laipeng
Professor
研究领域： 半参数模型统计推断 复杂数据统计分析 高维数据降维 科研成果： 主持和主要参与项目： 1、主持江苏省高校自然科学基金项目：缺失数据下的半参数模型变量选择方法研究（12KJB110016），2012.9-2014.12。 2、主持国家自然科学基金项目：半参数模型的估计有效性问题的研究（11226222），2013.1-2013.12。 3、参与江苏省自然科学基金项目：对称分布族下含测量误差的复杂数据建模和稳健诊断研究（BK2012459），2012.9-2015.12。 4、主持国家自然科学基金项目：基于变系数半参数模型的高维数据统计分析（11301279），2014.1-2016.12。 5、参与江苏省自然科学青年基金项目：超高维数据下带右删失的变系数模型统计推断（BK20140983），2014.9-2017.9。 6、主持江苏省自然科学基金面上项目：超高维不完全数据下的统计降维研究（BK20161530），2016.7-2019.6。 7、主持国家自然科学基金面上项目： 超高维复杂数据统计降维研究（11771215），2018.1-2021.12。 主要论文成果： Xia Wenjun, Su Liwen and Lai Peng. Detection and prediction of active ingredients in fingerprints of traditional Chinese medicine from a high-dimensional perspective. JOURNAL OF... More+
Paper Publications
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[1] laipeng.Transfer learning for high-dimensional linear regression under grouped variables.2026,236 (*):5p
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[2] 黄丽.Transfer learning in hard landing risk prediction.2026,0 (0):28p
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[3] laipeng.Robust estimation of the parametric regression model under semi-supervised transfer learning.2025,--- (---):18p
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[4] 王黎明.Hybrid Denoising-screening for High-dimensional Contaminated Data.2025,* (*):41p
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[5] laipeng.Semi-supervised estimation of a single-index varying-coefficient model.2025,218 (1):6p
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[6] laipeng.Semi-supervised estimation for the varying coefficient regression model.2024,9 (1):55-72
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[7] laipeng.Feature screening of ultrahigh dimensional longitudinal data based on the C-statistic.2023,16 (1):80-91
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[8] laipeng.Variable selection for nonparametric quantile regression via measurement error model.2022,online (online)
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[9] 王黎明.Unifiedmean-variance feature screening for ultrahigh-dimensional regression.2022,37 (4):1887-1918
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[10] 夏文俊.Detection and prediction of active ingredients in fingerprints of traditional Chinese medicine fro….2021,35 (7-8):15p
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[11] laipeng.Model identification and selection for single index varying coefficient models.2021,73 (3):457-480
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[12] laipeng.Feature screening of quadratic inference functions for ultrahigh dimensional longitudinal data.2020,90 (14):2614-2630
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[13] Robust model-free feature screening for ultrahigh dimensional surrogate data.Journal of Statistical Computation and Simulation.2019,90 (3):550-569
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[14] Evolution of soil surface charge in a chronosequence of paddy soil derived from Alfisol.SOIL & TILLAGE RESEARCH.2019,192 (-):144-150
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[15] Stable feature screening for ultrahigh dimensional data.JOURNAL OF THE KOREAN STATISTICAL SOCIETY.2019,48 (2): 221-232
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[16] Model free feature screening with dependent variable in ultrahigh dimensional binary classificatio….Statistics & Probability Letters.2017,125 (-): 141-148
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[17] Model free feature screening for ultrahigh dimensional data with responses missing at random.COMPUTATIONAL STATISTICS & DATA ANALYSIS.2017,105 (1):201-216
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[18] Efficient estimation for the heteroscedastic single-index varying coefficient models.STATISTICS & PROBABILITY LETTERS.2016,110 (1):84-93
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[19] Estimation and variable selection for proportional response data with partially linear single-inde….COMPUTATIONAL STATISTICS & DATA ANALYSIS.2016,96 (1):40-56
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[20] Variable selection and estimation for partially linear single-index models with longitudinal data.Statistics and Computing.2015,25 (3):579-593