Huali Li

According to our database1, Huali Li authored at least 11 papers between 2011 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Classification and Quantification of Emphysema Using a Multi-Scale Residual Network.
IEEE J. Biomedical and Health Informatics, 2019

2018
An Automatic Sparse Pruning Endmember Extraction Algorithm with a Combined Minimum Volume and Deviation Constraint.
Remote Sensing, 2018

Intelligent Map Reader: A Framework for Topographic Map Understanding With Deep Learning and Gazetteer.
IEEE Access, 2018

Hyperspectral Image Denoising With Group Sparse and Low-Rank Tensor Decomposition.
IEEE Access, 2018

Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Classification of Pulmonary Emphysema in CT Images Based on Multi-Scale Deep Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Semantic classification for hyperspectral image by integrating distance measurement and relevance vector machine.
Multimedia Syst., 2017

2016
Spectral Similarity Assessment Based on a Spectrum Reflectance-Absorption Index and Simplified Curve Patterns for Hyperspectral Remote Sensing.
Sensors, 2016

2015
Adaptive endmember extraction based sparse nonnegative matrix factorization with spatial local information.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Hyperspectral Image Unmixing Based on Sparse and Minimum Volume Constrained Nonnegative Matrix Factorization.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

2011
A Hybrid Automatic Endmember Extraction Algorithm Based on a Local Window.
IEEE Trans. Geoscience and Remote Sensing, 2011


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