Xiaoke Hao

38 papers A* 1Misc 1Journal 30Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Smart CSWin-UNet: Integrating prototype attention gate and mixture-of-experts skip connections for medical image segmentation.
Neurocomputing
Chuanbo Feng, Xinchu Lu, Jing Qin, Daoqiang Zhang, Xiaoke Hao
2025 J jnl
A Hierarchical Graph Convolutional Network With Infomax-Guided Graph Embedding for Population-Based ASD Detection.
IEEE J. Biomed. Health Informatics
Xiaoke Hao, Mingming Ma, Jiaqing Tao, Jiahui Cao, Jing Qin, Feng Liu, Daoqiang Zhang, Dong Ming
2025 J jnl
Deep learning-based EEG emotion recognition: a comprehensive review.
Neural Comput. Appl.
Yuxiao Geng, Shuo Shi, Xiaoke Hao
2025 A* conf
Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation.
AAAI
Shiyu Liu, Daoqiang Zhang, Xiaoke Hao
2025 J jnl
MASC-Net: Modality-aware skip connection network for adaptive feature selection in high-fidelity medical image translation.
Knowl. Based Syst.
Jiaqing Tao, Zewen Liu, Mingming Ma, Jing Qin, Feng Liu, Xiaoke Hao
2025 J jnl
Reducing semantic ambiguity in domain adaptive semantic segmentation via probabilistic prototypical pixel contrast.
Neural Networks
Xiaoke Hao, Shiyu Liu, Chuanbo Feng, Ye Zhu
2025 — conf
Various Attention Mechanism Graph Convolutional Network with Multi-source Domain Adaptation for Cross-Subject EEG Emotion Recognition.
MICCAI (12)
Shuo Shi, Xulei Zheng, Taiyi Wu, Xiaoke Hao
2024 — conf
A Framework on Imaging and Phenotype Information Hierarchical Graph Convolutional Networks for Identification of Autism Spectrum Disorder.
ISBI
Xiaoke Hao, Mingming Ma, Yingchun Guo, Jiawang Li, Jing Qin, Daoqiang Zhang
2024 J jnl
A review of single image super-resolution reconstruction based on deep learning.
Multim. Tools Appl.
Ming Yu, Jiecong Shi, Cuihong Xue, Xiaoke Hao, Gang Yan
2024 J jnl
Hypergraph convolutional network for longitudinal data analysis in Alzheimer's disease.
Comput. Biol. Medicine
Xiaoke Hao, Jiawang Li, Mingming Ma, Jing Qin, Daoqiang Zhang, Feng Liu
2024 J jnl
IRNet-RS: image retargeting network via relative saliency.
Neural Comput. Appl.
Yingchun Guo, Meng Zhang, Xiaoke Hao, Gang Yan
2024 J jnl
Multi-Cluster Self-Paced Diverse Learning and Feature Fusion for Autism Spectrum Disorder Identification With Resting-State fMRI.
IEEE Trans. Emerg. Top. Comput. Intell.
Xiaoke Hao, Jingyi Wang, Zilong He, Yingchun Guo, Ming Yu, Feng Liu, Jing Qin, Daoqiang Zhang
2024 J jnl
Progressive Mask Transformer With Edge Enhancement for Image Manipulation Localization.
IEEE Signal Process. Lett.
Ye Zhu, Jian Liu, Yang Yu, Yingchun Guo, Xiaoke Hao
2024 J jnl
Reducing Semantic Ambiguity In Domain Adaptive Semantic Segmentation Via Probabilistic Prototypical Pixel Contrast.
CoRR
Xiaoke Hao, Shiyu Liu, Chuanbo Feng, Ye Zhu
2023 J jnl
Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics.
IEEE Trans. Biomed. Eng.
Xiaoke Hao, Qihao Tan, Yingchun Guo, Yunjia Xiao, Ming Yu, Meiling Wang, Jing Qin, Daoqiang Zhang, Alzheimer's Disease Neuroimaging Initiative
2023 J jnl
Machine Learning for Brain Imaging Genomics Methods: A Review.
Int. J. Autom. Comput.
Mei-Ling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang
2023 J jnl
Multimodal Self-Paced Locality-Preserving Learning for Diagnosis of Alzheimer's Disease.
IEEE Trans. Cogn. Dev. Syst.
Xiaoke Hao, Ruxue Wang, Yingchun Guo, Yunjia Xiao, Ming Yu, Meiling Wang, Weibin Chen, Daoqiang Zhang
2022 — conf
Design and Practice of Multi-level Programming Experimental Teaching for Emerging Engineering Education.
ICCSE (3)
Hua Lv, Ye Zhu, Yingchun Guo, Gang Yan, Yang Yu, Xiaoke Hao
2022 J jnl
Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis.
Bioinform.
Meiling Wang, Wei Shao, Xiaoke Hao, Shuo Huang, Daoqiang Zhang
2022 J jnl
JAC-Net: Joint learning with adaptive exploration and concise attention for unsupervised domain adaptive person re-identification.
Neurocomputing
Yingchun Guo, Fang Feng, Xiaoke Hao, Xi Chen
2022 J jnl
Multi-scale gradient attention guidance and adaptive style fusion for image inpainting.
J. Vis. Commun. Image Represent.
Ye Zhu, Chao Wang, Shuze Geng, Yang Yu, Xiaoke Hao
2021 J jnl
Hypergraph Neural Network for Skeleton-Based Action Recognition.
IEEE Trans. Image Process.
Xiaoke Hao, Jie Li, Yingchun Guo, Tao Jiang, Ming Yu
2021 J jnl
Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis.
IEEE Trans. Medical Imaging
Meiling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang
2021 J jnl
Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform.
Meiling Wang, Wei Shao, Xiaoke Hao, Li Shen, Daoqiang Zhang
2020 J jnl
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis.
Medical Image Anal.
Baiying Lei, Yujia Zhao, Zhongwei Huang, Xiaoke Hao, Feng Zhou, Ahmed Elazab, Jing Qin, Haijun Lei
2020 J jnl
Hierarchical Structured Sparse Learning for Schizophrenia Identification.
Neuroinformatics
Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Li Shen, Xijia Xu, Daoqiang Zhang, Mingxia Liu
2020 J jnl
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease.
Medical Image Anal.
Xiaoke Hao, Yongjin Bao, Yingchun Guo, Ming Yu, Daoqiang Zhang, Shannon L. Risacher, Andrew J. Saykin, Xiaohui Yao, Li Shen
2019 J jnl
Deep Regression Neural Network for End-to-End Person Re-Identification.
IEEE Access
Yingchun Guo, Kunpeng Zhao, Xiaoke Hao, Ming Yu
2019 J jnl
Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease.
Bioinform.
Meiling Wang, Xiaoke Hao, Jiashuang Huang, Wei Shao, Daoqiang Zhang
2019 J jnl
Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaoke Hao, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Jintai Yu, Huifu Wang, Lan Tan, Li Shen, Daoqiang Zhang
2019 J jnl
Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification.
IEEE J. Biomed. Health Informatics
Jiashuang Huang, Qi Zhu, Xiaoke Hao, Xiaomeng Shi, Shuzhan Gao, Xijia Xu, Daoqiang Zhang
2019 J jnl
Multi-modal AD classification via self-paced latent correlation analysis.
Neurocomputing
Qi Zhu, Ning Yuan, Jiashuang Huang, Xiaoke Hao, Daoqiang Zhang
2017 J jnl
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.
Bioinform.
Xiaoke Hao, Chanxiu Li, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Daoqiang Zhang
2017 — conf
Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease.
MICCAI (3)
Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Xijia Xu, Daoqiang Zhang
2016 Misc conf
Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease.
PSB
Xiaoke Hao, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen
2016 J jnl
Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease.
Neuroinformatics
Xiaoke Hao, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen
2014 — conf
Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning.
MICCAI (2)
Xiaoke Hao, Jintai Yu, Daoqiang Zhang
2013 — conf
Ensemble Universum SVM Learning for Multimodal Classification of Alzheimer's Disease.
MLMI
Xiaoke Hao, Daoqiang Zhang