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2020 – today
- 2024
[j29]Xiaohui Yao, Xiaohan Jiang, Haoran Luo, Hong Liang, Xiufen Ye, Yanhui Wei, Shan Cong:
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder. BioData Min. 17(1) (2024)- [i2]Shan Cong, Zhoujie Fan, Hongwei Liu, Yinghan Zhang, Xin Wang, Haoran Luo, Xiaohui Yao:
Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics Data. CoRR abs/2406.14977 (2024) - 2023
- [j28]Xiaohui Yao
, Honghui Yang, Meiping Sheng:
Automatic Modulation Classification for Underwater Acoustic Communication Signals Based on Deep Complex Networks. Entropy 25(2): 318 (2023) - [j27]Xiaohui Yao, Honghui Yang, Meiping Sheng:
Feature Fusion Based on Graph Convolution Network for Modulation Classification in Underwater Communication. Entropy 25(7): 1096 (2023) - 2022
- [j26]Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen:
Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment. BMC Bioinform. 23-S(3): 402 (2022) - [j25]Ning Chen, Zhige Zhang, Yingchao Ma, An Chen, Xiaohui Yao:
Assessment and clustering of temporal disaster risk: Two case studies of China. Intell. Decis. Technol. 16(1): 247-261 (2022) - [j24]Ning Chen, Zhenyu Zhang, Xiaohui Yao, An Chen:
Cause analysis of construction safety accidents in China using association rules. Intell. Decis. Technol. 16(3): 601-614 (2022) - 2021
- [j23]Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen:
Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 227-239 (2021) - 2020
- [j22]Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen:
Regional imaging genetic enrichment analysis. Bioinform. 36(8): 2554-2560 (2020) - [j21]Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen:
Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification. Bioinform. 36(Supplement-1): i371-i379 (2020) - [j20]Ning Chen, Yingchao Ma, Chaosheng Tang, An Chen, Xiaohui Yao:
Risk assessment and comparison of regional natural disasters in China using clustering. Intell. Decis. Technol. 14(3): 349-357 (2020) - [j19]Xiaoke Hao, Yongjin Bao, Yingchun Guo, Ming Yu, Daoqiang Zhang, Shannon L. Risacher, Andrew J. Saykin, Xiaohui Yao, Li Shen:
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Anal. 60 (2020) - [j18]Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen:
Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach. Medical Image Anal. 61: 101656 (2020) - [j17]Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning:
Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data. BMC Medical Informatics Decis. Mak. 20(1): 319 (2020) - [j16]Xiaohui Yao, Tiffany Tsang, Qing Sun, Sara K. Quinney, Pengyue Zhang, Xia Ning, Lang Li, Li Shen:
Mining and visualizing high-order directional drug interaction effects using the FAERS database. BMC Medical Informatics Decis. Mak. 20-S(2): 50 (2020) - [j15]Sheng Shen, Honghui Yang, Xiaohui Yao, Junhao Li, Guanghui Xu, Meiping Sheng:
Ship Type Classification by Convolutional Neural Networks with Auditory-Like Mechanisms. Sensors 20(1): 253 (2020) - [j14]Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Li Shen:
Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method. IEEE Trans. Medical Imaging 39(11): 3416-3428 (2020) - [c21]Yingxuan Eng, Xiaohui Yao, Kefei Liu, Shannon L. Risacher, Andrew J. Saykin, Qi Long, Yize Zhao, Li Shen:
Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. AMIA 2020 - [c20]Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen:
Deep Multiview Learning to Identify Population Structure with Multimodal Imaging. BIBE 2020: 308-314 - [i1]Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning:
Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. CoRR abs/2002.07699 (2020)
2010 – 2019
- 2019
- [j13]Lei Du, Kefei Liu, Lei Zhu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen:
Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort. Bioinform. 35(14): i474-i483 (2019) - [j12]Xiaoke Hao, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Jintai Yu, Huifu Wang, Lan Tan, Li Shen, Daoqiang Zhang:
Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1986-1996 (2019) - [j11]Danai Chasioti, Xiaohui Yao, Pengyue Zhang, Samuel Lerner, Sara K. Quinney, Xia Ning, Lang Li, Li Shen:
Mining Directional Drug Interaction Effects on Myopathy Using the FAERS Database. IEEE J. Biomed. Health Informatics 23(5): 2156-2163 (2019) - [c19]Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning:
Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. BHI 2019: 1-4 - [c18]Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen:
Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis. BHI 2019: 1-4 - [c17]Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen:
Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis. ISBI 2019: 356-359 - [c16]Bo Peng, Zhiyun Ren, Xiaohui Yao, Kefei Liu, Andrew J. Saykin, Li Shen, Xia Ning:
Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank. MBIA/MFCA@MICCAI 2019: 139-148 - [c15]Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen:
A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics. MICCAI (4) 2019: 447-455 - 2018
- [j10]Lei Du, Kefei Liu, Tuo Zhang, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen:
A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics. Bioinform. 34(2): 278-285 (2018) - [j9]Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang:
Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model. J. Comput. Biol. 25(7): 809-824 (2018) - [j8]Bob Zigon, Huang Li, Xiaohui Yao, Shiaofen Fang, Mohammad Al Hasan, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen:
GPU Accelerated Browser for Neuroimaging Genomics. Neuroinformatics 16(3-4): 393-402 (2018) - [j7]Honghui Yang, Sheng Shen, Xiaohui Yao, Meiping Sheng, Chen Wang:
Competitive Deep-Belief Networks for Underwater Acoustic Target Recognition. Sensors 18(4): 952 (2018) - [c14]Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen:
Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics. BIBM 2018: 356-361 - [c13]Xu Chen, Xiaohui Yao, Chen Tang, Yining Sun, Xun Wang, Xi Wu:
Detecting Parkinson's Disease Using Gait Analysis with Particle Swarm Optimization. HCI (27) 2018: 263-275 - [c12]Lyujian Lu, Hua Wang, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning. ISBI 2018: 545-548 - 2017
- [j6]Xiaoke Hao, Chanxiu Li, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Daoqiang Zhang:
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. Bioinform. 33(14): i341-i349 (2017) - [j5]Xiaohui Yao, Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Casey S. Greene, Jason H. Moore, Andrew J. Saykin, Li Shen:
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. Bioinform. 33(20): 3250-3257 (2017) - [j4]Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Brain Informatics 4(1): 27-37 (2017) - [c11]Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Jason H. Moore, Andrew J. Saykin, Li Shen:
Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules. ICASSP 2017: 6170-6174 - [c10]Lei Du, Tuo Zhang, Kefei Liu, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Junwei Han, Lei Guo, Li Shen:
Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach. IPMI 2017: 543-555 - [c9]Yuming Huang, Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen:
A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics. GRAIL/MFCA/MICGen@MICCAI 2017: 210-219 - [c8]Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen:
Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm. GRAIL/MFCA/MICGen@MICCAI 2017: 220-229 - [c7]Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang:
Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. RECOMB 2017: 287-302 - 2016
- [j3]Xiaoke Hao, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen:
Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. Neuroinformatics 14(4): 439-452 (2016) - [c6]Lei Du, Tuo Zhang, Kefei Liu, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen:
Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics. BIBM 2016: 707-711 - [c5]Xiaoke Hao, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen:
Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease. PSB 2016: 108-119 - 2015
- [j2]Lu Li, Liusheng Huang, Wei Yang, Xiaohui Yao, An Liu:
Privacy-preserving LOF outlier detection. Knowl. Inf. Syst. 42(3): 579-597 (2015) - [c4]Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations. BIH 2015: 115-124 - 2013
- [j1]Jiaoyun Yang, Yun Xu, Xiaohui Yao, Guoliang Chen:
FNphasing: A Novel Fast Heuristic Algorithm for Haplotype Phasing Based on Flow Network Model. IEEE ACM Trans. Comput. Biol. Bioinform. 10(2): 372-382 (2013) - 2011
- [c3]Xiaohui Yao, Yun Xu, Jiaoyun Yang:
A Faster Haplotyping Algorithm Based on Block Partition, and Greedy Ligation Strategy. ICIC (3) 2011: 537-544 - 2010
- [c2]Yun Xu, Ying Wang, Xiaohui Yao, YuZhong Zhao:
An EM method based on entropy LD block partition for haplotype inference. BIC-TA 2010: 163-167 - [c1]YuZhong Zhao, Yun Xu, Xiaohui Yao, Ying Wang, Guoliang Chen:
Xor Perfect Phylogeny Haplotyping in Pedigrees. ICIC (2) 2010: 27-34
Coauthor Index
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