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
Biomed. Signal Process. Control., 2025
2024
IEEE Trans. Neural Networks Learn. Syst., June, 2024
2023
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
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
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
IEEE Access, 2019
2017
Synchronization clustering based on central force optimization and its extension for large-scale datasets.
Knowl. Based Syst., 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