科言猫
学术研究的AI总结
首页
文献互助
订阅
我的收藏
科研工具
选题分析
论文总结
专利管理
未登录
返回
L
Liu Yang
Chengdu University of Technology
16
H指数
36
论文数
8.2K
被引数
0
相关解读
订阅
收录论文
13
发表时间
发表时间
IF
被引数
Fine-tune language models as multi-modal differential equation solvers
将语言模型微调为多模态微分方程求解器
NEURAL NETWORKS
IF
6.3
2025-05-27
0
OA
AI
Yang, Liu; Liu, Siting; Osher, Stanley J.
分享
收藏
Efficient Progressive Mamba Model for Hyperspectral Sequence Unmixing
高效渐进式Mamba模型用于高光谱序列解混
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IF
5.3
2025-01-01
0
OA
AI
Yang Liu; Shujun Liu; Huajun Wang
分享
收藏
PDE generalization of in-context operator networks: A study on 1D scalar nonlinear conservation laws
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2024-12-01
2
OA
AI
Yang, Liu; Osher, Stanley J.
分享
收藏
In-context operator learning with data prompts for differential equation problems
带有微分方程问题的数据提示的上下文运算符学习
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF
9.1
2023-09-19
5
OA
AI
Yang, Liu; Liu, Siting; Meng, Tingwei; Osher, Stanley J.
分享
收藏
Learning functional priors and posteriors from data and physics
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2022-05-01
32
OA
AI
Meng, Xuhui; Yang, Liu; Mao, Zhiping; Ferrandis, Jose del Aguila; Karniadakis, George Em
分享
收藏
Potential Flow Generator With L2 Optimal Transport Regularity for Generative Models
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF
8.9
2022-02-01
12
OA
AI
Yang, Liu; Karniadakis, George Em
分享
收藏
GENERATIVE ENSEMBLE REGRESSION: LEARNING PARTICLE DYNAMICS FROM OBSERVATIONS OF ENSEMBLES WITH PHYSICS-INFORMED DEEP GENERATIVE MODELS
SIAM JOURNAL ON SCIENTIFIC COMPUTING
IF
2.6
2022-01-13
16
OA
AI
Yang, Liu; Daskalakis, Constantinos; Karniadakis, George E.
分享
收藏
SOLVING INVERSE STOCHASTIC PROBLEMS FROM DISCRETE PARTICLE OBSERVATIONS USING THE FOKKER-PLANCK EQUATION AND PHYSICS-INFORMED NEURAL NETWORKS
SIAM JOURNAL ON SCIENTIFIC COMPUTING
IF
2.6
2021-06-28
64
OA
AI
Chen, Xiaoli; Yang, Liu; Duan, Jinqiao; Karniadakis, George E. M.
分享
收藏
B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data
B-pinns: 贝叶斯物理通知神经网络,用于带噪声数据的正向和反向PDE问题
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2021-01-01
567
OA
AI
Yang, Liu; Meng, Xuhui; Karniadakis, George Em
分享
收藏
Reinforcement learning for bluff body active flow control in experiments and simulations
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF
9.1
2020-10-05
157
OA
AI
Fan, Dixia; Yang, Liu; Wang, Zhicheng; Triantafyllou, Michael S.; Karniadakis, George Em
分享
收藏
PHYSICS-INFORMED GENERATIVE ADVERSARIAL NETWORKS FOR STOCHASTIC DIFFERENTIAL EQUATIONS
随机微分方程的物理信息生成对抗网络
SIAM JOURNAL ON SCIENTIFIC COMPUTING
IF
2.6
2020-02-04
252
OA
AI
Yang, Liu; Zhang, Dongkun; Karniadakis, George Em
分享
收藏
Neural-net-induced Gaussian process regression for function approximation and PDE solution
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2019-05-01
44
OA
AI
Pang, Guofei; Yang, Liu; Karniadakis, George E. M.
分享
收藏
Bi-directional coupling between a PDE-domain and an adjacent Data-domain equipped with multi-fidelity sensors
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2018-12-01
1
OA
AI
Zhang, Dongkun; Yang, Liu; Karniadakis, George Em
分享
收藏
研究方向
暂时未获取到该数据
合作学者
合作期刊
G
George Em Karniadakis
H 指数: 130 · 论文数: 1.3K
S
Stanley Osher
H 指数: 121 · 论文数: 775
M
Michael S. Triantafyllou
H 指数: 55 · 论文数: 417
C
Constantinos Daskalakis
H 指数: 44 · 论文数: 275
X
Xuhui Meng
H 指数: 23 · 论文数: 82
查看更多