School of Software · Advisor: Prof. Mingsheng Long
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
GPA: 3.9/4.0 · Rank: Top 6%
Publications
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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.
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Under Review
Feasible Policy Optimization for Safe Reinforcement Learning
Yujie Yang*, Yuanxu Sun*, Wenyu Li, Beiyan Jiang, Tao Zhang, Shengbo Eben Li#
Under review.
Public link pending -
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.
Selected Projects
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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
Topics: Scientific machine learning, neural operators, and neural PDE solvers.
Industry Experience
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.