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Journal Articles
- 2024
[j23]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: 107765 (2024)- [j22]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): 55921-55962 (2024) - [j21]Yingchun Guo, Meng Zhang, Xiaoke Hao, Gang Yan:
IRNet-RS: image retargeting network via relative saliency. Neural Comput. Appl. 36(8): 4133-4149 (2024) - [j20]Ye Zhu, Jian Liu, Yang Yu, Yingchun Guo, Xiaoke Hao:
Progressive Mask Transformer With Edge Enhancement for Image Manipulation Localization. IEEE Signal Process. Lett. 31: 2380-2384 (2024) - 2023
- [j19]Mei-Ling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang:
Machine Learning for Brain Imaging Genomics Methods: A Review. Int. J. Autom. Comput. 20(1): 57-78 (2023) - [j18]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): 832-843 (2023) - [j17]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): 831-840 (2023) - 2022
- [j16]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): 2323-2332 (2022) - [j15]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: 262-274 (2022) - [j14]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: 103681 (2022) - 2021
- [j13]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): 1549-1561 (2021) - [j12]Xiaoke Hao, Jie Li, Yingchun Guo, Tao Jiang, Ming Yu:
Hypergraph Neural Network for Skeleton-Based Action Recognition. IEEE Trans. Image Process. 30: 2263-2275 (2021) - [j11]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): 1673-1686 (2021) - 2020
- [j10]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) - [j9]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: 101632 (2020) - [j8]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): 43-57 (2020) - 2019
- [j7]Yingchun Guo, Kunpeng Zhao, Xiaoke Hao, Ming Yu:
Deep Regression Neural Network for End-to-End Person Re-Identification. IEEE Access 7: 92825-92837 (2019) - [j6]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): 1948-1957 (2019) - [j5]Qi Zhu, Ning Yuan, Jiashuang Huang, Xiaoke Hao, Daoqiang Zhang:
Multi-modal AD classification via self-paced latent correlation analysis. Neurocomputing 355: 143-154 (2019) - [j4]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) - [j3]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): 342-350 (2019) - 2017
- [j2]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) - 2016
- [j1]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)
Conference and Workshop Papers
- 2024
- [c6]Xiaoke Hao, Mingming Ma, Yingchun Guo, Jiawang Li, Jing Qin, Daoqiang Zhang:
A Framework on Imaging and Phenotype Information Hierarchical Graph Convolutional Networks for Identification of Autism Spectrum Disorder. ISBI 2024: 1-4 - 2022
- [c5]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: 544-551 - 2017
- [c4]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: 46-54 - 2016
- [c3]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 - 2014
- [c2]Xiaoke Hao, Jintai Yu, Daoqiang Zhang:
Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning. MICCAI (2) 2014: 757-764 - 2013
- [c1]Xiaoke Hao, Daoqiang Zhang:
Ensemble Universum SVM Learning for Multimodal Classification of Alzheimer's Disease. MLMI 2013: 227-234
Informal and Other Publications
- 2024
- [i1]Xiaoke Hao, Shiyu Liu, Chuanbo Feng, Ye Zhu:
Reducing Semantic Ambiguity In Domain Adaptive Semantic Segmentation Via Probabilistic Prototypical Pixel Contrast. CoRR abs/2409.18543 (2024)
Coauthor Index
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