王素敏

博士，讲师

王素敏，女，汉族，1989年11月，博士，讲师。

【研究领域】

试验设计、大规模复杂数据的抽样与分析

【主讲课程】

试验设计、数据采集方法、统计计算、多元统计、随机过程

【研究生招生学科方向】

硕士：应用统计

【科研项目】

[1]国家自然科学基金青年科学基金项目(No. 12401324), 基于试验设计方法的大数据子抽样研究, 2025-20027

[2]河北省社会科学基金青年科学基金项目(No. HB25TJ003), 基于数据驱动的河北省防范中小银行金融风险对策研究，2025-2027

[3] 河北省统计科学研究计划项目(No. 2025HY26), 大数据背景下试验设计方法与生成模型的交叉融合研究, 2025-2027

【代表性论文】

[1]. Wang Sumin; Sun Fasheng; Liu Minqian*. Energy distance-based subsampling Markov chain Monte Carlo, Science China Mathematics (Top), 2025, 68(9): 2207–2230.

[2]. Wen Bin#; Wang Sumin#; Sun Fasheng*. Enhanced branching Latin hypercube design and its application in automatic algorithm configuration, Scandinavian Journal of Statistics, 2025, 52:1239–1280.

[3]. Jiang Yanjiao#; Wang Sumin#; Yang Jianfeng*. Construction of grouped (nearly) orthogonal Latin hypercube designs, Metrika, 2025, https://doi.org/10.1007/s00184-025-01007-0.

[4]. Wang Sumin; Gao Yuyou; Zhou Yongdao; Pan Bin; Xu Xia*; Li Tao. Reducing the statistical error of generative adversarial networks using space-filling sampling, Stat, 2024, 13(1): 1-15.

[5]. Wang Sumin; Sun Fasheng*. Deterministic sampling based on Kullback-Leibler divergence and its applications, Statistical Papers, 2024, 65(3): 1411-1436.

[6]. Yu Ludan#; Wang Sumin#; Sun Fasheng*. Online optimal subsampling in large-scale quasi-Newton optimization for data streams, 2026, submitted to Journal of Machine Learning Research, under review.

[7]. Wang Sumin; Wang Dongying; Sun Fasheng*. A central limit theorem for marginally coupled designs, Statistics and Probability Letters, 2019, 146 (3):168-174.

[8]. Yu Zhuang; Shi Shuming*; Wang Sumin; Mu Yu; Li Wenru; Xu Chao; Zhang Man. Statistical inference-based research on sampling time of vehicle driving cycle experiments, Transportation Research Part D Transport and Environment, 2017, 54 (7): 114-141.

【联系方式】

邮箱：wangsm088@hebut.edu.cn