Xiaohui Yao

Orcid: 0000-0002-8530-7989

According to our database1, Xiaohui Yao authored at least 50 papers between 2010 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder.
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
Cause analysis of construction safety accidents in China using association rules.
Intell. Decis. Technol., 2022

Assessment and clustering of temporal disaster risk: Two case studies of China.
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

Regional imaging genetic enrichment analysis.
Bioinform., 2020

Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification.
Bioinform., 2020

Deep Multiview Learning to Identify Population Structure with Multimodal Imaging.
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
Mining Directional Drug Interaction Effects on Myopathy Using the FAERS Database.
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

Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics.
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

Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis.
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
Competitive Deep-Belief Networks for Underwater Acoustic Target Recognition.
Sensors, 2018

GPU Accelerated Browser for Neuroimaging Genomics.
Neuroinformatics, 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

Detecting Parkinson's Disease Using Gait Analysis with Particle Swarm Optimization.
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

Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm.
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics.
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
Privacy-preserving LOF outlier detection.
Knowl. Inf. Syst., 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
Xor Perfect Phylogeny Haplotyping in Pedigrees.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010

An EM method based on entropy LD block partition for haplotype inference.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010


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