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Sizhuang He

First Year Ph.D. Student
Yale University
sizhuang.he (at) yale.edu


About Me

I’m a first-year Computer Science Ph.D. student at Yale University, advised by Dr. David van Dijk.

Previously, I completed my Bachelor’s degree at University of Michigan, Ann Arbor, majoring in Honors Mathematics and minoring in Computer Science.

Research Interests

News

Publications and Preprints

(*: Equal Contribution; In Chronological Order; Last Updated: Feb 2025)

  1. ArXiv
    Non-Markovian Discrete Diffusion with Causal Language Models
    Jan 2025
    Yangtian Zhang *, Sizhuang He*, Daniel Levine, Lawrence Zhao, Syed Rizvi, Emanuele Zappala, Rex Ying, and David van Dijk
    arXiv: 2502.09767, 2025
    PDF BibTex Preprint

  2. ArXiv
    COAST: Intelligent Time-Adaptive Neural Operators
    Jan 2025
    Zhikai Wu, Shiyang Zhang, Sizhuang He, Sifan Wang, Min Zhu, Anran Jiao, Lu Lu, and David van Dijk
    arXiv: 2502.08574, 2025
    PDF BibTex Preprint

  3. ArXiv
    CaLMFlow: Flow Matching using Causal Language Models
    Oct 2024
    Sizhuang He*, Daniel Levine*, Ivan Vrkic, Marco Bressana, David Zhang, Syed Rizvi, Yangtian Zhang, Emanuele Zappala, and David van Dijk
    arXiv: 2410.05292, 2024
    PDF BibTex Poster Preprint, presented as a poster at 15th Annual ML Symposium, NYAS, NYC 2024

  4. ICLR
    Intelligence at the Edge of Chaos
    Oct 2024
    Shiyang Zhang, Aakash Patel, Syed Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, and David van Dijk
    ICLR 2025 (Poster)
    PDF BibTex Accepted to ICLR 2025 as a poster

  5. ArXiv
    Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods
    Oct 2023
    Emanuele Zappala, Daniel Levine, Sizhuang He, Syed Rizvi, Sacha Lévy, and David van Dijk
    arXiv: 2310.01618, 2023
    PDF BibTex Preprint


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