Xiaohui Yao

60 papers B 2C 1Misc 3Journal 35Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Mutual learning for joint disease detection and severity prediction reveals multimodal pathogenesis for neurodegenerative disorders.
Bioinform.
Jin Zhang, Yixin Ji, Jinhua Liu, Wenrui Cui, Xiaohui Yao, Hongdong Li, Daoqiang Zhang, Alzheimer's Disease Neuroimaging Initiative
2025 — conf
DC-GCE Loss: Robust Medical Image Classification Under Label Noise.
BIBM
Chaoyi Ke, Yuhang Sun, Weihao Xia, Xiangyu Ma, Xiaohui Yao, Shan Cong, James Lo, Huachuan Wang
2024 B conf
DDASR: Domain-Distance Adapted Super-Resolution Reconstruction of MR Brain Images.
SMC
Shan Cong, Kailong Cui, Yuzun Yang, Yang Zhou, Xinxin Wang, Haoran Luo, Yichi Zhang, Xiaohui Yao
2024 J jnl
GREMI: An Explainable Multi-Omics Integration Framework for Enhanced Disease Prediction and Module Identification.
IEEE J. Biomed. Health Informatics
Hong Liang, Haoran Luo, Zhiling Sang, Miao Jia, Xiaohan Jiang, Zheng Wang, Shan Cong, Xiaohui Yao
2024 J jnl
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder.
BioData Min.
Xiaohui Yao, Xiaohan Jiang, Haoran Luo, Hong Liang, Xiufen Ye, Yanhui Wei, Shan Cong
2024 — conf
MVKTrans: Multi-View Knowledge Transfer for Robust Multiomics Classification.
BIBM
Shan Cong, Zhiling Sang, Hongwei Liu, Haoran Luo, Xin Wang, Hong Liang, Jie Hao, Xiaohui Yao
2024 J jnl
MVKTrans: Multi-View Knowledge Transfer for Robust Multiomics Classification.
CoRR
Shan Cong, Zhiling Sang, Hongwei Liu, Haoran Luo, Xin Wang, Hong Liang, Jie Hao, Xiaohui Yao
2024 — conf
Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics Data.
BIBM
Shan Cong, Zhoujie Fan, Hongwei Liu, Yinghan Zhang, Xin Wang, Haoran Luo, Xiaohui Yao
2024 J jnl
Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics Data.
CoRR
Shan Cong, Zhoujie Fan, Hongwei Liu, Yinghan Zhang, Xin Wang, Haoran Luo, Xiaohui Yao
2023 J jnl
Automatic Modulation Classification for Underwater Acoustic Communication Signals Based on Deep Complex Networks.
Entropy
Xiaohui Yao, Honghui Yang, Meiping Sheng
2023 J jnl
Feature Fusion Based on Graph Convolution Network for Modulation Classification in Underwater Communication.
Entropy
Xiaohui Yao, Honghui Yang, Meiping Sheng
2023 J jnl
Towards building a firm metaverse security base.
Secur. Saf.
Anmin Li, Xiaohui Yao, Haiying Gu, Yungeng Zhang, Yuan Chang
2022 J jnl
Assessment and clustering of temporal disaster risk: Two case studies of China.
Intell. Decis. Technol.
Ning Chen, Zhige Zhang, Yingchao Ma, An Chen, Xiaohui Yao
2022 J jnl
Cause analysis of construction safety accidents in China using association rules.
Intell. Decis. Technol.
Ning Chen, Zhenyu Zhang, Xiaohui Yao, An Chen
2022 J jnl
Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment.
BMC Bioinform.
Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen
2021 J jnl
Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics.
IEEE ACM Trans. Comput. Biol. Bioinform.
Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen
2020 J jnl
Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method.
IEEE Trans. Medical Imaging
Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Li Shen
2020 J jnl
Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data.
BMC Medical Informatics Decis. Mak.
Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning
2020 C conf
Deep Multiview Learning to Identify Population Structure with Multimodal Imaging.
BIBE
Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen
2020 J jnl
Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach.
Medical Image Anal.
Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen
2020 J jnl
Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification.
Bioinform.
Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2020 J jnl
Mining and visualizing high-order directional drug interaction effects using the FAERS database.
BMC Medical Informatics Decis. Mak.
Xiaohui Yao, Tiffany Tsang, Qing Sun, Sara K. Quinney, Pengyue Zhang, Xia Ning, Lang Li, Li Shen
2020 J jnl
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease.
Medical Image Anal.
Xiaoke Hao, Yongjin Bao, Yingchun Guo, Ming Yu, Daoqiang Zhang, Shannon L. Risacher, Andrew J. Saykin, Xiaohui Yao, Li Shen
2020 J jnl
Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
CoRR
Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning
2020 Misc conf
Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes.
AMIA
Yingxuan Eng, Xiaohui Yao, Kefei Liu, Shannon L. Risacher, Andrew J. Saykin, Qi Long, Yize Zhao, Li Shen
2020 J jnl
Regional imaging genetic enrichment analysis.
Bioinform.
Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen
2020 J jnl
Risk assessment and comparison of regional natural disasters in China using clustering.
Intell. Decis. Technol.
Ning Chen, Yingchao Ma, Chaosheng Tang, An Chen, Xiaohui Yao
2020 J jnl
Ship Type Classification by Convolutional Neural Networks with Auditory-Like Mechanisms.
Sensors
Sheng Shen, Honghui Yang, Xiaohui Yao, Junhao Li, Guanghui Xu, Meiping Sheng
2019 — conf
A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics.
MICCAI (4)
Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2019 — conf
Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis.
ISBI
Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2019 J jnl
Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaoke Hao, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Jintai Yu, Huifu Wang, Lan Tan, Li Shen, Daoqiang Zhang
2019 J jnl
Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort.
Bioinform.
Lei Du, Kefei Liu, Lei Zhu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2019 J jnl
Mining Directional Drug Interaction Effects on Myopathy Using the FAERS Database.
IEEE J. Biomed. Health Informatics
Danai Chasioti, Xiaohui Yao, Pengyue Zhang, Samuel Lerner, Sara K. Quinney, Xia Ning, Lang Li, Li Shen
2019 — conf
Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis.
BHI
Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen
2019 — conf
Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
BHI
Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning
2019 — conf
Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank.
MBIA/MFCA@MICCAI
Bo Peng, Zhiyun Ren, Xiaohui Yao, Kefei Liu, Andrew J. Saykin, Li Shen, Xia Ning
2018 J jnl
A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics.
Bioinform.
Lei Du, Kefei Liu, Tuo Zhang, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2018 J jnl
Competitive Deep-Belief Networks for Underwater Acoustic Target Recognition.
Sensors
Honghui Yang, Sheng Shen, Xiaohui Yao, Meiping Sheng, Chen Wang
2018 — conf
Detecting Parkinson's Disease Using Gait Analysis with Particle Swarm Optimization.
HCI (27)
Xu Chen, Xiaohui Yao, Chen Tang, Yining Sun, Xun Wang, Xi Wu
2018 — conf
Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics.
BIBM
Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2018 J jnl
GPU Accelerated Browser for Neuroimaging Genomics.
Neuroinformatics
Bob Zigon, Huang Li, Xiaohui Yao, Shiaofen Fang, Mohammad Al Hasan, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen
2018 J jnl
Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model.
J. Comput. Biol.
Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2018 — conf
Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning.
ISBI
Lyujian Lu, Hua Wang, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2017 — conf
A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics.
GRAIL/MFCA/MICGen@MICCAI
Yuming Huang, Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2017 J jnl
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.
Bioinform.
Xiaoke Hao, Chanxiu Li, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Daoqiang Zhang
2017 — conf
Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach.
IPMI
Lei Du, Tuo Zhang, Kefei Liu, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Junwei Han, Lei Guo, Li Shen
2017 B conf
Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model.
RECOMB
Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2017 Misc conf
Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules.
ICASSP
Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Jason H. Moore, Andrew J. Saykin, Li Shen
2017 J jnl
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.
Bioinform.
Xiaohui Yao, Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Casey S. Greene, Jason H. Moore, Andrew J. Saykin, Li Shen
2017 — conf
Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm.
GRAIL/MFCA/MICGen@MICCAI
Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen
2017 J jnl
Two-dimensional enrichment analysis for mining high-level imaging genetic associations.
Brain Informatics
Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2016 Misc conf
Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease.
PSB
Xiaoke Hao, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen
2016 J jnl
Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease.
Neuroinformatics
Xiaoke Hao, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen
2016 — conf
Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics.
BIBM
Lei Du, Tuo Zhang, Kefei Liu, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2015 J jnl
Privacy-preserving LOF outlier detection.
Knowl. Inf. Syst.
Lu Li, Liusheng Huang, Wei Yang, Xiaohui Yao, An Liu
2015 — conf
Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations.
BIH
Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2013 J jnl
FNphasing: A Novel Fast Heuristic Algorithm for Haplotype Phasing Based on Flow Network Model.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jiaoyun Yang, Yun Xu, Xiaohui Yao, Guoliang Chen
2011 — conf
A Faster Haplotyping Algorithm Based on Block Partition, and Greedy Ligation Strategy.
ICIC (3)
Xiaohui Yao, Yun Xu, Jiaoyun Yang
2010 — conf
An EM method based on entropy LD block partition for haplotype inference.
BIC-TA
Yun Xu, Ying Wang, Xiaohui Yao, Yuzhong Zhao
2010 — conf
Xor Perfect Phylogeny Haplotyping in Pedigrees.
ICIC (2)
Yuzhong Zhao, Yun Xu, Xiaohui Yao, Ying Wang, Guoliang Chen