Naifan Li — AI Research Engineer in autonomous driving. Based in Shanghai.
Experience
Nullmax · Shanghai, China
Research Focus
- Autonomous Driving — Object Detection, End-to-End, Data Closed-loop, Data Mining, Auto Labeling
- LLMs / VLMs / VLAs — Instruction tuning, multimodal learning, embodied AI
- Deep Learning — Paper notes, implementations, toolkits
Publications
- Naifan Li, Fan Song, Ying Zhang, Pengpeng Liang, Erkang Cheng. Traffic Context Aware Data Augmentation for Rare Object Detection in Autonomous Driving. ICRA 2022.
- Open-source dataset: ROD (Rare Object Dataset).
- Naifan Li, et al. SparseDiff: Temporal-Aligned Unified Sparse Diffusion for End-to-End Autonomous Driving. ECCV 2026 (under review).
Links
- GitHub: github.com/omagiclee
- Email: omagiclee@gmail.com
- RSS: Subscribe
- Blog: Paper notes, technical insights, research notes. Seek Deep, Go Far.
Last updated: February 2026