CURRICULUM  VITAE

 

Mingyao Ai, Ph.D.

Professor of Statistics

Center for Statistical Science

School of Mathematical Sciences

Peking University

Beijing 100871, P. R. China

Email: myai@pku.edu.cn, myai@math.pku.edu.cn

http://www.math.pku.edu.cn/teachers/aimy

 

Research Interests

Big data subsampling; Complex data analysis; Design and analysis of experiments; Computer experiments; Applied statistics.

 

Degrees

2000.09-2003.06, Ph.D., Thesis: Construction Theory for Fractional Factorial Designs, School of Math, Nankai University. Supervisor: Prof. Runchu Zhang.

1988.09-1991.06, M.Sc., Thesis: Admissibility of Linear Estimates of Random Regression Coefficients and Parameters in Multivariate Linear Models, Dept. of Math, CCNU. Supervisor: Prof. Mingyuan Xia.

1984.09-1988.06, B.Sc., Dept. of Math, Central China Normal University (CCNU).

 

Appointments

2022.09-present, Professor of Tier-2, School of Mathematical Sciences, PKU.

2018.09-2021.06, Member of Mathematical Division, Academic Degrees Committee, PKU.

2013.03-2021.11, Director of Statistics Group, School of Mathematical Sciences, PKU.

2012.08-2022.08, Professor of Statistics, School of Math Sciences and Center for Statistical Science, PKU.

2008.05-present, Ph.D. Graduate Supervisor of Statistics, School of Math Sciences, PKU.

2006.08-2012.07, Associate Professor of Statistics, School of Math Sciences, PKU.

2005.06-2006.07, Assistant Professor of Statistics, School of Math Sciences, PKU.

2003.07-2005.05, Postdoctoral Fellow, School of Mathematical Sciences, PKU.

1995.09-2003.06, Associate Professor of Math, Dept. of Computer Science, HNIFE.

 

Editorships

2023.01-present, Member of Editorial Committee for Advances in Mathematics (China).

2021.12-present, Member of Editorial Committee for Journal of Applied Statistics and Management.

2018.09-present, Member of Editorial Committee for Statistics and Data Science Series, Science Press.

2017.08-2020.07, Associate Editor, Statistica Sinica.

2014.04-present, Associate Editor, Statistics and Probability Letters (SPL).

2014.01-present, Member of Editorial Committee, Journal of System Science and Mathematical Science (Chinese series).

2012.05-present, Associate Editor, STAT (an electronic journal of the International Statistical Institute).

2012.01-present, Associate Editor, Journal of Statistical Planning and Inference (JSPI).

 

Professional Services

2023.03-present, Vice President, Committee of Statistical Survey, CAAS.

2023.02-present, Standing council member, China Statistical Society.

2022.12-present, Standing council member, Chinese Society of Probability and Statistics.

2021.12-present, Member, National Committee of Educational Guidance for Professional Degree in Applied Statistics.

2021.11-present, Vice President, Chinese Association of Applied Statistics.

2019.11-present, Council member, Chinese Mathematical Society.

2018.10-2022.12, General Secretary, Chinese Society of Probability and Statistics.

2018.01-2023.02, Council member, China Statistical Society.

2017.11-2021.11, Standing council member, Chinese Association of Applied Statistics.

2016.11-present, Vice President, Committee of Uniform Design, Chinese Math Society.

2015.04-present, Vice President, Committee of High-dimentional Data Statistics, CAAS.

2014.11-2022.11, President, Committee of Design of Experiments, CAAS.

2014.09-2021.11, General Secretary, Committee of Spatial Statistics, CAAS.

2014.08-2019.09, Standing council member, Higher Education Division, Chinese Society of Statistics Education.

2013.08-2017.10, Council member, Chinese Association of Applied Statistics.

2012.10-2016.10, Standing council member, Chinese Society of Uniform Designs.

2012.08-2015.07, Elected member, IMS-China Committee.

2009.10-2014.10, Vice President, Committee of Design of Experiments, CAAS.

2009.08-2017.10, Vice General Secretary, Chinese Association of Applied Statistics (CAAS).

2006.11-2014.10, Vice General Secretary, Chinese Society of Probability and Statistics.

 

Awards

2022.10, Beijing Municipal Education & Teaching Achievement Award (2st Class), Rank 2/5. (京教人[2022]15)

2021.12, Peking University 2021 Excellent Teaching Achievement Award (1st Class), Rank 2/5.

2020.12, Peking University 2020 P&G Teaching Award.

2018.07, Supervisor of 2018 Peking University Excellent PhD Thesis (Dr. Yaping Wang).

2015.07, Supervisor of 2015 Peking University Excellent PhD Thesis (Dr. Kang Li).

2012.12, Peking University 2012 P&G Teaching Award.

2004.05, Nominated by Nankai University for the National Excellent PhD Thesises of China.

1999.05, Henan Province Natural Science Excellent Paper Award (2nd class).

 

Academic Visits

2023.07.24-2023.08.22, Visiting Professor, Dept of Statistics, UWisconsin-Madison.

2018.01.02-2018.02.28, Research Fellow, Dept of SEEM, City University of HK.

2017.02.02-2017.05.01, Research Fellow, Dept of SEEM, City University of HK.

2016.01.26-2016.03.25, Research Fellow, Dept of SEEM, City University of HK.

2008.10.01-2008.10.03, Visiting Associate Professor, Dept. of Statistics, University of Wisconsin--Madison.

2007.08.19-2009.01.30, Visiting Associate Professor, School of ISyE, Georgia Institute of Technology.

2007.01.11-2007.02.24, Research Associate, Dept of IELM, School of Engineering, HKUST.

2006.06.16-2006.08.31, Research Associate, Dept of IELM, School of Engineering, HKUST.

2005.07.02-2005.09.01, Research Associate, Dept of IMSE, Faculty of Engineering, HKU.

2004.11.01-2005.02.28, Visiting Research Scholar, Dept of Math., HKBU.

2003.11.18-2004.02.17, Visiting Research Scholar, PKU-HKBU JRIAM, HKBU.

 

Research Grants and Projects   

2022.01-2026.12, Research on the sampling techniques and statistical design theories for big data (NNSF of China, Key Project PI, No. 12131001, 2.52 million CNY)

2021.01-2024.12, Research on experimental design and sampling techniques in big data analysis (NNSF of China, PI, No. 12071014, 0.52 million CNY)

2017.01-2020.12, The research on the fundamental theories of statistical inference for experimental designs (NNSF of China, PI, No. 11671019, 0.48 million CNY)

2016.08-2020.07, Statistical diagnosis models for air quality (China’s National Key Research Special Program grant 2016YFC0207700)

2014.01-2018.12, Methods, theories and applications of statistical analysis for biological and medical data (NNSF of China, Key Project, No. 11331011)

2013.01-2016.12, The research on the newest theories of the design and modeling for computer experiments (NNSF of China, PI, No. 11271032)

2010.10-2011.12, The further study on the construction theory of nested space-filling designs (SRF for ROCS, State Education Ministry.)

2010.01-2012.12, The study on the overall design and analysis of computer and practical experiments (NNSF of China, PI, No. 10971004)

2007.08-2011.12, The essential study on the properties of the Chinese medicines based on three components constitution (Director of Data Analysis, The National Basic Research Project of China (973), No. 2007CB512605)

2007.01-2009.12, The study on the construction and analysis of some newest classes of designs in complex system experiments (NNSF of China, PI, No. 10671007)

2006.01-2008.12, The further study on the construction and analysis of some general types of optimal factorial designs (NNSF of China, Co-PI, No. 10571093)

2004.07, The study on theories and methods for the construction of optimal fractional factorial designs (The 35th group of CPSF, PI, No. 20040350240)

 

Publications

Books

1.      Zhang, Runchu; Zheng, Haitao; Lan, Yan; Ai, Mingyao; Lin, Yi; Yang, Guijun (2003). Chinese-Translated Book from “Wu, C.F.J. and Hamada, M. (2000). Experiments: Planning, Analysis and Parameter Design Optimization. John Wiley & Sons, New York.” China Statistics Press.

2.      Lian, Wenxing; Cheng, Shihui; Li, Mingzhen; Ai, Mingyao (1998). Computing Methods. Neimenggu University Press. 

 

Refereed Journal Papers

1.      Ye, Zhiqiang; Yu, Jun; Ai, Mingyao (2024). Optimal Subsampling for Multinomial Logistic Models with Big Data. Statistica Sinica, online Sep 5, 2023. https://doi.org/10.5705/ss.202022.0277.

2.      Yu, Jun; Ai, Mingyao; Ye, Zhiqiang (2024). A review on design inspired subsampling for big data. Statistical Papers 65, 467-510. https://doi.org/10.1007/s00362-022-01386-w.

3.      Yan, Chongya; Li, Zhiming; Ai, Mingyao (2023). Characterization of three-order confounding via consulting sets. Metrika 86(7), 753-779.

4.      Yin, Changming; Ai, Mingyao; Chen, Xia; Kong, Xiangshun (2023). Empirical likelihood for generalized linear models with longitudinal data. Journal of Systems Science and Complexity 36(5), 2100-2124. https://doi.org/10.1007/s11424-023-2022-2.

5.      Ai, Mingyao; Ye, Zhiqiang; Yu, Jun (2023). Locally D-optimal designs for hierarchical response experiments. Statistica Sinica 33(1), 381-399.

6.      Kong, Xiangshun; Zheng, Wei; Ai, Mingyao (2023). Representative points for distribution recovering. Journal of Statistical Planning and Inference 224, 69-83.

7.      Yu, Jun; Wang, HaiYing; Ai, Mingyao; Zhang, Huiming (2022). Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data. Journal of the American Statistical Association 117(537), 265-276. https://doi.org/10.1080/ 01621459. 2020.1773832.

8.      Jiang, Bochuan; Wang, Yaping; Ai, Mingyao (2022). Search for minimum aberration designs with uniformity. Annals of the Institute of Statistical Mathematics 74(2), 271-287. https://doi.org/10.1007/s10463-021-00796-1.

9.      Pang, Shanqi; Wang, Yaping; Ai, Mingyao (2022). Construction of orthogonal arrays without interaction columns. Acta Mathematicae Applicatae Sinica, English Series 38(1), 159-168. https://doi.org/159-168.10.1007/s10255-022-1063-y.

10.   Ai, Mingyao; Wang, Fei; Yu, Jun; Zhang, Huiming (2021). Optimal Subsampling for Large-scale Quantile Regression. Journal of Complexity 62, 101512. https://doi.org/10.1016/j.jco.2020.101512.

11.   Ai, Mingyao; Yu, Jun; Zhang, Huiming; Wang, HaiYing (2021). Optimal Subsampling Algorithms for Big Data Regressions. Statistica Sinica 31(2), 749-772.

12.   Ai, Mingyao; Huang, Yimin; Yu, Jun (2021). A Non-Parametric Solution to the Multi-Armed Bandit Problem with Covariates. Journal of Statistical Planning and Inference 211, 402-433.

13.   Li, Zhiming; Ma, Changxing; Ai, Mingyao (2020). Statistical tests under Dallal’s model: Asymptotic and exact methods. PLOS ONE 15(11), e242722. https://doi.org/2020. 10.1371/journal.pone.0242722.

14.   Li, Zhiming; Ai, Mingyao*; Sun, Shuman (2020). Parameter estimation in uncertain differential equations with exponential solutions. Journal of Intelligent & Fuzzy Systems 39(3), 3795-3804. https://doi.org/10.3233/JIFS-192119.

15.   Li, Zhiming; Kong, Qingxun; Ai, Mingyao (2020). Construction of some s-level regular designs with general minimum lower-order confounding. Statistics and Probability Letters 167, 108897. https://doi.org/10.1016/j.spl.2020.108897.

16.   Cheng, Jing; Ai, Mingyao (2020). Optimal designs for panal data linear regressions. Statistics and Probability Letters 163, 108769. https://doi.org/10.1016/j.spl.2020.108769.

17.   Ai, Mingyao; Huang, Yimin; Yu, Jun (2020). Data-based priors for Bayesian model averaging. In J. Fan and J. Pan (eds.), Contemporary Experimental Design, Multivariate Analysis and Data Mining--Festschrift in Honour of Professor Kai-Tai Fang. Springer, Switzerland. pp. 357-372.

18.   Huang, Yimin; Kong, Xiangshun; Ai, Mingyao (2020). Optimal designs in sparse linear models. Metrika 83(2), 255-273.

19.   Yu, Jun; Kong, Xiangshun; Ai, Mingyao; Tsui, Kwok Leung (2018). Optimal designs for dose-response models with linear effects of covariates. Computational Statistics and Data Analysis 127, 217-228.

20.   Kong, Xiangshun; Ai, Mingyao; Tsui, Kwok Leung (2018). Design for sequential follow-up experiments in computer emulations. Technometrics 60(1), 61-69.

21.   Kong, Xiangshun; Ai, Mingyao; Tsui, Kwok Leung (2018). Flexible sliced designs for computer experiments. Annals of the Institute of Statistical Mathematics 70(3), 631-646.

22.   Yu, Jun; Ai, Mingyao; Wang, Yaping (2018). Optimal designs for linear models with Fredholm-type errors. Journal of Statistical Planning and Inference 194, 65-74.

23.   Wang, Yaping; Ai, Mingyao (2017). Definitive Screening Designs with Extreme Numbers of Level Changes. Statistics and Probability Letters 131, 13-18.

24.   Zheng, Wei; Ai, Mingyao; Li, Kang (2017). Identification of universally optimal circular designs for the interference model. Annals of Statistics 45(4), 1462-1487.

25.   Kong, Xiangshun; Ai, Mingyao; Mukerjee, Rahul (2017). Central limit theorems for four new types of U-designs. Statistics 51(3), 655-667.

26.   Jiang, Bochuan; Ai, Mingyao (2017). Construction of uniform U-designs. Journal of Statistical Planning and Inference 181, 1-10.

27.   Ai, Mingyao; Liang, Jiajuan; Tang, Man-Lai (2016). A generalized T3 graph for testing high dimensional normality. Frontiers of Mathematics in China 11(6), 1363-1378.

28.   Wang, Yaping; Ai, Mingyao (2016). Optimal designs for multiple treatments with unequal variances. Journal of Statistical Planning and Inference 171, 175-183.

29.   Wang, Yaping; Ai, Mingyao; Li, Kang (2016). Optimality of pairwise blocked definitive screening designs. Annals of the Institute of Statistical Mathematics 68(3), 659-671.

30.   Ai, Mingyao; Kong, Xiangshun; Li, Kang (2016). A general theory for orthogonal array based Latin hypercube designs. Statistica Sinica 26 (2), 761-777.

31.   Li, Kang; Zheng, Wei; Ai, Mingyao (2015). Optimal designs for the proportional interference model. Annals of Statistics 43(4), 1596-1616.

32.   Li, Kang; Jiang, Bochuan; Ai, Mingyao (2015). Sliced space-filling designs with different levels of two-dimensional uniformity. Journal of Statistical Planning and Inference 157-158, 90-99.

33.   Qian, Z.G. Peter; Ai, Mingyao (Corr.); Hwang, Youngdeok; Su, Heng (2014). Asymmetric nested lattice samples. Technometrics 56(1), 46-54.

34.   Ai, Mingyao; Jiang Bochuan; Li, Kang (2014). Construction of sliced space-filling designs based on balanced sliced orthogonal arrays. Statistica Sinica 24(4), 1685-1702.

35.   Jiang, Bochuan; Ai, Mingyao (2014). Construction of uniform designs without replications. Journal of Complexity 30 (1), 98-110.

36.   Ai, Mingyao; Li, Kang; Liu, Senmao; Lin, Dennis (2013). Balanced incomplete Latin square designs. Journal of Statistical Planning and Inference 143 (9), 1575-1582.

37.   Ai, Mingyao; He, Yuanzhen; Liu, Senmao (2012). Some new classes of orthogonal Latin hypercube designs. Journal of Statistical Planning and Inference 142(10), 2809-2818.

38.   He, Yuanzhen; Ai, Mingyao (2012). Complementary design theory for sliced equidistance designs. Statistics and Probability Letters 82(1), 542-547.

39.   He, Yuanzhen; Ai, Mingyao (2011). A new class of Latin hypercube designs with high-dimensional hidden projective uniformity. Frontiers of Mathematics in China 6(6), 1085-1093.

40.   Qian, Z.G. Peter; Ai, Mingyao (Corr.) (2010). Nested lattice sampling: A new sampling scheme derived by randomizing nested orthogonal arrays. Journal of the American Statistical Association 105(491), 1147-1155.

41.   Ma, Chang-Xing; Ai, Mingyao; Chan, L.Y.; Goh, T.N. (2010). Three-level and mixed-level orthogonal arrays for lean designs. Quality and Reliability Engineering International 26(6), 529-539.

42.   Ai, Mingyao; Xu, Xu; Wu, C. F. Jeff (2010). Optimal blocking and foldover plans for regular two-level designs. Statistica Sinica 20(1), 183-207.

43.   Ai, Mingyao; Hickernell, Fred J. (2009). Universal optimality of net and lattice designs. Science in China, Series A-Math. 52(11), 2309-2320.

44.   Qian, Z.G. Peter; Ai, Mingyao (Corr.); Wu, C. F. Jeff (2009). Construction of nested space-filling designs. Annals of Statistics 37(6A), 3616-3643.

45.   Ai, Mingyao; Kang, Lulu; Joseph, V. Roshan (2009). Bayesian optimal blocking of factorial designs. Journal of Statistical Planning and Inference 139(9), 3319-3328.

46.   Joseph, V. Roshan; Ai, Mingyao (Corr.); Wu, C. F. Jeff (2009). Bayesian-inspired minimum aberration two- and four-level designs. Biometrika 96(1), 95-106.

47.   Ai, Mingyao; Yu, Yunlong; He, Shuyuan (2009). Optimality of circular neighbor- balanced designs for total effects with autoregressive correlated observations. Journal of Statistical Planning and Inference 139(7), 2293-2304.

48.   Ai, Mingyao; He, Yuanzhen (2008). Blocked regular mixed factorial designs with maximum estimation capacity. Statistics and Applications 6 (1 & 2), Special Issue in Honor of Prof. Aloke Dey, 91-107.

49.   Zhang, Runchu; Li, Peng; Zhao, Shengli; Ai, Mingyao (2008). A general minimum lower-order confounding criterion for two-level regular designs. Statistica Sinica 18(4), 1689-1705.

50.   Ai, Mingyao; Hickernell, Fred J.; Lin, Dennis K.J. (2008). Optimal foldover plans for regular s-level fractional factorial designs. Statistics & Probability Letters 78(7), 896-903.

51.   Ai, Mingyao; Ge, Gennian; Chan, L.Y. (2007). Circular neighbor-balanced designs universally optimal for total effects. Science in China, Series A–Math. 50 (6), 821-828.

52.   Tang, Yu; Ai, Mingyao; Ge, Gennian; Fang, Kai-Tai (2007). Optimal mixed-level super-saturated designs and a new class of combinatorial designs. Journal of Statistical Planning and Inference 137 (7), 2294-2301.

53.   Ai, Mingyao; Fang, Kai-Tai; He, Shuyuan (2007). E(χ^2)-optimal mixed-level supersaturated designs.  Journal of Statistical Planning and Inference 137 (1), 306-316.

54.   Qin, Hong; Ai, Mingyao (2007). A note on connection between uniformity and generalized minimum aberration. Statistical Papers 48 (3), 491-502.

55.   Ai, Mingyao; He, Shuyuan (2006). An efficient method for identifying clear effects in blocked fractional factorial designs. Statistics & Probability Letters 76, 1889-1894.

56.   He, Shuyuan; Ai, Mingyao; Shen, Junshan (2006). Estimate a stationary process under left censoring. Chinese Journal of Applied Probability and Statistics 22 (3), 237-244.

57.   Ai, Mingyao; He, Shuyuan (2006). Generalized wordtype pattern for nonregular factorial designs with multiple groups of factors. Metrika 64 (1), 95-108.

58.   Ai, Mingyao; Yang, Guijun; Zhang, Runchu (2006). Minimum aberration blocking of regular mixed factorial designs. Journal of Statistical Planning and Inference 136 (4), 1493-1511.

59.   Ai, Mingyao; Zhang, Runchu (2006). Minimum secondary aberration fractional factorial split-plot designs in terms of consulting designs. Science in China, Series A–Math. 49 (4), 494-512.  [Chinese version, 36 (1), 52-71]

60.   Ai, Mingyao; He, Shuyuan (2006). Interaction balance for symmetrical factorial designs with generalized minimum aberration. Statistical Papers 47 (1), 125-136.

61.   Qin, Hong; Ai, Mingyao; Ning, Jianhui (2005). Connection among some optimal criteria for symmetrical fractional factorial designs. Acta Mathematicae Applicatae Sinica (English Series) 21 (4), 545-552.

62.   Ai, Mingyao; Li, Pengfei; Zhang, Runchu (2005). Optimal criteria and equivalence for nonregular fractional factorial designs. Metrika 62 (1), 73-83.

63.   Ai, Mingyao; Zhang, Runchu (2005). Characterization of minimum aberration mixed factorials in terms of consulting designs. Statistical Papers 46 (2), 157-171.

64.   Ai, Mingyao; He, Shuyuan (2005). Theory of optimal blocking for fractional factorial split-plot designs. Science in China, Series A–Math. 48(5), 649-656. [Chinese version, 35 (3), 265-272]

65.   Ai, Mingyao; Zhang, Runchu (2004). Projection justification of generalized minimum aberration for asymmetrical fractional factorial designs. Metrika 60(3), 279-285.

66.   Ai, Mingyao; Zhang, Runchu (2004). Theory of minimum aberration blocked regular mixed factorial designs. Journal of Statistical Planning and Inference 126(1), 305-323.

67.   Ai, Mingyao; Zhang, Runchu (2004). S^{n-m} designs containing clear main effects or clear two-factor interactions. Statistics & Probability Letters 69 (2), 151-160.

68.   Ai, Mingyao; Zhang, Runchu (2004). Multistratum fractional factorial split-plot designs with minimum aberration and maximum estimation capacity. Statistics & Probability Letters 69 (2), 161-170.

69.   Ai, Mingyao; Zhang, Runchu (2004). Theory of optimal blocking of nonregular factorial designs. Canadian Journal of Statistics 32 (1), 57-72.

70.   Ai, Mingyao; Zhang, Runchu (2004). Generalized resolution and minimum aberration criterion for s-level factorial designs. Acta Sci. Nat. Uni. Nankai. 37 (1), 58-63.

71.   Ai, Mingyao; Zhang, Runchu (2003). Uniformity of block designs. Acta Sci. Nat.  Uni. Nankai. 36 (2), 89-92.

72.   Ai, Mingyao (2000). Characterization of generalized admissible estimates of multivariate random common mean (in Chinese). Henan Science 18, 225-227.

73.   Ai, Mingyao (1999). Generalized admissibility of mean matrix in generalized growth curve model (in Chinese). Henan Science 17, 17-20.

74.   Ai, Mingyao (1999). Generalized admissibility of linear estimates of mean matrix in generalized growth curve model (in Chinese). Journal of Central China Normal University (natural science edition) 33, 31-36.

75.   Ai, Mingyao; Liu, Xiaozhen (1998). Admissibility of linear estimates of random common mean and parameters (in Chinese). Journal of Henan University (natural science edition) 28 (special collection), 1-7.

76.   Ai, Mingyao; Shi, Lei (1998). Some results on admissibility of linear estimates of multivariate random regression coefficient and parameters (in Chinese). Journal of Zhengzhou University of Technology 19, 97-101.

77.   Ai, Mingyao; Liu, Jingmin (1997). Admissibility of nonhomogeneous linear estimates of multivariate random regression coefficient and parameters. Chinese Quarterly Journal of Mathematics 12, 63-70.

78.   Ai, Mingyao; Kang, Huiguang (1997). Generalized admissibility of linear estimates of common mean matrix in generalized growth curve model (in Chinese). Journal of Central China Normal University (natural science edition), special collection, 14-18.

79.   Ai, Mingyao; Qin, Hong (1997). Some results on generalized admissible estimates in multivariate random common mean linear models (in Chinese). Journal of Central China Normal University (natural science edition), special collection, 11-13.

80.   Qin, Hong; Ai, Mingyao (1994). Admissibility of nonhomogeneous linear estimates of regression coefficient in growth curve model. Journal of Central China Normal University (natural science edition), special collection, 37-40.

81.   Ai, Mingyao; Qin, Hong (1992). Admissibility of linear estimates of random regression coefficient and parameters in multivariate linear models (in Chinese). Journal of Central China Normal University (natural science edition) 26, 279-285.

 

Papers Submitted and Preprints

82.   Yu, Jun; Wang, HaiYing; Ai, Mingyao (2022). Subsampling Strategy for Model Averaging with Large Scale Datasets.

83.   Yu, Jun; Ye, Zhiqiang; Ai, Mingyao*; Ma, Ping (2022). Optimal Subsampling for Data Streams with Categorical Responses. Resubmitted on Feb 8, 2024.

84.   Ai, Mingyao; Dette, Holger; Liu, Zhengfu; Yu, Jun (2023). A Reinforced Learning Approach to Optimal Design Under Model Uncertainty.

85.   Pang, Shanqi; Lin, Xiao; Ai, Mingyao*; Chien, Peter (2024). Construction of Asymmetric Nested Orthogonal Arrays.

86.   Ai, Mingyao; Yang, Yunfan; Kong, Xiangshun (2024). Space-filling designs on Riemannian manifolds. Revision on June 12, 2024.

Activities and Honors

2019.01.21-30, 2019 Workshop on Statistical Challanges of Computer Experiments. University of Wollongong, Australia. Talk: Optimal design for sequential computer experiemnts.

2018.07.31-08.11, 2018 New advances on design and analysis of experiments. University of Manchester, United Kingdom. Talk: A new sampling scheme derived by randomizing NOAs.

2017.07.03-05, First international conference on the theoretical foundation of the data science. Beijing Institute of Technology. Invited talk (40-min): Sequential or sliced designs for computer emulations in big data.

2017.05.13-24, 2017 Spring Research Conference. Rutgers University, NJ. Technometrics Invited talk (30-min): Flexible sequential or sliced designs for computer experiments.

2016.12.14-19, Conference on Experimental Design and Analysis (CEDA) 2016. Istitute of Statistical Science, Academia Sinica, Taipei, Taiwan.

2014.11.15-21, The Kyoto International Conference on Modern Statistics in the 21th Century. Kyoto-International Conference Center in Kyoto, Japan.

2014.05.16-22, The 9th Symposium of Probability and Statistics between Strait and Main land, Taizhong, Taiwan. (Feng Chia University and Chung Tsing University)

2013.11.07-11, the Ishigaki International Conference on Modern Statistics Theories, Practices and Education in the 21st Century. ANA-Intercontinental Ishigaki Resort in Ishigaki, Okinawa, Japan.

2012.07.01-04, The 2nd IMS-Asia Pacific Rim Meeting, Tsukuba, Japan. Invited talk (30-min): Construction of orthogonal Latin hypercube designs.

2011.07.08-11, The 3rd IMS-China International Conference on Statistics and Probability, Xi’an. Invited talk (30-min): Some New Classes of Orthogonal Latin Hypercubes.

2010.12.17-22, The 8th International Chinese Statistical Conference and the International Workshop on Experimental Designs, Guangzhou Univ. Invited talk (30-min): Some New Classes of Orthogonal Latin Hypercubes.

2010.10.22-25, The 9th Conference of the Probability and Statistics of China, Nankai Univ. Invited talk (30-min): Nested Designs for Computer Experiments.

2010.07.10-12, The 4th International Conference on Statistics and Society, Renmin University of China. Invited talk (30-min): Nested Lattice Sampling.

2010.07.03-07, The 7th Symposium of Probability and Statistics between Strait and Main land, Tainan, Taiwan. Talk (20-min): Nested Designs for Computer Experiments.

2009.07.13-15, The First International Conference on the Interface Between Statistics and Engineering, Beijing Univ. of Technology. Invited talk (30-min): Bayesian Optimal Blocking of Factorial Designs.

2009.04.20-24, The 2009 Academic Congress of the Mathematical Society of China, Xiamen Univ. Invited talk (40-min): Design of Computer Experiments: Construction and Theory.

2008.08.03-07, The 2008 Joint Statistical Meeting, Denver.

2008.05.19-21, The 2008 Spring Research Conference (SRC) on Statistics in Industry and Technology, Georgia Institute of Technology.

2007.11.01-03, The 2007 conference on the design and analysis of experiments, Memphis.  Presentation: Optimal blocking and fold-over plans for regular two-level designs.

2006.10.28-31, The 8th National Probability and Statistics Conference, Xuzhou. Talk: An efficient method for identifying clear effects.

2006.07.09-13, The 2006 International Conference on DOE, Nankai U. Talk: Generalized wordtype patterns.

2005.07.09-12, The Joint Meeting of CSPS/IMS, PKU. Talk: Optimal criteria and construction for mixed level SSD’s.

2004.07.25-27, The 2004 International Conference on DOE, Tsinghua U. Talk: Consulting design theory for fractional factorial designs.

2003.11.03-06, The 2003 Symposium on Uniform Design, Shenzhen. Talk: Interaction balance in symmetrical factorial designs with GMA.

2002.09.20-25, The 7th National Probability and Statistics Conference, Changchun. Talk: Characterization of minimum aberration mixed factorials.

2002.08.20-28, International Congress of Mathematicians, Beijing.

 

Courses Taught

Applied Regression Analysis, Applied Multivariate Analysis, Design of Experiments, Survey Sampling, Mathematical Statistics, Probability and Statistics, Computational Methods.

 

Graduate Students Supervision

PhD Students

1.      He, Yuanzhen (2006.09-2011.06), PhD thesis: Uniformity and orthogonality about Latin hypercube designs. B.Sc. from Wuhan U. Affiliation: Associate Professor, School of Statistics, Beijing Normal University.

2.      Li, Kang (2010.08-2015.06), PhD thesis: Research on several latest design problems in sophisticated experiments. B.Sc. from PKU. PKU PhD President Scholarship, 2015 PKU excellent graduate and 2015 PKU excellent PhD thesis. Affiliation: Beijing Business Department of the People's Bank of China.

3.      Jiang, Bochuan (2010.08-2016.06), PhD thesis: Research on the construction of several new types of space-filling designs. B.Sc. from PKU. Affiliation: Associate Professor, College of Science, Beijing Jiaotong University.

4.      Kong, Xiangshun (2012.08-2017.06), PhD thesis: Constructions and theories for some series of space-filling designs. B.Sc. from Nankai U. Affiliation: Tenure-Track Associate Research Fellow, School of Mathematics and Statistics, Beijing Institute of Technology.

5.      Wang, Yaping (2013.08-2018.06), PhD thesis: Research on the optimality of several types of experimental designs. PKU PhD President Scholarship. B.Sc. from PKU. 2018 PKU excellent graduate and 2018 PKU excellent PhD thesis. Affiliation: Zijiang Young Scholars Research Fellow, School of Statistics, East China Normal University.

6.      Yu, Jun (2014.08-2019.06), PhD thesis: Optimal sampling and subsampling based on optimality design theory. Affiliation: Tenure-Track Associate Research Fellow, School of Mathematics and Statistics, Beijing Institute of Technology.

7.      Huang, Yimin (2014.08-2020.06), PhD thesis: Research on the issues of several new types of experimental designs. PKU PhD President Scholarship. B.Sc. from PKU. Affiliation: Huawei Beijing Research Institute.

8.      Wang, Fei (2016.08-2021.06), PhD thesis: Construction of subsampling and designs under some criteria. B.Sc. from Jilin U. 2021 PKU excellent graduate. Affiliation: Lecturer, College of Science, Minzu University of China.

9.      Ye, Zhiqiang (2017.08-2022.06), PhD thesis: Optimal designs and subsampling for categorical response experiments. B.Sc. from Nankai U. Affiliation: Lecturer, College of Science, Minzu University of China. Alibaba Corporation, Hangzhou.

10.   Yang, Yunfan (2020.08-2025.06), B.Sc. from PKU.

11.   Chi, Fangqi (2022.08-2027.06), B.Sc. from PKU.

12.   Yan, Zhengbang (2023.08-2028.06), B.Sc. from PKU.

13.   Yang, Ruozheng (2024.08-2029.06), B.Sc. from PKU.

 

Master Students

1.      Xu, Xu (2006.08-2009.06), Thesis: The research on the isomorphic properties and algorithms of mixed-level factorial designs. B.Sc. from PKU, Affiliation: a PhD student in Dept. of Stat, Univ. of Wisconsin-Madison.

2.      Li, Zuyuan (2007.08-2010.06), Thesis: Factor screening methods using penalized least squares in supersaturated designs. B.Sc. from BNU. Affiliation: Opera Solutions in Shanghai. Now in The CITIC securities company, Beijing.

3.      Liu, Senmao (2008.08-2011.06), Thesis: Construction and property of balanced incomplete Latin square designs. B.Sc. from Nankai U. Affiliation: a PhD student in Dept of Statist., Texas A&M University. Amazon USA.

4.      Zhang, Xuebin (2009.08-2012.06), Thesis: Research on simultaneous screening for both extra-group and intra-group variables in linear models. B.Sc. from PKU. Affiliation: Huarong Securities Company Limited.  

5.      Shi, Chao (2010.08-2013.06), Thesis: Multivariate time series model-based dynamic data processing system for the dangerous sources in the coal mines. B.Sc. from PKU. Affiliation: Shanghai Bank of Communications.

6.      Meng, Xiran (2018.08-2022.06), Thesis: Optimal designs for semi-parametric dose-response models with linear effects of covariates. B.Sc. from USTC. Affiliation: Guangdong experimental high school.

7.      Lu, Zhuocheng (2019.08-2022.06), Thesis: Optimal Subsampling for Large-Scale Network-Based Logistic Regression. B.Sc. from RUC. Affiliation: The Affiliated High School of Peking University.  

8.      Han, Wenzhe (2021.08-2025.06), B.Sc. from USTC.

Master Students in Applied Statistics

1.      Li, Cong (2012.08-2014.06), Thesis: Statistical quantitative research on Chinese stock assessment. B.Sc. from PKU. Affiliation: China Construction Bank.

2.      Shi, Xun (2012.08-2014.06), Thesis: Prediction of stock price and earnings change with financial statement analysis. B.Sc. from South-East U. Affiliation: Huarong Finance Leasehold Company Limited in Hangzhou.

3.      Diao, Yu (2013.08-2015.06), Thesis: Stock Price Time Series Prediction Based on Hidden Markov Model. Affiliation: ICBC Credit Suisse Asset Management Co., Ltd (Beijing).

4.      Luo, Na (2013.08-2015.06), Thesis: Cluster and Regression Analysis of the Air Quality Assessment in Chinese Main Cities. Affiliation: Bureau of Statistics of Zengcheng District, Guangzhou.

5.      Song, Kai (201308-2015.06), Thesis: Statistical Tests on Week Form Efficiency of China A Stock Market. Affiliation: Heilongjiang Investment (Group) Company Limited, Haerbin.

6.      Li, Hui (2014.08-2016.06), Thesis: The analysis about the correlation between Shanghai and Shenzhen stock markets based on co-integration and GARCH-type models. Affiliation: The Export-Import Bank of China.

7.      Qu, Jiaxi (2014.08-2016.06), Thesis: Research on individual equity arbitrage between China A and B share market based on Threshold co-integration theory. Affiliation: Industrial and Commercial Bank of China.

8.      Zhang, Boyi (2014.08-2016.12), Thesis: The population growth model with economy factors.

9.      Cao, Rui (2015.08-2017.06), Thesis: A Study on the price comovement of agricultural products futures and the related listed companies’ stocks. Affiliation: Huashang Fund Management Co., Ltd.

10.   Yang, Yu (2015.08-2017.06), Thesis: A study on the bonds risk based on mathmatical models. Affiliation: China Construction Bank.

11.   Tang, Lan (2015.08-2017.06), Thesis: Poisson process and its applications in stochastic dynamical systems of chemical reactions.. Affiliation: Xuejun middle school in Hangzhou.

12.   Hu, Xinning (2015.08-2017.06), Thesis: A study on the forecast of the stock prices time series based on pattern recognition theories. Affiliation: Black Wing Asset Management Co., Ltd.

13.   Ma, Jing (2016.08-2018.06), Thesis: Construction and application of the long-term credit rating defauld models of enterprises. Affiliation: Institute of Statistical Science, National Bureau of Statistics of China.

14.   Shen, Mengrui (2016.08-2018.06), 2018 PKU excellent graduate. Thesis: Term structure of interest rate and its interactions with macroeconomy. Affiliation: Investment Banking Division at Beijing, Central China Securities Co., Ltd.

15.   Lin, Jiesheng (2016.08-2018.06), Thesis: Concave regularization applied in sparse Gaussian Bayesian network. Affiliation: Taiwan.

16.   Dai, Mingzhuo (2016.08-2018.12), Thesis: Empirical Research on Pair-trading Based on Neural Networks in Chinese Futures Markets.

17.   Wang, Wencheng (2017.08-2019.06), Thesis: Research on credit risk of daily consumer listed companies based on logistic model and Fisher discriminant. Affiliation: Dongguan Trust Company, Ltd.

18.   Wang, Ning (2017.08-2019.06), Thesis: Temporal action detection in game vedios via temporal segment networks. Affiliation: Computing engineer, Jingdong Mall, Beijing.

19.   Yang, Yifan (2017.08-2019.06), Thesis: Applications of Wishart distribution in combinatorial optimization. Affiliation: The CITIC securities company, Beijing.

20.   Cai, Shaogang (2017.08-2019.06), Thesis: Transaction predict based on machine learning algorithms. Affiliation: Amazon China.

21.   He, Peizong (2017.08-2019.06), Thesis: Prediction of basketball game results based on EWMA. Affiliation: Taiwan.

22.   Xu, Renjie (2018.08-2020.06), Thesis: Empirical Research on Machine Learning Algorithm in Housing Rent.

23.   Xu, Yuanjiao (2018.08-2020.06), Thesis: Automatic recommendation of shopping reviews based on machine learning.

24.   Zhang, Xuezhi (2018.08-2020.06), Thesis: Bayesian inference for the tail index of GARCH model and its empirical research.

25.   Zheng, Yuefang (2018.08-2020.06), Thesis: The threshold value of infectious diseases on the dynamic network with neighbor exchange mechanism.

26.   Zhao, Jieyu (2018.08-2020.06), Thesis: Prediction of Housing Price in Beijing Based on Machine Learning.

27.   Song, Zhi (2019.08-2021.06), Thesis: Machine Learning in Psychology. Affiliation: Beijing Kwai Shou Science & Technology Company, Ltd.

28.   Zhang, Da (2019.08-2021.06), Thesis: Research on the prediction model of IPO pass rate under the registration-based IPO system.

29.   Zhu, Qin (2019.08-2021.06), Thesis: Multivariate Time Series Multi-Horizon Forecasting Based on Machine Learning. Affiliation: Beijing San Kuai Science & Technology Company, Ltd. (Mei Tuan)

30.   Liu, Xin (2019.08-2021.06), Thesis: Semantic Text Similarity Calculation Based on Pre-trained Language Model. Beijing.

 

Visiting Professors & Postdoctors

1.      Cheng, Jing (2018.09-2019.06), Associate Professor, Anhui Agricultural University, Hefei.

2.      Gao, Dacheng (2021.09-2022.06), Professor, Shijiazhuang Preschool Teachers College, Shijiazhuang.

3.      Wang, Dongying (2022.09-2023.06), Associate Professor, JiLin University of Finance and Economics.

4.      Pan, Han (2022.09-2024.08), Postdoctor, PhD from University of International Business and Economics.