Xiaoke Hao

Orcid: 0000-0003-3281-3340

According to our database1, Xiaoke Hao authored at least 26 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Hypergraph convolutional network for longitudinal data analysis in Alzheimer's disease.
Comput. Biol. Medicine, January, 2024

IRNet-RS: image retargeting network via relative saliency.
Neural Comput. Appl., 2024

2023
Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics.
IEEE Trans. Biomed. Eng., March, 2023

Multimodal Self-Paced Locality-Preserving Learning for Diagnosis of Alzheimer's Disease.
IEEE Trans. Cogn. Dev. Syst., 2023

Machine Learning for Brain Imaging Genomics Methods: A Review.
Int. J. Autom. Comput., 2023

2022
Multi-scale gradient attention guidance and adaptive style fusion for image inpainting.
J. Vis. Commun. Image Represent., 2022

JAC-Net: Joint learning with adaptive exploration and concise attention for unsupervised domain adaptive person re-identification.
Neurocomputing, 2022

Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis.
Bioinform., 2022

Design and Practice of Multi-level Programming Experimental Teaching for Emerging Engineering Education.
Proceedings of the Computer Science and Education - 17th International Conference, 2022

2021
Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis.
IEEE Trans. Medical Imaging, 2021

Hypergraph Neural Network for Skeleton-Based Action Recognition.
IEEE Trans. Image Process., 2021

Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

2020
Hierarchical Structured Sparse Learning for Schizophrenia Identification.
Neuroinformatics, 2020

Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis.
Medical Image Anal., 2020

Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease.
Medical Image Anal., 2020

2019
Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification.
IEEE J. Biomed. Health Informatics, 2019

Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Multi-modal AD classification via self-paced latent correlation analysis.
Neurocomputing, 2019

Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease.
Bioinform., 2019

Deep Regression Neural Network for End-to-End Person Re-Identification.
IEEE Access, 2019

2017
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.
Bioinform., 2017

Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease.
Neuroinformatics, 2016

Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

2014
Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Ensemble Universum SVM Learning for Multimodal Classification of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013


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