I am Ruikai Li (Ricky), a 2nd-year Ph.D. student at the School of Transportation Science and Engineering, Beihang University (BUAA), advised by Prof. Zhiyong Cui. Prior to my Ph.D., I received my B.Eng. degree from Beijing University of Technology (BJUT).

My research interests focus on computer vision and efficient perception, including online HD map construction, cross-modal knowledge distillation, 3D semantic occupancy prediction, and driving scene generation. I have published papers at top venues such as ECCV, ICLR, CVPR, and IEEE TPAMI.

I had the privilege of interning at Amap (Mentor: Mu Xu) and Li Auto (Mentor: Kun Zhan), working on perception algorithms.

Feel free to reach out for research collaboration: rickyli@buaa.edu.cn

     Education
    Ph.D. Student, Beihang University (2024.09 – Present)
M.Eng., Beihang University (2022.09 – 2024.08)
B.Eng., Beijing University of Technology (2018.09 – 2022.06)

  

     Research Interests
    Online HD Map Construction
Cross-Modal Knowledge Distillation
3D Semantic Occupancy Prediction & Scene Generation

  

Selected Publications

For a full list, please visit Google Scholar

ECCV 2024

MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation

Xiaoshuai Hao*, Ruikai Li*, Hui Zhang, et al.

ECCV 2024 · CCF-B · Co-first Author

ArXiv Code

ICLR 2026

Stability Under Scrutiny: Benchmarking Representation Paradigms for Online HD Mapping

Hao Shan*, Ruikai Li*, Han Jiang, et al.

ICLR 2026 · CCF-A · Co-first Author

ArXiv Code Project

CVPR 2026

AMap: Distilling Future Priors for Ahead-Aware Online HD Map Construction

Work done during internship at Amap

Ruikai Li*, Xinrun Li*, Mengwei Xie, et al.

CVPR 2026 · CCF-A · Co-first Author

ArXiv Code Project

Under Review

Scaling Up Occupancy-centric Driving Scene Generation: Dataset and Method

Work done during internship at Li Auto

Bohan Li, Xin Jin, Hu Zhu, ..., Ruikai Li, et al.

Under Review · Contributing Author

ArXiv Code Project Dataset

Education

2024.09 – Present: Beihang University (BUAA), Ph.D. Student, School of Transportation Science and Engineering.
2022.09 – 2024.08: Beihang University (BUAA), M.Eng., School of Transportation Science and Engineering.
2018.09 – 2022.06: Beijing University of Technology (BJUT), B.Eng., School of Software Engineering.

Industry Experience

2025.06 – 2025.12: Amap, Research Intern — Efficient online vectorized map construction.
2024.12 – 2025.06: Li Auto, Research Intern — Occupancy-centric driving scene generation.

Academic Service

Reviewer:

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
European Conference on Computer Vision (ECCV)
International Conference on Learning Representations (ICLR)
AAAI Conference on Artificial Intelligence (AAAI)
Expert Systems With Applications (ESWA)
IEEE Transactions on Vehicular Technology (TVT)