TIANAO LI - 李天骜

I am a second-year Ph.D. student in Computer Science at Northwestern University, advised by Prof. Emma Alexander. Previously, I received my B.Eng. in Electronic Engineering with a minor in Astronomy at Tsinghua University magna cum laude. During my undergraduate study, I was fortunate to work with Prof. Lu Fang, Prof. Emma Alexander, and Prof. Cheng Ma. My research interest is in the field of computational imaging, which lies at the intersection of optics, signal processing, computer vision, computer graphics, and machine learning. Specifically, I enjoy solving inverse problems using domain-specific knowledge (e.g., optics and geometry) in computational photography, medical imaging, and scientific imaging.

Feel free to reach out if you have any questions about my research or our lab.

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News

  • 2024-07: Invited talk at ECE Seminar, Department of Electrical and Computer Engineering, Boston University.
  • 2024-01: Invited talk at Northwestern's Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA).
  • 2023-09: I started my Ph.D. at Northwestern!
  • 2023-07: Invited talk at Northwestern's Astro Imaging Workshop.
  • 2023-06: I graduated from Tsinghua University magna cum laude!
  • 2023-04: I will be joining the Department of Computer Science at Northwestern University as a Ph.D. student!
  • 2023-02: Galaxy Deconvolution paper accepted by MNRAS!
  • 2022-04: I joined the Bio Inspired Vision Lab as a research intern!
  • Publications
    Neural Fields for Adaptive Photoacoustic Computed Tomography
    Tianao Li, Manxiu Cui, Cheng Ma, Emma Alexander
    arXiv Preprint
    [Project Page] [arXiv] [Code]

    We introduce NF-APACT, an efficient self-supervised framework achieving state-of-the-art performance in joint reconstruction of initial pressure and speed-of-sound in photoacoustic computed tomography.

    dise Galaxy Image Deconvolution for Weak Gravitational Lensing
    with Unrolled Plug-and-Play ADMM

    Tianao Li, Emma Alexander
    Monthly Notices of the Royal Astronomical Society: Letters
    [Project Page] [Paper] [arXiv] [Code] [Dataset]

    We introduce a physics-informed deep learning approach to the Point Spread Function (PSF) deconvolution problem for the Vera C. Rubin Observatory.

    Awards

  • Outstanding Graduate, Tsinghua University (top 10%, 2023)
  • Scholarship of Comprehensive Excellence, Tsinghua University (top 10%, 2022)
  • Scholarship of Comprehensive Excellence, Tsinghua University (top 10%, 2021)
  • Scholarship of Social Work, Tsinghua University (2020)
  • Teaching and Mentoring

  • Guest Lecturer, CS 396: Natural and Artificial Vision, Northwestern University, Spring 2024
  • Undergraduate Mentees: Eugenia Cao, Michael Hartmann
  • Misc.

    Outside of research, I enjoy playing basketball and amateur astronomy. I spent four wonderful years at the Tsinghua Astronomy Society as a core member. I'm also a huge fan of the Golden State Warriors 🏆🏆🏆🏆 and the HARRY POTTER series.

    Here is a collection of my course projects.

    Click here to read my blogs.

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    Website template from Dr. Jon Barron.


    © Tianao Li | Last update: Sep. 16, 2024