Li Xiao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 36

Top Topics

Functional Connectivity

Graph Laplacian

Chinese Remainder Theorem

Top Venues

IEEE Trans. Biomed. Eng.

IEEE Trans. Medical Imaging

IEEE Trans. Signal Process.

Publications

Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Kun Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. IEEE Trans. Medical Imaging 43 (4) (2024)
Haiye Huo, Li Xiao
Recovery Conditions in Weighted Sparse Phase Retrieval via Weighted $\ell _q\, (0<q\le 1)$ Minimization. Circuits Syst. Signal Process. 43 (9) (2024)
Li Xiao, Haiye Huo, Xiang-Gen Xia
Robust Multidimentional Chinese Remainder Theorem for Integer Vector Reconstruction. IEEE Trans. Signal Process. 72 (2024)
Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Aiying Zhang, Zhengming Ding, Yu-Ping Wang
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies. CoRR (2024)
Wei Wang, Li Xiao, Gang Qu, Vince D. Calhoun, Yu-Ping Wang, Xiaoyan Sun
Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis. Medical Image Anal. 94 (2024)
Li Xiao, Haiye Huo, Xiang-Gen Xia
Robust Multidimentional Chinese Remainder Theorem for Integer Vector Reconstruction. CoRR (2023)
Gang Qu, Wenxing Hu, Li Xiao, Junqi Wang, Yuntong Bai, Beenish Patel, Kun Zhang, Yu-Ping Wang
Brain Functional Connectivity Analysis via Graphical Deep Learning. IEEE Trans. Biomed. Eng. 69 (5) (2022)
Gemeng Zhang, Biao Cai, Aiying Zhang, Zhuozhuo Tu, Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model. NeuroImage 260 (2022)
Li Xiao, Biao Cai, Gang Qu, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies. IEEE Trans. Biomed. Eng. 69 (10) (2022)
Yipu Zhang, Haowei Zhang, Li Xiao, Yuntong Bai, Vince D. Calhoun, Yu-Ping Wang
Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study. IEEE Trans. Medical Imaging 41 (9) (2022)
Gang Qu, Li Xiao, Wenxing Hu, Junqi Wang, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. IEEE Trans. Biomed. Eng. 68 (12) (2021)
Guixia Pan, Li Xiao, Yuntong Bai, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Multiview Diffusion Map Improves Prediction of Fluid Intelligence With Two Paradigms of fMRI Analysis. IEEE Trans. Biomed. Eng. 68 (8) (2021)
Li Xiao, Aiying Zhang, Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Correlation Guided Graph Learning to Estimate Functional Connectivity Patterns From fMRI Data. IEEE Trans. Biomed. Eng. 68 (4) (2021)
Chen Qiao, Xin-Yu Hu, Li Xiao, Vince D. Calhoun, Yu-Ping Wang
A deep autoencoder with sparse and graph Laplacian regularization for characterizing dynamic functional connectivity during brain development. Neurocomputing 456 (2021)
Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction. CoRR (2021)
Yipu Zhang, Li Xiao, Gemeng Zhang, Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study. IEEE J. Biomed. Health Informatics 25 (5) (2021)
Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Causality based Feature Fusion for Brain Neuro-Developmental Analysis. CoRR (2020)
Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
A hypergraph learning method for brain functional connectivity network construction from fMRI data. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Causality-Based Feature Fusion for Brain Neuro-Developmental Analysis. IEEE Trans. Medical Imaging 39 (11) (2020)
Gang Qu, Wenxing Hu, Li Xiao, Yu-Ping Wang
A graph deep learning model for the classification of groups with different IQ using resting state fMRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
A Manifold Regularized Multi-Task Learning Model for IQ Prediction From Two fMRI Paradigms. IEEE Trans. Biomed. Eng. 67 (3) (2020)
Li Xiao, Junqi Wang, Peyman Hosseinzajeh Kassani, Yipu Zhang, Yuntong Bai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data. IEEE Trans. Medical Imaging 39 (5) (2020)
Li Xiao, Xiang-Gen Xia, Yu-Ping Wang
Exact and Robust Reconstructions of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT). IEEE Trans. Signal Process. 68 (2020)
Li Xiao, Xiang-Gen Xia, Yu-Ping Wang
Exact and Robust Reconstruction of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT). CoRR (2020)
Aiying Zhang, Gemeng Zhang, Biao Cai, Wenxing Hu, Li Xiao, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM). CoRR (2020)
Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction. IEEE Trans. Biomed. Eng. 66 (8) (2019)
Li Xiao, Xiang-Gen Xia
Robust Polynomial Reconstruction via Chinese Remainder Theorem in the Presence of Small Degree Residue Errors. IEEE Trans. Circuits Syst. II Express Briefs (11) (2018)
Jia Xu, Zu-Zhen Huang, Zhirui Wang, Li Xiao, Xiang-Gen Xia, Teng Long
Radial Velocity Retrieval for Multichannel SAR Moving Targets With Time-Space Doppler Deambiguity. IEEE Trans. Geosci. Remote. Sens. 56 (1) (2018)
Haiye Huo, Wenchang Sun, Li Xiao
) Minimization. Circuits Syst. Signal Process. 37 (7) (2018)
Li Xiao, Xiang-Gen Xia
Frequency determination from truly sub-Nyquist samplers based on robust Chinese remainder theorem. Signal Process. 150 (2018)
Li Xiao, Xiang-Gen Xia
Minimum Degree-Weighted Distance Decoding for Polynomial Residue Codes with Non-Pairwise Coprime Moduli. CoRR (2017)
Li Xiao, Xiang-Gen Xia, Haiye Huo
Towards Robustness in Residue Number Systems. IEEE Trans. Signal Process. 65 (6) (2017)
Li Xiao, Xiang-Gen Xia
Minimum Degree-Weighted Distance Decoding for Polynomial Residue Codes With Non-Coprime Moduli. IEEE Wirel. Commun. Lett. 6 (4) (2017)
Li Xiao, Xiang-Gen Xia
Robust Polynomial Reconstruction via Chinese Remainder Theorem in the Presence of Small Degree Residue Errors. CoRR (2017)
Zu-Zhen Huang, Jia Xu, Zhirui Wang, Li Xiao, Xiang-Gen Xia, Teng Long
Radial Velocity Retrieval for Multichannel SAR Moving Targets with Time-Space Doppler De-ambiguity. CoRR (2016)
Li Xiao, Xiang-Gen Xia, Haiye Huo
Towards Robustness in Residue Number Systems. CoRR (2016)
Li Xiao, Xiang-Gen Xia
A new robust Chinese remainder theorem with improved performance in frequency estimation from undersampled waveforms. Signal Process. 117 (2015)
Li Xiao, Xiang-Gen Xia
Error Correction in Polynomial Remainder Codes With Non-Pairwise Coprime Moduli and Robust Chinese Remainder Theorem for Polynomials. IEEE Trans. Commun. 63 (3) (2015)
Li Xiao, Xiang-Gen Xia, Haiye Huo
New Conditions on Achieving the Maximal Possible Dynamic Range for a Generalized Chinese Remainder Theorem of Multiple Integers. IEEE Signal Process. Lett. 22 (12) (2015)
Li Xiao, Xiang-Gen Xia
Error Correction in Polynomial Remainder Codes with Non-Pairwise Coprime Moduli and Robust Chinese Remainder Theorem for Polynomials. CoRR (2015)
Li Xiao, Xiang-Gen Xia
A robust Chinese Remainder Theorem with applications in error correction coding. ISIT (2015)
Li Xiao, Xiang-Gen Xia
A Generalized Chinese Remainder Theorem for Two Integers. IEEE Signal Process. Lett. 21 (1) (2014)
Li Xiao, Xiang-Gen Xia, Wenjie Wang
Multi-Stage Robust Chinese Remainder Theorem. IEEE Trans. Signal Process. 62 (18) (2014)
Li Xiao, Xiang-Gen Xia, Wenjie Wang
Multi-Stage Robust Chinese Remainder Theorem CoRR (2013)