A Deep Learning Approach for Doppler Unfolding in Automotive TDM MIMO Radar. - Ruxin Zheng; Hongshan Liu; Shunqiao Sun (IEEECONF, 2022)

A Deep Reinforcement Learning Approach for Integrated Automotive Radar Sensing and Communication. - Lifan Xu; Ruxin Zheng; Shunqiao Sun (SAM, 2022)

Spectranet: A High Resolution Imaging Radar Deep Neural Network for Autonomous Vehicles. - Ruxin Zheng; Shunqiao Sun; David Scharff; Teresa Wu (SAM, 2022)

4D Automotive Radar Exploiting Sparse Array Optimization and Compressive Sensing. - Ruxin Zheng; Shunqiao Sun; Wesley Kuo; Theagenis J. Abatzoglou; Matthew Markel (ACSSC, 2023)

Deep Learning Based Computationally Efficient Unrolling IAA for Direction-of-Arrival Estimation. - Ruxin Zheng; Hongshan Liu; Shunqiao Sun; Jian Li (EUSIPCO, 2023)

Deep-Neural-Network-Enabled Vehicle Detection Using High-Resolution Automotive Radar Imaging. - Ruxin Zheng; Shunqiao Sun; Hongshan Liu; Teresa Wu (IEEE Trans. Aerosp. Electron. Syst., 2023)

Antenna Failure Resilience: Deep Learning-Enabled Robust DOA Estimation with Single Snapshot Sparse Arrays. - Ruxin Zheng; Shunqiao Sun; Hongshan Liu; Honglei Chen; Mojtaba Soltanalian; Jian Li 001 (IEEECONF, 2024)

Separation of Cardiopulmonary Sound Signals for Classification of Respiratory Diseases. - Ruxin Zheng; Saeid Sanei (APSIPA, 2024)

Redefining Automotive Radar Imaging: A Domain-Informed 1D Deep Learning Approach for High-Resolution and Efficient Performance. - Ruxin Zheng; Shunqiao Sun; Holger Caesar; Honglei Chen; Jian Li (CoRR, 2024)

Research on damage effects of pHEMT low noise amplifiers under HPM injection. - Ruxin Zheng; Zhicheng Xue; Chengjie Li; Shiping Tang (IEICE Electron. Express, 2024)

Supporting Teachers' Professional Development With Generative AI: The Effects on Higher Order Thinking and Self-Efficacy. - Jijian Lu; Ruxin Zheng; Zikun Gong; Huifen Xu (IEEE Trans. Learn. Technol., 2024)

The Impact of Artificial General Intelligence-Assisted Project-Based Learning on Students' Higher Order Thinking and Self-Efficacy. - Ruxin Zheng; Huifen Xu; Minjuan Wang; Jijian Lu (IEEE Trans. Learn. Technol., 2024)

Advancing High-Resolution and Efficient Automotive Radar Imaging through Domain-Informed 1D Deep Learning. - Ruxin Zheng; Shunqiao Sun; Hongshan Liu; Holger Caesar; Honglei Chen; Jian Li (ICASSP, 2025)

Advancing Single-Snapshot DOA Estimation with Siamese Neural Networks for Sparse Linear Arrays. - Ruxin Zheng; Shunqiao Sun; Hongshan Liu; Yimin D. Zhang (ICASSP, 2025)