Li-Dan Kuang

According to our database, Li-Dan Kuang authored at least 28 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SiamS3C: spatial-channel cross-correlation for visual tracking with centerness-guided regression.

Jianming Zhang, Wentao Chen, Yufan He, Li-Dan Kuang, Arun Kumar Sangaiah

Multim. Syst., October, 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., February, 2024

Siamese visual tracking based on criss-cross attention and improved head network.

Jianming Zhang, Haitao Huang, Xiaokang Jin, Li-Dan Kuang, Jin Zhang

Multim. Tools Appl., January, 2024

CorrFormer: Context-aware tracking with cross-correlation and transformer.

Jian-Ming Zhang, Yufan He, Wentao Chen, Li-Dan Kuang, Bin Zheng

Comput. Electr. Eng., 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, Hao Zhu, Shiming He, Wenjun Li, Yan Gui, Jin Zhang, Jianming Zhang

Biomed. Signal Process. Control., 2024

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, Vince D. Calhoun

Biomed. Signal Process. Control., 2024

2023

Coupled canonical polyadic decomposition of multi-group fMRI data with spatial reference and orthonormality constraints.

Li-Dan Kuang, Zhi-Ming He, Jianming Zhang, Feng Li

Biomed. Signal Process. Control., 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

Proceedings of the International Joint Conference on Neural Networks, 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, Jianming Zhang

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the Neural Information Processing - 30th International Conference, 2023

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

Proceedings of the Advances in Computer Graphics, 2023

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, Vince D. Calhoun

IEEE Trans. Medical Imaging, 2022

SiamOA: siamese offset-aware object tracking.

Jianming Zhang, Xianding Xie, Zhuofan Zheng, Li-Dan Kuang, Yudong Zhang

Neural Comput. Appl., 2022

Adaptive response maps fusion of correlation filters with anti-occlusion mechanism for visual object tracking.

Jianming Zhang, Hehua Liu, Yaoqi He, Li-Dan Kuang, Xi Chen

EURASIP J. Image Video Process., 2022

Group Residual Dense Block for Key-Point Detector with One-Level Feature.

Jianming Zhang, Jiajun Tao, Li-Dan Kuang, Yan Gui

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 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, Yan Gui

Proceedings of the Neural Information Processing - 29th International Conference, 2022

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, Jianming Zhang, Wenjun Li, Feng Li, Vince D. Calhoun

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A Token-based Authentication and Key Agreement Protocol for Cloud Computing.

Zisang Xu, Jianbo Xu, Li-Dan Kuang

Proceedings of the 6th IEEE International Conference on Smart Cloud, 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

Proceedings of the Neural Information Processing - 28th International Conference, 2021

A Novel Multi-scale Key-Point Detector Using Residual Dense Block and Coordinate Attention.

Li-Dan Kuang, Jiajun Tao, Jianming Zhang, Feng Li, Xi Chen

Proceedings of the Neural Information Processing - 28th International Conference, 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

Proceedings of the IEEE International Conference on Acoustics, 2021

A Fast Authentication and Key Agreement Protocol Based on Time-Sensitive Token for Mobile Edge Computing.

Zisang Xu, Wei Liang, Jin Wang, Jianbo Xu, Li-Dan Kuang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

2020

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, Vince D. Calhoun

IEEE Trans. Medical Imaging, 2020

2019

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

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

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

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

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

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

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

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2013

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

Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013