I am a researcher at Nanyang Technological University working on vector databases, approximate nearest-neighbor search, and high-dimensional vector quantization.
A lightweight and efficient implementation of RaBitQ and its applications in vector search.
The library provides:
- efficient RaBitQ encoding and distance estimation;
- IVF and graph-based vector search integrations;
- optimized SIMD implementations;
- C++ and Python interfaces;
- implementations associated with our recent research.
-
SymphonyQG: Towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search.
Yutong Gou†, Jianyang Gao†, Yuexuan Xu, and Cheng Long.
Proceedings of the ACM on Management of Data (SIGMOD 2025).
[Paper] -
Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search.
Jianyang Gao, Yutong Gou, Yuexuan Xu, Yongyi Yang, Cheng Long, and Raymond Chi-Wing Wong.
Proceedings of the ACM on Management of Data (SIGMOD 2025).
[Paper]
- Institution: Nanyang Technological University, Singapore
- Google Scholar: Google Scholar
- ORCID: ORCID
No one is an island, entire of itself. And therefore, never send to know for whom the bell tolls. It tolls for thee.