Quanhan (Johnny) Xi

profile.jpg

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

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!
Apr 25, 2023 Our paper “Indeterminacy in Generative Models: Characterization and Strong Identifiability” was at AISTATS 2023 as an oral presentation (top ~1.9% of reviewed submissions)!

selected publications

  1. NeurIPS CRL
    Triangular Monotonic Generative Models Can Perform Causal Discovery
    Quanhan Xi, Sebastian Gonzalez, and Benjamin Bloem-Reddy
    In NeurIPS Workshop on Causal Representation Learning Workshop, 2023
    PDF Poster
  2. AISTATS
    Indeterminacy in Generative Models: Characterization and Strong Identifiability
    Quanhan Xi, and Benjamin Bloem-Reddy
    In AISTATS, 2023
    arXiv Poster Website