Perceptual image quality assessment based on structural similarity and visual masking. - Xuan Fei; Liang Xiao 001; Yubao Sun; Zhihui Wei (Signal Process. Image Commun., 2012)

Iterative Directional Total Variation Refinement for Compressive Sensing Image Reconstruction. - Xuan Fei; Zhihui Wei; Liang Xiao 001 (IEEE Signal Process. Lett., 2013)

Automatic Segmentation of White Matter Lesions Using SVM and RSF Model in Multi-channel MRI. - Renping Yu; Liang Xiao 001; Zhihui Wei; Xuan Fei (ICIG (1), 2015)

A Multi-Direction Subbands and Deep Neural Networks Bassed Pan-Sharpening Method. - Wei Huang; Xuan Fei; Junru Yin; Yan Liu (IGARSS, 2018)

Adaptive PCA transforms with geometric morphological grouping for image noise removal. - Xuan Fei; Renping Yu; Lei Li; Guicai Wang (Multim. Tools Appl., 2018)

Joint Sparse Regularization for Dictionary Learning. - Jianyu Miao; Heling Cao; Xiao-Bo Jin; Rongrong Ma; Xuan Fei; Lingfeng Niu (Cogn. Comput., 2019)

View's dependency and low-rank background-guided compressed sensing for multi-view image joint reconstruction. - Xuan Fei; Lei Li; Heling Cao; Jianyu Miao; Renping Yu (IET Image Process., 2019)

Weighted graph regularized sparse brain network construction for MCI identification. - Renping Yu; Lishan Qiao; Mingming Chen; Seong-Whan Lee; Xuan Fei; Dinggang Shen (Pattern Recognit., 2019)

Research on Low Voltage Early Warning of Distribution Network Based on Improved DNN-LSTM Algorithm. - Zeyu Zhang; Xizhong Li; Xuan Fei; Xin Cao; Qian Xu (ICBDS, 2020)

Pan-sharpening via multi-scale and multiple deep neural networks. - Wei Huang; Xuan Fei; Jingjing Feng; Hua Wang; Yan Liu; Yao Huang (Signal Process. Image Commun., 2020)

Total Variation Regularized Low-Rank Model With Directional Information for Hyperspectral Image Restoration. - Xuan Fei; Jianyu Miao; Yujuan Zhao; Wei Huang; Renping Yu (IEEE Access, 2021)

Self-paced non-convex regularized analysis-synthesis dictionary learning for unsupervised feature selection. - Jianyu Miao; Tiejun Yang; Chao Fan; Zhensong Chen 001; Xuan Fei; Xuchan Ju; Ke Wang 064; Mingliang Xu 001 (Knowl. Based Syst., 2022)

Graph regularized locally linear embedding for unsupervised feature selection. - Jianyu Miao; Tiejun Yang; Lijun Sun; Xuan Fei; Lingfeng Niu; Yong Shi 001 (Pattern Recognit., 2022)

Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction. - Renping Yu; Han Zhang 002; Xuehai Wu; Xuan Fei; Qing Yang; Zhiwei Ma; Zengxin Qi; Di Zang; Weijun Tang; Ying Mao 002; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

Multi-Graph Attention Networks With Bilinear Convolution for Diagnosis of Schizophrenia. - Renping Yu; Cong Pan; Xuan Fei; Mingming Chen; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

Lightweight-VGG: A Fast Deep Learning Architecture Based on Dimensionality Reduction and Nonlinear Enhancement for Hyperspectral Image Classification. - Xuan Fei; Sijia Wu; Jianyu Miao; Guicai Wang; Le Sun 002 (Remote. Sens., 2024)

ACDF-YOLO: Attentive and Cross-Differential Fusion Network for Multimodal Remote Sensing Object Detection. - Xuan Fei; Mengyao Guo; Yan Li 128; Renping Yu; Le Sun 002 (Remote. Sens., 2024)

LFGS: A lightweight framework for efficient 3D Gaussian Splatting with minimal memory footprint. - Ruiqi Wu; Linlin Jiao; Gang Liu; Li Zhu; Xuan Fei; Yashuang Mu; Chao Fan (Comput. Graph., 2025)