Ziqi Ma

Computer Vision @ California Institute of Technology.

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Hello! I am Ziqi, a PhD student at Caltech. I work on 3D computer vision, with the ultimate goal of enabling embodied AI applications. I am advised by Georgia Gkioxari and Yisong Yue. Prior to grad school, I worked as a software engineer at Microsoft AI Platform. I obtained my B.S. in Computer Science and B.A. in Statistics at UChicago. I am supported by the Kortschak Scholarship.

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.

Selected Publications

  1. find3d.png
    Find Any Part in 3D
    Ziqi Ma, Yisong Yue, and Georgia Gkioxari
    2024
  2. uq_teaser.png
    Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction
    Ziqi Ma, David Pitt, Kamyar Azizzadenesheli, and Anima Anandkumar
    Transactions on Machine Learning Research, 2024