Li-Dan Kuang
Orcid: 0000-0002-0704-8950
According to our database1,
Li-Dan Kuang
authored at least 24 papers
between 2013 and 2024.
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Bibliography
2024
Neural Process. Lett., February, 2024
Multim. Tools Appl., January, 2024
2023
Coupled canonical polyadic decomposition of multi-group fMRI data with spatial reference and orthonormality constraints.
Biomed. Signal Process. Control., 2023
Incorporating Spatial Sparsity Constraint into Complex IVA of Multi-subject Complex-Valued fMRI Data.
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.
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.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Enhancing Image Rescaling Using High Frequency Guidance and Attentions in Downscaling and Upscaling Network.
Proceedings of the Advances in Computer Graphics, 2023
2022
Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint.
IEEE Trans. Medical Imaging, 2022
Adaptive response maps fusion of correlation filters with anti-occlusion mechanism for visual object tracking.
EURASIP J. Image Video Process., 2022
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.
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.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
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.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
A Novel Multi-scale Key-Point Detector Using Residual Dense Block and Coordinate Attention.
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.
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.
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.
IEEE Trans. Medical Imaging, 2020
2019
Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
2017
Model order effects on independent vector analysis applied to complex-valued fMRI data.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
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.
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.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013