Wenxing Hu

Orcid: 0000-0002-3041-3573

According to our database1, Wenxing Hu authored at least 28 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Parsing Netlists of Integrated Circuits from Images via Graph Attention Network.
Sensors, 2024

RTHDet: Rotate Table Area and Head Detection in images.
CoRR, 2024

2023
Monitoring of Single-Track Melting States Based on Photodiode Signal during Laser Powder Bed Fusion.
Sensors, December, 2023

Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity.
Medical Image Anal., December, 2023

Prediction of DNA Methylation based on Multi-dimensional feature encoding and double convolutional fully connected convolutional neural network.
PLoS Comput. Biol., 2023

TRR360D: A dataset for 360 degree rotated rectangular box table detection.
CoRR, 2023

2022
Brain Functional Connectivity Analysis via Graphical Deep Learning.
IEEE Trans. Biomed. Eng., 2022

Deep Learning in Neuroimaging: Promises and challenges.
IEEE Signal Process. Mag., 2022

A multi-task two-path deep learning system for predicting the invasiveness of craniopharyngioma.
Comput. Methods Programs Biomed., 2022

2021
Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition.
IEEE Trans. Medical Imaging, 2021

A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction.
IEEE Trans. Biomed. Eng., 2021

Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction.
CoRR, 2021

2020
Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence.
IEEE Trans. Medical Imaging, 2020

Biomarker Identification Through Integrating fMRI and Epigenetics.
IEEE Trans. Biomed. Eng., 2020

Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM).
CoRR, 2020

Interpretable multimodal fusion networks reveal mechanisms of brain cognition.
CoRR, 2020

Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia.
Comput. Methods Programs Biomed., 2020

A graph deep learning model for the classification of groups with different IQ using resting state fMRI.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019
Deep Collaborative Learning With Application to the Study of Multimodal Brain Development.
IEEE Trans. Biomed. Eng., 2019

2018
Integrating Imaging Genomic Data in the Quest for Biomarkers of Schizophrenia Disease.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia.
IEEE Trans. Biomed. Eng., 2018

Multi-modal Brain Connectivity Study Using Deep Collaborative Learning.
Proceedings of the Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities, 2018

Vegetation Water Content Estimation for Corn by Means of Inverse Modeling from Simulations of the First-Order Scattering Model.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
A Thermal Sampling Depth Correction Method for Land Surface Temperature Estimation From Satellite Passive Microwave Observation Over Barren Land.
IEEE Trans. Geosci. Remote. Sens., 2017

Improvement on soil freeze/thaw discriminant algorithm under complex surface conditions in cold regions.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Multiscale retrieval of winter wheat water content.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Integration of SNPs-FMRI-methylation data with sparse multi-CCA for schizophrenia study.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016


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