Integration of SNPs-FMRI-methylation data with sparse multi-CCA for schizophrenia study. - Wenxing Hu; Dongdong Lin; Vince D. Calhoun; Yu-Ping Wang 002 (EMBC, 2016)

Multiscale retrieval of winter wheat water content. - Zhizhong Chen; Linna Chai; Wenxing Hu; Xiaojing Liu (IGARSS, 2017)

Improvement on soil freeze/thaw discriminant algorithm under complex surface conditions in cold regions. - Wenxing Hu; Linna Chai; Shaojie Zhao; Tianjie Zhao; Zheng Lu (IGARSS, 2017)

A Thermal Sampling Depth Correction Method for Land Surface Temperature Estimation From Satellite Passive Microwave Observation Over Barren Land. - Ji Zhou 001; Xiaodong Zhang 019; Wenfeng Zhan; Frank-M. Göttsche; Shaomin Liu; Folke-Sören Olesen; Wenxing Hu; Fengnan Dai (IEEE Trans. Geosci. Remote. Sens., 2017)

Vegetation Water Content Estimation for Corn by Means of Inverse Modeling from Simulations of the First-Order Scattering Model. - Wenxing Hu; Linna Chai; Shaojie Zhao (IGARSS, 2018)

Multi-modal Brain Connectivity Study Using Deep Collaborative Learning. - Wenxing Hu; Biao Cai; Vince D. Calhoun; Yu-Ping Wang 002 (GRAIL/Beyond-MIC@MICCAI, 2018)

Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia. - Wenxing Hu; Dongdong Lin; Shaolong Cao; Jingyu Liu 001; Jiayu Chen 003; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2018)

Integrating Imaging Genomic Data in the Quest for Biomarkers of Schizophrenia Disease. - Su-Ping Deng; Wenxing Hu; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Deep Collaborative Learning With Application to the Study of Multimodal Brain Development. - Wenxing Hu; Biao Cai; Aiying Zhang; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2019)

A graph deep learning model for the classification of groups with different IQ using resting state fMRI. - Gang Qu 002; Wenxing Hu; Li Xiao 002; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia. - Gang Li 029; Depeng Han; Chao Wang 042; Wenxing Hu; Vince D. Calhoun; Yu-Ping Wang 002 (Comput. Methods Programs Biomed., 2020)

Interpretable multimodal fusion networks reveal mechanisms of brain cognition. - Wenxing Hu; Xianghe Meng; Yuntong Bai; Aiying Zhang; Biao Cai; Gemeng Zhang; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (CoRR, 2020)

Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM). - Aiying Zhang; Gemeng Zhang; Biao Cai; Wenxing Hu; Li Xiao 002; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (CoRR, 2020)

Biomarker Identification Through Integrating fMRI and Epigenetics. - Yuntong Bai; Pascal Zille; Wenxing Hu; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2020)

Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence. - Aiying Zhang; Biao Cai; Wenxing Hu; Bochao Jia; Faming Liang; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2020)

Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction. - Gang Qu 002; Li Xiao 002; Wenxing Hu; Kun Zhang 012; Vince D. Calhoun; Yu-Ping Wang 002 (CoRR, 2021)

Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. - Gang Qu 002; Li Xiao 002; Wenxing Hu; Junqi Wang 001; Kun Zhang 012; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2021)

A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics. - Aiying Zhang; Jian Fang 001; Wenxing Hu; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition. - Wenxing Hu; Xianghe Meng; Yuntong Bai; Aiying Zhang; Gang Qu 002; Biao Cai; Gemeng Zhang; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2021)

A multi-task two-path deep learning system for predicting the invasiveness of craniopharyngioma. - Lin Zhu; Lingling Zhang; Wenxing Hu; Haixu Chen; Han Li; Shoushui Wei; Xuzhu Chen; Xibo Ma (Comput. Methods Programs Biomed., 2022)

Deep Learning in Neuroimaging: Promises and challenges. - Weizheng Yan; Gang Qu 002; Wenxing Hu; Anees Abrol; Biao Cai; Chen Qiao; Sergey M. Plis; Yu-Ping Wang 002; Jing Sui; Vince D. Calhoun (IEEE Signal Process. Mag., 2022)

Brain Functional Connectivity Analysis via Graphical Deep Learning. - Gang Qu 002; Wenxing Hu; Li Xiao 002; Junqi Wang 001; Yuntong Bai; Beenish Patel; Kun Zhang 012; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2022)

TRR360D: A dataset for 360 degree rotated rectangular box table detection. - Wenxing Hu; Minglei Tong (CoRR, 2023)

Prediction of DNA Methylation based on Multi-dimensional feature encoding and double convolutional fully connected convolutional neural network. - Wenxing Hu; Lixin Guan; Mengshan Li (PLoS Comput. Biol., 2023)

Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity. - Chen Qiao; Bin Gao; Yuechen Liu; Xin-Yu Hu; Wenxing Hu; Vince D. Calhoun; Yu-Ping Wang 002 (Medical Image Anal., 2023)

Monitoring of Single-Track Melting States Based on Photodiode Signal during Laser Powder Bed Fusion. - Longchao Cao; Wenxing Hu; Taotao Zhou; Lianqing Yu; Xufeng Huang (Sensors, 2023)

RTHDet: Rotate Table Area and Head Detection in images. - Wenxing Hu; Minglei Tong (CoRR, 2024)

Parsing Netlists of Integrated Circuits from Images via Graph Attention Network. - Wenxing Hu; Xianke Zhan; Minglei Tong (Sensors, 2024)