Yang-Jun Deng

According to our database, Yang-Jun Deng authored at least 17 papers between 2017 and 2024.

Collaborative distances:

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

2024

Low-Rank Discriminative Embedding Regression for Robust Feature Extraction of Hyperspectral Images via Weighted Schatten p-Norm Minimization.

Chen-Feng Long, Ya-Ru Li, Yang-Jun Deng, Wei-Ye Wang, Xing-Hui Zhu, Qian Du

Remote. Sens., August, 2024

Low-rank preserving embedding regression for robust image feature extraction.

Tao Zhang, Chen-Feng Long, Yang-Jun Deng, Wei-Ye Wang, Siqiao Tan, Heng-Chao Li

IET Comput. Vis., February, 2024

Feature Dimensionality Reduction With L2,p-Norm-Based Robust Embedding Regression for Classification of Hyperspectral Images.

Yang-Jun Deng, Meng-Long Yang, Heng-Chao Li, Chen-Feng Long, Kui Fang, Qian Du

IEEE Trans. Geosci. Remote. Sens., 2024

Dual Linear Regression in Tensor Space for Hyperspectral Image Classification.

Lv-Wei Zhang, Yang-Jun Deng, Wei-Ye Wang, Xing-Hui Zhu, Chen-Feng Long

Proceedings of the IGARSS 2024, 2024

2023

t-Linear Tensor Subspace Learning for Robust Feature Extraction of Hyperspectral Images.

Yang-Jun Deng, Heng-Chao Li, Siqiao Tan, Junhui Hou, Qian Du, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 2023

Locality Preserved MLP-Mixer for Hyperspectral Image Classification.

Yun Cheng, Yang-Jun Deng, Wei-Ye Wang, Chen-Feng Long, Xing-Hui Zhu

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

2022

Spatial-Spectral Constrained Adaptive Graph for Hyperspectral Image Clustering.

Xing-Hui Zhu, Yi Zhou, Meng-Long Yang, Yang-Jun Deng

Sensors, 2022

Unsupervised Robust Projection Learning by Low-Rank and Sparse Decomposition for Hyperspectral Feature Extraction.

Xin Song, Heng-Chao Li, Lei Pan, Yang-Jun Deng, Pu Zhang, Li You, Qian Du

IEEE Geosci. Remote. Sens. Lett., 2022

Robust Patch Tensor-based Multigraph Embedding for Dimensionality Reduction of Hyperspectral Images.

Yang-Jun Deng, Yi Zhou, Wei-Ye Wang, Xing-Hui Zhu, Heng-Chao Li

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Generative Adversarial Capsule Network With ConvLSTM for Hyperspectral Image Classification.

Wei-Ye Wang, Heng-Chao Li, Yang-Jun Deng, Li-Yang Shao, Xiaoqiang Lu, Qian Du

IEEE Geosci. Remote. Sens. Lett., 2021

Lightweight Tensor Attention-Driven ConvLSTM Neural Network for Hyperspectral Image Classification.

Wen-Shuai Hu, Heng-Chao Li, Yang-Jun Deng, Xian Sun, Qian Du, Antonio Plaza

IEEE J. Sel. Top. Signal Process., 2021

2020

Patch Tensor-Based Multigraph Embedding Framework for Dimensionality Reduction of Hyperspectral Images.

Yang-Jun Deng, Heng-Chao Li, Xin Song, Yong-Jian Sun, Xiangrong Zhang, Qian Du

IEEE Trans. Geosci. Remote. Sens., 2020

2018

Tensor Low-Rank Discriminant Embedding for Hyperspectral Image Dimensionality Reduction.

Yang-Jun Deng, Heng-Chao Li, Kun Fu, Qian Du, William J. Emery

IEEE Trans. Geosci. Remote. Sens., 2018

Modified Tensor Locality Preserving Projection for Dimensionality Reduction of Hyperspectral Images.

Yang-Jun Deng, Heng-Chao Li, Lei Pan, Li-Yang Shao, Qian Du, William J. Emery

IEEE Geosci. Remote. Sens. Lett., 2018

Nuclear norm-based matrix regression preserving embedding for face recognition.

Yang-Jun Deng, Heng-Chao Li, Qi Wang, Qian Du

Neurocomputing, 2018

2017

Hyperspectral Dimensionality Reduction by Tensor Sparse and Low-Rank Graph-Based Discriminant Analysis.

Lei Pan, Heng-Chao Li, Yang-Jun Deng, Fan Zhang, Xiang-dong Chen, Qian Du

Remote. Sens., 2017

Tensor locality preserving projection for hyperspectral image classification.

Yang-Jun Deng, Heng-Chao Li, Lei Pan, William J. Emery

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017