Li Xiao
Orcid: 0000-0001-7108-8378Affiliations:
- University of Delaware, Department of Electrical and Computer Engineering, Newark, DE, USA
According to our database1,
Li Xiao
authored at least 36 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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on orcid.org
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Bibliography
2024
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks.
IEEE Trans. Medical Imaging, April, 2024
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies.
CoRR, 2024
2023
CoRR, 2023
2022
Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study.
IEEE Trans. Medical Imaging, 2022
Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies.
IEEE Trans. Biomed. Eng., 2022
IEEE Trans. Biomed. Eng., 2022
Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model.
NeuroImage, 2022
2021
Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study.
IEEE J. Biomed. Health Informatics, 2021
Correlation Guided Graph Learning to Estimate Functional Connectivity Patterns From fMRI Data.
IEEE Trans. Biomed. Eng., 2021
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction.
IEEE Trans. Biomed. Eng., 2021
Multiview Diffusion Map Improves Prediction of Fluid Intelligence With Two Paradigms of fMRI Analysis.
IEEE Trans. Biomed. Eng., 2021
A deep autoencoder with sparse and graph Laplacian regularization for characterizing dynamic functional connectivity during brain development.
Neurocomputing, 2021
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction.
CoRR, 2021
2020
Exact and Robust Reconstructions of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT).
IEEE Trans. Signal Process., 2020
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
A Manifold Regularized Multi-Task Learning Model for IQ Prediction From Two fMRI Paradigms.
IEEE Trans. Biomed. Eng., 2020
Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM).
CoRR, 2020
Exact and Robust Reconstruction of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT).
CoRR, 2020
A hypergraph learning method for brain functional connectivity network construction from fMRI data.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
A graph deep learning model for the classification of groups with different IQ using resting state fMRI.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
2019
Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction.
IEEE Trans. Biomed. Eng., 2019
2018
Radial Velocity Retrieval for Multichannel SAR Moving Targets With Time-Space Doppler Deambiguity.
IEEE Trans. Geosci. Remote. Sens., 2018
Robust Polynomial Reconstruction via Chinese Remainder Theorem in the Presence of Small Degree Residue Errors.
IEEE Trans. Circuits Syst. II Express Briefs, 2018
Frequency determination from truly sub-Nyquist samplers based on robust Chinese remainder theorem.
Signal Process., 2018
New Conditions on Stable Recovery of Weighted Sparse Signals via Weighted (l<sub>1</sub>) Minimization.
Circuits Syst. Signal Process., 2018
2017
Minimum Degree-Weighted Distance Decoding for Polynomial Residue Codes With Non-Coprime Moduli.
IEEE Wirel. Commun. Lett., 2017
Minimum Degree-Weighted Distance Decoding for Polynomial Residue Codes with Non-Pairwise Coprime Moduli.
CoRR, 2017
2016
Radial Velocity Retrieval for Multichannel SAR Moving Targets with Time-Space Doppler De-ambiguity.
CoRR, 2016
2015
Error Correction in Polynomial Remainder Codes With Non-Pairwise Coprime Moduli and Robust Chinese Remainder Theorem for Polynomials.
IEEE Trans. Commun., 2015
New Conditions on Achieving the Maximal Possible Dynamic Range for a Generalized Chinese Remainder Theorem of Multiple Integers.
IEEE Signal Process. Lett., 2015
A new robust Chinese remainder theorem with improved performance in frequency estimation from undersampled waveforms.
Signal Process., 2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
2014
IEEE Signal Process. Lett., 2014