Dan Hu

64 papers C 4Misc 2Journal 31Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
Incomplete Multi-Modal Disentanglement Learning With Application to Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging
Kangfu Han, Dan Hu, Fenqiang Zhao, Tianming Liu, Feng Yang, Gang Li
2026 J jnl
Triplet longitudinal masked autoencoder for predicting individualized functional connectome development during infancy.
Medical Image Anal.
Weiran Xia, Xin Zhang, Dan Hu, Jiale Cheng, Xiaowei Yu, Weiyan Yin, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2025 — conf
Continuous Spatio-Temporal Representation with Implicit Neural Networks for Fetal Brain MRI Atlas Construction.
PIPPI@MICCAI
Kai Zhang, Dan Hu, Kaibo Tang, Xiuyu Dong, Shijie Huang, Sheng-Che Hung, He Zhang, Zhengwang Wu, Weili Lin, Dinggang Shen, Gang Li
2025 — conf
Dual Multi-Atlas Representation Alignment for Brain Disorder Diagnosis Using Morphological Connectome.
ISBI
Kangfu Han, Dan Hu, Jiale Cheng, Tianming Liu, Andrea Bozoki, Dajiang Zhu, Gang Li
2025 — conf
Individualized Trajectory Prediction of Early Developing Functional Connectivity.
ISBI
Weiran Xia, Xin Zhang, Dan Hu, Jiale Cheng, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2025 — conf
Joint Motion Correction of Multi-Atlas Functional Connectivity During Infancy.
MLMI@MICCAI
Weiran Xia, Xin Zhang, Dan Hu, Jiale Cheng, Kangfu Han, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2025 — conf
Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI.
MICCAI (2)
Xiuyu Dong, Kaibo Tang, Dan Hu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2025 — conf
Mamba-Based Residual Generative Adversarial Network for Functional Connectivity Harmonization During Infancy.
ISBI
Weiran Xia, Xin Zhang, Dan Hu, Jiale Cheng, Weiyan Yin, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2025 — conf
Masked Momentum Contrastive Dynamic Transformer for Self-Supervised Functional Connectivity Representation Learning.
ISBI
Jiale Cheng, Dan Hu, Zhengwang Wu, Xinrui Yuan, Gang Li
2025 — conf
Relation-Preserving Harmonization of Functional Connectivity Representation: Ensuring Local Functional, Longitudinal, and Population-Level Consistency.
MLMI@MICCAI
Jiale Cheng, Dan Hu, Kangfu Han, Weiran Xia, Xinrui Yuan, Weiyan Yin, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2025 — conf
Unsupervised Cortical Surface Registration Network for Aligning Gyralnet.
ISBI
Jiale Cheng, Fenqiang Zhao, Dan Hu, Chao Cao, Zhengwang Wu, Xinrui Yuan, Kangfu Han, Lu Zhang, Tianming Liu, Dajiang Zhu, Gang Li
2025 J jnl
Weak celestial source fringes detection based on multi-task learning and pseudo soft threshold residual denoising network.
Digit. Signal Process.
Ruiqing Yan, Zongyao Yin, Cong Dai, Wengping Qi, Xiaojin Shi, Dan Hu, Dan Wu, Xianchuan Yu
2025 J jnl
Weak galaxy object detection using improved YOLOX model with feature map knowledge distillation.
Expert Syst. Appl.
Ruiqing Yan, Zongyao Yin, Wei Liu, Dan Hu, Ali Luo, Xiao Kong, Xianchuan Yu
2024 — conf
Consecutive-Contrastive Spherical U-Net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-Duration fMRI Scans.
MICCAI (2)
Dan Hu, Kangfu Han, Jiale Cheng, Gang Li
2024 J jnl
Dynamic Evolution Graph Attention Network for Semi-Supervised Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Yi Xiao, Rong Ma, Sheng Chang, Xinglin Gao, Xuyi Qiao, Dan Hu, Xianchuan Yu
2024 — conf
Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development.
MICCAI (5)
Xinrui Yuan, Jiale Cheng, Dan Hu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2024 J jnl
SUGAR: Spherical ultrafast graph attention framework for cortical surface registration.
Medical Image Anal.
Jianxun Ren, Ning An, Youjia Zhang, Danyang Wang, Zhenyu Sun, Cong Lin, Weigang Cui, Weiwei Wang, Ying Zhou, Wei Zhang, Qingyu Hu, Ping Zhang, Dan Hu, Danhong Wang, Hesheng Liu
2023 J jnl
SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration.
CoRR
Jianxun Ren, Ning An, Youjia Zhang, Danyang Wang, Zhenyu Sun, Cong Lin, Weigang Cui, Weiwei Wang, Ying Zhou, Wei Zhang, Qingyu Hu, Ping Zhang, Dan Hu, Danhong Wang, Hesheng Liu
2022 J jnl
A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort.
NeuroImage
Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Fenqiang Zhao, Tao Zhong, Weili Lin, Li Wang, Gang Li
2022 J jnl
Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction.
IEEE Trans. Medical Imaging
Yu Li, Xin Zhang, Jingxin Nie, Guowei Zhang, Ruiyan Fang, Xiangmin Xu, Zhengwang Wu, Dan Hu, Li Wang, Han Zhang, Weili Lin, Gang Li
2022 J jnl
Convolutional Transformer Network for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Zhengang Zhao, Dan Hu, Hao Wang, Xianchuan Yu
2022 — conf
Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network.
MICCAI (8)
Xiaowei Yu, Dan Hu, Lu Zhang, Ying Huang, Zhengwang Wu, Tianming Liu, Li Wang, Weili Lin, Dajiang Zhu, Gang Li
2022 J jnl
Weak celestial source fringes detection based on channel attention shrinkage networks and cluster-based anchor boxes generation algorithm.
Digit. Signal Process.
Ruiqing Yan, Rong Ma, Wei Liu, Zongyao Yin, Zhengang Zhao, Siying Chen, Sheng Chang, Hui Zhu, Dan Hu, Xianchuan Yu
2021 J jnl
ABCnet: Adversarial bias correction network for infant brain MR images.
Medical Image Anal.
Liangjun Chen, Zhengwang Wu, Dan Hu, Fan Wang, J. Keith Smith, Weili Lin, Li Wang, Dinggang Shen, Gang Li
2021 J jnl
Center Attention Network for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zhengang Zhao, Dan Hu, Hao Wang, Xianchuan Yu
2021 — conf
Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning.
MICCAI (4)
Liangjun Chen, Zhengwang Wu, Dan Hu, Yuchen Pei, Fenqiang Zhao, Yue Sun, Ya Wang, Weili Lin, Li Wang, Gang Li
2021 — conf
Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction.
MLMI@MICCAI
Yu Li, Jiale Cheng, Xin Zhang, Ruiyan Fang, Lufan Liao, Xinyao Ding, Hao Ni, Xiangmin Xu, Zhengwang Wu, Dan Hu, Weili Lin, Li Wang, John H. Gilmore, Gang Li
2021 — conf
Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction.
MICCAI (3)
Dan Hu, Weiyan Yin, Zhengwang Wu, Liangjun Chen, Li Wang, Weili Lin, Gang Li
2020 — conf
A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation.
MICCAI (7)
Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang, Weili Lin, Dinggang Shen, Gang Li
2020 J jnl
Combining Graph Clustering and Quantitative Association Rules for Knowledge Discovery in Geochemical Data Problem.
IEEE Access
Yasmine Medjadba, Dan Hu, Wei Liu, Xianchuan Yu
2020 J jnl
Construction of non-convex fuzzy sets and its application.
Neurocomputing
Dan Hu, Tao Jiang, Xianchuan Yu
2020 — conf
Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting.
MICCAI (7)
Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Li Wang, Weili Lin, Gang Li, Dinggang Shen
2020 J jnl
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages.
IEEE Trans. Medical Imaging
Dan Hu, Han Zhang, Zhengwang Wu, Fan Wang, Li Wang, J. Keith Smith, Weili Lin, Gang Li, Dinggang Shen
2020 J jnl
Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features.
IEEE J. Biomed. Health Informatics
Dan Hu, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen
2019 J jnl
An interval Type-2 fuzzy sets generation method for remote sensing imagery classification.
Comput. Geosci.
Haihua Xing, Hui He, Dan Hu, Tao Jiang, Xianchuan Yu
2019 — conf
Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction.
MICCAI (4)
Dan Hu, Han Zhang, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen
2019 — conf
Early Development of Infant Brain Complex Network.
MICCAI (2)
Weixiong Jiang, Han Zhang, Li-Ming Hsu, Dan Hu, Guoshi Li, Ye Wu, Dinggang Shen
2019 J jnl
General interval approach for encoding words into interval type-2 fuzzy sets based on normal distribution and free parameter.
Soft Comput.
Zizhou Su, Dan Hu, Xianchuan Yu
2019 C conf
Geologic Body Classification of Hyperspectral Data Based on Dilated Convolution Neural Network at Tianshan Area.
IGARSS
Jin Qin, Yuntao Wang, Runcheng Jiao, Dan Hu, Yuanfei Zhang, Xianchuan Yu, Ying Zhan, Cong Dai, Wang Yao, Kang Wu, Wei Liu, Ying Cao, Xi Zhang, Yasmine Medjadba
2019 C conf
Hyperspectral Image Classification Based on Generative Adversarial Networks with Feature Fusing and Dynamic Neighborhood Voting Mechanism.
IGARSS
Ying Zhan, Yasmine Medjadba, Guian Wang, Xianchuan Yu, Jin Qin, Tao Huang, Kang Wu, Dan Hu, Zhengang Zhao, Yuntao Wang, Ying Cao, Runcheng Jiao
2018 J jnl
Enhanced IT2FCM algorithm using object-based triangular fuzzy set modeling for remote-sensing clustering.
Comput. Geosci.
Tao Jiang, Dan Hu, Xianchuan Yu
2018 J jnl
Semisupervised Hyperspectral Image Classification Based on Generative Adversarial Networks.
IEEE Geosci. Remote. Sens. Lett.
Ying Zhan, Dan Hu, Yuntao Wang, Xianchuan Yu
2017 J jnl
Hyperspectral Band Selection Based on Deep Convolutional Neural Network and Distance Density.
IEEE Geosci. Remote. Sens. Lett.
Ying Zhan, Dan Hu, Haihua Xing, Xianchuan Yu
2017 — conf
Interval approach for encoding words into interval type-2 fuzzy sets based on normal distribution and free parameter.
ICNC-FSKD
Zizhou Su, Dan Hu, Xianchuan Yu
2017 J jnl
Statistical Inference in Rough Set Theory Based on Kolmogorov-Smirnov Goodness-of-Fit Test.
IEEE Trans. Fuzzy Syst.
Dan Hu, Xianchuan Yu, Jiayin Wang
2017 — conf
The construction of non-convex fuzzy sets.
ICNC-FSKD
Dan Hu, Tao Jiang, Xianchuan Yu
2016 J jnl
Remote sensing clustering analysis based on object-based interval modeling.
Comput. Geosci.
Hui He, Tianheng Liang, Dan Hu, Xianchuan Yu
2015 J jnl
A remote sensing image fusion method based on feedback sparse component analysis.
Comput. Geosci.
Jin-dong Xu, Xianchuan Yu, Wenjing Pei, Dan Hu, Li-bao Zhang
2015 C conf
Land Cover Classification Based on Adaptive Interval-Valued Type-2 Fuzzy Clustering Analysis.
KSEM
Hui He, Xianchuan Yu, Dan Hu
2014 J jnl
A fast mixing matrix estimation method in the wavelet domain.
Signal Process.
Jin-dong Xu, Xianchuan Yu, Dan Hu, Li-bao Zhang
2013 J jnl
A new blind image source separation algorithm based on feedback sparse component analysis.
Signal Process.
Xianchuan Xu, Jin-dong Xu, Dan Hu, Haihua Xing
2013 J jnl
Statistical Inference of Rough Set Dependence and Importance Analysis.
IEEE Trans. Fuzzy Syst.
Dan Hu, Xianchuan Yu
2013 Misc conf
The construction of general type-2 fuzzy sets.
GrC
Dan Hu, Tsau Young Lin, Qiang Fan
2012 — conf
Sensitivity Analysis of Fuzzy Inference Neural Network and the Application in Band Selection.
Web Intelligence
Qiang Fan, Dan Hu, Yan Xing
2011 — conf
Reduced error specialization based on the information content of rule set.
FSKD
Dan Hu, Xianchuan Yu, Yuanfu Feng
2010 Misc conf
An improved training algorithm of T-S model HHFNN based on ridge regression function.
ICNC
Xianchuan Yu, Sha Dai, Dan Hu
2009 J jnl
A new training algorithm for HHFNN based on Gaussian membership function for approximation.
Neurocomputing
Shuang Feng, Hongxing Li, Dan Hu
2009 J jnl
The information content of fuzzy relations and fuzzy rules.
Comput. Math. Appl.
Dan Hu, Hongxing Li, Xianchuan Yu
2008 — conf
DbEr: A New Discretization Algorithm Based on the Entropy of Relation.
FSKD (5)
Dan Hu, Xianchuan Yu, Yuanfu Feng
2008 — conf
Distributed Mining Core of Attributes on Horizontally Partitioned Data.
PACIIA (2)
Dan Hu, Xianchuan Yu, Yuanfu Feng
2008 — conf
Randomization Test for Importance Degree of Variables in Rough Set Theory.
PACIIA (2)
Dan Hu, Xianchuan Yu, Yuanfu Feng
2008 J jnl
The information content of rules and rule sets and its application.
Sci. China Ser. F Inf. Sci.
Dan Hu, Hongxing Li, Xianchuan Yu
2007 C conf
The Outer Impartation Information Content of Rules and Rule Sets.
IDEAL
Dan Hu, Yuanfu Feng
2005 — conf
The Entropy of Relations and a New Approach for Decision Tree Learning.
FSKD (2)
Dan Hu, Hongxing Li