我院博士研讨生陈灿贻和导师朱利平教授协作宣告多篇高水平论文
陈灿贻,我国公民大学计算与大数据研讨院2021级直博生,首要研讨方向为分布式计算学习、独立性查验和充分降维。当前已有六篇论文宣告在计算学期刊《statistica sinica》、《journal of computational and graphical statistics》、《journal of multivariate analysis》、《statistics and its interface》和《使用概率计算》,并曾参加2021年数据科学前沿论坛暨博士研讨生学术交流研讨会做分组陈述。博士学习时刻成果优良,多次获得我国公民大学一等奖学金。
朱利平,我国公民大学“超卓专家”特聘教授,计算与大数据研讨院院长,博士生导师。概况请见自个主页:http://isbd.ruc.edu.cn/sztd/1300f3797f4e477789514056a51c9dfa.htm.
1. canyi chen, wangli xu, and liping zhu. 2022. “distributed estimation in heterogeneous reduced rank regression: with application to order determination in sufficient dimension reduction.” journal of multivariate analysis 190 (july): 104991. https://doi.org/10.1016/j.jmva.2022.104991.
2. yilin zhang, canyi chen, and liping zhu. 2022. “sliced independence test.” statistica sinica. https://doi.org/10.5705/ss.202121.0203.
3. canyi chenand liping zhu. 2022. “distributed decoding from heterogeneous 1-bit compressive measurements.” journal of computational and graphical statistics 0 (ja): 1–25. https://doi.org/10.1080/10618600.2022.2118751.
4. canyi chen, yuwen gu, hui zou, and liping zhu. 2022. “distributed sparse composite quantile regression in ultrahigh dimensions.” statistica sinica. https://doi.org/10.5705/ss.202122.0095.
5. yiran he, canyi chen, and wangli xu. 2022
. distributed estimation of high-dimensional linear quantile regression. statistics and its interface.
6. song, pengfei, canyi chen, yuan lou, hui jiang, weimin li, liping zhu. 2021. assessing effectiveness of integrated strategies for preventing and controlling the outbreak of covid-19 and predicting impact of opening exit channels to leave hubei province. chinese journal of applied probability and statistics 36(3): 321-330.
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