Songming Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
2
Active years
2023–2025
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | 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 |
| 2024 | ICML | Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations. | Ze Cheng, Zhongkai Hao, Xiaoqiang Wang, Jianing Huang, Youjia Wu, Xudan Liu, Yiru Zhao, Songming Liu, Hang Su |
| 2024 | ICML | 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 |
| 2024 | ICML | Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. | Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu |
| 2023 | ICML | 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 |
| 2023 | ICML | NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. | Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu |
| 2023 | ICML | MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks. | Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu |