Hexuan Hu

Orcid: 0000-0002-4328-0693

Affiliations:
  • Hohai University, College of Computer and Information, Key Laboratory of Water Big Data Technology of Ministry of Water Resources, China
  • Tibet Agricultural and Animal Husbandry College, Department of Electrical Engineering, Tibet, China
  • Lille University of Science and Technology, School of automation science, computer engineering and signal processing, Villeneuve-d'Ascq, France (PhD 2009)


According to our database1, Hexuan Hu authored at least 30 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
A Framework of Decentralized Federated Learning With Soft Clustering and 1-Bit Compressed Sensing for Vehicular Networks.
IEEE Internet Things J., July, 2024

Multi-Source Information Fusion Based DLaaS for Traffic Flow Prediction.
IEEE Trans. Computers, April, 2024

A Real-Time Bearing Fault Diagnosis Model Based on Siamese Convolutional Autoencoder in Industrial Internet of Things.
IEEE Internet Things J., February, 2024

Federated learning enabled graph convolutional autoencoder and factorization machine for potential friendship prediction in social networks.
Inf. Fusion, February, 2024

A Multi-Layer Model Based on Transformer and Deep Learning for Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst., January, 2024

PATrans: Pixel-Adaptive Transformer for edge segmentation of cervical nuclei on small-scale datasets.
Comput. Biol. Medicine, January, 2024

An efficient Fusion-Purification Network for Cervical pap-smear image classification.
Comput. Methods Programs Biomed., 2024

CNAC-Seg: Effective segmentation for cervical nuclei in adherent cells and clusters via exploring gaps of receptive fields.
Biomed. Signal Process. Control., 2024

2023
A Masked One-Dimensional Convolutional Autoencoder for Bearing Fault Diagnosis Based on Digital Twin Enabled Industrial Internet of Things.
IEEE J. Sel. Areas Commun., October, 2023

HR-ASPP: An improved semantic segmentation model of cervical nucleus images with accurate spatial localization and better shape feature extraction based on Deeplabv3+.
Proceedings of the 15th International Conference on Digital Image Processing, 2023

Rainfall spatiotemporal interpolation method based on CNN-GRU with attention.
Proceedings of the 15th International Conference on Digital Image Processing, 2023

Pedestrian target detection on high-speed pavement using improved YOLOv5.
Proceedings of the 15th International Conference on Digital Image Processing, 2023

2022
Potential friendship discovery in social networks based on hybrid ensemble multiple collaborative filtering models in a 5G network environment.
Digit. Commun. Networks, December, 2022

Deep-Learning-Based Mobile Group Intelligence Perception Mechanism Oriented to User Privacy and Data Security in the Internet of Things.
IEEE Wirel. Commun., 2022

Attention Mechanism With Spatial-Temporal Joint Model for Traffic Flow Speed Prediction.
IEEE Trans. Intell. Transp. Syst., 2022

Learning Group-Disentangled Representation for Interpretable Thoracic Pathologic Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Multimodal Brain Tumor Segmentation Based on an Intelligent UNET-LSTM Algorithm in Smart Hospitals.
ACM Trans. Internet Techn., 2021

Parallel Deep Learning Algorithms With Hybrid Attention Mechanism for Image Segmentation of Lung Tumors.
IEEE Trans. Ind. Informatics, 2021

Network Representation Learning-Enhanced Multisource Information Fusion Model for POI Recommendation in Smart City.
IEEE Internet Things J., 2021

Automatic hyperspectral Image Classification based on Deep Feature fusion Network.
Int. J. Robotics Autom., 2021

2020
Vehicular Ad Hoc Network Representation Learning for Recommendations in Internet of Things.
IEEE Trans. Ind. Informatics, 2020

2019
Comprehensive Driver State Recognition Based on Deep Learning and PERCLOS Criterion.
Proceedings of the 19th IEEE International Conference on Communication Technology, 2019

2018
Application of the Bionic Concept in Reducing the Complexity Noise and Drag of the Mega High-Speed Train Based on Computer Simulation Technologies.
Complex., 2018

Complexity Analysis on the Aerodynamic Performance of the Mega High-Speed Train Caused by the Wind Barrier on the Embankment.
Complex., 2018

2017
Intelligent Fault Diagnosis of the High-Speed Train With Big Data Based on Deep Neural Networks.
IEEE Trans. Ind. Informatics, 2017

Numerical optimization and experimental research on listening environment of crew based on neural networks.
Neurocomputing, 2017

2012
A self-updating model for analysing system reconfigurability.
Eng. Appl. Artif. Intell., 2012

2009
An extended qualitative multi-faults diagnosis from first principles II: Algorithm and case study.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

An extended qualitative multi-faults diagnosis from first principles I: Theory and modelling.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
A formal framework of reconfigurable control based on model checking.
Proceedings of the American Control Conference, 2008


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