Ruize Richard Xu

I am a Computer Science Ph.D. student at the University of Chicago, advised by Zhiyuan Li, with research at TTIC.

I am interested in coding agents, reinforcement learning, formal theorem proving, and agentic robotics, including Code as Policies. My work explores how agents can write code, reason with formal guarantees, and act in the physical world.

I am looking for a research internship in 2027. Get in touch ↗

Before my Ph.D., I completed my B.S. in Computer Science, Mathematics, and Economics at the University of Chicago.

Ruize Richard Xu

news

Real-to-Sim-to-Real at the Last Millimeter is accepted to CoRL 2026 Late-Breaking Results.

Towards Training Transformers as a Universal Computer is accepted to Findings of EMNLP 2026.

Teaching an Agent to Sketch One Part at a Time at ECCV 2026.

Schur Nets at NeurIPS 2024.

publications

* Equal contribution
ECCVLooping animation of vector sketches drawn one semantic part at a time

Teaching an Agent to Sketch One Part at a Time

Xiaodan Du*, Ruize Xu*, David Yunis*, Yael Vinker, Greg Shakhnarovich
ECCV 2026

A multi-turn visual agent that draws editable vector sketches one semantic part at a time.

EMNLPAnimated SAT solver execution showing clause evaluation and backtracking through the search tree

Towards Training Transformers as a Universal Computer

Ruize Xu, Chenxiao Yang, Yanhong Li, David McAllester
Findings of EMNLP 2026

Learning to execute unseen programs with a small transformer and PENCIL scaffolding.

Preprint title: Training Transformers as a Universal Computer.

NeurIPSSchur Nets architecture: local graph representations and SchurLayers, Figure 2 from the paper

Schur Nets: Exploiting Local Structure for Equivariance in Higher Order Graph Neural Networks

Qingqi Zhang*, Ruize Xu*, Risi Kondor
NeurIPS 2024

Constructing equivariant operations from the graph Laplacian for higher-order graph neural networks.

in submission

background

University of Chicago · Computer Science
Advisor: Zhiyuan Li · Expected June 2028

University of Chicago
B.S. in Computer Science, Mathematics, and Economics

Google · Software Engineer
Gmail Ads auction optimization and production experimentation, applying Google DeepMind’s FunSearch.

Google · Software Engineer
Query execution and vectorized joins in the F1 query kernel.

For research collaborations and opportunities: richardxu@ttic.edu · UChicago email