Qiang Li

Orcid: 0000-0002-2870-4101

Affiliations:
  • Northwestern Polytechnical University, Department of Applied Physics, Xi'an, China (since 2019)
  • Chinese Academy of Sciences, Institute of Theoretical Physics, Beijing, China (since 2017)
  • Harbin Institute of Technology, Department of Physics, China (since 2013)


According to our database1, Qiang Li authored at least 12 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
A Proposal to the '12 vs. 32 Puzzle'.
Symmetry, July, 2023

2022
A heterogeneous double ensemble algorithm for soybean planting area extraction in Google Earth Engine.
Comput. Electron. Agric., 2022

A Multi-Level Synergistic Image Decomposition Algorithm for Remote Sensing Image Fusion.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

A Novel Spatial-Spectral Random Forest Algorithm for Pine WILT Monitoring.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Remote Sensing Image Fusion Technology Based on DSP.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
SMOTE-Based Weighted Deep Rotation Forest for the Imbalanced Hyperspectral Data Classification.
Remote. Sens., 2021

Semi-supervised rotation forest based on ensemble margin theory for the classification of hyperspectral image with limited training data.
Inf. Sci., 2021

Imbalanced Multi-Class Classification of Hyperspectral Image Based on Smote and Deep Rotation Forest.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Ensemble CNN with Enhanced Feature Subspaces for Imbalanced Hyperspectral Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Ensemble CNN Based on Pixel-Pair and Random Feature Selection for Hyperspectral Image Classification with Small-Size Training Set.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Two-Step Ensemble Based Class Noise Cleaning Method for Hyperspectral Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019


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