Songming Liu

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

Nianyin Zeng, Han Li, Zidong Wang et al. · Neurocomputing · 2020 · 142 citations

Image Analysis, Machine Learning, Deep Learning +7

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Zhongkai Hao, Songming Liu, Yichi Zhang et al. · arXiv (Cornell University) · 2022 · 87 citations · Full text

Artificial Intelligence, Computational Science, Physics-based Vision +15

GNOT: A General Neural Operator Transformer for Operator Learning

Zhongkai Hao, Yinpeng Dong, Songming Liu et al. · arXiv (Cornell University) · 2023 · 35 citations · Full text

Geometric Learning, Engineering, Machine Learning +16

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

Zhongkai Hao, Jiachen Yao, Chang Su et al. · arXiv (Cornell University) · 2023 · 21 citations · Full text

Numerical Analysis, Engineering, Machine Learning +21

Prediction of high-quality reservoirs using the reservoir fluid mobility attribute computed from seismic data

Yijiang Zhang, Xiaotao Wen, Lian Jiang et al. · Journal of Petroleum Science and Engineering · 2020 · 16 citations

Earthquake Engineering, Engineering, Data Science +11