😄 About Me

I am currently a second-year Ph.D. student at Southeast University, supervised by Associate Professor Yiqing Yao.

My research focuses on millimeter-wave radar-based environmental perception and localization for autonomous driving in complex environments, with an emphasis on deep learning and multi-sensor fusion.

🔥 News

2026-03-19: 🎉 Our paper RCOC-Distill is published in TMM. [Paper] [Code]
2025-12-15: Selected for the 2025 Special Program for Doctoral Students under the CSCS Young Science and Technology Talent Cultivation Project.
2025-10-27: Received a verbal offer from an overseas supervisor and will apply for the CSC Scholarship. Planned one-year joint Ph.D. training abroad (Sep. 2026 – Aug. 2027).

📝 Publications

🔹 Long Zhuang, Yiqing Yao*, and Tao Zhang.
RCOC-Distill: Boosting 4D Radar-Camera Online Calibration with Knowledge Distillation from LiDAR Features.[Paper] [Code]
IEEE Transactions on Multimedia, 2026.

🔹 Long Zhuang, Yiqing Yao*, and Nuo Li.
RC-ROSNet: Fusing 3D Radar Range-Angle Heat Maps and Camera Images for Radar Object Segmentation.[Paper] [Code]
IEEE Transactions on Circuits and Systems for Video Technology, 2026.

🔹 Long Zhuang, Tiezhen Jiang*, Hao Jiang, Anqi Wang, and Zhixiang Huang.
LQCANet: Learnable-Query-Guided Multi-Scale Fusion Network Based on Cross-Attention for Radar Semantic Segmentation.[Paper]
IEEE Transactions on Intelligent Vehicles, 2024.

🔹 Long Zhuang, Kai Luo, and Zhibo Yang*.
A Multimodal Gated Recurrent Unit Neural Network Model for Damage Assessment in CFRP Composites Based on Lamb Waves and Minimal Sensing.⭐ (ESI Highly Cited Paper) [Paper]
IEEE Transactions on Instrumentation and Measurement, 2024.

🔹 Long Zhuang, Yiqing Yao*, Nuo Li, Zijian Wang, Lingtong Zhong, Zijing Zhang, and Tao Zhang.
4DRC-OC: Online Calibration of 4D Millimeter Wave Radar-Camera With Depth Map Assistance.[Paper] [Code]
IEEE Robotics and Automation Letters, 2025.

🔹 Long Zhuang, Yiqing Yao*, Taihong Yang, Zijian Wang, and Tao Zhang.
Boosting FMCW Radar Heat Map Object Detection with Raw ADC Data.[Paper] [Code]
IEEE Robotics and Automation Letters, 2025.

🔹 Long Zhuang, Tiezhen Jiang*, Meng Qiu, Anqi Wang, and Zhixiang Huang.
Transformer Generates Conditional Convolution Kernels for End-to-End Lane Detection.[Paper] [Code]
IEEE Sensors Journal, 2024.

🔹 Long Zhuang, Tiezhen Jiang*, Jianhua Wang, Qi An, Kai Xiao, and Anqi Wang.
Effective mmWave Radar Object Detection Pretraining Based on Masked Image Modeling.[Paper]
IEEE Sensors Journal, 2024.

🔹 Tiezhen Jiang, Long Zhuang*, Qi An, Jianhua Wang, Kai Xiao, and Anqi Wang.
T-RODNet: Transformer for Vehicular Millimeter-Wave Radar Object Detection.[Paper] [Code]
IEEE Transactions on Instrumentation and Measurement, 2023.

🔹 Tiezhen Jiang, Qingzhu Li, Zhixiang Huang, and Long Zhuang*, et al.
CT-RURnet: a novel network design for radar unmanned aerial vehicles recognition.[Paper]
Measurement Science and Technology, 2024.

🔹 Tiezhen Jiang, Long Zhuang*, Jianhua Wang, Qi An.
Design of dual-band filtering patch antenna slot coupling feed.[Paper]
International Journal of Microwave and Wireless Technologies, 2024.

📖 Educations

2024.09 - present, Ph.D. candidate at Southeast University, Nanjing, China. Doctoral Advisor: Yiqing Yao
2021.09 - 2024.06, M.S. at Anhui University, Hefei, China. Master’s Advisor: Tiezhen Jiang

🤝 Collaborators

Lianqing Zheng, Ph.D. candidate in the School of Automotive Studies, Tongji University, Shanghai.
Kai Luo, Ph.D. candidate in the School of Automation and Intelligent Manufacturing (AIM), Southern University of Science and Technology, Shenzhen, P. R. China.
Yuan Fang, Ph.D. candidate in the Urban wireless sensing lab, Department of Security and Crime Science, University College London, United Kingdom.
Wenkai Zhu, Zihang Wang, Ph.D. candidate in Southeast University.