Songming Liu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Reinforcement Learning

Eligibility Traces

Top Venues

ChineseCSCW (2)

ChineseCSCW (1)

Publications

Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. CoRR (2024)
Songming Liu, Chang Su, Jiachen Yao, Zhongkai Hao, Hang Su, Youjia Wu, Jun Zhu
Preconditioning for Physics-Informed Neural Networks. CoRR (2024)
Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training. CoRR (2024)
Ze Cheng, Zhongkai Hao, Xiaoqiang Wang, Jianing Huang, Youjia Wu, Xudan Liu, Yiru Zhao, Songming Liu, Hang Su
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations. CoRR (2024)
Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks. CoRR (2023)
Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. CoRR (2023)
Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. ICML (2023)
Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs. CoRR (2023)
Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks. ICML (2023)
Tong Wang, Songming Liu, Liwei Chen, Min Ouyang, Shan Gao, Yingxue Zhang
Arterial Traffic Optimization Algorithm Based on Deep Reinforcement Learning and Green Wave Coordination Control in Complex Lane Queuing Conditions. ChineseCSCW (2) (2023)
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Songming Liu, Jialian Li, Dong Yan, Jun Zhu
Reward Informed Dreamer for Task Generalization in Reinforcement Learning. CoRR (2023)
Tong Wang, Xiaoyang Gai, Songming Liu, Shan Gao, Min Ouyang, Liwei Chen
Vessel Traffic Flow Prediction and Analysis Based on Ship Big Data. ChineseCSCW (1) (2023)
Zhongkai Hao, Chengyang Ying, Zhengyi Wang, Hang Su, Yinpeng Dong, Songming Liu, Ze Cheng, Jun Zhu, Jian Song
GNOT: A General Neural Operator Transformer for Operator Learning. CoRR (2023)
Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu
GNOT: A General Neural Operator Transformer for Operator Learning. ICML (2023)
Zhongkai Hao, Songming Liu, Yichi Zhang, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications. CoRR (2022)
Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs. CoRR (2022)
Songming Liu, Hao Zhongkai, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs. NeurIPS (2022)
Nianyin Zeng, Han Li, Zidong Wang, Weibo Liu, Songming Liu, Fuad E. Alsaadi, Xiaohui Liu
Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip. Neurocomputing 425 (2021)