Zhongling Huang

Orcid: 0000-0003-2368-9229

According to our database1, Zhongling Huang authored at least 17 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
SAR-HUB: Pre-Training, Fine-Tuning, and Explaining.
Remote. Sens., December, 2023

Uncertainty Exploration: Toward Explainable SAR Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

Physics Inspired Hybrid Attention for SAR Target Recognition.
CoRR, 2023

Explainable, Physics Aware, Trustworthy AI Paradigm Shift for Synthetic Aperture Radar.
CoRR, 2023

SAR Image Authentic Assessment with Bayesian Deep Learning and Counterfactual Explanations.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

A new Perspective on Physics Guided Learning for SAR Image Interpretation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Learning From Reliable Unlabeled Samples for Semi-Supervised SAR ATR.
IEEE Geosci. Remote. Sens. Lett., 2022

Aleatoric Uncertainty Embedded Transfer Learning for SEA-ICE Classification in SAR Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
HDEC-TFA: An Unsupervised Learning Approach for Discovering Physical Scattering Properties of Single-Polarized SAR Image.
IEEE Trans. Geosci. Remote. Sens., 2021

Classification of Large-Scale High-Resolution SAR Images With Deep Transfer Learning.
IEEE Geosci. Remote. Sens. Lett., 2021

Physically Explainable CNN for SAR Image Classification.
CoRR, 2021

Physics-Aware Feature Learning of Sar Images with Deep Neural Networks: A Case Study.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
What, Where, and How to Transfer in SAR Target Recognition Based on Deep CNNs.
IEEE Trans. Geosci. Remote. Sens., 2020

A Hybrid and Explainable Deep Learning Framework for SAR Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Can a Deep Network Understand the Land Cover Across Sensors?
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2017
Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with Limited Labeled Data.
Remote. Sens., 2017

Airplane Recognition in TerraSAR-X Images via Scatter Cluster Extraction and Reweighted Sparse Representation.
IEEE Geosci. Remote. Sens. Lett., 2017


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