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2020 – today
- 2024
[j11]Li-Dan Kuang, Hao-Peng Zhang, Hao Zhu, Shiming He, Wenjun Li, Yan Gui
, Jin Zhang, Jianming Zhang:
Shift-invariant rank-(L, L, 1, 1) BTD with 3D spatial pooling and orthonormalization: Application to multi-subject fMRI data. Biomed. Signal Process. Control. 92: 106058 (2024)- [j10]Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Bin-Hua Zhao, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun:
A core tensor sparsity enhancement method for solving Tucker-2 model of multi-subject fMRI data. Biomed. Signal Process. Control. 95: 106471 (2024) - [j9]Jian-Ming Zhang, Yufan He, Wentao Chen, Li-Dan Kuang, Bin Zheng:
CorrFormer: Context-aware tracking with cross-correlation and transformer. Comput. Electr. Eng. 114: 109075 (2024) - [j8]Jianming Zhang, Wentao Chen, Yufan He, Li-Dan Kuang, Arun Kumar Sangaiah:
SiamS3C: spatial-channel cross-correlation for visual tracking with centerness-guided regression. Multim. Syst. 30(5): 251 (2024) - [j7]Jianming Zhang, Haitao Huang, Xiaokang Jin, Li-Dan Kuang, Jin Zhang:
Siamese visual tracking based on criss-cross attention and improved head network. Multim. Tools Appl. 83(1): 1589-1615 (2024) - [j6]Tianhao Wang, Sheng Wu, Fen Yi, Li-Dan Kuang, You Wang, Jin Zhang:
Hybrid Prompt Recommendation Explanation Generation combined with Graph Encoder. Neural Process. Lett. 56(1): 32 (2024) - 2023
- [j5]Li-Dan Kuang, Zhi-Ming He, Jianming Zhang, Feng Li:
Coupled canonical polyadic decomposition of multi-group fMRI data with spatial reference and orthonormality constraints. Biomed. Signal Process. Control. 80(Part): 104232 (2023) - [c17]Yan Gui, Yan Xie, Li-Dan Kuang, Zhihua Chen, Jin Zhang:
Enhancing Image Rescaling Using High Frequency Guidance and Attentions in Downscaling and Upscaling Network. CGI (1) 2023: 427-439 - [c16]Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Ying-Guang Hao, Wei-Xing Li, Xiao-Feng Gong, Vince D. Calhoun:
Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-subject FMRI Data: Application to Schizophrenia. ICONIP (9) 2023: 518-527 - [c15]Li-Dan Kuang, Hao-Peng Zhang, Jianming Zhang:
Weighted Spatial Pooling Preprocessing for Rank- ($L, L, 1,1$) BTD with Orthonormality: Application to Multi-Subject fMRI Data. IJCNN 2023: 1-7 - [c14]Chao-Ying Zhang, Wei-Xing Li, Li-Dan Kuang, Qiu-Hua Lin:
Incorporating Spatial Sparsity Constraint into Complex IVA of Multi-subject Complex-Valued fMRI Data. IJCNN 2023: 1-6 - 2022
- [j4]Jianming Zhang, Hehua Liu, Yaoqi He, Li-Dan Kuang, Xi Chen:
Adaptive response maps fusion of correlation filters with anti-occlusion mechanism for visual object tracking. EURASIP J. Image Video Process. 2022(1): 4 (2022) - [j3]Jianming Zhang, Xianding Xie, Zhuofan Zheng, Li-Dan Kuang, Yudong Zhang:
SiamOA: siamese offset-aware object tracking. Neural Comput. Appl. 34(24): 22223-22239 (2022) - [j2]Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun:
Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint. IEEE Trans. Medical Imaging 41(3): 667-679 (2022) - [c13]Li-Dan Kuang, Biao Wang, Qiu-Hua Lin, Haopeng Zhang, Jianming Zhang, Wenjun Li, Feng Li, Vince D. Calhoun:
An Accelerated Rank-(L, L, 1, 1) Block Term Decomposition Of Multi-Subject Fmri Data Under Spatial Orthonormality Constraint. ICASSP 2022: 3933-3937 - [c12]Li-Dan Kuang, Wenjun Li, Yan Gui:
Optimizing pcsCPD with Alternating Rank-R and Rank-1 Least Squares: Application to Complex-Valued Multi-subject fMRI Data. ICONIP (5) 2022: 290-302 - [c11]Jianming Zhang, Jiajun Tao, Li-Dan Kuang, Yan Gui:
Group Residual Dense Block for Key-Point Detector with One-Level Feature. PRICAI (2) 2022: 525-539 - 2021
- [c10]Zisang Xu, Wei Liang, Jin Wang, Jianbo Xu, Li-Dan Kuang:
A Fast Authentication and Key Agreement Protocol Based on Time-Sensitive Token for Mobile Edge Computing. ICA3PP (3) 2021: 632-647 - [c9]Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun:
Tucker Decomposition for Extracting Shared and Individual Spatial Maps from Multi-Subject Resting-State fMRI Data. ICASSP 2021: 1110-1114 - [c8]Li-Dan Kuang, Jiajun Tao, Jianming Zhang, Feng Li, Xi Chen:
A Novel Multi-scale Key-Point Detector Using Residual Dense Block and Coordinate Attention. ICONIP (3) 2021: 235-246 - [c7]Wei-Xing Li, Chao-Ying Zhang, Li-Dan Kuang, Yue Han, Huan-Jie Li, Qiu-Hua Lin, Vince D. Calhoun:
Marginal Spectrum Modulated Hilbert-Huang Transform: Application to Time Courses Extracted by Independent Vector Analysis of Resting-State fMRI Data. ICONIP (6) 2021: 299-306 - [c6]Zisang Xu, Jianbo Xu, Li-Dan Kuang:
A Token-based Authentication and Key Agreement Protocol for Cloud Computing. SmartCloud 2021: 38-43 - 2020
- [j1]Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun:
Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data With a Phase Sparsity Constraint. IEEE Trans. Medical Imaging 39(4): 844-853 (2020)
2010 – 2019
- 2019
- [c5]Yue Qiu, Qiu-Hua Lin, Li-Dan Kuang, Wen-Da Zhao, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun:
Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks. ISNN (2) 2019: 540-547 - 2017
- [c4]Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun:
Post-ICA phase de-noising for resting-state complex-valued FMRI data. ICASSP 2017: 856-860 - [c3]Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Yong-Gang Chen, Fengyu Cong, Vince D. Calhoun:
Model order effects on independent vector analysis applied to complex-valued fMRI data. ISBI 2017: 81-84 - 2016
- [c2]Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun:
An adaptive fixed-point IVA algorithm applied to multi-subject complex-valued FMRI data. ICASSP 2016: 714-718 - 2013
- [c1]Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Jing Fan, Fengyu Cong, Vince D. Calhoun:
Multi-subject fMRI data analysis: Shift-invariant tensor factorization vs. group independent component analysis. ChinaSIP 2013: 269-272
Coauthor Index
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