Reqo: A Comprehensive Learning-Based Cost Model for Robust and Explainable Query Optimization
PACMMOD / SIGMOD ·
Baoming Chang
I am a PhD student in Computer Science at the University of Waterloo, working with Prof. Sujaya Maiyya in the Data Systems Group (DSG). My current interests are vector databases, indexing, and query optimization.
Before Waterloo, I completed my Master of Computer Science at the University of Ottawa, where I worked with Prof. Verena Kantere.
Research
Vector data systems
I am studying approximate nearest neighbor search and adaptive vector indexing, including how indexes respond to workloads and runtime conditions.
Query optimization
My previous work investigates query plan representations and learned cost models for robust, explainable query optimization.
Selected publications
A Novel Technique for Query Plan Representation Based on Graph Neural Nets
DaWaK ·