Shan Luo(罗珊)长聘副教授School of Mathematical Sciences Shanghai Jiao Tong University关注立即认领分享关注立即认领分享基本信息浏览量:48职业迁徙个人简介暂无内容研究兴趣论文共 47 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Rank-Based Sequential Feature Selection for High-Dimensional Accelerated Failure Time Models with Main and Interaction Effects Ke Yu,Shan LuoComputational Statistics & Data Analysispp.107978, (2024)引用0浏览0引用00Feature selection in ultrahigh-dimensional additive models with heterogenous frequency component functions Yuyang Liu,Shan LuoJournal of Statistical Planning and Inference (2023): 243-265引用0浏览0引用00Fast Composite Optimization and Statistical Recovery in Federated LearningYajie Bao,Michael Crawshaw,Shan Luo,Mingrui LiuICML(2022)引用8浏览0EI引用80光伏组件高空核电磁脉冲模拟试验研究 沈高稳,罗珊,王金全,李建科兵器装备工程学报(2022)引用0浏览0引用00A semi-parametric approach to feature selection in high-dimensional linear regression models Yuyang Liu, Pengfei Pi,Shan LuoCOMPUTATIONAL STATISTICS(2022)引用0浏览0EI引用00Partial profile score feature selection in high-dimensional generalized linear interaction modelsZengchao Xu,Shan Luo,Zehua ChenSTATISTICS AND ITS INTERFACE(2022)引用1浏览0引用10A sequential feature selection procedure for high-dimensional Cox proportional hazards model Ke Yu,Shan LuoAnn Inst Stat Math(2022)引用0浏览0引用00Clinical Features In Coronavirus Disease 2019 (Covid-19) Patients With Early Clearance And Prolonged Shedding Of Severe Acute Respiratory Syndrome Coronavirus 2 (Sars-Cov-2) RnaYan Zhou,Fengming Ding,Wuping Bao,Yishu Xue,Lei Han,Xue Zhang,Pengyu Zhang,Yong Ji,Dongning Yin,Aihua Bao,Shan Luo,Zengchao Xu,ANNALS OF TRANSLATIONAL MEDICINE(2021)引用14浏览0WOS引用140Sequential interaction group selection by the principle of correlation search for high-dimensional interaction modelsShan Luo,Zehua ChenSTATISTICA SINICA(2021)引用6浏览0引用60A Portmanteau Local Feature Discrimination Approach to the Classification with High-dimensional Matrix-variate DataZengchao Xu,Shan Luo,Zehua ChenSankhya A(2021)引用2浏览0引用20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