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

Generative Modeling: Flow Matching, Diffusion, Discrete Diffusion
Operator Learning: Modeling Continuous Spatiotemporal Dynamics, Integral Equations
Computational Biology: Single-cell Transcriptomics Data Analysis

Publications

CaLMFlow: Volterra Flow Matching using Causal Language Models

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

Intelligence at the Edge of Chaos

Shiyang Zhang, Aakash Patel, Syed Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, and David van Dijk

arXiv: 2410.02536, 2024

PDF BibTex Preprint, presented as a poster at 15th Annual ML Symposium, NYAS, NYC 2024

Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods

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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