Risheng Huang

Orcid: 0000-0001-6661-023X

According to our database1, Risheng Huang authored at least 18 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Separable Spatial-Temporal Patch-Tensor Pair Completion for Infrared Small Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

Toward Representing Identical Privacy-Preserving Graph Neural Network via Split Learning.
IEEE Access, 2024

Noise Modeling and Learning-Based Hyperspectral Image Denoising Used for Hyperspectral Unmixing.
Proceedings of the IGARSS 2024, 2024

FusionDreamer: Consistent Images Generation from Sparse-view Images.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
Robust Hyperspectral Unmixing with Practical Learning-Based Hyperspectral Image Denoising.
Remote. Sens., February, 2023

Hyperspectral Unmixing Using Robust Deep Nonnegative Matrix Factorization.
Remote. Sens., 2023

2021
Correntropy-Based Spatial-Spectral Robust Sparsity-Regularized Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2021

Multimodality Functional Magnetic Resonance Imaging Assisted Treatment of Primary Insomnia and Anxiety and Depression.
J. Medical Imaging Health Informatics, 2021

2020
Adaptive Compact Attention For Few-shot Video-to-video Translation.
CoRR, 2020

2019
Spectral-Spatial Robust Nonnegative Matrix Factorization for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2019

Parameterized Nonlinear Least Squares for Unsupervised Nonlinear Spectral Unmixing.
Remote. Sens., 2019

RepGN: Object Detection with Relational Proposal Graph Network.
CoRR, 2019

Two-Dimensional Robust Nonnegative Matrix Factorization for Hyperspectral Unmixing.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Hyperspectral Unmixing Based on Incremental Kernel Nonnegative Matrix Factorization.
IEEE Trans. Geosci. Remote. Sens., 2018

2017
Nonnegative Matrix Factorization With Data-Guided Constraints For Hyperspectral Unmixing.
Remote. Sens., 2017

A novel Bayesian lasso model based on spatial-correlated sparsity for semisupervised hyperspectral unmixing.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Nonnegative matrix factorization with data-guided constraints.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Incremental kernel non-negative matrix factorization for hyperspectral unmixing.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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