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王亚平

  • 个人资料
    • 部门: 统计学院
    • 性别:
    • 专业技术职务: 教授
    • 毕业院校: 北京大学
    • 学位: 博士
    • 学历: 博士研究生
    • 联系电话:
    • 电子邮箱: ypwang@fem.ecnu.edu.cn
    • 办公地址: 中北校区理科大楼A1506B
    • 通讯地址: 上海市普陀区中山北路3663号华东师范大学经济与管理学部统计学院
    • 邮编: 200062
    • 传真:

    工作经历

    2018.08-至今,华东师范大学,统计学院

    教育经历

    2013.09-2018.07,北京大学,数学科学学院,博士,导师:艾明要教授

    2016.09-2017.08,UCLA统计系,联合培养博士,导师:徐洪泉教授

    2009.09-2013.07,北京大学,数学科学学院,学士

    个人简介

    王亚平,华东师范大学统计学院教授,博士生导师,入选国家高层次青年人才计划(教育部),主要研究方向为试验设计与分析,计算机试验,应用统计等,在Annals of Statistics, JASA, Biometrika及《中国科学》等国内外期刊上发表学术论文二十余篇。

    社会兼职

    中国现场统计研究会试验设计分会常务理事

    全国工业统计学教学研究会青年统计学家协会常务理事

    中国数学会均匀设计分会委员

    《应用概率统计》责任编辑

    研究方向

    试验设计

    计算机试验

    应用统计


    招生与培养

    开授课程

    试验设计

    数学分析

    高等代数

    线性代数

    概率论与数理统计A,B

    应用多元统计分析(研究生)


    科研项目

    国家自然科学基金面上项目,“复杂计算机试验的设计与相关大数据子抽样方法研究”,2023/01-2026/12

    国家自然科学基金青年项目,“空间填充设计的若干最优准则与构造方法研究”,2020/01-2022/12

    上海市科委扬帆项目,“最大最小距离计算机试验设计的理论与构造研究”,2019/05-2022/04

    上海市教委晨光项目,“均匀投影设计及其在计算机试验中的应用”,2020/01-2022/12

    东北师范大学应用统计教育部重点实验室开放课题,“基于试验设计的大数据最优子集的抽样方法研究”,2020/05-2020/12



    学术成果

    Refereed journal publications

    23. Wang, Y., Liu, S., Xiao, Q. (2024+).  Construction of orthogonal-MaxPro Latin hypercube designs. Journal of Quality Technology,  accepted.

    22. Jiang, B., Wang, Y., Sun, F. (2024+).  On construction of strong orthogonal arrays and column-orthogonal strong orthogonal arrays of strength two plus. Science China-Mathematics,  accepted.

    21. Zhang, X., Wang, Y., Sun, F. (2024+).  Theory and applications of space-filling pattern and projection pattern. Metrika,  accepted.

    20. Xiao, Q., Wang, Y., Mandal, A., Deng, X. (2024). Modeling and active learning for experiments with quantitative-sequence factors. Journal of the American Statistical Association, 119, 407-421.

    19. Liu, S., Wang, Y.* (2024). New bounds and search for maximin distance U-type designs. Stat, 13, e650.

    18. Yu, J., Meng, X., Wang, Y.* (2023). Optimal designs for semi-parametric dose-response models under random contamination. Computational Statistics & Data Analysis, 178, 107615.

    17. Wang, Y., Sun, F. (2023). On the maximin distance properties of orthogonal designs via the rotation. Science China-Mathematics, 66, 1593-1608.

    16. Liu, S., Wang, Y., Sun, F. (2023). Two-dimensional projection uniformity for space-filling designs. Canadian Journal of Statistics, 53, 293-311.

    15. Jiang, B., Wang, F., Wang, Y.* (2022). Construction of uniform mixed-level designs through level permutations. Metrika, 85, 753-770.

    14. Jiang, B., Wang, Y., Ai, M. (2022). Search for minimum aberration designs with uniformity. Annals of the Institute of Statistical Mathematics, 74, 271-287.

    13. Wang, Y., Sun, F., Xu, H. (2022). On design orthogonality, maximin distance and projection uniformity for computer experiments. Journal of the American Statistical Association, 117, 375-385.

    12. Pang, S., Wang, Y.*, Ai, M. (2022). Construction of orthogonal arrays without interaction columns. Acta Mathematicae Applicatae Sinica, English Series, 38, 159-168.

    11. Wang, Y., Liu, S., Lin, D. K. J. (2022). On definitive screening designs using Paley's conference matrices. Statistics & Probability Letters, 181, 109267.

    10. Wang, Y., Wang, F., Yuan, Y., Xiao, Q. (2021). Connecting U-type designs before and after level permutations and expansions, Journal of Statistical Theory and Practice, 15:81.

    9. Wang, Y., Peng, Z., Zhang, R., Xiao, Q. (2021). Robust sequential design for piecewise-stationary multi-armed bandit problem in the presence of outliers. Statistical Theory and Related Fields, 5, 122-133.

    8. Jiang, B., Wang, Z., Wang, Y.* (2021). Strong orthogonal arrays of strength two-plus based on the Addelman-Kempthorne method. Statistics & Probability Letters175, 109114.

    7. Su, Z., Wang, Y.*, Zhou, Y. (2020). On maximin distance and nearly orthogonal Latin hypercube designs. Statistics & Probability Letters166, 108878.

    6. Sun, F., Wang, Y., Xu, H. (2019). Uniform projection designs. Annals of Statistics, 47, 641-661.

    5. Wang, Y., Yang J., Xu, H. (2018). On the connection between maximin distance designs and orthogonal designs. Biometrika, 105, 471-477.

    4. Yu, J., Ai, M., Wang, Y. (2018). Optimal designs for linear models with Fredholm-type errors. Journal of Statistical Planning and Inference, 194, 65-74.

    3. Wang, Y., Ai, M. (2017). Definitive screening designs with extreme numbers of level changes. Statistics & Probability Letters, 131, 13-18.

    2. Wang, Y., Ai, M. (2016). Optimal designs for multiple treatments with unequal variances. Journal of Statistical Planning and Inference, 171, 175-183.

    1. Wang, Y., Ai, M., Li, K. (2016). Optimality of pairwise blocked definitive screening designs. Annals of the Institute of Statistical Mathematics, 68, 659-671.


    Textbook

    《试验设计》第三版,茆诗松、周纪芗、周迎春、王亚平,中国统计出版社,2020年


    荣誉及奖励

    国家高层次青年人才计划(教育部)

    中国科协青年人才托举工程

    华东师范大学紫江优秀青年学者

    北京大学优秀博士论文