Ning Huyan

According to our database, Ning Huyan authored at least 17 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

RegistrationMamba: A Mamba-based Registration Framework Integrating Multi-Expert Feature Learning for Cross-Modal Remote Sensing Images.

Wei Wang, Dou Quan, Chonghua Lv, Shuang Wang, Ning Huyan, Yunan Li, Licheng Jiao

CoRR, July, 2025

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection.

Dou Quan, Rufan Zhou, Shuang Wang, Ning Huyan, Dong Zhao, Yunan Li, Licheng Jiao

CoRR, April, 2025

Burden-Free Distillation From Foundation Model for Efficient Remote Sensing Change Detection.

Shuang Wang, Chonghua Lv, Dou Quan, Ning Huyan, Xianwei Cao, Jingxi Sun, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2025

2024

AUD-Net: A Unified Deep Detector for Multiple Hyperspectral Image Anomaly Detection via Relation and Few-Shot Learning.

Ning Huyan, Xiangrong Zhang, Dou Quan, Jocelyn Chanussot, Licheng Jiao

IEEE Trans. Neural Networks Learn. Syst., May, 2024

A Concurrent Multiscale Detector for End-to-End Image Matching.

Dou Quan, Shuang Wang, Ning Huyan, Yi Li, Ruiqi Lei, Jocelyn Chanussot, Biao Hou, Licheng Jiao

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Dual-Branch Residual Disentangled Adversarial Learning Network for Facial Expression Recognition.

Puhua Chen, Zhe Wang, Shasha Mao, Xinyue Hui, Ning Huyan

IEEE Signal Process. Lett., 2024

2022

Element-Wise Feature Relation Learning Network for Cross-Spectral Image Patch Matching.

Dou Quan, Shuang Wang, Ning Huyan, Jocelyn Chanussot, Ruojing Wang, Xuefeng Liang, Biao Hou, Licheng Jiao

IEEE Trans. Neural Networks Learn. Syst., 2022

Unsupervised Outlier Detection Using Memory and Contrastive Learning.

Ning Huyan, Dou Quan, Xiangrong Zhang, Xuefeng Liang, Jocelyn Chanussot, Licheng Jiao

IEEE Trans. Image Process., 2022

Cluster-Memory Augmented Deep Autoencoder via Optimal Transportation for Hyperspectral Anomaly Detection.

Ning Huyan, Xiangrong Zhang, Dou Quan, Jocelyn Chanussot, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2022

Background Representation Learning With Structural Constraint for Hyperspectral Anomaly Detection.

Xiaoxiao Ma, Xiangrong Zhang, Ning Huyan, Jing Gu, Xu Tang, Licheng Jiao

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Multi-Relation Attention Network for Image Patch Matching.

Dou Quan, Shuang Wang, Yi Li, Bowu Yang, Ning Huyan, Jocelyn Chanussot, Biao Hou, Licheng Jiao

IEEE Trans. Image Process., 2021

Spectral-Difference Low-Rank Representation Learning for Hyperspectral Anomaly Detection.

Xiangrong Zhang, Xiaoxiao Ma, Ning Huyan, Jing Gu, Xu Tang, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2021

2019

Hyperspectral Anomaly Detection via Background and Potential Anomaly Dictionaries Construction.

Ning Huyan, Xiangrong Zhang, Huiyu Zhou, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2019

AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching.

Dou Quan, Xuefeng Liang, Shuang Wang, Shaowei Wei, Yanfeng Li, Ning Huyan, Licheng Jiao

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.

Xiangrong Zhang, Yaru Han, Ning Huyan, Chen Li, Jie Feng, Li Gao, Xiaoxiao Ma

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Hyper-Laplacian Regularized Low-Rank Tensor Decomposition for Hyperspectral Anomaly Detection.

Xiaoxiao Ma, Xiangrong Zhang, Ning Huyan, Xu Tang, Biao Hou, Licheng Jiao

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Recursive Autoencoders-Based Unsupervised Feature Learning for Hyperspectral Image Classification.

Xiangrong Zhang, Yanjie Liang, Chen Li, Ning Huyan, Licheng Jiao, Huiyu Zhou

IEEE Geosci. Remote. Sens. Lett., 2017