Jiangneng Li

Biography

I am currently a final year PhD student at Nanyang Technological University, Singapore, co-supervised by Prof. Gao Cong and Prof. Xiaohui Bei. I also work with Prof. Han Mao Kiah and Prof. Cheng Long. Prior to joining NTU, I obtained my B.E. degree in Computer Science from Beihang University, advised by Prof. Yongxin Tong.

My research interests are mainly in database management systems, Data+AI, and multimedia data analytics. My current research topics are as follows:

Autonomous driving data management and analytics, e.g., efficient query processing on point cloud data (SIGMOD’25 and Demo), efficient point cloud storage management.
Applied machine learning for database modules optimization, e.g., cardinality estimation (VLDB’22), learned indexes–learning (VLDB’23) and distribution shift handling (Preprint).

I’m in the job market. Feel free to contact me if you would like to discuss via email: jiangnen002 [AT] e.ntu.edu.sg

Quickly discover relevant content by filtering publications.

Jiangneng Li, Yuang Liu, Zheng Wang, Gao Cong, Cheng Long, Walid G. Aref, Han Mao Kiah, Bin Cui (2025). BMTree: Designing, Learning, and Updating Piecewise Space-Filling Curves for Multi-Dimensional Data Indexing. preprint.

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).

Jiangneng Li, Haitao Yuan, Gao Cong, Han Mao Kiah, Shuhao Zhang (2025). MAST: Towards Efficient Analytical Query Processing on Point Cloud Data. SIGMOD 2025.

Jiangneng Li, Zheng Wang, Gao Cong, Cheng Long, Han Mao Kiah, Bin Cui (2023). Towards Designing and Learning Piecewise Space-Filling Curves. VLDB 2023.

[MH1301] Discrete Mathematics, Tutorials, 22Spring, 22Fall, 23Spring, 24Fall.
[MH1802] Introduction to Probability and Statistical Methods, Tutorials, 22Spring.

TKDE, etc.