An online spatio-temporal tensor learning model for visual tracking and its applications to facial expression recognition. - Sheheryar Khan; Guoxia Xu; Raymond Chan; Hong Yan 001 (Expert Syst. Appl., 2017)

Discriminative tracking via supervised tensor learning. - Guoxia Xu; Sheheryar Khan; Hu Zhu; Lixin Han; Michael K. Ng 001; Hong Yan 001 (Neurocomputing, 2018)

Image Threshold Segmentation Based on GLLE Histogram. - Chunming He; Xiaobo Wang; Lizhen Deng; Guoxia Xu (iThings/GreenCom/CPSCom/SmartData, 2019)

基于张量分解的域适应算法 (Domain Adaptation Algorithm Based on Tensor Decomposition). - Shuyan Xu; Lixin Han; Guoxia Xu (计算机科学, 2019)

Singular value decomposition based recommendation using imputed data. - Xiaofeng Yuan; Lixin Han; Subin Qian; Guoxia Xu; Hong Yan 001 (Knowl. Based Syst., 2019)

Dilated-aware discriminative correlation filter for visual tracking. - Guoxia Xu; Hu Zhu; Lizhen Deng; Lixin Han; Yujie Li 001; Huimin Lu 001 (World Wide Web, 2019)

Infrared and visible image fusion based on local gradient constraints. - Guosheng Lu; Chunming He; Lei Xu 028; Jinlei Ren; Guoxia Xu; Haiming Zhao (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2020)

TV2++: a novel spatial-temporal total variation for super resolution with exponential-type norm. - Lizhen Deng; Zhetao Zhou; Guoxia Xu; Hu Zhu; Bing-Kun Bao (EURASIP J. Wirel. Commun. Netw., 2020)

Kernelized dual regression incorporating local information for image set classification. - Xian-Liang Wang; Jiao Du; Guoxia Xu; Ignazio Passero; Hao Wang 003; Yu-Feng Yu (Pattern Recognit. Lett., 2020)

Balanced Ring Top-Hat Transformation for Infrared Small-Target Detection With Guided Filter Kernel. - Hu Zhu; Jieke Zhang; Guoxia Xu; Lizhen Deng (IEEE Trans. Aerosp. Electron. Syst., 2020)

Image Correspondence With CUR Decomposition-Based Graph Completion and Matching. - Sheheryar Khan; Mehmood Nawaz; Guoxia Xu; Hong Yan 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

DSPNet: A Lightweight Dilated Convolution Neural Networks for Spectral Deconvolution With Self-Paced Learning. - Hu Zhu; Yiming Qiao; Guoxia Xu; Lizhen Deng; Yu-Feng Yu (IEEE Trans. Ind. Informatics, 2020)

TNLRS: Target-Aware Non-Local Low-Rank Modeling With Saliency Filtering Regularization for Infrared Small Target Detection. - Hu Zhu; Haopeng Ni; Shiming Liu; Guoxia Xu; Lizhen Deng (IEEE Trans. Image Process., 2020)

Multimodal Fusion Method Based on Self-Attention Mechanism. - Hu Zhu; Ze Wang; Yu Shi; Yingying Hua; Guoxia Xu; Lizhen Deng (Wirel. Commun. Mob. Comput., 2020)

Infrared and Visible Image Fusion based on Deep Gradient Constraint Driven Network. - Ze Wang; Guoxia Xu (HPCC/DSS/SmartCity/DependSys, 2021)

Flexible Subspace Clustering: A Joint Feature Selection and K-Means Clustering Framework. - Zhong-Zhen Long; Guoxia Xu; Jiao Du; Hu Zhu; Taiyu Yan; Yu-Feng Yu (Big Data Res., 2021)

Video smoke removal based on low-rank tensor completion via spatial-temporal continuity constraint. - Hu Zhu; Guoxia Xu; Lu Liu; Lizhen Deng (Concurr. Comput. Pract. Exp., 2021)

Vector co-occurrence morphological edge detection for colour image. - Ying Lu; Chunming He; Yu-Feng Yu; Guoxia Xu; Hu Zhu; Lizhen Deng (IET Image Process., 2021)

RoDeRain: Rotational Video Derain via Nonconvex and Nonsmooth Optimization. - Lizhen Deng; Guoxia Xu; Hu Zhu; Bing-Kun Bao (Mob. Networks Appl., 2021)

Infrared small target detection via adaptive M-estimator ring top-hat transformation. - Lizhen Deng; Jieke Zhang; Guoxia Xu; Hu Zhu (Pattern Recognit., 2021)

Dual Calibration Mechanism Based L2, p-Norm for Graph Matching. - Yu-Feng Yu; Guoxia Xu; Ke-Kun Huang; Hu Zhu; Long Chen 001; Hao Wang 003 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Tensor Field Graph-Cut for Image Segmentation: A Non-Convex Perspective. - Hu Zhu; Jieke Zhang; Guoxia Xu; Lizhen Deng (IEEE Trans. Circuits Syst. Video Technol., 2021)

Joint Transformation Learning via the L2, 1-Norm Metric for Robust Graph Matching. - Yu-Feng Yu; Guoxia Xu; Min Jiang 003; Hu Zhu; Dao-Qing Dai; Hong Yan 001 (IEEE Trans. Cybern., 2021)

Multi-label Abdominal Image Segmentation with Partially Labeled Data: A Prototypical Consistent Learning Perspective. - Guoxia Xu; Hao Wang 003; Marius Pedersen; Hu Zhu; Meng Zhao 001 (DASC/PiCom/CBDCom/CyberSciTech, 2022)

JADD-GAN: A Joint Attention Generative Adversarial Data Fusion Network for Object Detection and Tracking. - Guoxia Xu; Hao Wang 003; Meng Zhao 001; Hu Zhu (HPCC/DSS/SmartCity/DependSys, 2022)

A Self-paced Learning based Transfer Model for Hypergraph Matching. - Hu Zhu; Xueqin Wang; Guoxia Xu; Lizhen Deng (Inf. Sci., 2022)

Kernel embedding transformation learning for graph matching. - Yu-Feng Yu; Long Chen 001; Ke-Kun Huang; Hu Zhu; Guoxia Xu (Pattern Recognit. Lett., 2022)

When Infrared Small Target Detection Meets Tensor Ring Decomposition: A Multiscale Morphological Framework. - Lizhen Deng; Jie Song; Guoxia Xu; Hu Zhu (IEEE Trans. Aerosp. Electron. Syst., 2022)

A Generalized Low-Rank Double-Tensor Nuclear Norm Completion Framework for Infrared Small Target Detection. - Lizhen Deng; Dongyuan Xu; Guoxia Xu; Hu Zhu (IEEE Trans. Aerosp. Electron. Syst., 2022)

Entropy-Driven Morphological Top-Hat Transformation for Infrared Small Target Detection. - Lizhen Deng; Guoxia Xu; Jieke Zhang; Hu Zhu (IEEE Trans. Aerosp. Electron. Syst., 2022)

A Dual Stream Spectrum Deconvolution Neural Network. - Lizhen Deng; Guoxia Xu; Yanyu Dai; Hu Zhu (IEEE Trans. Ind. Informatics, 2022)

FCFusion: Fractal Componentwise Modeling With Group Sparsity for Medical Image Fusion. - Guoxia Xu; Xiaoxue Deng; Xiaokang Zhou; Marius Pedersen; Lucia Cimmino; Hao Wang 003 (IEEE Trans. Ind. Informatics, 2022)

PcGAN: A Noise Robust Conditional Generative Adversarial Network for One Shot Learning. - Lizhen Deng; Chunming He; Guoxia Xu; Hu Zhu; Hao Wang 003 (IEEE Trans. Intell. Transp. Syst., 2022)

Bilateral Weighted Regression Ranking Model With Spatial-Temporal Correlation Filter for Visual Tracking. - Hu Zhu; Hao Peng; Guoxia Xu; Lizhen Deng; Yueying Cheng; Aiguo Song (IEEE Trans. Multim., 2022)

Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion. - Chunming He; Kai Li 012; Guoxia Xu; Yulun Zhang 001; Runze Hu; Zhenhua Guo 001; Xiu Li 001 (ICCV, 2023)

Deep Interpretable Component Decoupled Dictionary Neural Network for Image Denoising in Industrial Cyber-Physical System. - Lizhen Deng; Yushan Pan; Guoxia Xu; Taiyu Yan; Zhongyang Wang; Hu Zhu (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2023)

Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping. - Chunming He; Kai Li 012; Yachao Zhang 001; Guoxia Xu; Longxiang Tang; Yulun Zhang 001; Zhenhua Guo 001; Xiu Li 001 (NeurIPS, 2023)

Encoder Activation Diffusion and Decoder Transformer Fusion Network for Medical Image Segmentation. - Xueru Li; Guoxia Xu; Meng Zhao 001; Fan Shi 001; Hao Wang 003 (PRCV (13), 2023)

Improving Image Quality, Content, and Practicality: Knowledge-Oriented Methods for Information Enhancement. - Guoxia Xu (2023)

CPAD: Component Pixel-Aware Multispectral Image Destriping. - Guoxia Xu; Lizhen Deng; Hao Wang 003; Hu Zhu (IEEE Trans. Aerosp. Electron. Syst., 2023)

Cooperative linear regression model for image set classification. - Yu-Feng Yu; Xian-Liang Wang; Long Chen 001; Yingxu Wang 002; Guoxia Xu (Expert Syst. Appl., 2023)

Learning the Distribution-Based Temporal Knowledge With Low Rank Response Reasoning for UAV Visual Tracking. - Guoxia Xu; Hao Wang 003; Meng Zhao 001; Marius Pedersen; Hu Zhu (IEEE Trans. Intell. Transp. Syst., 2023)

Unpaired Self-supervised Learning for Industrial Cyber-Manufacturing Spectrum Blind Deconvolution. - Lizhen Deng; Guoxia Xu; Jiaqi Pi; Hu Zhu; Xiaokang Zhou (ACM Trans. Internet Techn., 2023)

MAE-NIR: A masked autoencoder that enhances near-infrared spectral data to predict soil properties. - Midi Wan; Taiyu Yan; Guoxia Xu; Aibing Liu; Yangbin Zhou; Hao Wang 003; Xiu Jin (Comput. Electron. Agric., 2023)

Infrared Small Target Detection - Theory, Methods, and Algorithms. - Hu Zhu; Yushan Pan; Lizhen Deng; Guoxia Xu (Springer, 2024)

High-Order Multiple Kernelized Correlation Filter in Tensor for Visual Tracking. - Lizhen Deng; Rui Zhang 091; Zhongyang Wang; Guoxia Xu; Hu Zhu (CVDL, 2024)

Learning Temporal Consistency Correlation Filter with Gradient Feature for UAV Tracking. - Yue He; Guoxia Xu; Lizhen Deng; Hu Zhu (ICCVIT, 2024)

Multi-Perspective Text-Guided Multimodal Fusion Network for Brain Tumor Segmentation. - Huanping Zhang; Yi Zhang 111; Guoxia Xu; Jiangpeng Zheng; Meng Zhao 001 (PRCV (14), 2024)

DM-Fusion: Deep Model-Driven Network for Heterogeneous Image Fusion. - Guoxia Xu; Chunming He; Hao Wang 003; Hu Zhu; Weiping Ding 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Tensor Evidence Fusion Network for Sentiment Classification. - Zhongyang Wang; Guoxia Xu; Xiaokang Zhou; Jung Yoon Kim; Hu Zhu; Lizhen Deng (IEEE Trans. Comput. Soc. Syst., 2024)

Trusted Multimodal Socio-Cyber Sentiment Analysis Based on Disentangled Hierarchical Representation Learning. - Guoxia Xu; Lizhen Deng; Yansheng Li 001; Yantao Wei; Xiaokang Zhou; Hu Zhu (IEEE Trans. Comput. Soc. Syst., 2024)

HQG-Net: Unpaired Medical Image Enhancement With High-Quality Guidance. - Chunming He; Kai Li 012; Guoxia Xu; Jiangpeng Yan; Longxiang Tang; Yulun Zhang 001; Yaowei Wang 001; Xiu Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Adaptive auxiliary diffusion for multi-modal brain tumor segmentation with random missing modalities. - Boyue Zhao; Yi Zhang 111; Meng Zhao 001; Guoxia Xu; Congcong Wang (Biomed. Signal Process. Control., 2025)

PVSSNet: Progressive Feature Interaction Visual State-Space Network for Multispectral Pansharpening. - Guoxia Xu; Zhenwei Xu; Lizhen Deng; Hu Zhu (IEEE Geosci. Remote. Sens. Lett., 2025)

Integrating Extra Modality Helps Segmentor Find Camouflaged Objects Well. - Chengyu Fang 001; Chunming He; Longxiang Tang; Yuelin Zhang; Chenyang Zhu 007; Yuqi Shen; Chubin Chen; Guoxia Xu; Xiu Li 001 (CoRR, 2025)

TDSF-Net: Tensor Decomposition-Based Subspace Fusion Network for Multimodal Medical Image Classification. - Yi Zhang 111; Guoxia Xu; Meng Zhao 001; Hao Wang 003; Fan Shi 001; Shengyong Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)