Publications

SIGMOD '26

VecFlow-Chamfer: A GPU-based Data Management System for High-Performance Multi-Vector Search on Superchips

Chenghao Mo¹, Ben Karsin², Philip Adams³, Minjia Zhang¹
¹University of Illinois Urbana-Champaign, ²Nvidia, ³Microsoft

Proceedings of the ACM on Management of Data (SIGMOD 2026)

VecFlow: A High-Performance Vector Data Management System for Filtered-Search on GPUs

Jingyi Xi*†¹, Chenghao Mo*¹, Ben Karsin², Artem Chirkin², Mingqin Li³, Minjia Zhang¹
¹University of Illinois Urbana-Champaign, ²Nvidia, ³Microsoft
*Both authors contributed equally to this research. †Work done while intern at UIUC.

Proceedings of the ACM on Management of Data (SIGMOD 2026)

Paper Project Code

Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees

Yuxuan Zhu¹, Tengjun Jin¹, Chenghao Mo¹, Daniel Kang¹
¹University of Illinois Urbana-Champaign

Proceedings of the ACM on Management of Data (SIGMOD 2026)

DEEM '24

AIDB: a Sparsely Materialized Database for Queries using Machine Learning

Tengjun Jin, Akash Mittal, Chenghao Mo, Jiahao Fang, Chengsong Zhang, Timothy Dai, Daniel Kang

Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM 2024)

Paper