Xiaoke Hao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 25

Top Topics

Sparse Learning

Image Retargeting

Correlation Analysis

Convolutional Network

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Neuroinformatics

Publications

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)
Ming Yu, Jiecong Shi, Cuihong Xue, Xiaoke Hao, Gang Yan
A review of single image super-resolution reconstruction based on deep learning. Multim. Tools Appl. 83 (18) (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)