About Me

I build learning systems that move between geometry, scientific discovery, and real-world decisions.

I am an incoming master's student at the School of Software, Tsinghua University, advised by Prof. Mingsheng Long. I received my B.E. from the same school, with a GPA of 3.9/4.0 and a class rank in the top 6%.

My research explores machine learning systems that connect representation learning, scientific computing, and intelligent agents. I care about both the ideas behind learning algorithms and the engineering needed to make them reliable and useful.

I welcome research discussions and collaborations. Feel free to reach out by email.

Research Interests

My current interests include:

  • Scientific Machine Learning: neural PDE solvers, geometric representations, and efficient learning systems.
  • Video Generation: generative video models, visual dynamics, and world modeling.
  • Physical AI: learning systems that perceive, reason about, and interact with the physical world.

News

  • [Jun. 2026] Brep2Shape is accepted by ICML 2026.
  • [Dec. 2025] FlashBias is accepted by NeurIPS 2025.
  • [Sep. 2025] Completed my internship at JingDong, working on the open-source agent framework OxyGent.
  • [Feb. 2025] Joined THUML's Neural Solver Library project as a major contributor.

Education

M.S. in Software Engineering, Tsinghua University

School of Software · Advisor: Prof. Mingsheng Long

B.E. in Software Engineering, Tsinghua University

GPA: 3.9/4.0 · Rank: Top 6%

Publications

  1. ICML 2026

    Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers

    Yuanxu Sun*, Yuezhou Ma*, Haixu Wu#, Guanyang Zeng, Muye Chen, Jianmin Wang, Mingsheng Long#

    International Conference on Machine Learning, 2026.

  2. Under Review

    Feasible Policy Optimization for Safe Reinforcement Learning

    Yujie Yang*, Yuanxu Sun*, Wenyu Li, Beiyan Jiang, Tao Zhang, Shengbo Eben Li#

    Under review.

  3. NeurIPS 2025

    FlashBias: Fast Computation of Attention with Bias

    Haixu Wu, Minghao Guo, Yuezhou Ma, Yuanxu Sun, Jianmin Wang, Wojciech Matusik, Mingsheng Long#

    Advances in Neural Information Processing Systems, 2025.

* Equal contribution   # Corresponding author

Selected Projects

  • Neural Solver Library ★ 322

    An open-source library for neural PDE solvers. I contributed to the infrastructure, model reproduction, systematic experiments, and performance analysis. I optimized 22 underperforming experiments and resolved 19 errors.

    Code
  • OxyGent ★ 2k

    An open-source multi-agent system framework for complex industrial workflows. As a core developer, I worked on agent design, flow architecture, project management, and the Negotiation Specialist pipeline.

    Code Paper Docs

Experience

Research Experience

THUML, Tsinghua University Contributor · 2025.02–Present

Topics: Scientific machine learning, neural operators, and neural PDE solvers.

Industry Experience

JingDong, Beijing R&D Intern · 2025.06–2025.09

Core developer of OxyGent and the Negotiation Specialist business pipeline.

Honors & Awards

  • [2025] Comprehensive Excellence Scholarship
  • [2025] 3rd Prize (North China Region), National Software Creativity Competition
  • [2024] Comprehensive Excellence Scholarship
  • [2024] 1st Prize, Tsinghua University Software Innovation Competition
  • [2024] Outstanding SAST Member, School of Software
  • [2023] Academic Excellence Scholarship

Skills & Service

  • Programming: Python, C++, MATLAB
  • Frameworks & Tools: PyTorch, Git, LaTeX
  • Languages: Chinese, English
  • Community: Class President; Vice President, SAST Competition Department; Tsinghua Red Cross Society.