An EM method based on entropy LD block partition for haplotype inference. - Yun Xu; Ying Wang; Xiaohui Yao; YuZhong Zhao (BIC-TA, 2010)

Xor Perfect Phylogeny Haplotyping in Pedigrees. - YuZhong Zhao; Yun Xu; Xiaohui Yao; Ying Wang; Guoliang Chen 001 (ICIC (2), 2010)

A Faster Haplotyping Algorithm Based on Block Partition, and Greedy Ligation Strategy. - Xiaohui Yao; Yun Xu; Jiaoyun Yang (ICIC (3), 2011)

FNphasing: A Novel Fast Heuristic Algorithm for Haplotype Phasing Based on Flow Network Model. - Jiaoyun Yang; Yun Xu; Xiaohui Yao; Guoliang Chen 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Privacy-preserving LOF outlier detection. - Lu Li; Liusheng Huang; Wei Yang 011; Xiaohui Yao; An Liu 002 (Knowl. Inf. Syst., 2015)

Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics. - Lei Du 001; Tuo Zhang; Kefei Liu 001; Xiaohui Yao; Jingwen Yan; Shannon L. Risacher; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (BIBM, 2016)

Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease. - Xiaoke Hao; Jingwen Yan; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Daoqiang Zhang; Li Shen 001 (PSB, 2016)

Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. - Xiaoke Hao; Xiaohui Yao; Jingwen Yan; Shannon L. Risacher; Andrew J. Saykin; Daoqiang Zhang; Li Shen 001 (Neuroinformatics, 2016)

Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules. - Xiaohui Yao; Jingwen Yan; Shannon L. Risacher; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (ICASSP, 2017)

Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach. - Lei Du 001; Tuo Zhang; Kefei Liu 001; Jingwen Yan; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Junwei Han 001; Lei Guo 002; Li Shen 001 (IPMI, 2017)

A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics. - Yuming Huang; Lei Du 001; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (GRAIL/MFCA/MICGen@MICCAI, 2017)

Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm. - Kefei Liu 001; Xiaohui Yao; Jingwen Yan; Danai Chasioti; Shannon L. Risacher; Kwangsik Nho; Andrew J. Saykin; Li Shen 001 (GRAIL/MFCA/MICGen@MICCAI, 2017)

Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. - Xiaoqian Wang 001; Jingwen Yan; Xiaohui Yao; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Heng Huang (RECOMB, 2017)

Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. - Xiaoke Hao; Chanxiu Li; Jingwen Yan; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Daoqiang Zhang (Bioinform., 2017)

Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. - Xiaohui Yao; Jingwen Yan; Kefei Liu 001; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Casey S. Greene; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Bioinform., 2017)

Two-dimensional enrichment analysis for mining high-level imaging genetic associations. - Xiaohui Yao; Jingwen Yan; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Brain Informatics, 2017)

Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics. - Lei Du 001; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (BIBM, 2018)

Detecting Parkinson's Disease Using Gait Analysis with Particle Swarm Optimization. - Xu Chen; Xiaohui Yao; Chen Tang; Yining Sun; Xun Wang; Xi Wu 003 (HCI (27), 2018)

Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning. - Lyujian Lu; Hua Wang 007; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (ISBI, 2018)

A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics. - Lei Du 001; Kefei Liu 001; Tuo Zhang; Xiaohui Yao; Jingwen Yan; Shannon L. Risacher; Junwei Han 001; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (Bioinform., 2018)

Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model. - Xiaoqian Wang 001; Jingwen Yan; Xiaohui Yao; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Heng Huang (J. Comput. Biol., 2018)

GPU Accelerated Browser for Neuroimaging Genomics. - Bob Zigon; Huang Li; Xiaohui Yao; Shiaofen Fang; Mohammad Al Hasan; Jingwen Yan; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Neuroinformatics, 2018)

Competitive Deep-Belief Networks for Underwater Acoustic Target Recognition. - Honghui Yang; Sheng Shen 004; Xiaohui Yao; Meiping Sheng; Chen Wang (Sensors, 2018)

Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. - Bo Peng 009; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Xia Ning (BHI, 2019)

Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis. - Xiaohui Yao; Shan Cong; Jingwen Yan; Shannon L. Risacher; Andrew J. Saykin; Jason H. Moore; Li Shen 001 (BHI, 2019)

Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis. - Lei Du 001; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (ISBI, 2019)

A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics. - Lei Du 001; Fang Liu; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (MICCAI (4), 2019)

Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank. - Bo Peng 009; Zhiyun Ren; Xiaohui Yao; Kefei Liu 001; Andrew J. Saykin; Li Shen 001; Xia Ning (MBIA/MFCA@MICCAI, 2019)

Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort. - Lei Du 001; Kefei Liu 001; Lei Zhu 011; Xiaohui Yao; Shannon L. Risacher; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (Bioinform., 2019)

Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning. - Xiaoke Hao; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Jintai Yu; Huifu Wang; Lan Tan; Li Shen 001; Daoqiang Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Mining Directional Drug Interaction Effects on Myopathy Using the FAERS Database. - Danai Chasioti; Xiaohui Yao; Pengyue Zhang; Samuel Lerner; Sara K. Quinney; Xia Ning; Lang Li 001; Li Shen 001 (IEEE J. Biomed. Health Informatics, 2019)

Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. - Yingxuan Eng; Xiaohui Yao; Kefei Liu 001; Shannon L. Risacher; Andrew J. Saykin; Qi Long; Yize Zhao; Li Shen 001 (AMIA, 2020)

Deep Multiview Learning to Identify Population Structure with Multimodal Imaging. - Yixue Feng 001; Mansu Kim; Xiaohui Yao; Kefei Liu 001; Qi Long; Li Shen 001 (BIBE, 2020)

Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification. - Lei Du 001; Fang Liu; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (Bioinform., 2020)

Regional imaging genetic enrichment analysis. - Xiaohui Yao; Shan Cong; Jingwen Yan; Shannon L. Risacher; Andrew J. Saykin; Jason H. Moore; Li Shen 001 (Bioinform., 2020)

Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. - Bo Peng 009; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Xia Ning (CoRR, 2020)

Risk assessment and comparison of regional natural disasters in China using clustering. - Ning Chen 003; Yingchao Ma; Chaosheng Tang; An Chen; Xiaohui Yao (Intell. Decis. Technol., 2020)

Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach. - Lei Du 001; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Andrew J. Saykin; Lei Guo 002; Li Shen 001 (Medical Image Anal., 2020)

Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. - Xiaoke Hao; Yongjin Bao; Yingchun Guo; Ming Yu 006; Daoqiang Zhang; Shannon L. Risacher; Andrew J. Saykin; Xiaohui Yao; Li Shen 001 (Medical Image Anal., 2020)

Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data. - Bo Peng 009; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Xia Ning (BMC Medical Informatics Decis. Mak., 2020)

Ship Type Classification by Convolutional Neural Networks with Auditory-Like Mechanisms. - Sheng Shen 004; Honghui Yang; Xiaohui Yao; Junhao Li; Guanghui Xu; Meiping Sheng (Sensors, 2020)

Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method. - Lei Du 001; Fang Liu; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Andrew J. Saykin; Li Shen 001 (IEEE Trans. Medical Imaging, 2020)

Mining and visualizing high-order directional drug interaction effects using the FAERS database. - Xiaohui Yao; Tiffany Tsang; Qing Sun; Sara K. Quinney; Pengyue Zhang; Xia Ning; Lang Li 001; Li Shen 001 (BMC Medical Informatics Decis. Mak., 2020)

Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics. - Lei Du 001; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Andrew J. Saykin; Lei Guo 002; Li Shen 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment. - Yixue Feng 001; Mansu Kim; Xiaohui Yao; Kefei Liu 001; Qi Long; Li Shen 001 (BMC Bioinform., 2022)

Assessment and clustering of temporal disaster risk: Two case studies of China. - Ning Chen 003; Zhige Zhang; Yingchao Ma; An Chen; Xiaohui Yao (Intell. Decis. Technol., 2022)

Cause analysis of construction safety accidents in China using association rules. - Ning Chen 003; Zhenyu Zhang; Xiaohui Yao; An Chen (Intell. Decis. Technol., 2022)

Towards building a firm metaverse security base. - Anmin Li; Xiaohui Yao; Haiying Gu; Yungeng Zhang; Yuan Chang (Secur. Saf., 2023)

Automatic Modulation Classification for Underwater Acoustic Communication Signals Based on Deep Complex Networks. - Xiaohui Yao; Honghui Yang; Meiping Sheng (Entropy, 2023)

Feature Fusion Based on Graph Convolution Network for Modulation Classification in Underwater Communication. - Xiaohui Yao; Honghui Yang; Meiping Sheng (Entropy, 2023)

Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics Data. - Shan Cong; Zhoujie Fan; Hongwei Liu; Yinghan Zhang; Xin Wang; Haoran Luo; Xiaohui Yao (BIBM, 2024)

MVKTrans: Multi-View Knowledge Transfer for Robust Multiomics Classification. - Shan Cong; Zhiling Sang; Hongwei Liu; Haoran Luo; Xin Wang; Hong Liang; Jie Hao; Xiaohui Yao (BIBM, 2024)

DDASR: Domain-Distance Adapted Super-Resolution Reconstruction of MR Brain Images. - Shan Cong; Kailong Cui; Yuzun Yang; Yang Zhou; Xinxin Wang; Haoran Luo; Yichi Zhang; Xiaohui Yao (SMC, 2024)

MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder. - Xiaohui Yao; Xiaohan Jiang; Haoran Luo; Hong Liang; Xiufen Ye; Yanhui Wei; Shan Cong (BioData Min., 2024)

GREMI: An Explainable Multi-Omics Integration Framework for Enhanced Disease Prediction and Module Identification. - Hong Liang; Haoran Luo; Zhiling Sang; Miao Jia; Xiaohan Jiang; Zheng Wang 035; Shan Cong; Xiaohui Yao (IEEE J. Biomed. Health Informatics, 2024)