Qing Li
Ekstern tilknyttet UiS
Institutt for energi- og petroleumsteknologi
Ekstern tilknyttet UiS
Li, Qing; Evje, Steinar
(2024)
Learning the flux and diffusion function for degenerate convection-diffusion equations using different types of observations.BIT Numerical Mathematics.
ISSN 0006-3835.
Volum 64.
Hefte 2.
Li, Qing; Evje, Steinar
(2024)
An alternating flux learning method for multidimensional nonlinear conservation laws.
SIAM Journal on Scientific Computing.
ISSN 1064-8275.
Li, Qing; Evje, Steinar
(2023)
Learning the nonlinear flux function of a hidden scalar conservation law from data.Networks and Heterogeneous Media.
ISSN 1556-1801.
Volum 18.
Hefte 1.
s.48-79.
DOI: 10.3934/nhm.2023003
Geng, Jiahui; Mou, Yongli; Li, Qing; Li, Feifei; Beyan, Oya; Decker, Stefan; Rong, Chunming
(2023)
Improved Gradient Inversion Attacks and Defenses in Federated Learning.IEEE Transactions on Big Data.
ISSN 2332-7790.
Li, Qing; Geng, Jiahui; Evje, Steinar
(2023)
Identification of the flux function of nonlinear conservation laws with variable parameters.Physica D : Non-linear phenomena.
ISSN 0167-2789.
Volum 451.
Li, Qing; Evje, Steinar; Geng, Jiahui
(2023)
Learning Parameterized ODEs From Data.IEEE Access.
ISSN 2169-3536.
Volum 11.
s.54897-54909.
Li, Qing; Geng, Jiahui; Evje, Steinar; Rong, Chunming
(2023)
Solving Nonlinear Conservation Laws of Partial Differential Equations Using Graph Neural Networks.Proceedings of the Northern Lights Deep Learning Workshop.
Volum 4.
DOI: 10.7557/18.6808
Qiao, Yangyang; Li, Qing; Evje, Steinar
(2021)
On the numerical discretization of a tumor progression model driven by competing migration mechanisms.Mathematics in Engineering.
ISSN 2640-3501.
Volum 4.
Hefte 6.
s.1-24.
DOI: 10.3934/mine.2022046
Li, Qing; Geng, Jiahui; Evje, Steinar; Rong, Chunming
(2023)
Solving Nonlinear Conservation Laws of Partial Differential Equations Using Graph Neural Networks.
Northern Lights Deep Learning Workshop 2023;
2023-01-10 - 2023-01-12.
Geng, Jiahui; Mou, Yongli; Li, Qing; Beyan, Oya; Decker, Stefan; Rong, Chunming; Li, Feifei
(2022)
Towards general deep leakage in federated learning.
International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI 2022 (FL-AAAI-22);
2022-03-02 - 2022-03-03.