Sign in
Songming Liu
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 13
Top Topics
Translation And Scale Invariant
Reinforcement Learning
Multiscale
Automatically Segmented
Top Venues
CoRR
ICML
Neurocomputing
NeurIPS
</>
Publications
</>
Songming Liu
,
Chang Su
,
Jiachen Yao
,
Zhongkai Hao
,
Hang Su
,
Youjia Wu
,
Jun Zhu
Preconditioning for Physics-Informed Neural Networks.
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)
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)
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)