Liu Yang - Concepedia

Author

Liu Yang

Brown University ORCID

Also Known As

Liu Yang, Liu, Yang, Yang Liu, Yang, Liu

Publications

7.9K

Citations

H-Index

Concepts

All Affiliations

Brown University Pacific Northwest National Laboratory John Brown University University of California, Los Angeles Massachusetts Institute of Technology

About

Liu Yang is an author at Brown University specializing in machine learning, engineering, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	1.7K
2	Computer Engineering	3	3	243
3	Public Health	1	1	54
4	Social Sciences	1	1	76
5	Civil Engineering	1	1	23

Liu Yang

Publications

2.3K

Citations

H-Index

Page 1

	Year	Citations
B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data Liu Yang, Xuhui Meng, George Em Karniadakis Journal of Computational Physics Numerical AnalysisNumerical Method For Partial Differential EquationEngineeringMachine LearningPhysics	2020	959
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations Liu Yang, Dongkun Zhang, George Em Karniadakis SIAM Journal on Scientific Computing EngineeringMachine LearningNeural NetworkGenerative SystemStochastic Differential Equations	2020	396
Reinforcement learning for bluff body active flow control in experiments and simulations Dixia Fan, Liu Yang, Zhicheng Wang, Proceedings of the National Academy of Sciences	2020	237
Long Range Arena: A Benchmark for Efficient Transformers Yi Tay, Mostafa Dehghani, Samira Abnar, arXiv (Cornell University) Llm Fine-tuningPower EngineeringMachine LearningLong Range ArenaEnergy Efficiency	2020	194
Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker--Planck Equation and Physics-Informed Neural Networks Xiaoli Chen, Liu Yang, Jinqiao Duan, SIAM Journal on Scientific Computing	2021	108
Neural-net-induced Gaussian process regression for function approximation and PDE solution Guofei Pang, Liu Yang, George Em Karniadakis Journal of Computational Physics Machine LearningComputational NeuroscienceGaussian ProcessProcess ControlNeuronal Network	2019	76
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations Liu Yang, Dongkun Zhang, George Em Karniadakis arXiv (Cornell University) EngineeringMachine LearningNeural NetworkGenerative SystemStochastic Differential Equations	2018	59
Learning functional priors and posteriors from data and physics Xuhui Meng, Liu Yang, Zhiping Mao, Journal of Computational Physics Functional PriorsEngineeringMachine LearningData SciencePhysic Aware Machine Learning	2022	54
In-context operator learning with data prompts for differential equation problems Liu Yang, Tingwei Meng, Stanley Osher Proceedings of the National Academy of Sciences	2023	38
Highly-scalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs Liu Yang EngineeringMachine LearningGpu ComputingData SciencePhysic Aware Machine Learning	2019	33

Page 1