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ORCIDNan Huang 0001
Person information
- affiliation: Nanjing University of Posts and Telecommunications, School of Computer Science, China
- affiliation (PhD 2022): Nanjing University of Science and Technology, School of Computer Science and Engineering, China
Other persons with the same name
- Nan Huang — disambiguation page
- Nan Huang 0002 — Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, China
- Nan Huang 0003 — Nanjing Normal University, School of Geography, China
- Nan Huang 0004 — University of North Carolina at Charlotte, Department of Computer Science, NC, USA
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2020 – today
- 2026
[j10]Pengfei Liu
, Liping Sun, Yihang Du, Nan Huang, Zhizhong Zheng, Liang Xiao:
A Novel Panchromatic-Guided Tensor Low-Rank Model for Multispectral Image Sharpening. IEEE Signal Process. Lett. 33: 1255-1259 (2026)- 2025
- [j9]Pengfei Liu, Haijian Long, Zhizhong Zheng, Nan Huang, Liang Xiao:
Gradient Subspace-Regularized Hyperspectral Image and Stripe-Coupled Nonconvex Tensor Low-Rank Priors for Destriping and Denoising. IEEE Trans. Geosci. Remote. Sens. 63: 1-18 (2025) - 2024
- [j8]Kang Ni, Chunyang Yuan, Zhizhong Zheng, Nan Huang, Peng Wang:
DPGUNet: A Dynamic Pyramidal Graph U-Net for SAR Image Classification. IEEE Trans. Aerosp. Electron. Syst. 60(4): 5247-5263 (2024) - [j7]Qichao Liu, Liang Xiao, Nan Huang, Jinhui Tang:
Composite Neighbor-Aware Convolutional Metric Networks for Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9297-9311 (2024) - 2023
- [j6]Nan Huang, Liang Xiao, Qichao Liu, Jocelyn Chanussot:
S2DMSC: A Self-Supervised Deep Multilevel Subspace Clustering Approach for Large Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j5]Qichao Liu, Liang Xiao, Nan Huang, Jinhui Tang:
Learning Transferable Discriminative Knowledge From Attribute-Aligned Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - 2022
- [j4]Nan Huang, Liang Xiao, Jianjun Liu, Jocelyn Chanussot:
Graph Convolutional Sparse Subspace Coclustering With Nonnegative Orthogonal Factorization for Large Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j3]Nan Huang, Liang Xiao, Yang Xu, Jocelyn Chanussot:
A Bipartite Graph Partition-Based Coclustering Approach With Graph Nonnegative Matrix Factorization for Large Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - 2020
- [c6]Siyu Liu, Nan Huang, Liang Xiao:
Locally Constrained Collaborative Representation Based Fisher's LDA for Clustering of Hyperspectral Images. IGARSS 2020: 1046-1049
2010 – 2019
- 2019
- [j2]Nan Huang, Liang Xiao:
Hyperspectral image clustering via sparse dictionary-based anchored regression. IET Image Process. 13(2): 261-269 (2019) - [j1]Nan Huang, Liang Xiao, Yang Xu:
Bipartite Graph Partition Based Coclustering With Joint Sparsity for Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 4698-4711 (2019) - [c5]Nan Huang, Liang Xiao, Songze Tang, Qichao Liu:
Clustering Hyperspectral Images Via Sparse Dictionary Learning with Joint Sparsity and Shared Wavelets. IGARSS 2019: 803-806 - [c4]Qichao Liu, Liang Xiao, Pengfei Liu, Nan Huang:
Data Augmentation and Refining with Steering Stencils for Supervised Classification of Hyperspectral Image. IGARSS 2019: 2746-2749 - 2017
- [c3]Zhixin Li, Yu Shen, Nan Huang, Liang Xiao:
Supervised classification of hyperspectral images via heterogeneous deep neural networks. IGARSS 2017: 1812-1815 - [c2]Jinhuan Xu, Nan Huang, Liang Xiao:
Spectral-spatial subspace clustering for hyperspectral images VIA modulated low-rank representation. IGARSS 2017: 3202-3205 - [c1]Nie Li, Nan Huang, Liang Xiao:
PAN-Sharpening via residual deep learning. IGARSS 2017: 5133-5136
Coauthor Index
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