Jing Yao

Orcid: 0000-0003-1301-9758

Affiliations:
  • Xi'an Jiaotong University, School of Mathematics and Statistics, China


According to our database1, Jing Yao authored at least 47 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Learnable Representative Coefficient Image Denoiser for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 2024

Low-Rank Representations Meets Deep Unfolding: A Generalized and Interpretable Network for Hyperspectral Anomaly Detection.
CoRR, 2024

2023
Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework.
IEEE Trans. Geosci. Remote. Sens., 2023

UCSL: Toward Unsupervised Common Subspace Learning for Cross-Modal Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Learning Double Subspace Representation for Joint Hyperspectral Anomaly Detection and Noise Removal.
IEEE Trans. Geosci. Remote. Sens., 2023

LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion.
IEEE Trans. Geosci. Remote. Sens., 2023

Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Multispectral Image Noise Removal With Adaptive Loss and Multiple Image Priors Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

SpectralGPT: Spectral Foundation Model.
CoRR, 2023

Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks.
CoRR, 2023

2022
Orthogonal Super Greedy Learning for Sparse Feedforward Neural Networks.
IEEE Trans. Netw. Sci. Eng., 2022

Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing.
IEEE Trans. Neural Networks Learn. Syst., 2022

Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2022

Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

SpectralFormer: Rethinking Hyperspectral Image Classification With Transformers.
IEEE Trans. Geosci. Remote. Sens., 2022

Multimodal Hyperspectral Unmixing: Insights From Attention Networks.
IEEE Trans. Geosci. Remote. Sens., 2022

A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Progress and Challenges in Intelligent Remote Sensing Satellite Systems.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Hyperspectral Image Classification - Traditional to Deep Models: A Survey for Future Prospects.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Deep Unsupervised Blind Hyperspectral and Multispectral Data Fusion.
IEEE Geosci. Remote. Sens. Lett., 2022

PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field.
IEEE Geosci. Remote. Sens. Lett., 2022

Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review.
CoRR, 2022

Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution with Subpixel Fusion.
CoRR, 2022

Deep learning in multimodal remote sensing data fusion: A comprehensive review.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Multimodal Hyperspectral Unmixing via Attention Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Multimodal GANs: Toward Crossmodal Hyperspectral-Multispectral Image Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2021

Graph Convolutional Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2021

More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification.
IEEE Trans. Geosci. Remote. Sens., 2021

Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning.
IEEE Trans. Geosci. Remote. Sens., 2021

An Enhanced 3-D Discrete Wavelet Transform for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2021

Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model.
CoRR, 2021

Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing.
CoRR, 2021

Revisiting Graph Convolutional Networks with Mini-Batch Sampling for Hyperspectral Image Classification.
Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021

A Unified Multimodal Deep Learning Framework For Remote Sensing Imagery Classification.
Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021

Multimodal Convolutional Neural Networks with Cross-Channel Reconstruction.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Hyperspectral Image Classification With Convolutional Neural Network and Active Learning.
IEEE Trans. Geosci. Remote. Sens., 2020

Robust Fine Registration of Multisensor Remote Sensing Images Based on Enhanced Subpixel Phase Correlation.
Sensors, 2020

Spatial-Spectral Manifold Embedding of Hyperspectral Data.
CoRR, 2020

Locally Linear Reconstruction for Spectral Enhancement Using Limited Pixel-to-Pixel Multispectral and Hyperspectral Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Unsupervised Hyperspectral Embedding by Learning a Deep Regression Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing.
IEEE Trans. Image Process., 2019

2018
A Robust PCA Approach With Noise Structure Learning and Spatial-Spectral Low-Rank Modeling for Hyperspectral Image Restoration.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

A tensor-based nonlocal total variation model for multi-channel image recovery.
Signal Process., 2018

Robust subspace clustering via penalized mixture of Gaussians.
Neurocomputing, 2018


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