Songming Liu

According to our database, Songming Liu authored at least 17 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Regulating learning module for patient monitoring interactive event detecting robots.

Fan Wu, Lin Wu, Songming Liu, Ghulam Abbas, Salwa Othmen, Jingming Wang

Expert Syst. Appl., 2025

2024

ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generation.

Hengkai Tan, Xuezhou Xu, Chengyang Ying, Xinyi Mao, Songming Liu, Xingxing Zhang, Hang Su, Jun Zhu

CoRR, 2024

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

CoRR, 2024

Preconditioning for Physics-Informed Neural Networks.

Songming Liu, Chang Su, Jiachen Yao, Zhongkai Hao, Hang Su, Youjia Wu, Jun Zhu

CoRR, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu

CoRR, 2023

Reward Informed Dreamer for Task Generalization in Reinforcement Learning.

Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Songming Liu, Jialian Li, Dong Yan, Jun Zhu

CoRR, 2023

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

Proceedings of the International Conference on Machine Learning, 2023

NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data.

Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the International Conference on Machine Learning, 2023

Arterial Traffic Optimization Algorithm Based on Deep Reinforcement Learning and Green Wave Coordination Control in Complex Lane Queuing Conditions.

Tong Wang, Songming Liu, Liwei Chen, Min Ouyang, Shan Gao, Yingxue Zhang

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

Vessel Traffic Flow Prediction and Analysis Based on Ship Big Data.

Tong Wang, Xiaoyang Gai, Songming Liu, Shan Gao, Min Ouyang, Liwei Chen

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

2022

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

CoRR, 2022

A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs.

Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip.

Nianyin Zeng, Han Li, Zidong Wang, Weibo Liu, Songming Liu, Fuad E. Alsaadi, Xiaohui Liu

Neurocomputing, 2021