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2020 – today
- 2024
[j4]Wenrui Hao
, Qingguo Hong, Xianlin Jin:
Gauss Newton Method for Solving Variational Problems of PDEs with Neural Network Discretizaitons. J. Sci. Comput. 100(1): 17 (2024)- 2023
- [j3]Jonathan W. Siegel, Qingguo Hong, Xianlin Jin, Wenrui Hao, Jinchao Xu:
Greedy training algorithms for neural networks and applications to PDEs. J. Comput. Phys. 484: 112084 (2023) - [j2]Xianlin Jin:
Political ideology and differences in seeking COVID-19 information on the internet: examining the comprehensive model of information seeking. Online Inf. Rev. 47(7): 1280-1301 (2023) - [i4]Xianlin Jin, Shuonan Wu:
Two families of n-rectangle nonconforming finite elements for sixth-order elliptic equations. CoRR abs/2303.05784 (2023) - [i3]Wenrui Hao, Qingguo Hong, Xianlin Jin, Yiran Wang:
Gauss Newton method for solving variational problems of PDEs with neural network discretizaitons. CoRR abs/2306.08727 (2023) - 2021
- [i2]Wenrui Hao, Xianlin Jin, Jonathan W. Siegel, Jinchao Xu:
An efficient greedy training algorithm for neural networks and applications in PDEs. CoRR abs/2107.04466 (2021)
2010 – 2019
- 2019
- [j1]Patric R. Spence, Autumn Edwards, Chad Edwards, Xianlin Jin:
'The bot predicted rain, grab an umbrella': few perceived differences in communication quality of a weather Twitterbot versus professional and amateur meteorologists. Behav. Inf. Technol. 38(1): 101-109 (2019) - [i1]Kejia Pan, Xianlin Jin, Dongdong He, Qifeng Zhang:
Optimal Pointwise Error Estimate for the Numerical solutions of Two-dimensional Space Fractional Nonlinear Schrödinger Equation. CoRR abs/1910.08311 (2019)
Coauthor Index
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