Ruxin Zheng

Orcid: 0009-0004-9842-6946

According to our database1, Ruxin Zheng authored at least 14 papers between 2022 and 2025.

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

Timeline

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Bibliography

2025
Advancing Single-Snapshot DOA Estimation with Siamese Neural Networks for Sparse Linear Arrays.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Advancing High-Resolution and Efficient Automotive Radar Imaging through Domain-Informed 1D Deep Learning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
The Impact of Artificial General Intelligence-Assisted Project-Based Learning on Students' Higher Order Thinking and Self-Efficacy.
IEEE Trans. Learn. Technol., 2024

Supporting Teachers' Professional Development With Generative AI: The Effects on Higher Order Thinking and Self-Efficacy.
IEEE Trans. Learn. Technol., 2024

Research on damage effects of pHEMT low noise amplifiers under HPM injection.
IEICE Electron. Express, 2024

Redefining Automotive Radar Imaging: A Domain-Informed 1D Deep Learning Approach for High-Resolution and Efficient Performance.
CoRR, 2024

Separation of Cardiopulmonary Sound Signals for Classification of Respiratory Diseases.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2024

Antenna Failure Resilience: Deep Learning-Enabled Robust DOA Estimation with Single Snapshot Sparse Arrays.
Proceedings of the 58th Asilomar Conference on Signals, 2024

2023
Deep-Neural-Network-Enabled Vehicle Detection Using High-Resolution Automotive Radar Imaging.
IEEE Trans. Aerosp. Electron. Syst., October, 2023

Deep Learning Based Computationally Efficient Unrolling IAA for Direction-of-Arrival Estimation.
Proceedings of the 31st European Signal Processing Conference, 2023

4D Automotive Radar Exploiting Sparse Array Optimization and Compressive Sensing.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Spectranet: A High Resolution Imaging Radar Deep Neural Network for Autonomous Vehicles.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

A Deep Reinforcement Learning Approach for Integrated Automotive Radar Sensing and Communication.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

A Deep Learning Approach for Doppler Unfolding in Automotive TDM MIMO Radar.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022


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