Yunqiao Hu

Orcid: 0000-0001-6153-2105

According to our database1, Yunqiao Hu authored at least 13 papers between 2022 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Model-Based Learning for DOA Estimation With One-Bit Single-Snapshot Sparse Arrays.
IEEE J. Sel. Top. Signal Process., September, 2025

Collaborative Automotive Radar Sensing via Mixed-Precision Distributed Array Completion.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Fast and Interpretable Sparse Array Reconstruction Via Broad Neural Networks for Automotive Radar.
Proceedings of the 10th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2025

Advancing Subspace Representation Learning for DOA Estimation Using Sparse Arrays.
Proceedings of the 59th Asilomar Conference on Signals, 2025

2024
Technical Report: Towards Spatial Feature Regularization in Deep-Learning-Based Array-SAR Reconstruction.
CoRR, 2024

IHT-Inspired Neural Network for Single-Snapshot DOA Estimation with Sparse Linear Arrays.
Proceedings of the IEEE International Conference on Acoustics, 2024

Enhancing Off-Grid One-Bit DOA Estimation with Learning-Based Sparse Bayesian Approach for Non-Uniform Sparse Array.
Proceedings of the 58th Asilomar Conference on Signals, 2024

2022
A 3-D Sparse SAR Imaging Method Based on Plug-and-Play.
IEEE Trans. Geosci. Remote. Sens., 2022

A Sparse-Model-Driven Network for Efficient and High-Accuracy InSAR Phase Filtering.
Remote. Sens., 2022

An Insar Phase Filtering Method based on Transformer Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

A Sparse Model-Based Network for Interferometric Phase Denoising.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Aetomo-Net: A Novel Deep Learning Network for Tomographic Sar Imaging Based on Multi-Dimensional Features.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Adatomo-Net: a Novel Deep Learning Approach for SAR Tomography Imaging and Autofocusing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022


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