ADS Data Management

Created by Nano Banana

Summary: This project focuses on developing efficient storage and query processing techniques for multimodal data by sensors and annotations in autonomous driving applications.

Related Publications

Jiangneng Li, Haitao Yuan, Gao Cong, Han Mao Kiah, Shuhao Zhang (2025). MAST: Towards Efficient Analytical Query Processing on Point Cloud Data. SIGMOD 2025. DB
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Jiangneng Li, Haitao Yuan, Jie Wang, Ziting Wang, Han Mao Kiah, Gao Cong (2025). Demonstrating MAST: An Efficient System for Point Cloud Data Analytics. SIGMOD 2025 (Demo). DB
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Jiangneng Li, Gao Cong, Xiaohui Bei (2026). DUSTER: A Deduplication Framework for Efficient Point Cloud Storage and Retrieval. VLDB Journal. DB
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Database Autonomous Driving
Jiangneng Li
Authors
Jiangneng Li
Research Fellow
Research fellow at NTU researching ML systems, data systems, and embodied AI.