Ying Qu - Concepedia

Author

Ying Qu

University of Tennessee at Knoxville ORCID

Also Known As

Qu Ying, Qu, Y., Qu, Ying, Y. Qu, Ying QU, Ying Qu, Ying Qu (437588)

222

Publications

2.7K

Citations

H-Index

Concepts

All Affiliations

University of Tennessee at Knoxville Chinese Academy of Sciences Beijing Normal University Aerospace Information Research Institute University of Chinese Academy of Sciences

About

Ying Qu is an author at University of Tennessee at Knoxville specializing in engineering, data science, and computer vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	19	28	1.9K
2	Business	1	1	12
3	Medicine	1	1	24
4	Natural Sciences	1	1	24
5	Cell Biology	1	1	24

Ying Qu

Publications

2.4K

Citations

H-Index

Page 1

	Year	Citations
Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification Yuxiang Zhang, Wei Li, Mengmeng Zhang, IEEE Transactions on Neural Networks and Learning Systems Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningMultispectral Imaging	2021	270
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution Ying Qu, Hairong Qi, Chiman Kwan High ResolutionEngineeringMachine LearningAutoencodersSuper-resolution Imaging	2018	254
uDAS: An Untied Denoising Autoencoder With Sparsity for Spectral Unmixing Ying Qu, Hairong Qi IEEE Transactions on Geoscience and Remote Sensing Convolutional Neural NetworkEngineeringMachine LearningAutoencodersSparse Imaging	2018	229
Prior-Based Tensor Approximation for Anomaly Detection in Hyperspectral Imagery Lu Li, Wei Li, Ying Qu, IEEE Transactions on Neural Networks and Learning Systems	2020	217
Hyperspectral Anomaly Detection Through Spectral Unmixing and Dictionary-Based Low-Rank Decomposition Ying Qu, Wei Wang, Rui Guo, IEEE Transactions on Geoscience and Remote Sensing Spectral TheoryAnomaly DetectionEngineeringUnsupervised Machine LearningImage Analysis	2018	203
Siamese Transformer Network for Hyperspectral Image Target Detection Weiqiang Rao, Lianru Gao, Ying Qu, IEEE Transactions on Geoscience and Remote Sensing Siamese NetworkEngineeringMachine LearningMultispectral ImagingImage Classification	2022	124
Frequency‐to‐spectrum mapping GAN for semisupervised hyperspectral anomaly detection Degang Wang, Lianru Gao, Ying Qu, CAAI Transactions on Intelligence Technology Image AnalysisMachine LearningData ScienceAnomaly DetectionFrequency‐to‐spectrum Mapping Gan	2023	94
Target Detection Through Tree-Structured Encoding for Hyperspectral Images Xiaotong Sun, Ying Qu, Lianru Gao, IEEE Transactions on Geoscience and Remote Sensing Binary TreesEngineeringMachine LearningFeature DetectionMultispectral Imaging	2020	80
Transferable network with Siamese architecture for anomaly detection in hyperspectral images Weiqiang Rao, Ying Qu, Lianru Gao, International Journal of Applied Earth Observation and Geoinformation Anomaly DetectionMachine LearningAnomaly Detection AlgorithmsEngineeringUnsupervised Machine Learning	2021	79
DOES multispectral / hyperspectral pansharpening improve the performance of anomaly detection? Ying Qu, Hairong Qi, Bulent Ayhan, Anomaly DetectionMachine LearningHigh Resolution ImagesEngineeringMultispectral Imaging	2017	75

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