Multi-subject fMRI data analysis: Shift-invariant tensor factorization vs. group independent component analysis. - Li-Dan Kuang; Qiu-Hua Lin; Xiao-Feng Gong; Jing Fan; Fengyu Cong; Vince D. Calhoun (ChinaSIP, 2013)

An adaptive fixed-point IVA algorithm applied to multi-subject complex-valued FMRI data. - Li-Dan Kuang; Qiu-Hua Lin; Xiao-Feng Gong; Fengyu Cong; Vince D. Calhoun (ICASSP, 2016)

Post-ICA phase de-noising for resting-state complex-valued FMRI data. - Li-Dan Kuang; Qiu-Hua Lin; Xiao-Feng Gong; Fengyu Cong; Vince D. Calhoun (ICASSP, 2017)

Model order effects on independent vector analysis applied to complex-valued fMRI data. - Li-Dan Kuang; Qiu-Hua Lin; Xiao-Feng Gong; Yong-Gang Chen; Fengyu Cong; Vince D. Calhoun (ISBI, 2017)

Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks. - Yue Qiu; Qiu-Hua Lin; Li-Dan Kuang; Wen-Da Zhao; Xiao-Feng Gong; Fengyu Cong; Vince D. Calhoun (ISNN (2), 2019)

Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data With a Phase Sparsity Constraint. - Li-Dan Kuang; Qiu-Hua Lin; Xiao-Feng Gong; Fengyu Cong; Yu-Ping Wang 002; Vince D. Calhoun (IEEE Trans. Medical Imaging, 2020)

A Fast Authentication and Key Agreement Protocol Based on Time-Sensitive Token for Mobile Edge Computing. - Zisang Xu; Wei Liang 005; Jin Wang 001; Jianbo Xu; Li-Dan Kuang (ICA3PP (3), 2021)

Tucker Decomposition for Extracting Shared and Individual Spatial Maps from Multi-Subject Resting-State fMRI Data. - Yue Han; Qiu-Hua Lin; Li-Dan Kuang; Xiao-Feng Gong; Fengyu Cong; Vince D. Calhoun (ICASSP, 2021)

A Novel Multi-scale Key-Point Detector Using Residual Dense Block and Coordinate Attention. - Li-Dan Kuang; Jiajun Tao; Jianming Zhang 003; Feng Li 065; Xi Chen (ICONIP (3), 2021)

Marginal Spectrum Modulated Hilbert-Huang Transform: Application to Time Courses Extracted by Independent Vector Analysis of Resting-State fMRI Data. - Wei-Xing Li; Chao-Ying Zhang; Li-Dan Kuang; Yue Han; Huan-Jie Li; Qiu-Hua Lin; Vince D. Calhoun (ICONIP (6), 2021)

A Token-based Authentication and Key Agreement Protocol for Cloud Computing. - Zisang Xu; Jianbo Xu; Li-Dan Kuang (SmartCloud, 2021)

An Accelerated Rank-(L, L, 1, 1) Block Term Decomposition Of Multi-Subject Fmri Data Under Spatial Orthonormality Constraint. - Li-Dan Kuang; Biao Wang; Qiu-Hua Lin; Haopeng Zhang 010; Jianming Zhang 003; Wenjun Li; Feng Li 065; Vince D. Calhoun (ICASSP, 2022)

Optimizing pcsCPD with Alternating Rank-R and Rank-1 Least Squares: Application to Complex-Valued Multi-subject fMRI Data. - Li-Dan Kuang; Wenjun Li 001; Yan Gui (ICONIP (5), 2022)

Group Residual Dense Block for Key-Point Detector with One-Level Feature. - Jianming Zhang 003; Jiajun Tao; Li-Dan Kuang; Yan Gui (PRICAI (2), 2022)

Adaptive response maps fusion of correlation filters with anti-occlusion mechanism for visual object tracking. - Jianming Zhang 003; Hehua Liu; Yaoqi He; Li-Dan Kuang; Xi Chen (EURASIP J. Image Video Process., 2022)

SiamOA: siamese offset-aware object tracking. - Jianming Zhang 003; Xianding Xie; Zhuofan Zheng; Li-Dan Kuang; Yudong Zhang 001 (Neural Comput. Appl., 2022)

Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint. - Yue Han; Qiu-Hua Lin; Li-Dan Kuang; Xiao-Feng Gong; Fengyu Cong; Yu-Ping Wang 002; Vince D. Calhoun (IEEE Trans. Medical Imaging, 2022)

Enhancing Image Rescaling Using High Frequency Guidance and Attentions in Downscaling and Upscaling Network. - Yan Gui; Yan Xie; Li-Dan Kuang; Zhihua Chen; Jin Zhang (CGI (1), 2023)

Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-subject FMRI Data: Application to Schizophrenia. - Yue Han; Qiu-Hua Lin; Li-Dan Kuang; Ying-Guang Hao; Wei-Xing Li; Xiao-Feng Gong; Vince D. Calhoun (ICONIP (9), 2023)

Weighted Spatial Pooling Preprocessing for Rank- ($L, L, 1,1$) BTD with Orthonormality: Application to Multi-Subject fMRI Data. - Li-Dan Kuang; Hao-Peng Zhang 010; Jianming Zhang 003 (IJCNN, 2023)

Incorporating Spatial Sparsity Constraint into Complex IVA of Multi-subject Complex-Valued fMRI Data. - Chao-Ying Zhang; Wei-Xing Li; Li-Dan Kuang; Qiu-Hua Lin (IJCNN, 2023)

Coupled canonical polyadic decomposition of multi-group fMRI data with spatial reference and orthonormality constraints. - Li-Dan Kuang; Zhi-Ming He; Jianming Zhang 003; Feng Li 065 (Biomed. Signal Process. Control., 2023)

A core tensor sparsity enhancement method for solving Tucker-2 model of multi-subject fMRI data. - Yue Han; Qiu-Hua Lin; Li-Dan Kuang; Bin-Hua Zhao; Xiao-Feng Gong; Fengyu Cong; Yu-Ping Wang 002; Vince D. Calhoun (Biomed. Signal Process. Control., 2024)

Shift-invariant rank-(L, L, 1, 1) BTD with 3D spatial pooling and orthonormalization: Application to multi-subject fMRI data. - Li-Dan Kuang; Hao-Peng Zhang 010; Hao Zhu; Shiming He; Wenjun Li; Yan Gui; Jin Zhang 018; Jianming Zhang 003 (Biomed. Signal Process. Control., 2024)

CorrFormer: Context-aware tracking with cross-correlation and transformer. - Jian-Ming Zhang 003; Yufan He; Wentao Chen; Li-Dan Kuang; Bin Zheng (Comput. Electr. Eng., 2024)

Siamese visual tracking based on criss-cross attention and improved head network. - Jianming Zhang 003; Haitao Huang; Xiaokang Jin; Li-Dan Kuang; Jin Zhang 018 (Multim. Tools Appl., 2024)

Hybrid Prompt Recommendation Explanation Generation combined with Graph Encoder. - Tianhao Wang; Sheng Wu; Fen Yi; Li-Dan Kuang; You Wang; Jin Zhang (Neural Process. Lett., 2024)

SiamS3C: spatial-channel cross-correlation for visual tracking with centerness-guided regression. - Jianming Zhang 003; Wentao Chen; Yufan He; Li-Dan Kuang; Arun Kumar Sangaiah (Multim. Syst., 2024)

Lightweight structure-guided network with hydra interaction attention and global-local gating mechanism for high-resolution image inpainting. - Yan Gui; Yaning Liu; Chen Yan; Li-Dan Kuang; Zhihua Chen (Expert Syst. Appl., 2025)

Constrained coupled CPD of complex-valued multi-slice multi-subject fMRI data. - Li-Dan Kuang; Hao Zhu; Lei Long; Ting Tang; Yan Gui; Jin Zhang 018 (Signal Process., 2025)

PSFE-YOLO: a traffic sign detection algorithm with pixel-wise spatial feature enhancement. - Jianming Zhang 003; Zulou Wang; Yao Yi; Li-Dan Kuang; Jin Zhang 018 (Pattern Anal. Appl., 2025)