Wenxing Hu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Gaussian Graphical Models

Convolutional Network

Top Venues

IEEE Trans. Biomed. Eng.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Wenxing Hu, Xianke Zhan, Minglei Tong
Parsing Netlists of Integrated Circuits from Images via Graph Attention Network. Sensors 24 (1) (2024)
Wenxing Hu, Minglei Tong
RTHDet: Rotate Table Area and Head Detection in images. CoRR (2024)
Chen Qiao, Bin Gao, Yuechen Liu, Xin-Yu Hu, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity. Medical Image Anal. 90 (2023)
Longchao Cao, Wenxing Hu, Taotao Zhou, Lianqing Yu, Xufeng Huang
Monitoring of Single-Track Melting States Based on Photodiode Signal during Laser Powder Bed Fusion. Sensors 23 (24) (2023)
Wenxing Hu, Minglei Tong
T360RRD: A dataset for 360 degree rotated rectangular box table detection. CoRR (2023)
Wenxing Hu, Lixin Guan, Mengshan Li
Prediction of DNA Methylation based on Multi-dimensional feature encoding and double convolutional fully connected convolutional neural network. PLoS Comput. Biol. 19 (8) (2023)
Gang Qu, Wenxing Hu, Li Xiao, Junqi Wang, Yuntong Bai, Beenish Patel, Kun Zhang, Yu-Ping Wang
Brain Functional Connectivity Analysis via Graphical Deep Learning. IEEE Trans. Biomed. Eng. 69 (5) (2022)
Weizheng Yan, Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu-Ping Wang, Jing Sui, Vince D. Calhoun
Deep Learning in Neuroimaging: Promises and challenges. IEEE Signal Process. Mag. 39 (2) (2022)
Lin Zhu, Lingling Zhang, Wenxing Hu, Haixu Chen, Han Li, Shoushui Wei, Xuzhu Chen, Xibo Ma
A multi-task two-path deep learning system for predicting the invasiveness of craniopharyngioma. Comput. Methods Programs Biomed. 216 (2022)
Gang Qu, Li Xiao, Wenxing Hu, Junqi Wang, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. IEEE Trans. Biomed. Eng. 68 (12) (2021)
Wenxing Hu, Xianghe Meng, Yuntong Bai, Aiying Zhang, Gang Qu, Biao Cai, Gemeng Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition. IEEE Trans. Medical Imaging 40 (5) (2021)
Aiying Zhang, Jian Fang, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction. CoRR (2021)
Wenxing Hu, Xianghe Meng, Yuntong Bai, Aiying Zhang, Biao Cai, Gemeng Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Interpretable multimodal fusion networks reveal mechanisms of brain cognition. CoRR (2020)
Gang Qu, Wenxing Hu, Li Xiao, Yu-Ping Wang
A graph deep learning model for the classification of groups with different IQ using resting state fMRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Aiying Zhang, Biao Cai, Wenxing Hu, Bochao Jia, Faming Liang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence. IEEE Trans. Medical Imaging 39 (2) (2020)
Gang Li, Depeng Han, Chao Wang, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia. Comput. Methods Programs Biomed. 183 (2020)
Yuntong Bai, Pascal Zille, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
Biomarker Identification Through Integrating fMRI and Epigenetics. IEEE Trans. Biomed. Eng. 67 (4) (2020)
Aiying Zhang, Gemeng Zhang, Biao Cai, Wenxing Hu, Li Xiao, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM). CoRR (2020)
Wenxing Hu, Biao Cai, Aiying Zhang, Vince D. Calhoun, Yu-Ping Wang
Deep Collaborative Learning With Application to the Study of Multimodal Brain Development. IEEE Trans. Biomed. Eng. 66 (12) (2019)
Wenxing Hu, Linna Chai, Shaojie Zhao
Vegetation Water Content Estimation for Corn by Means of Inverse Modeling from Simulations of the First-Order Scattering Model. IGARSS (2018)
Su-Ping Deng, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
Integrating Imaging Genomic Data in the Quest for Biomarkers of Schizophrenia Disease. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (5) (2018)
Wenxing Hu, Dongdong Lin, Shaolong Cao, Jingyu Liu, Jiayu Chen, Vince D. Calhoun, Yu-Ping Wang
Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia. IEEE Trans. Biomed. Eng. 65 (2) (2018)
Wenxing Hu, Biao Cai, Vince D. Calhoun, Yu-Ping Wang
Multi-modal Brain Connectivity Study Using Deep Collaborative Learning. GRAIL/Beyond-MIC@MICCAI (2018)
Zhizhong Chen, Linna Chai, Wenxing Hu, Xiaojing Liu
Multiscale retrieval of winter wheat water content. IGARSS (2017)
Ji Zhou, Xiaodong Zhang, Wenfeng Zhan, Frank-M. Göttsche, Shaomin Liu, Folke-Sören Olesen, Wenxing Hu, Fengnan Dai
A Thermal Sampling Depth Correction Method for Land Surface Temperature Estimation From Satellite Passive Microwave Observation Over Barren Land. IEEE Trans. Geosci. Remote. Sens. 55 (8) (2017)
Wenxing Hu, Linna Chai, Shaojie Zhao, Tianjie Zhao, Zheng Lu
Improvement on soil freeze/thaw discriminant algorithm under complex surface conditions in cold regions. IGARSS (2017)
Wenxing Hu, Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
Integration of SNPs-FMRI-methylation data with sparse multi-CCA for schizophrenia study. EMBC (2016)