Quanhan (Johnny) Xi

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I am a Ph. D. Student in the Department of Statistics at the University of British Columbia, supervised by Ben Bloem-Reddy. Recently, I have been interested in causal discovery, generative modelling, and their application in high-throughput biology. I have also been an intern with Jason Hartford at Valence Labs, where I worked on causal representation learning and multimodality.

news

Nov 1, 2024 My internship project on matching data from unpaired modalities using propensity scores will appear at NeurIPS 2024! In biology, you can in theory have multimodal measurements of the same cell in biology, but each measurement process is destructive, putting us naturally in a “potential outcomes” setting. Paper here: arXiv!
Dec 4, 2023 I will be presenting a poster at the CRL workshop on triangular monotonic maps for causal discovery. See the paper.
Nov 22, 2023 I gave a talk on the statistical modelling aspects of identifiability in generative models at the CARE reading group, organized by Valence Labs. There is a recording available on YouTube!

selected publications

  1. NeurIPS 2024
    Propensity Score Alignment of Unpaired Multimodal Data
    Johnny Xi, Jana Osea, Zuheng Xu, and 1 more author
    In NeurIPS 2024, 2024
  2. AISTATS
    Indeterminacy in Generative Models: Characterization and Strong Identifiability
    Quanhan Xi, and Benjamin Bloem-Reddy
    In AISTATS, 2023