Wenlong Hang

Orcid: 0000-0001-8029-3613

According to our database1, Wenlong Hang authored at least 19 papers between 2016 and 2025.

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Bibliography

2025
Pseudo-label guided selective mutual learning for semi-supervised 3D medical image segmentation.
Biomed. Signal Process. Control., 2025

Reliable semi-supervised mutual learning framework for medical image segmentation.
Biomed. Signal Process. Control., 2025

2024
Adaptive Multimodel Knowledge Transfer Matrix Machine for EEG Classification.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

2023
Structure invariance-driven collaborative contrastive network for EEG decoding.
Biomed. Signal Process. Control., September, 2023

Deep stacked least square support matrix machine with adaptive multi-layer transfer for EEG classification.
Biomed. Signal Process. Control., April, 2023

FedEEG: Federated EEG Decoding Via inter-Subject Structure Matching.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Deep EEG feature learning via stacking common spatial pattern and support matrix machine.
Biomed. Signal Process. Control., 2022

Reliability-Aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Selective Transfer Classification Learning With Classification-Error-Based Consensus Regularization.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

A Novel Negative-Transfer-Resistant Fuzzy Clustering Model With a Shared Cross-Domain Transfer Latent Space and its Application to Brain CT Image Segmentation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Blind Ultrasound Images Deblurring Based on Quadratic Sparse Bright Channel Prior.
Proceedings of the ICIGP 2021: The 4th International Conference on Image and Graphics Processing, Sanya, China, 1, 2021

2020
Exploring a rich spatial-temporal dependent relational model for skeleton-based action recognition by bidirectional LSTM-CNN.
Neurocomputing, 2020

Deep stacked support matrix machine based representation learning for motor imagery EEG classification.
Comput. Methods Programs Biomed., 2020

Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Cross-Subject EEG Signal Recognition Using Deep Domain Adaptation Network.
IEEE Access, 2019

2017
Synchronization clustering based on central force optimization and its extension for large-scale datasets.
Knowl. Based Syst., 2017

Semi-supervised learning using hidden feature augmentation.
Appl. Soft Comput., 2017

Performance Evaluation of Walking Imagery Training Based on Virtual Environment in Brain-Computer Interfaces.
Proceedings of the 19th IEEE International Symposium on Multimedia, 2017

2016
Transfer affinity propagation-based clustering.
Inf. Sci., 2016


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