Rujie LiuDept Math Chinese Univ Hong Kong关注立即认领分享关注立即认领分享基本信息浏览量:61职业迁徙个人简介暂无内容研究兴趣论文共 43 篇作者统计合作学者相似作者按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选时间引用量主题期刊级别合作者合作机构Spectral convergence of a semi-discretized numerical system for the Boltzmann equation with uncertaintiesLiu Liu,Kunlun QiCoRR (2024)引用0浏览0EI引用00On a neural network approach for solving potential control problem of the semiclassical Schr?dinger equation Yating Wang,Liu LiuarXiv (Cornell University) (2024): 115504-115504引用0浏览0EI引用00On a neural network approach for solving potential control problem of the semiclassical Schr?dinger equation Yating Wang,Liu LiuJOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS (2024): 115504引用0浏览0EI引用00A unified Bayesian inversion approach for a class of tumor growth models with different pressure laws Yu Feng,Liu Liu,Zhennan ZhouCoRR (2023)引用0浏览0EI引用00A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputsLiu Liu,Lorenzo Pareschi,Xueyu ZhuJournal of Computational Physics(2022)引用4浏览0EI引用40BI-FIDELITY STOCHASTIC COLLOCATION METHODS FOR EPIDEMIC TRANSPORT MODELS WITH UNCERTAINTIESGiulia Bertaglia,Liu Liu,Lorenzo Pareschi,Xueyu ZhuNETWORKS AND HETEROGENEOUS MEDIA(2022)引用5浏览0EI引用50SOLVING THE LINEAR TRANSPORT EQUATION BY A DEEP NEURAL NETWORK APPROACHZheng Chen,Liu Liu,Lin MuDISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S(2022)引用5浏览0EI引用50Convergence of the Fourier-Galerkin spectral method for the Boltzmann equation with uncertaintiesLiu Liu,Kunlun Qiarxiv(2022)引用0浏览0EI引用00Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties (preprint)Giulia Bertaglia,Liu Liu,Lorenzo Pareschi,Xueyu ZhuarXiv (Cornell University) (2021)引用0浏览0引用00Error Estimate Of A Bifidelity Method For Kinetic Equations With Random Parameters And Multiple ScalesGamba Irene M.,Jin Shi,Liu LiuINTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION(2021)引用7浏览0EI引用70加载更多作者统计合作学者合作机构D-Core合作者学生导师暂无相似学者,你可以通过学者研究领域进行搜索筛选数据免责声明页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn