A Generalized Chinese Remainder Theorem for Two Integers. - Li Xiao 002; Xiang-Gen Xia 001 (IEEE Signal Process. Lett., 2014)

Multi-Stage Robust Chinese Remainder Theorem. - Li Xiao 002; Xiang-Gen Xia 001; Wenjie Wang 001 (IEEE Trans. Signal Process., 2014)

A robust Chinese Remainder Theorem with applications in error correction coding. - Li Xiao 002; Xiang-Gen Xia 001 (ISIT, 2015)

A new robust Chinese remainder theorem with improved performance in frequency estimation from undersampled waveforms. - Li Xiao 002; Xiang-Gen Xia 001 (Signal Process., 2015)

New Conditions on Achieving the Maximal Possible Dynamic Range for a Generalized Chinese Remainder Theorem of Multiple Integers. - Li Xiao 002; Xiang-Gen Xia 001; Haiye Huo (IEEE Signal Process. Lett., 2015)

Error Correction in Polynomial Remainder Codes With Non-Pairwise Coprime Moduli and Robust Chinese Remainder Theorem for Polynomials. - Li Xiao 002; Xiang-Gen Xia 001 (IEEE Trans. Commun., 2015)

Radial Velocity Retrieval for Multichannel SAR Moving Targets with Time-Space Doppler De-ambiguity. - Zu-Zhen Huang; Jia Xu 001; Zhirui Wang; Li Xiao 002; Xiang-Gen Xia 001; Teng Long 001 (CoRR, 2016)

Minimum Degree-Weighted Distance Decoding for Polynomial Residue Codes with Non-Pairwise Coprime Moduli. - Li Xiao 002; Xiang-Gen Xia 001 (CoRR, 2017)

Towards Robustness in Residue Number Systems. - Li Xiao 002; Xiang-Gen Xia 001; Haiye Huo (IEEE Trans. Signal Process., 2017)

Minimum Degree-Weighted Distance Decoding for Polynomial Residue Codes With Non-Coprime Moduli. - Li Xiao 002; Xiang-Gen Xia 001 (IEEE Wirel. Commun. Lett., 2017)

New Conditions on Stable Recovery of Weighted Sparse Signals via Weighted (l1) Minimization. - Haiye Huo; Wenchang Sun; Li Xiao 002 (Circuits Syst. Signal Process., 2018)

Frequency determination from truly sub-Nyquist samplers based on robust Chinese remainder theorem. - Li Xiao 002; Xiang-Gen Xia 001 (Signal Process., 2018)

Robust Polynomial Reconstruction via Chinese Remainder Theorem in the Presence of Small Degree Residue Errors. - Li Xiao 002; Xiang-Gen Xia 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2018)

Radial Velocity Retrieval for Multichannel SAR Moving Targets With Time-Space Doppler Deambiguity. - Jia Xu 001; Zu-Zhen Huang; Zhirui Wang; Li Xiao 002; Xiang-Gen Xia 001; Teng Long 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction. - Li Xiao 002; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2019)

A graph deep learning model for the classification of groups with different IQ using resting state fMRI. - Gang Qu 002; Wenxing Hu; Li Xiao 002; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

A hypergraph learning method for brain functional connectivity network construction from fMRI data. - Li Xiao 002; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Exact and Robust Reconstruction of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT). - Li Xiao 002; Xiang-Gen Xia 001; Yu-Ping Wang 002 (CoRR, 2020)

Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM). - Aiying Zhang; Gemeng Zhang; Biao Cai; Wenxing Hu; Li Xiao 002; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (CoRR, 2020)

A Manifold Regularized Multi-Task Learning Model for IQ Prediction From Two fMRI Paradigms. - Li Xiao 002; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2020)

Causality-Based Feature Fusion for Brain Neuro-Developmental Analysis. - Peyman Hosseinzadeh Kassani; Li Xiao 002; Gemeng Zhang; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2020)

Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data. - Li Xiao 002; Junqi Wang 001; Peyman Hosseinzajeh Kassani; Yipu Zhang; Yuntong Bai; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2020)

Exact and Robust Reconstructions of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT). - Li Xiao 002; Xiang-Gen Xia 001; Yu-Ping Wang 002 (IEEE Trans. Signal Process., 2020)

Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction. - Gang Qu 002; Li Xiao 002; Wenxing Hu; Kun Zhang 012; Vince D. Calhoun; Yu-Ping Wang 002 (CoRR, 2021)

A deep autoencoder with sparse and graph Laplacian regularization for characterizing dynamic functional connectivity during brain development. - Chen Qiao; Xin-Yu Hu; Li Xiao 002; Vince D. Calhoun; Yu-Ping Wang 002 (Neurocomputing, 2021)

Multiview Diffusion Map Improves Prediction of Fluid Intelligence With Two Paradigms of fMRI Analysis. - Guixia Pan; Li Xiao 002; Yuntong Bai; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2021)

Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. - Gang Qu 002; Li Xiao 002; Wenxing Hu; Junqi Wang 001; Kun Zhang 012; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2021)

Correlation Guided Graph Learning to Estimate Functional Connectivity Patterns From fMRI Data. - Li Xiao 002; Aiying Zhang; Biao Cai; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2021)

Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study. - Yipu Zhang; Li Xiao 002; Gemeng Zhang; Biao Cai; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE J. Biomed. Health Informatics, 2021)

Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model. - Gemeng Zhang; Biao Cai; Aiying Zhang; Zhuozhuo Tu; Li Xiao 002; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (NeuroImage, 2022)

Brain Functional Connectivity Analysis via Graphical Deep Learning. - Gang Qu 002; Wenxing Hu; Li Xiao 002; Junqi Wang 001; Yuntong Bai; Beenish Patel; Kun Zhang 012; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2022)

Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies. - Li Xiao 002; Biao Cai; Gang Qu 002; Gemeng Zhang; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2022)

Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study. - Yipu Zhang; Haowei Zhang; Li Xiao 002; Yuntong Bai; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2022)

A Graph Neural Network Based Fusion of MRI-Derived Brain Network and Clinical Data for Glioblastoma Survival Prediction. - Xingcan Hu; Li Xiao 002; Yu-Ping Wang 002 (ICASSP, 2024)

Adaptive Multiview Community-Preserved Graph Convolutional Network for Multiatlas-Based Functional Connectivity Analysis. - Wei Wang 018; Xingcan Hu; Li Xiao 002; Yu-Ping Wang 002 (ICASSP, 2024)

Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies. - Gang Qu 002; Anton Orlichenko; Junqi Wang 001; Gemeng Zhang; Li Xiao 002; Aiying Zhang; Zhengming Ding; Yu-Ping Wang 002 (CoRR, 2024)

Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis. - Wei Wang 018; Li Xiao 002; Gang Qu 002; Vince D. Calhoun; Yu-Ping Wang 002; Xiaoyan Sun 001 (Medical Image Anal., 2024)

Robust Multidimentional Chinese Remainder Theorem for Integer Vector Reconstruction. - Li Xiao 002; Haiye Huo; Xiang-Gen Xia 001 (IEEE Trans. Signal Process., 2024)

Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. - Gang Qu 002; Anton Orlichenko; Junqi Wang 001; Gemeng Zhang; Li Xiao 002; Kun Zhang 012; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2024)

Recovery Conditions in Weighted Sparse Phase Retrieval via Weighted $ ell _q , (0<q le 1)$ Minimization. - Haiye Huo; Li Xiao 002 (Circuits Syst. Signal Process., 2024)