Postdoctoral Fellow · UT Austin
Zeyuan Ye
My research develops generative modeling and statistical methods for high-dimensional data, with a focus on flow matching, representational geometry, deep neural networks, and computational neuroscience.
About
I am a Postdoctoral Fellow in the Department of Neuroscience at The University of Texas at Austin, working with Prof. Xue-Xin Wei (2026–present). I received my Ph.D. in Physics from Washington University in St. Louis, where I studied computational neuroscience under the supervision of Prof. Ralf Wessel (2021–2026).
Prior to joining WashU, I worked with Prof. Changsong Zhou at Hong Kong Baptist University (2020–2021). Before that, I received my undergraduate training in physics at Sichuan University (2016–2020).
I also build small tools and explore research ideas for fun—see my projects.
Recent updates
All updates| Sep 25, 2026 | Our new preprint, “A Flow Matching Framework for Neural Representational Dissimilarity”, is now available on arXiv. |
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| Sep 10, 2026 | Released Clipboard Upload v0.3.0, a Windows tool that uploads clipboard screenshots and files to an SSH server with Ctrl+Alt+U and copies their remote paths back to the clipboard. Download the release. |
| Apr 01, 2026 | Started as a Postdoctoral Fellow in the Department of Neuroscience at The University of Texas at Austin, working with Prof. Xue-Xin Wei. |
| Feb 28, 2026 | Successfully defended my Ph.D. in Physics at Washington University in St. Louis, advised by Prof. Ralf Wessel. |
| Aug 19, 2025 | Our paper, “Speed modulations in grid cell information geometry”, was published in Nature Communications. |
Selected publications
All publications-
A Flow Matching Framework for Neural Representational Dissimilarity
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The representational geometry of out-of-distribution generalization in primary visual cortex and artificial neural networks
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Brain-like border ownership signals support prediction of natural videos
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Speed modulations in grid cell information geometry
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The effects of the post-delay epochs on working memory error reduction