Shouyi Lu

Shouyi Lu

Great things come from hard work and perseverance. No excuses.

🔥 Short Bio

I am currently pursuing a Ph.D. at the School of Automotive Studies, Tongji University, under the supervision of Associate Professor Guirong Zhuo. Prior to this, I obtained my Master’s degree from Jilin University of Automotive Engineering and received my Bachelor’s degree from the School of Transportation and Vehicle Engineering at Shandong University of Technology.

My research interests include AIGC, scene editing, 3D Gaussian Splatting, point cloud super-resolution, pose estimation, place recognition, and multimodal fusion. My current work primarily focuses on the following directions: autonomous driving scene reconstruction based on 4D radar, online adaptive 4D radar-IMU-vision fusion odometry, and point cloud super-resolution algorithms incorporating knowledge diffusion and distillation strategies.

📖 Educations

  • 2022.09 - 2026.06 (now), Ph.D. candidate in the School of Automotive Studies, Tongji University, Shanghai.
  • 2019.09 - 2022.06, Received M.Eng. in the College of Automotive Engineering, Jilin University, Changchun.
  • 2015.09 - 2019.06, Received B.Eng. in the School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo.

💻 Internships

  • 2025.01 - 2025.08, Data Generation Algorithm Intern, Megvii Technology, Shanghai.
  • 2020.03 - 2020.06, QT Algorithm Intern, SAIC Motor Corporation Limited, Shanghai.

📝 Publications

  • **Shouyi Lu**, Zihan Lin et al. “MultiEditor: Controllable Multimodal Object Editing for Driving Scenarios Using 3D Gaussian Splatting Priors,” (submitted to AAAI 2026) Paper Project

  • **Shouyi Lu**, Huanyu Zhou et al. “DNOI-4DRO: Deep 4D Radar Odometry with Differentiable Neural-Optimization Iterations,” (submitted to AAAI 2026) Paper Project

  • **Shouyi Lu**, Guirong Zhuo et al. “A Generative Hierarchical Optimization Framework for LiDAR Odometry Using Conditional Diffusion Models,” (IEEE Sensors Journal) Paper

  • **Shouyi Lu**, Guirong Zhuo et al. “TDFANet: Encoding Sequential 4D Radar Point Clouds Using Trajectory-Guided Deformable Feature Aggregation for Place Recognition,” (ICRA 2025) Paper Video

  • Boyuan Zheng, **Shouyi Lu**(Project Lead) et al. “R2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model,” (IROS 2025) Paper Video

  • **Shouyi Lu**, Guirong Zhuo et al. “Efficient deep-learning 4D automotive radar odometry method,” (IEEE T-IV) ESI Highly Cited Paper Paper

  • Guirong Zhuo, **Shouyi Lu** et al. “4DRVO-Net: Deep 4D radar–visual odometry using multi-modal and multi-scale adaptive fusion,” (IEEE T-IV) Paper

  • **Shouyi Lu**, Guirong Zhuo et al. “Deep 4D Automotive Radar-Camera Fusion Odometry with Cross-Modal Transformer Fusion,” (SAE International Journal of Advances and Current Practices in Mobility) Best Paper Award Paper

  • **Shouyi Lu**, Yongshuai Zhi et al. “Semi-Direct Monocular SLAM With Three Levels of Parallel Optimizations,” (IEEE Access) Paper

  • Sumin Zhang, **Shouyi Lu** et al. “Stereo visual odometry pose correction through unsupervised deep learning,” (Sensors) Paper

  • **Shouyi Lu**, Zhipeng Bao et al. “Target detection algorithm based on mmw radar and camera fusion,” (ICCDS 2021) Paper

  • Huanyu Zhou, **Shouyi Lu** et al. “Self-supervised 4-d radar odometry for autonomous vehicles,” (ITSC 2023) Paper

  • Minqing Huang, **Shouyi Lu** et al. “Low-Cost Fusion Odometry Algorithm Based on 4D Radar and Pseudo-LiDAR: Bridging the Gap between 4D Radar and Images in 3D Space,” (SAE Technical Paper) Paper

  • Zhipeng Bao, **Shouyi Lu** et al. “Automatic Parking Trajectory Planning Based on Multi-objective Optimal Trajectory Decision Algorithm,” (ICCDS 2021) Paper

  • Jiaqi Zhu, Wufei Fu, **Shouyi Lu** et al. “4DRE-VIO: 4D Radar-Enhanced Monocular Visual Inertial Odometry for Urban Environments,” (T-ITS) Paper

  • Sumin Zhang, Yongshuai Zhi, **Shouyi Lu** et al. “Monocular vision SLAM research for parking environment with low light,” (International Journal of Automotive Technology) Paper

  • Ziyao Li, Jiaqi Zhu, **Shouyi Lu** et al. “Factor Graph-Based Spatial-Temporal-Enhanced Attention Network-Assisted TDCP Positioning,” (ION GNSS+ 2024) Paper

  • Renbo Huang, Guirong Zhuo, Lu Xiong, **Shouyi Lu** et al. “A Review of Deep Learning-Based Vehicle Motion Prediction for Autonomous Driving,” (Sustainability) Paper

  • Zihang He, Lu Xiong, Guirong Zhuo, Letian Gao, **Shouyi Lu** et al. “Low-Cost Fusion Odometry Algorithm Based on 4D Radar and Pseudo-LiDAR: Bridging the Gap between 4D Radar and Images in 3D Space,” (SAE Technical Paper) Paper

  • Lianqing Zheng, Jianan Liu, Runwei Guan, Long Yang, **Shouyi Lu** et al. “Doracamom: Joint 3d detection and occupancy prediction with multi-view 4d radars and cameras for omnidirectional perception,” (submitted to IEEE T-CSVT) Paper

  • Lianqing Zheng, Long Yang, Qunshu Lin, Wenjin Ai, Minghao Liu, **Shouyi Lu** et al. “OmniHD-Scenes: A Next-Generation Multimodal Dataset for Autonomous Driving,” (submitted to IEEE T-PAMI) Paper

  • 基于视觉和底盘信息的车辆自主定位系统及定位方法 (除导师外第一发明人，授权)

  • 下坡路上交通信号灯识别方法、系统及计算机可读介质 (除导师外第一发明人，授权)

  • 一种基于车辆-无人机协同的高速公路车辆行为和轨迹预测方法 (第四发明人，授权)

  • 一种基于深度学习的4D毫米波雷达里程计方法 (除导师外第一发明人，公开)

  • 基于多模态和多尺度自适应融合的4D雷达视觉里程计方法 (除导师外第一发明人，公开)

  • 一种基于序列4D雷达点云生成全局描述子的地点识别方法 (除导师外第一发明人，公开)

  • 一种用于自动驾驶车辆的4D毫米波雷达自监督里程计方法 (第三发明人，公开)

  • 一种耦合深度学习与物理优化的4D毫米波雷达自监督里程计方法 (第三发明人，公开)

  • 一种基于多源传感器融合架构的车载单目视觉惯性定位方法 (第三发明人，公开)

🎖 Honors and Awards

  • 2023-2024 China National Scholarship (top 1%, ￥30,000)
  • 2023-2024 Outstanding Individual Award, Intelligent Vehicle Research Institute, Tongji University (top 1%, ￥5,000)
  • 2022-2023 Outstanding Individual Award, Intelligent Vehicle Research Institute, Tongji University (top 1%, ￥5,000)
  • 2022-2023 Academic Achievement Scholarship, Jilin University (top 5%, ￥8,000)
  • 2021-2022 Suzhou Industrial Park Scholarship (top 1%, ￥2,000)
  • 2021-2022 Academic Achievement Scholarship, Jilin University (top 5%, ￥8,000)
  • 2021-2022 Master’s Academic Scholarship, Jilin University (top 5%, ￥8,000)
  • 2020-2021 Master’s Academic Scholarship, Jilin University (top 5%, ￥8,000)
  • 2018-2019 First-Class Academic Scholarship (top 5%, ￥800)
  • 2017-2018 First-Class Academic Scholarship (top 5%, ￥800)
  • 2016-2017 First-Class Academic Scholarship (top 5%, ￥800)
  • 2015-2016 First-Class Academic Scholarship (top 5%, ￥800)
  • Outstanding Graduate of Jilin University
  • Outstanding Student of Shandong Province
  • Outstanding Graduate of Shandong Province
  • First Prize (National Level), National Undergraduate Mathematics Competition
  • First-Class Award (Shandong Division), China Undergraduate Mathematical Contest in Modeling

💬 Services

Reviewer of IEEE ICRA, IEEE IROS, AAAI

Reviewer of IEEE T-IV, IET ITS