enock Adjei Agyekum, Wentao Kong, Doris Nti Agyekum, Eliasu Issaka, Xian Wang, Yongzhen Ren, Gongxun Tan, Xuan Jiang, Xiang‐Jun Shen, Xiaoqin Qian

Scientific Reports

DOI

2025

Ultrasound-based classification of follicular thyroid Cancer using deep convolutional neural networks with transfer learning

Enock Adjei Agyekum, Zhang Yuzhi, Fang Yu, Doris Nti Agyekum, Xian Wang, Eliasu Issaka, CuiRong Li, Xiang‐Jun Shen, Xiaoqin Qian, Xinping Wu

Scientific Reports

DOI

2025

A comparative analysis of three graph neural network models for predicting axillary lymph node metastasis in early-stage breast cancer

Enock Adjei Agyekum, Wentao Kong, Yongzhen Ren, Eliasu Issaka, Josephine Baffoe, Wang Xian, Gongxun Tan, Chunjing Xiong, Z Wang, Xiaoqin Qian, Xiang‐Jun Shen

Scientific Reports

DOI

2025

Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks

Enock Adjei Agyekum, Yuguo Wang, Eliasu Issaka, Yongzhen Ren, Gongxun Tan, Xiang‐Jun Shen, Xiaoqin Qian

BMC Medical Informatics and Decision Making

DOI

2025

Deep cross entropy fusion for pulmonary nodule classification based on ultrasound Imagery

Xian Wang, Ziou Zhao, Donggang Pan, Hui Zhou, Jie Hou, Hui Sun, Xiang‐Jun Shen, Sumet Mehta, Wei Wang

Frontiers in Oncology

DOI

2025

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 Systems with Applications

DOI

2024

基于对抗数据增强的低秩关联SAR目标分类算法

徐子涵，刘志锋，沈项军，吴蔚，孙家栋

《指挥信息系统与技术》

2024

Robust Ranking Kernel Support Vector Machine via Manifold Regularized Matrix Factorization for Multi-Label Classification

Heping Song, Yi-Ming Zhou, E. Quayson, Qian Zhu, Xiangjun Shen

Applied Sciences

DOI

2024

Self-expressive induced clustered attention for video-text retrieval

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

Multimedia Systems

DOI

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

Discover Computing

DOI

2024

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

Multimedia Tools and Applications

DOI

2024

Diversified deep hierarchical kernel ensemble regression

Zhifeng Liu, Zhengqin Xu, Stanley Ebhohimhen Abhadiomhen, Xiaoqin Qian, Xiang‐Jun Shen

Multimedia Tools and Applications

DOI

2024

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

Yang Yang, Ling Yi Tang, Tao Yan, Lanling Zeng, Xiang‐Jun Shen, Yongzhao Zhan

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2024

Asthma prediction via affinity graph enhanced classifier: a machine learning approach based on routine blood biomarkers

Dejing Li, Stanley Ebhohimhen Abhadiomhen, Dongmei Zhou, Xiang‐Jun Shen, Lei Shi, Yubao Cui

Journal of Translational Medicine

DOI

2023

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

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

Multimedia Tools and Applications

DOI

2023

Low-Rank Representation Based Model for Sar Image Denoising and Edge-Preserving

Tianyi Zhang, Sirui Tian, Stanley Ebhohimhen Abhadiomhen, Zhiyong Xu, Xiang‐Jun Shen, Jing Wang, Chao Wang

SAR in Big Data Era (BIGSARDATA)

DOI

2023

Hierarchical Model for SAR Image Despeckling VIA Low-Rank Representation and Prior Knowledge Regulation

Xiaolin Feng, Sirui Tian, Stanley Ebhohimhen Abhadiomhen, Zhiyong Xu, Xiang‐Jun Shen, Jing Wang, Chao Wang

SAR in Big Data Era (BIGSARDATA)

DOI

2023

Dual-modal radiomics for predicting cervical lymph node metastasis in papillary thyroid carcinoma

Yongzhen Ren, Siyuan Lu, Dongmei Zhang, Xian Wang, Enock Adjei Agyekum, Jin Zhang, Qing Zhang, Feiju Xu, Guoliang Zhang, Yú Chen, Xiang‐Jun Shen, Xuelin Zhang, Ting Wu, Hui Hu, Xiuhong Shan, Jun Wang, Xiaoqin Qian

Journal of X-Ray Science and Technology

DOI

2023

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, Zheng-Jun Zha

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

Edge Structure Learning via Low Rank Residuals for Robust Image Classification

Xiang‐Jun Shen, Stanley Ebhohimhen Abhadiomhen, Yang Yang, Zhifeng Liu, Sirui Tian

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

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, Xiang‐Jun Shen, Jing Wang, Xinming Zhang, Wenyun Gao, Hong Zhang, Chao Wang

Remote Sensing

DOI

2023

Multi-view Representation Induced Kernel Ensemble Support Vector Machine

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

Neural Processing Letters

DOI

2023

Geometrically Preserved Dual Projections Learning for Multi-label Classification

Zhifeng Liu, Rui-hang Cai, Timothy Apasiba Abeo, Conghua Zhou, Xiang‐Jun Shen

Neural Processing Letters

DOI

2023

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

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

Multimedia Tools and Applications

DOI

2023

Robust Dimensionality Reduction via Low-rank Laplacian Graph Learning

Mingjian Cai, Xiang‐Jun Shen, Stanley Ebhohimhen Abhadiomhen, Yingfeng Cai, Sirui Tian

ACM Transactions on Intelligent Systems and Technology

DOI

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 Transactions on Knowledge and Data Engineering

DOI

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 Transactions on Geoscience and Remote Sensing

DOI

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 Transactions on Multimedia

DOI

2022

深度网络去相关层归一化技术研究

王志扬，袁旭，沈项军，赵增民，季彬

《小型微型计算机系统》

2022

多核集成支持向量机合成孔径雷达目标分类

周一鸣，吴玉仁，沈项军，朱倩，吴蔚，张江涛

《指挥信息系统与技术》

2022

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

Si-Xing Liu, Xue-Hua Song, Zhongchen Ma, Ernest Domanaanmwi Ganaa, Xiangjun Shen

Pattern Recognition

DOI

2022

A correlation analysis framework via joint sample and feature selection

Na Qiang, Xiang‐Jun Shen, Ernest Domanaanmwi Ganaa, Yang Yang, Shengli Wu, Zengmin Zhao, Shucheng Huang

Multimedia Tools and Applications

DOI

2022

Deep Weighted Guided Upsampling Network for Depth of Field Image Upsampling

Lanling Zeng, Lianxiong Wu, Yang Yang, Xiang‐Jun Shen, Yongzhao Zhan

ACM International Conference on Multimedia in Asia (MMAsia)

DOI

2022

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

Yuren Wu, Xiang‐Jun Shen, Stanley Ebhohimhen Abhadiomhen, Yang Yang, Jinan Gu

Multimedia Tools and Applications

DOI

2022

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

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

Applied Intelligence

DOI

2022

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

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

ACM International Conference on Multimedia (ACM MM)

DOI

2022

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

Jinghui Zhou, Xiang‐Jun Shen, Sixing Liu, Liangjun Wang, Qian Zhu, Ping Qian

Applied Intelligence

DOI

2022

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

Yang Yang, Hao Zheng, Lanling Zeng, Xiang‐Jun Shen, Yongzhao Zhan

IEEE Transactions on Multimedia

DOI

2022

Robust kernel ensemble regression in diversified kernel space with shared parameters

Zhifeng Liu, Liu Chen, Sumet Mehta, Xiang‐Jun Shen, Yubao Cui

Applied Intelligence

DOI

2022

Robust low-rank representation via residual projection for image classification

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

Knowledge-Based Systems

DOI

2022

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

Na Qiang, Xiang‐Jun Shen, Changbin Huang, Shengli Wu, Timothy Apasiba Abeo, Ernest Domanaanmwi Ganaa, Shucheng Huang

Applied Intelligence

DOI

2021

SLiKER: Sparse loss induced kernel ensemble regression

Xiangjun Shen, Cheng-Gong Ni, Liangjun Wang, Zheng-Jun Zha

Pattern Recognition

DOI

2021

Structure injected weight normalization for training deep networks

Xu Yuan, Xiangjun Shen, Sumet Mehta, Teng Li, Shiming Ge, Zheng-Jun Zha

Multimedia Systems

DOI

2021

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

Zhiyang Wang, Stanley Ebhohimhen Abhadiomhen, Zhifeng Liu, Xiangjun Shen, Wen‐yun Gao, Shuying Li

IET Image Processing

DOI

2021

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

Kai-Fa Hui, Ernest Domanaanmwi Ganaa, Yong-Zhao Zhan, Xiangjun Shen

Multimedia tools and applications

DOI

2021

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

Xiangjun Shen, Jinghui Zhou, Zhongchen Ma, Bingkun Bao, Zheng-Jun Zha

ACM Trans. Multim. Comput. Commun. Appl.

DOI

2021

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

Xiangjun Shen, K. Lu, Sumet Mehta, Jianming Zhang, Wei-Feng Liu, Jian-Ping Fan, Zheng-Jun Zha

ACM Transactions on Intelligent Systems and Technology

DOI

2021

Multiview Common Subspace Clustering via Coupled Low Rank Representation

Stanley Ebhohimhen Abhadiomhen, Zhiyang Wang, Xiang‐Jun Shen, Jianping Fan

ACM Transactions on Intelligent Systems and Technology

DOI

2021

Coupled low rank representation and subspace clustering

Stanley Ebhohimhen Abhadiomhen, Zhi‐yang Wang, Xiang‐Jun Shen

Applied Intelligence

DOI

2020

Deflated manifold embedding PCA framework via multiple instance factorings

Ernest Domanaanmwi Ganaa, Xiangjun Shen, Timothy Apasiba Abeo

Multimedia tools and applications

DOI

2020

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

Xiangjun Shen, Si-Xing Liu, Bingkun Bao, Chun-Ping Pan, Zheng-Jun Zha, Jian-Ping Fan

Pattern Recognition

DOI

2020

Robust deflated principal component analysis via multiple instance factorings for dimension reduction in remote sensing images

Ernest Domanaanmwi Ganaa, Timothy Apasiba Abeo, Liangjun Wang, Heping Song, Xiangjun Shen

Journal of Applied Remote Sensing

DOI

2020

Robust low rank representation via feature and sample scaling

Xiangjun Shen, Yuxuan Wang, Liangjun Wang, Sumet Mehta, Bingkun Bao, Jian-Ping Fan

Neurocomputing

DOI

2020

If-SVM: Iterative factoring support vector machine

Yuqing Pan, Wenpeng Zhai, Wei Gao, Xiang‐Jun Shen

Multimedia Tools and Applications

DOI

2020

Semi-supervised manifold alignment with multi-graph embedding

Changbin Huang, Timothy Apasiba Abeo, Xiao-Zhen Luo, Xiang‐Jun Shen, Jianping Gou, Dejiao Niu

Multimedia Tools and Applications

DOI

2019

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

Yuxuan Wang, Timothy Apasiba Abeo, Liangjun Wang, Dickson Keddy Wornyo, Xiangjun Shen

International Conference on Image and Graphics

DOI

2019

Laplacian Regularized Kernel Canonical Correlation Ensemble for Remote Sensing Image Classification

Xiangjun Shen, Xiaozhen Luo, Timothy Apasiba Abeo, Yang Yang, Xi Shao, Shuying Li

IEEE Geoscience and Remote Sensing Letters

DOI

2019

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

Timothy Apasiba Abeo, Xiangjun Shen, Jian-Ping Gou, Qi-Rong Mao, Bingkun Bao, Shuying Li

IET Computer Vision

DOI

2019

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

Timothy Apasiba Abeo, Xiangjun Shen, Bingkun Bao, Zheng-Jun Zha, Jian-Ping Fan

Pattern Recognition

DOI

2019

Incomplete-Data Oriented Dimension Reduction via Instance Factoring PCA Framework

Ernest Domanaanmwi Ganaa, Timothy Apasiba Abeo, Sumet Mehta, Heping Song, Xiangjun Shen

International Conference on Image and Graphics

DOI

2019

Co-regularized kernel ensemble regression

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

World wide web (Bussum)

DOI

2019

Weighted Neighborhood Preserving Ensemble Embedding

Sumet Mehta, Bisheng Zhan, Xiangjun Shen

Electronics

DOI

2019

Locality constrained representation-based K-nearest neighbor classification

Jian-Ping Gou, Wenmo Qiu, Zhang Yi, Xiangjun Shen, Yong-Zhao Zhan, Weihua Ou

Knowledge-Based Systems

DOI

2019

Coupled Least Squares Support Vector Ensemble Machines

Dickson Keddy Wornyo, Xiangjun Shen

Inf.

DOI

2019

Manifold Alignment via Global and Local Structures Preserving PCA Framework

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

IEEE Access

DOI

2019

Manifold Alignment with Multi-graph Embedding

Changbin Huang, Timothy Apasiba Abeo, Xiangjun Shen

ACM Multimedia Asia

DOI

2018

Near-Duplicate Video Retrieval Through Toeplitz Kernel Partial Least Squares

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

Conference on Multimedia Modeling

DOI

2018

Building kernelized canonical correlation ensemble for dimensionality reduction

Xiaozhen Luo, Xiangjun Shen, Timothy Apasiba Abeo

International Conference on Internet Multimedia Computing and Service

DOI

2018

Dynamically building diversified classifier pruning ensembles via canonical correlation analysis

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

Multimedia tools and applications

DOI

2018

Least squares kernel ensemble regression in Reproducing Kernel Hilbert Space

Xiangjun Shen, Yong Dong, Jian-Ping Gou, Yong-Zhao Zhan, Jian-Ping Fan

Neurocomputing

DOI

2018

Sparsity and Geometry Preserving Graph Embedding for Dimensionality Reduction

Jian-Ping Gou, Zhang Yi, David Zhang, Yong-Zhao Zhan, Xiangjun Shen, Lan Du

IEEE Access

DOI

2018

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

Sumet Mehta, Xiangjun Shen, Jian-Ping Gou, Dejiao Niu

Inf.

DOI

2018

Spatially Coherent Feature Learning for Pose-Invariant Facial Expression Recognition

Fei-Fei Zhang, Qi-Rong Mao, Xiangjun Shen, Yong-Zhao Zhan, Ming Dong

ACM Trans. Multim. Comput. Commun. Appl.

DOI

2018

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

Jia-Ying Fang, Yong-Zhao Zhan, Xiangjun Shen

Pacific Rim Conference on Multimedia

DOI

2018

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

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

IEEE Systems Journal

DOI

2018

Simulating Bokeh Effect with Kinect

Yang Yang, Huiwen Bian, Peng Yanhong, Xiang‐Jun Shen, Heping Song

Lecture notes in computer science

DOI

2017

Least-Squares Regulation Based Graph Embedding

Si-Xing Liu, Timothy Apasiba Abeo, Xiangjun Shen

Pacific Rim Conference on Multimedia

DOI

2017

Diversity-induced weighted classifier ensemble learning

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

International Conference on Information Photonics

DOI

2017

A Multi-local Means Based Nearest Neighbor Classifier

Jian-Ping Gou, Wenmo Qiu, Qi-Rong Mao, Yong-Zhao Zhan, Xiangjun Shen, Yun-Bo Rao

IEEE International Conference on Tools with Artificial Intelligence

DOI

2017

Building Weighted Classifier Ensembles Through Classifiers Pruning

Chen-Wei Cai, Dickson Keddy Wornyo, Liangjun Wang, Xiangjun Shen

International Conference on Internet Multimedia Computing and Service

DOI

2016

Collaborative Q-Learning Based Routing Control in Unstructured P2P Networks

Xiangjun Shen, Qing Chang, Jian-Ping Gou, Qi-Rong Mao, Zheng-Jun Zha, K. Lu

Conference on Multimedia Modeling

DOI

2016

Large-scale support vector machine classification with redundant data reduction

Xiangjun Shen, Lei Mu, Zhen Li, Hao-Xiang Wu, Jian-Ping Gou, Xin Chen

Neurocomputing

DOI

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

Pacific Rim Conference on Multimedia

DOI

2015

基于多重图像分割评价的图像对象定位方法

沈项军，穆磊，查正军，苟建平，詹永照

《模式识别与人工智能》

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, Yi Yao, Zheng-Jun Zha

《计算机科学》

DOI

2015

Two-Phase Representation Based Classification

Jian-Ping Gou, Yong-Zhao Zhan, Xiangjun Shen, Qi-Rong Mao, Liangjun Wang

Pacific Rim Conference on Multimedia

DOI

2015

Using Kinect for real-time emotion recognition via facial expressions

Qi-Rong Mao, Xinyun Pan, Yong-Zhao Zhan, Xiangjun Shen

Frontiers of Information Technology & Electronic Engineering

DOI

2014

Improved pseudo nearest neighbor classification

Jian-Ping Gou, Yong-Zhao Zhan, Yun-Bo Rao, Xiangjun Shen, Xiao-Ming Wang, Wu He

Knowledge-Based Systems

DOI

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

DOI

2014

Maximum Neighborhood Margin Discriminant Projection for Classification

Jian-Ping Gou, Yong-Zhao Zhan, Min Wan, Xiangjun Shen, Jin-Fu Chen, Lan Du

TheScientificWorldJournal

DOI

2013

基于单类支持向量机的视频车辆检测研究

高海迪，詹智财，沈项军，曾兰玲

《计算机工程与设计》

2013

多特征证据理论融合的视觉词典构建

沈项军，高海迪，曾兰玲，毛启容，詹永照

《中国图象图形学报》

2013

Video vehicle detection research based on one-class SVM classification

Xiangjun Shen

2013

Distributed SVM Classification with Redundant Data Removing

Xiangjun Shen, Z. Li, Zhong-Qiu Jiang, Yong-Zhao Zhan

2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing

DOI

2013

Visual dictionary construction method based on dempster-shafer evidence theory

Xiangjun Shen, Haidi Gao, Lanling Zeng, Qirong Mao, Yong-Zhao Zhan

Journal of Image and Graphics

DOI

2012

Training support vector machine through redundant data reduction

Xiangjun Shen, Hao-Xiang Wu, Qian Zhu

International Conference on Internet Multimedia Computing and Service

DOI

2012

Approximate distributed clustering by learning the confidence radius on Fisher discriminant ratio

Xiangjun Shen, Zheng-Jun Zha, Qian Zhu, H.-B. Yang, PeiYing Gu

DOI

2012

Redundant data reducing method suitable for training of support vector machine

Xiangjun Shen, Hao-Xiang Wu, Zhong-Qiu Jiang, Lin Lin, Yong-Zhao Zhan, He-Biao Yang

2012

Topology Adaptation Based on Mobile Agent in Unstructured P2P Networks

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

Pacific Rim Conference on Multimedia

DOI

2012

Image Subcategory Classification Based on Dempster-Shafer Evidence Theory

Haidi Gao, Xiang‐Jun Shen, Zhongqiu Jiang, Hebiao Yang, Yan Li

International Conference on Computer Science and Service System

DOI

2011

Search algorithm based on information diffusion for unstructured peer-to-peer networks

Xiangjun Shen, Z.-Q. Jiang, X.-Y. Zhang

DOI

2008

一种新的基于基准线的形状编码

龚声蓉，陆悌亮，沈项军，刘纯平

《中国图象图形学报》

2008

一种自适应的Harris角点检测算法

赵万金，龚声蓉，刘纯平，沈项军

《计算机工程》

2008

Mining user hidden semantics from image content for image retrieval

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

Journal of Visual Communication and Image Representation

DOI

2007

一种基于视觉感知的色彩量化算法

沈项军，汪增福

《模式识别与人工智能》

2007

一种基于色彩和纹理分析的图像分割算法

沈项军，汪增福

《模式识别与人工智能》

2007

一种基于内容的快速视频运动对象分割算法

倪峰，龚声蓉，沈项军

《微电子学与计算机》

2006

基于语义学习的图像检索研究

沈项军

《中国科学技术大学》

2003

一种基于特征跟踪的彩色序列图像拼接方法

沈项军，李峰，陈金华

《微型电脑应用》

精选作品

期刊论文

Edge priors guided deep unrolling network for single image super-resolution

Robust deep dictionary learning via self-expression neighbor atom enhancement

一种高效傅里叶域线性注意力方法研究

基于相位保持的频域MinMax框架图增强方法

Multi-scale sampling and windowed sparse self-attention reconstruction network for image compressive sensing

Representation Sampling and Hybrid Transformer Network for Image Compressed Sensing

Plug and play document image shadow removal with conditional diffusion model

Multi-view data-driven ensemble kernel ridge regression via multi-kernel optimization

Hi-SpectralFormer: hierarchical spectral attention transformer for accurate medical image segmentation

FA-CDDL: Contrastive deep dictionary learning with frequency augmentation

一种基于傅里叶图谱感知的图增强方法研究

Subset selection based fusion for biomedical information retrieval tasks

SVE-Former: A fast fourier transformer via singular vector embedding

An extremely fast deep spectral clustering method in Fourier domain for large-scale data

DIMCAR: dynamic intent modeling and context-aware recommendations in sparse data environment towards next basket prediction

Robust low-rank representation with structured similarity learning for multi-label classification

Cluster-infused low-rank subspace learning for robust multi-label classification

Ultrasound derived deep learning features for predicting axillary lymph node metastasis in breast cancer using graph convolutional networks in a multicenter study

Ultrasound-based classification of follicular thyroid Cancer using deep convolutional neural networks with transfer learning

A comparative analysis of three graph neural network models for predicting axillary lymph node metastasis in early-stage breast cancer

Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks

Deep cross entropy fusion for pulmonary nodule classification based on ultrasound Imagery

Robust feature enhanced deep kernel support vector machine via low rank representation and clustering

基于对抗数据增强的低秩关联SAR目标分类算法

Robust Ranking Kernel Support Vector Machine via Manifold Regularized Matrix Factorization for Multi-Label Classification

Self-expressive induced clustered attention for video-text retrieval

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

Robust multi-label classification via data reconstruction by neighborhood samples augmentation

Diversified deep hierarchical kernel ensemble regression

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

Asthma prediction via affinity graph enhanced classifier: a machine learning approach based on routine blood biomarkers

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

Low-Rank Representation Based Model for Sar Image Denoising and Edge-Preserving

Hierarchical Model for SAR Image Despeckling VIA Low-Rank Representation and Prior Knowledge Regulation

Dual-modal radiomics for predicting cervical lymph node metastasis in papillary thyroid carcinoma

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

Edge Structure Learning via Low Rank Residuals for Robust Image Classification

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

Multi-view Representation Induced Kernel Ensemble Support Vector Machine

Geometrically Preserved Dual Projections Learning for Multi-label Classification

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

Robust Dimensionality Reduction via Low-rank Laplacian Graph Learning

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

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

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

深度网络去相关层归一化技术研究

多核集成支持向量机合成孔径雷达目标分类

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

A correlation analysis framework via joint sample and feature selection

Deep Weighted Guided Upsampling Network for Depth of Field Image Upsampling

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

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

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

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

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

Robust kernel ensemble regression in diversified kernel space with shared parameters

Robust low-rank representation via residual projection for image classification

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

SLiKER: Sparse loss induced kernel ensemble regression

Structure injected weight normalization for training deep networks

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

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

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

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

Multiview Common Subspace Clustering via Coupled Low Rank Representation

Coupled low rank representation and subspace clustering

Deflated manifold embedding PCA framework via multiple instance factorings

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

Robust deflated principal component analysis via multiple instance factorings for dimension reduction in remote sensing images

Robust low rank representation via feature and sample scaling

If-SVM: Iterative factoring support vector machine

Semi-supervised manifold alignment with multi-graph embedding

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

Laplacian Regularized Kernel Canonical Correlation Ensemble for Remote Sensing Image Classification

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

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

Incomplete-Data Oriented Dimension Reduction via Instance Factoring PCA Framework

Co-regularized kernel ensemble regression