特别副研究员

当前位置: 虞俊

虞俊

个人简介


Personal Information

Name:  Jun Yu ( 虞 俊 )

Email:  yujunbeta@bit.edu.cn   

Institute:  School of Mathematics and Statistics, BIT, 102400, China

Office: 314 Wen'er Building

Address: No.5 Zhongguancun South Street, Haidian District, Beijing, China


Educational Background

Ph.D.| 2014.09—2019.07 | Peking Universtiy

Major:  Statistics

Supervisor:  Prof. Mingyao Ai

Dissertation: Design of Medical Experiments and Subsampling Techniques for Big Data

B.S. & B.E. | 2010.09— 2014.07 | NanKai Universtiy

First major:  Mathematics and Applied Mathematics

Second major: Finance


Working Experience

 09/2019--Present, Assistant Professor, School of Mathematics and Statistics, Beijing Institute of Technology


Research interest

Design of Experiments;  Sampling Theory;  Experiments with Applications; Big data analysis


Publications

Refereed Journal Paper

[10]Ai, Mingyao, Zhiqiang Ye, Jun Yu. “Locally D-optimal designs for hierarchical response experiments.” Statistica Sinica, (2021), accepted

[9] Ai, Mingyao, Jun Yu, Huiming Zhang, and HaiYing Wang. " Optimal Subsampling Algorithms for Big Data Regressions." Statistica Sinica 31 (2021): 749-772.

[8] Ai, Mingyao, Fei Wang, Jun Yu, and Huiming Zhang. "Optimal subsampling for large-scale quantile regression." Journal of Complexity 62 (2021): 101512.

[7] Ai, Mingyao, Yimin Huang, and Jun Yu. "A non-parametric solution to the multi-armed bandit problem with covariates." Journal of Statistical Planning and Inference 211 (2021): 402-413.

[6] Wang, Sili, Shengjie Min, Jun Yu, Huimin Cheng, Zion Tse, WenZhan Song. “Contact-Less Home Activity Tracking System with Floor Seismic Sensor Network” IEEE 7th World Forum on Internet of Things, (2021). (Conference paper)

[5] Yu, Jun, HaiYing Wang, Mingyao Ai, and Huiming Zhang. "Optimal distributed subsampling for maximum quasi-likelihood estimators with massive data." Journal of the American Statistical Association (2020): accepted.

[4] Meng, Cheng, Jun Yu, Jingyi Zhang, Ping Ma, and Wenxuan Zhong. "Sufficient dimension reduction for classification using principal optimal transport direction." Advances in Neural Information Processing Systems 33 (2020). (Conference paper)

[3] Ai, Mingyao, Yimin Huang, and Jun Yu. "Data-Based Priors for Bayesian Model Averaging." In Contemporary Experimental Design, Multivariate Analysis and Data Mining, pp. 357-372. Springer, Cham, 2020.

[2] Yu, Jun, Xiangshun Kong, Mingyao Ai, and Kwok Leung Tsui. "Optimal designs for dose–response models with linear effects of covariates." Computational Statistics & Data Analysis 127 (2018): 217-228.

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


Working Papers

[2] Meng, Cheng, Jun Yu, Yongkai Chen, Wenxuan Zhong, and Ping Ma. Smoothing splines approximation using Hilbert curve basis selection.

[1] Yu, Jun, Haiying Wang. Subdata selection algorithm for linear model discrimination



Visiting Positions

► 12/2019--12/2020, Visiting Scholar, Department of Statistics,University of Georgia, Athens, GA, USA. Co-mentor: Prof. Ping Ma and Prof. Wenxuan Zhong


Research Projects

01/2021--12/2023, A study on optimal design and optimal subsamping method, Supported by National Natural Science Foundation of China (Grant No. 12001042), Principal Investigator


Awards, Honors and Recognitions

2019.06 Excellent Poster Award at Peking-Tsinghua Joint Statistics Colloquium

2019.06 Zhong Jiaqing Outstanding Paper Award at the 23rd Beijing-Tianjin-Hebei Youth Probability Statistics Academic Conference

2018.11 Third National Forum for Ph.D. Students in Statistics Excellent Paper Award (1st class)