Songming Liu (刘松铭)

I'm Songming Liu, a Ph.D. student in Machine Learning at Tsinghua University, advised by Prof. Jun Zhu and Prof. Hang Su since 2023.

My research focuses on multi-modal foundation models for robotics.

Previously, I worked on Machine Learning for Partial Differential Equations (PDEs), which was also the topic of my undergraduate thesis. I graduated from the Department of Computer Science and Technology of Tsinghua University in 2023 with a bachelor's degree (GPA: 3.99/4.00; Rank: 1/215) and was awarded one of the ten Top-Class Scholarships of Tsinghua (清华大学特等奖学金), which is the highest honor a student can receive.

Email / Google Scholar / Twitter / Github

Selected Research

	RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation Songming Liu* Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu ICLR*, 2025 Project Page / arXiv / Code / Model / Data /
	NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu ICML, 2023 arXiv / Github
	A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng NeurIPS, 2022 arXiv / Github
	Preconditioning for Physics-Informed Neural Networks Songming Liu, Chang Su, Jiachen Yao, Zhongkai Hao, Hang Su, Youjia Wu, Jun Zhu arXiv arXiv
	DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu ICML, 2024 arXiv / Github
	GNOT: A General Neural Operator Transformer for Operator Learning Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu ICML, 2023 arXiv / Github
	Physics-informed machine learning: A survey on problems, methods and applications Zhongkai Hao, Songming Liu, Yichi Zhang, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu arXiv arXiv

Selected Honors

Outstanding Graduate, Tsinghua University, 2023
Outstanding Thesis Award, Tsinghua University, 2023
Special Scholarship for Undergraduates (本科生特等奖学金), Tsinghua University, 2022
Finalist in the Mathematical Contest in Modeling (MCM), 2021
Gold Medal in the Chinese Chemistry Olympiad (CChO), 2017