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Xiaoke Hao
ORCID
Publication Activity (10 Years)
Years Active: 2013-2024
Publications (10 Years): 24
Top Topics
Image Retargeting
Sparse Learning
Convolutional Network
Risk Factors
Top Venues
Bioinform.
IEEE ACM Trans. Comput. Biol. Bioinform.
Neuroinformatics
Neurocomputing
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Publications
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Xiaoke Hao
,
Jiawang Li
,
Mingming Ma
,
Jing Qin
,
Daoqiang Zhang
,
Feng Liu
Hypergraph convolutional network for longitudinal data analysis in Alzheimer's disease.
Comput. Biol. Medicine
168 (2024)
Yingchun Guo
,
Meng Zhang
,
Xiaoke Hao
,
Gang Yan
IRNet-RS: image retargeting network via relative saliency.
Neural Comput. Appl.
36 (8) (2024)
Mei-Ling Wang
,
Wei Shao
,
Xiaoke Hao
,
Daoqiang Zhang
Machine Learning for Brain Imaging Genomics Methods: A Review.
Int. J. Autom. Comput.
20 (1) (2023)
Xiaoke Hao
,
Ruxue Wang
,
Yingchun Guo
,
Yunjia Xiao
,
Ming Yu
,
Meiling Wang
,
Weibin Chen
,
Daoqiang Zhang
Multimodal Self-Paced Locality-Preserving Learning for Diagnosis of Alzheimer's Disease.
IEEE Trans. Cogn. Dev. Syst.
15 (2) (2023)
Xiaoke Hao
,
Qihao Tan
,
Yingchun Guo
,
Yunjia Xiao
,
Ming Yu
,
Meiling Wang
,
Jing Qin
,
Daoqiang Zhang
,
Alzheimer's Disease Neuroimaging Initiative
Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics.
IEEE Trans. Biomed. Eng.
70 (3) (2023)
Ye Zhu
,
Chao Wang
,
Shuze Geng
,
Yang Yu
,
Xiaoke Hao
Multi-scale gradient attention guidance and adaptive style fusion for image inpainting.
J. Vis. Commun. Image Represent.
89 (2022)
Hua Lv
,
Ye Zhu
,
Yingchun Guo
,
Gang Yan
,
Yang Yu
,
Xiaoke Hao
Design and Practice of Multi-level Programming Experimental Teaching for Emerging Engineering Education.
ICCSE (3)
(2022)
Meiling Wang
,
Wei Shao
,
Xiaoke Hao
,
Shuo Huang
,
Daoqiang Zhang
Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis.
Bioinform.
38 (8) (2022)
Yingchun Guo
,
Fang Feng
,
Xiaoke Hao
,
Xi Chen
JAC-Net: Joint learning with adaptive exploration and concise attention for unsupervised domain adaptive person re-identification.
Neurocomputing
483 (2022)
Xiaoke Hao
,
Jie Li
,
Yingchun Guo
,
Tao Jiang
,
Ming Yu
Hypergraph Neural Network for Skeleton-Based Action Recognition.
IEEE Trans. Image Process.
30 (2021)
Meiling Wang
,
Wei Shao
,
Xiaoke Hao
,
Daoqiang Zhang
Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis.
IEEE Trans. Medical Imaging
40 (6) (2021)
Meiling Wang
,
Wei Shao
,
Xiaoke Hao
,
Li Shen
,
Daoqiang Zhang
Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform.
18 (4) (2021)
Mingliang Wang
,
Xiaoke Hao
,
Jiashuang Huang
,
Kangcheng Wang
,
Li Shen
,
Xijia Xu
,
Daoqiang Zhang
,
Mingxia Liu
Hierarchical Structured Sparse Learning for Schizophrenia Identification.
Neuroinformatics
18 (1) (2020)
Baiying Lei
,
Yujia Zhao
,
Zhongwei Huang
,
Xiaoke Hao
,
Feng Zhou
,
Ahmed Elazab
,
Jing Qin
,
Haijun Lei
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis.
Medical Image Anal.
61 (2020)
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)
Yingchun Guo
,
Kunpeng Zhao
,
Xiaoke Hao
,
Ming Yu
Deep Regression Neural Network for End-to-End Person Re-Identification.
IEEE Access
7 (2019)
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) (2019)
Qi Zhu
,
Ning Yuan
,
Jiashuang Huang
,
Xiaoke Hao
,
Daoqiang Zhang
Multi-modal AD classification via self-paced latent correlation analysis.
Neurocomputing
355 (2019)
Jiashuang Huang
,
Qi Zhu
,
Xiaoke Hao
,
Xiaomeng Shi
,
Shuzhan Gao
,
Xijia Xu
,
Daoqiang Zhang
Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification.
IEEE J. Biomed. Health Informatics
23 (1) (2019)
Meiling Wang
,
Xiaoke Hao
,
Jiashuang Huang
,
Wei Shao
,
Daoqiang Zhang
Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease.
Bioinform.
35 (11) (2019)
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) (2017)
Mingliang Wang
,
Xiaoke Hao
,
Jiashuang Huang
,
Kangcheng Wang
,
Xijia Xu
,
Daoqiang Zhang
Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease.
MICCAI (3)
(2017)
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)
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) (2016)
Xiaoke Hao
,
Jintai Yu
,
Daoqiang Zhang
Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning.
MICCAI (2)
(2014)
Xiaoke Hao
,
Daoqiang Zhang
Ensemble Universum SVM Learning for Multimodal Classification of Alzheimer's Disease.
MLMI
(2013)