Beng Chin Ooi

The Beckman report on database research

2016 · Communications of the ACM

Database researchers paint big data as a defining challenge. To make the most of the enormous opportunities at hand will require focusing on five research areas.

GCON: Differentially Private Graph Convolutional Network via Objective Perturbation

2024 · arXiv (Cornell University)

Graph Convolutional Networks (GCNs) are a popular machine learning model with a wide range of applications in graph analytics, including healthcare, transportation, and finance. However, a GCN trained without privacy protection measures may memorize private …

FAVOR: Efficient Filter-Agnostic Vector ANNS Based on Selectivity-Aware Exclusion Distances

2026 · Proceedings of the ACM on Management of Data

Modern retrieval systems increasingly require integrating approximate nearest neighbor search (ANNS) with complex attribute filtering to handle hybrid queries in applications such as recommendation systems and retrieval-augmented generation (RAG). While HNSW-based inline-filtering methods show promise, …