Xiaoke Hao
Orcid: 0000-0003-3281-3340
According to our database1,
Xiaoke Hao
authored at least 30 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Reducing semantic ambiguity in domain adaptive semantic segmentation via probabilistic prototypical pixel contrast.
Neural Networks, 2025
2024
Multim. Tools Appl., May, 2024
Hypergraph convolutional network for longitudinal data analysis in Alzheimer's disease.
Comput. Biol. Medicine, January, 2024
Progressive Mask Transformer With Edge Enhancement for Image Manipulation Localization.
IEEE Signal Process. Lett., 2024
Neural Comput. Appl., 2024
A Framework on Imaging and Phenotype Information Hierarchical Graph Convolutional Networks for Identification of Autism Spectrum Disorder.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 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
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
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
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
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
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