Li Xiao

50 papers B 1Misc 2Journal 45Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
DDS-UDA: Dual-domain synergy for unsupervised domain adaptation in joint segmentation of optic disc and optic cup.
Medical Image Anal.
Yusong Xiao, Yuxuan Wu, Li Xiao, Gang Qu, Haiye Huo, Yu-Ping Wang
2026 J jnl
MLF-4DRCNet: Multi-level fusion with 4D radar and camera for 3D object detection in autonomous driving.
Inf. Fusion
Yuzhi Wu, Li Xiao, Jun Liu, Guangfeng Jiang, Xiang-Gen Xia
2026 J jnl
Mask-RadarNet: Enhancing Radar Object Detection With Spatio-Temporal Context.
IEEE Trans. Intell. Transp. Syst.
Yuzhi Wu, Jun Liu, Guangfeng Jiang, Weijian Liu, Danilo Orlando, Li Xiao
2025 J jnl
MLF-4DRCNet: Multi-Level Fusion with 4D Radar and Camera for 3D Object Detection in Autonomous Driving.
CoRR
Yuzhi Wu, Li Xiao, Jun Liu, Guangfeng Jiang, Xiang-Gen Xia
2024 Misc conf
A Graph Neural Network Based Fusion of MRI-Derived Brain Network and Clinical Data for Glioblastoma Survival Prediction.
ICASSP
Xingcan Hu, Li Xiao, Yu-Ping Wang
2024 Misc conf
Adaptive Multiview Community-Preserved Graph Convolutional Network for Multiatlas-Based Functional Connectivity Analysis.
ICASSP
Wei Wang, Xingcan Hu, Li Xiao, Yu-Ping Wang
2024 J jnl
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies.
CoRR
Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Aiying Zhang, Zhengming Ding, Yu-Ping Wang
2024 J jnl
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks.
IEEE Trans. Medical Imaging
Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Kun Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
2024 J jnl
Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis.
Medical Image Anal.
Wei Wang, Li Xiao, Gang Qu, Vince D. Calhoun, Yu-Ping Wang, Xiaoyan Sun
2024 J jnl
Recovery Conditions in Weighted Sparse Phase Retrieval via Weighted $\ell _q\, (0<q\le 1)$ Minimization.
Circuits Syst. Signal Process.
Haiye Huo, Li Xiao
2024 J jnl
Robust Multidimentional Chinese Remainder Theorem for Integer Vector Reconstruction.
IEEE Trans. Signal Process.
Li Xiao, Haiye Huo, Xiang-Gen Xia
2023 J jnl
Robust Multidimentional Chinese Remainder Theorem for Integer Vector Reconstruction.
CoRR
Li Xiao, Haiye Huo, Xiang-Gen Xia
2022 J jnl
Brain Functional Connectivity Analysis via Graphical Deep Learning.
IEEE Trans. Biomed. Eng.
Gang Qu, Wenxing Hu, Li Xiao, Junqi Wang, Yuntong Bai, Beenish Patel, Kun Zhang, Yu-Ping Wang
2022 J jnl
Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model.
NeuroImage
Gemeng Zhang, Biao Cai, Aiying Zhang, Zhuozhuo Tu, Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2022 J jnl
Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies.
IEEE Trans. Biomed. Eng.
Li Xiao, Biao Cai, Gang Qu, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2022 J jnl
Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study.
IEEE Trans. Medical Imaging
Yipu Zhang, Haowei Zhang, Li Xiao, Yuntong Bai, Vince D. Calhoun, Yu-Ping Wang
2021 J jnl
A deep autoencoder with sparse and graph Laplacian regularization for characterizing dynamic functional connectivity during brain development.
Neurocomputing
Chen Qiao, Xin-Yu Hu, Li Xiao, Vince D. Calhoun, Yu-Ping Wang
2021 J jnl
Correlation Guided Graph Learning to Estimate Functional Connectivity Patterns From fMRI Data.
IEEE Trans. Biomed. Eng.
Li Xiao, Aiying Zhang, Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2021 J jnl
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction.
IEEE Trans. Biomed. Eng.
Gang Qu, Li Xiao, Wenxing Hu, Junqi Wang, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
2021 J jnl
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction.
CoRR
Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
2021 J jnl
Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study.
IEEE J. Biomed. Health Informatics
Yipu Zhang, Li Xiao, Gemeng Zhang, Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2021 J jnl
Multiview Diffusion Map Improves Prediction of Fluid Intelligence With Two Paradigms of fMRI Analysis.
IEEE Trans. Biomed. Eng.
Guixia Pan, Li Xiao, Yuntong Bai, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
A Manifold Regularized Multi-Task Learning Model for IQ Prediction From Two fMRI Paradigms.
IEEE Trans. Biomed. Eng.
Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2020 — conf
A graph deep learning model for the classification of groups with different IQ using resting state fMRI.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Gang Qu, Wenxing Hu, Li Xiao, Yu-Ping Wang
2020 — conf
A hypergraph learning method for brain functional connectivity network construction from fMRI data.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM).
CoRR
Aiying Zhang, Gemeng Zhang, Biao Cai, Wenxing Hu, Li Xiao, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Causality based Feature Fusion for Brain Neuro-Developmental Analysis.
CoRR
Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Causality-Based Feature Fusion for Brain Neuro-Developmental Analysis.
IEEE Trans. Medical Imaging
Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Exact and Robust Reconstruction of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT).
CoRR
Li Xiao, Xiang-Gen Xia, Yu-Ping Wang
2020 J jnl
Exact and Robust Reconstructions of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT).
IEEE Trans. Signal Process.
Li Xiao, Xiang-Gen Xia, Yu-Ping Wang
2020 J jnl
Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data.
IEEE Trans. Medical Imaging
Li Xiao, Junqi Wang, Peyman Hosseinzajeh Kassani, Yipu Zhang, Yuntong Bai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2019 J jnl
Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction.
IEEE Trans. Biomed. Eng.
Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2018 J jnl
Frequency determination from truly sub-Nyquist samplers based on robust Chinese remainder theorem.
Signal Process.
Li Xiao, Xiang-Gen Xia
2018 J jnl
New Conditions on Stable Recovery of Weighted Sparse Signals via Weighted (l
Circuits Syst. Signal Process.
Haiye Huo, Wenchang Sun, Li Xiao
2018 J jnl
Radial Velocity Retrieval for Multichannel SAR Moving Targets With Time-Space Doppler Deambiguity.
IEEE Trans. Geosci. Remote. Sens.
Jia Xu, Zu-Zhen Huang, Zhirui Wang, Li Xiao, Xiang-Gen Xia, Teng Long
2018 J jnl
Robust Polynomial Reconstruction via Chinese Remainder Theorem in the Presence of Small Degree Residue Errors.
IEEE Trans. Circuits Syst. II Express Briefs
Li Xiao, Xiang-Gen Xia
2017 J jnl
Minimum Degree-Weighted Distance Decoding for Polynomial Residue Codes With Non-Coprime Moduli.
IEEE Wirel. Commun. Lett.
Li Xiao, Xiang-Gen Xia
2017 J jnl
Minimum Degree-Weighted Distance Decoding for Polynomial Residue Codes with Non-Pairwise Coprime Moduli.
CoRR
Li Xiao, Xiang-Gen Xia
2017 J jnl
Robust Polynomial Reconstruction via Chinese Remainder Theorem in the Presence of Small Degree Residue Errors.
CoRR
Li Xiao, Xiang-Gen Xia
2017 J jnl
Towards Robustness in Residue Number Systems.
IEEE Trans. Signal Process.
Li Xiao, Xiang-Gen Xia, Haiye Huo
2016 J jnl
Radial Velocity Retrieval for Multichannel SAR Moving Targets with Time-Space Doppler De-ambiguity.
CoRR
Zu-Zhen Huang, Jia Xu, Zhirui Wang, Li Xiao, Xiang-Gen Xia, Teng Long
2016 J jnl
Towards Robustness in Residue Number Systems.
CoRR
Li Xiao, Xiang-Gen Xia, Haiye Huo
2015 J jnl
A new robust Chinese remainder theorem with improved performance in frequency estimation from undersampled waveforms.
Signal Process.
Li Xiao, Xiang-Gen Xia
2015 B conf
A robust Chinese Remainder Theorem with applications in error correction coding.
ISIT
Li Xiao, Xiang-Gen Xia
2015 J jnl
Error Correction in Polynomial Remainder Codes With Non-Pairwise Coprime Moduli and Robust Chinese Remainder Theorem for Polynomials.
IEEE Trans. Commun.
Li Xiao, Xiang-Gen Xia
2015 J jnl
Error Correction in Polynomial Remainder Codes with Non-Pairwise Coprime Moduli and Robust Chinese Remainder Theorem for Polynomials.
CoRR
Li Xiao, Xiang-Gen Xia
2015 J jnl
New Conditions on Achieving the Maximal Possible Dynamic Range for a Generalized Chinese Remainder Theorem of Multiple Integers.
IEEE Signal Process. Lett.
Li Xiao, Xiang-Gen Xia, Haiye Huo
2014 J jnl
A Generalized Chinese Remainder Theorem for Two Integers.
IEEE Signal Process. Lett.
Li Xiao, Xiang-Gen Xia
2014 J jnl
Multi-Stage Robust Chinese Remainder Theorem.
IEEE Trans. Signal Process.
Li Xiao, Xiang-Gen Xia, Wenjie Wang
2013 J jnl
Multi-Stage Robust Chinese Remainder Theorem
CoRR
Li Xiao, Xiang-Gen Xia, Wenjie Wang