Chenghao Mo

I am a Master of Science in Computer Science (MSCS) student at the University of Illinois at Urbana-Champaign, working with Prof. Minjia Zhang at the SSAIL Lab. My research focuses on large-scale vector databases on GPUs, efficient data management systems, and high-performance computing for AI applications.

News

Feb 23, 2026 Our work on approximate join queries has been accepted at SIGMOD 2026 !

Nov 24, 2025 Our work on VecFlow-Chamfer has been accepted at SIGMOD 2026 !

May 23, 2025 Our work on VecFlow has been accepted at SIGMOD 2026 !

Selected Papers

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)

SIGMOD '26

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)

The first GPU-accelerated filter-based vector search system, delivering up to 100X higher throughput than state-of-the-arts CPU-based solutions!

Paper Project Code