News

Nov 20, 2024 Check out our new work “Find Any Part in 3D”: a model that can localize any part of any object based on any text query!
Sep 22, 2024 Our paper “Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction” is accepted by TMLR.
Sep 14, 2023 Moved to Pasadena to start my PhD at Caltech as a Kortschak Scholar!
Jan 05, 2023 Microsoft filed a patent based on my work on optimizing memory footprint of the Azure pricing system!
Jun 02, 2021 The fair ML sampling project I initiated got featured by PureAI: Researchers Explore Intelligent Sampling of Huge ML Datasets to Reduce Costs and Maintain Model Fairness.