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2020 – today
- 2024
[j13]Tao Zhang, Chen-Feng Long, Yang-Jun Deng
, Wei-Ye Wang, Siqiao Tan, Heng-Chao Li:
Low-rank preserving embedding regression for robust image feature extraction. IET Comput. Vis. 18(1): 124-140 (2024)- [j12]Chen-Feng Long, Ya-Ru Li, Yang-Jun Deng, Wei-Ye Wang, Xing-Hui Zhu, Qian Du:
Low-Rank Discriminative Embedding Regression for Robust Feature Extraction of Hyperspectral Images via Weighted Schatten p-Norm Minimization. Remote. Sens. 16(16): 3081 (2024) - [j11]Yang-Jun Deng, Meng-Long Yang, Heng-Chao Li, Chen-Feng Long, Kui Fang, Qian Du:
Feature Dimensionality Reduction With L2,p-Norm-Based Robust Embedding Regression for Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [c4]Lv-Wei Zhang, Yang-Jun Deng, Wei-Ye Wang, Xing-Hui Zhu, Chen-Feng Long:
Dual Linear Regression in Tensor Space for Hyperspectral Image Classification. IGARSS 2024: 9341-9344 - 2023
- [j10]Yang-Jun Deng, Heng-Chao Li, Siqiao Tan, Junhui Hou, Qian Du, Antonio Plaza:
t-Linear Tensor Subspace Learning for Robust Feature Extraction of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [c3]Yun Cheng, Yang-Jun Deng, Wei-Ye Wang, Chen-Feng Long, Xing-Hui Zhu:
Locality Preserved MLP-Mixer for Hyperspectral Image Classification. WHISPERS 2023: 1-5 - 2022
- [j9]Xin Song, Heng-Chao Li, Lei Pan, Yang-Jun Deng, Pu Zhang, Li You, Qian Du:
Unsupervised Robust Projection Learning by Low-Rank and Sparse Decomposition for Hyperspectral Feature Extraction. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j8]Xing-Hui Zhu, Yi Zhou, Meng-Long Yang, Yang-Jun Deng:
Spatial-Spectral Constrained Adaptive Graph for Hyperspectral Image Clustering. Sensors 22(15): 5906 (2022) - [c2]Yang-Jun Deng, Yi Zhou, Wei-Ye Wang, Xing-Hui Zhu, Heng-Chao Li:
Robust Patch Tensor-based Multigraph Embedding for Dimensionality Reduction of Hyperspectral Images. IGARSS 2022: 1149-1152 - 2021
- [j7]Wen-Shuai Hu, Heng-Chao Li, Yang-Jun Deng, Xian Sun, Qian Du, Antonio Plaza:
Lightweight Tensor Attention-Driven ConvLSTM Neural Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Signal Process. 15(3): 734-745 (2021) - [j6]Wei-Ye Wang, Heng-Chao Li, Yang-Jun Deng, Li-Yang Shao, Xiaoqiang Lu, Qian Du:
Generative Adversarial Capsule Network With ConvLSTM for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18(3): 523-527 (2021) - 2020
- [j5]Yang-Jun Deng, Heng-Chao Li, Xin Song, Yong-Jian Sun, Xiangrong Zhang, Qian Du:
Patch Tensor-Based Multigraph Embedding Framework for Dimensionality Reduction of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 58(3): 1630-1643 (2020)
2010 – 2019
- 2018
- [j4]Yang-Jun Deng, Heng-Chao Li, Qi Wang, Qian Du:
Nuclear norm-based matrix regression preserving embedding for face recognition. Neurocomputing 311: 279-290 (2018) - [j3]Yang-Jun Deng, Heng-Chao Li, Lei Pan, Li-Yang Shao, Qian Du, William J. Emery:
Modified Tensor Locality Preserving Projection for Dimensionality Reduction of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 15(2): 277-281 (2018) - [j2]Yang-Jun Deng, Heng-Chao Li, Kun Fu, Qian Du, William J. Emery:
Tensor Low-Rank Discriminant Embedding for Hyperspectral Image Dimensionality Reduction. IEEE Trans. Geosci. Remote. Sens. 56(12): 7183-7194 (2018) - 2017
- [j1]Lei Pan, Heng-Chao Li, Yang-Jun Deng, Fan Zhang, Xiang-dong Chen, Qian Du:
Hyperspectral Dimensionality Reduction by Tensor Sparse and Low-Rank Graph-Based Discriminant Analysis. Remote. Sens. 9(5): 452 (2017) - [c1]Yang-Jun Deng, Heng-Chao Li, Lei Pan, William J. Emery:
Tensor locality preserving projection for hyperspectral image classification. IGARSS 2017: 771-774
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