Jiangneng Li

Jiangneng Li

Research Fellow

Nanyang Technological University

Professional Summary

I’m currently a research fellow in Nanyang Technological University (NTU), Singapore. I obtained my PhD degree from NTU, where I was co-supervised by Prof. Gao Cong and Prof. Xiaohui Bei. I also work with Prof. Han Mao Kiah and Prof. Cheng Long.

My research interests are mainly in ML systems, data systems, and embodied AI. 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 (VLDBJ'26).
  • Applied machine learning for database modules optimization, e.g., cardinality estimation (VLDB'22), learned indexes–learning (VLDB'23) and distribution shift handling (TKDE'26).

Feel free to contact me if you would like to discuss via email:

jiangnen002 [AT] e.ntu.edu.sg

Interests

ML Systems Data Systems Embodied AI
News
Recent Publications
Jiangneng Li, Gao Cong, Xiaohui Bei (2026). DUSTER: A Deduplication Framework for Efficient Point Cloud Storage and Retrieval. VLDB Journal. DB
Code
Ziqi Yin, Jianyang Gao, Peiqi Yin, Jiangneng Li, Gao Cong (2026). LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention. arXiv preprint. MLSYS
PDF Preprint Code
Jiangneng Li, Yuang Liu, Zheng Wang, Gao Cong, Cheng Long, Walid G. Aref, Han Mao Kiah, Bin Cui (2026). BMTree: Designing, Learning, and Updating Piecewise Space-Filling Curves for Multi-Dimensional Data Indexing. TKDE. DB
PDF Technical Report
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
PDF
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
PDF Code
Jiangneng Li, Zheng Wang, Gao Cong, Cheng Long, Han Mao Kiah, Bin Cui (2023). Towards Designing and Learning Piecewise Space-Filling Curves. VLDB 2023. DB
PDF Code Slides Video
See all
Teaching
  • [MH1301] Discrete Mathematics, Tutorials, 22Spring, 22Fall, 23Spring, 24Fall.
  • [MH1802] Introduction to Probability and Statistical Methods, Tutorials, 22Spring.
Mentoring
  • Jie Wang, MSAI@NTU, 2024 (first placement: PhD@NTU)
  • Yuang Liu, MSAI@NTU, 2023 (first placement: Huawei Singapore Research Center)
Professional Service

Conference Program Committee:

  • [2027] KDD, etc.
  • [2026] VLDB (demo), KDD, ICLR, SIGSPATIAL, ACMMM, AAAI, IJCAI, PAKDD, AISTATS
  • [2025] Neurips, ICLR, ICML, KDD, ACMMM, IJCAI, AISTATS, ECAI
  • [2024] Neurips

Journal Reviewer:

TKDE, etc.

Visitors