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Liu Yang

Chengdu University of Technology

16H-index
36Paper Count
8.2KCitation Count
Published Papers 13
Publication Date
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Fine-tune language models as multi-modal differential equation solvers
errNEURAL NETWORKS
IF6.3
err2025-05-27
err0
errOAAI
errYang, Liu; Liu, Siting; Osher, Stanley J.
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Efficient Progressive Mamba Model for Hyperspectral Sequence Unmixing
errIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IF5.3
err2025-01-01
err0
errOAAI
errYang Liu; Shujun Liu; Huajun Wang
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errSave
PDE generalization of in-context operator networks: A study on 1D scalar nonlinear conservation laws
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2024-12-01
err2
errOAAI
errYang, Liu; Osher, Stanley J.
errShare
errSave
In-context operator learning with data prompts for differential equation problems
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2023-09-19
err5
errOAAI
errYang, Liu; Liu, Siting; Meng, Tingwei; Osher, Stanley J.
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Learning functional priors and posteriors from data and physics
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2022-05-01
err32
errOAAI
errMeng, Xuhui; Yang, Liu; Mao, Zhiping; Ferrandis, Jose del Aguila; Karniadakis, George Em
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errSave
Potential Flow Generator With L2 Optimal Transport Regularity for Generative Models
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2022-02-01
err12
errOAAI
errYang, Liu; Karniadakis, George Em
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errSave
GENERATIVE ENSEMBLE REGRESSION: LEARNING PARTICLE DYNAMICS FROM OBSERVATIONS OF ENSEMBLES WITH PHYSICS-INFORMED DEEP GENERATIVE MODELS
errSIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
err2022-01-13
err16
errOAAI
errYang, Liu; Daskalakis, Constantinos; Karniadakis, George E.
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SOLVING INVERSE STOCHASTIC PROBLEMS FROM DISCRETE PARTICLE OBSERVATIONS USING THE FOKKER-PLANCK EQUATION AND PHYSICS-INFORMED NEURAL NETWORKS
errSIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
err2021-06-28
err64
errOAAI
errChen, Xiaoli; Yang, Liu; Duan, Jinqiao; Karniadakis, George E. M.
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errSave
B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2021-01-01
err567
errOAAI
errYang, Liu; Meng, Xuhui; Karniadakis, George Em
errShare
errSave
Reinforcement learning for bluff body active flow control in experiments and simulations
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2020-10-05
err157
errOAAI
errFan, Dixia; Yang, Liu; Wang, Zhicheng; Triantafyllou, Michael S.; Karniadakis, George Em
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errSave
PHYSICS-INFORMED GENERATIVE ADVERSARIAL NETWORKS FOR STOCHASTIC DIFFERENTIAL EQUATIONS
errSIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
err2020-02-04
err252
errOAAI
errYang, Liu; Zhang, Dongkun; Karniadakis, George Em
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errSave
Neural-net-induced Gaussian process regression for function approximation and PDE solution
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2019-05-01
err44
errOAAI
errPang, Guofei; Yang, Liu; Karniadakis, George E. M.
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Bi-directional coupling between a PDE-domain and an adjacent Data-domain equipped with multi-fidelity sensors
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2018-12-01
err1
errOAAI
errZhang, Dongkun; Yang, Liu; Karniadakis, George Em
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Research Directions

The data has not been retrieved yet.
Co-authors
Cooperation Journals
G
George Em Karniadakis
H-index: 130 · Papers: 1.3K
S
Stanley Osher
H-index: 121 · Papers: 775
M
Michael S. Triantafyllou
H-index: 55 · Papers: 417
C
Constantinos Daskalakis
H-index: 44 · Papers: 275
X
Xuhui Meng
H-index: 23 · Papers: 82
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