Xiaohui Yao
Orcid: 0000-0002-8530-7989
According to our database1,
Xiaohui Yao
authored at least 53 papers
between 2010 and 2024.
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Bibliography
2024
GREMI: An Explainable Multi-Omics Integration Framework for Enhanced Disease Prediction and Module Identification.
IEEE J. Biomed. Health Informatics, November, 2024
Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics Data.
CoRR, 2024
BioData Min., 2024
2023
Feature Fusion Based on Graph Convolution Network for Modulation Classification in Underwater Communication.
Entropy, July, 2023
Automatic Modulation Classification for Underwater Acoustic Communication Signals Based on Deep Complex Networks.
Entropy, February, 2023
2022
Intell. Decis. Technol., 2022
Intell. Decis. Technol., 2022
Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment.
BMC Bioinform., 2022
2021
Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
2020
Mining and visualizing high-order directional drug interaction effects using the FAERS database.
BMC Medical Informatics Decis. Mak., March, 2020
Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method.
IEEE Trans. Medical Imaging, 2020
Ship Type Classification by Convolutional Neural Networks with Auditory-Like Mechanisms.
Sensors, 2020
Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data.
BMC Medical Informatics Decis. Mak., 2020
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease.
Medical Image Anal., 2020
Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach.
Medical Image Anal., 2020
Risk assessment and comparison of regional natural disasters in China using clustering.
Intell. Decis. Technol., 2020
Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
CoRR, 2020
Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification.
Bioinform., 2020
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes.
Proceedings of the AMIA 2020, 2020
2019
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
Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort.
Bioinform., 2019
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
Sensors, 2018
Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model.
J. Comput. Biol., 2018
A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics.
Bioinform., 2018
Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the Human Aspects of IT for the Aged Population. Applications in Health, Assistance, and Entertainment, 2018
Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Two-dimensional enrichment analysis for mining high-level imaging genetic associations.
Brain Informatics, 2017
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.
Bioinform., 2017
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.
Bioinform., 2017
Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model.
Proceedings of the Research in Computational Molecular Biology, 2017
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017
Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach.
Proceedings of the Information Processing in Medical Imaging, 2017
Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules.
Proceedings of the 2017 IEEE International Conference on Acoustics, 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
Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
2013
FNphasing: A Novel Fast Heuristic Algorithm for Haplotype Phasing Based on Flow Network Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
2011
A Faster Haplotyping Algorithm Based on Block Partition, and Greedy Ligation Strategy.
Proceedings of the Bio-Inspired Computing and Applications, 2011
2010
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010