Ning Huyan
Orcid: 0000-0002-6123-8659
According to our database1,
Ning Huyan
authored at least 14 papers
between 2017 and 2024.
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Bibliography
2024
AUD-Net: A Unified Deep Detector for Multiple Hyperspectral Image Anomaly Detection via Relation and Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Dual-Branch Residual Disentangled Adversarial Learning Network for Facial Expression Recognition.
IEEE Signal Process. Lett., 2024
2022
Element-Wise Feature Relation Learning Network for Cross-Spectral Image Patch Matching.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Image Process., 2022
Cluster-Memory Augmented Deep Autoencoder via Optimal Transportation for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2022
Background Representation Learning With Structural Constraint for Hyperspectral Anomaly Detection.
IEEE Geosci. Remote. Sens. Lett., 2022
2021
IEEE Trans. Image Process., 2021
Spectral-Difference Low-Rank Representation Learning for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2021
2019
Hyperspectral Anomaly Detection via Background and Potential Anomaly Dictionaries Construction.
IEEE Trans. Geosci. Remote. Sens., 2019
AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
Spatial-Spectral Graph-Based Nonlinear Embedding Dimensionality Reduction for Hyperspectral Image Classificaiton.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Hyper-Laplacian Regularized Low-Rank Tensor Decomposition for Hyperspectral Anomaly Detection.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Recursive Autoencoders-Based Unsupervised Feature Learning for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2017