Personal profile
Personal profile
Wang Jinjuan Job Title: Pre-appointed Assistant Researcher E-mail: wangjinjuan@bit.edu.cn
Still and moving
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Still and moving
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Research Interests
Mathematical statistics, biostatistics, High dimensional data analysis, Association Analysis, microbiome Data Analysis
Education
2015.09--2020.07, Institute of Mathematics and Systems Science, Chinese Academy of Sciences, Doctor of Statistics, Supervisor: Yu Dan, Li Qizhai
2011.09--2015.07, Peking University, Bachelor of Science
2011.09--2015.07, Peking University, Bachelor of Science
Professional Experience
07/2022.till now, Assistant Professor, School of Mathematics and Statistics, Beijing Institute of Technology
2020.07--2022.06, School of Mathematics and Statistics, Beijing Institute of Technology, Postdoctoral Fellow, Supervisor: Professor Yubin Tian
2020.07--2022.06, School of Mathematics and Statistics, Beijing Institute of Technology, Postdoctoral Fellow, Supervisor: Professor Yubin Tian
Research Achievement
* indicates corresponding author
1. Wang J., Li N., Meng Z., Li Q. (2023) Change point detection for high dimensional data via kernel measure with application to human aging brain data. Statistics in Medicine, accepted.
2. Jiang Z., Guo H., Wang J*. (2023) Feature screening for multiple responses. Journal of Multivariate Analysis, 105223.
3. Wang J., Long M., Li Q. (2023) A maximum kernel-based association test to detect the pleiotropic genetic effects on multiple phenotypes. Bioinformatics, 39(5), btad291.
4. Jiang, Z., Guo, H.,Wang, J*. (2023). Screening properties of trend tests in genetic association studies. Scientific Reports, 13(1), 9139.
5. Wang J., Jiang Z., Guo H., Li Z.. (2022) Divided-and-combined omnibus test for genetic association analysis with high-dimensional data. Statistical Methods in Medical Research, 32 (3): 626-637.
6. Wang J., Zhao Y., Tang L., Mueller C., Li Q. (2022) A resample-replace Lasso procedure for combining high-dimensional markers with limit of detection. Journal of Applied Statistics, 49(16), 4278-4293.
7. Li Z., Wang B., Luo W., Xu Y., Wang J., Xue Z., Niu Y., Cheng Z., Ge S., Zhang W., Zhang J., Li Q., Chong K. (2022) Natural variation of codon repeats in COLD11 endows rice with chilling resilience. Science Advances 9, eabq5506.
8. Wang J., Jiang Z., Liu H., Meng Z.. (2021) Association testing for high-dimensional multiple response regression. Journal of Systems Science & Complexity, accepted.
9. Wang Z., Wang J., Li Q. (2021) Quadratic and Cauchy statistics. Journal of Applied Statistics and Management, 40(3): 405-416.
10. Wang J., Li J., Xiong W., Li Q. (2020) Group analysis of distance matrices. Genetic Epidemiology, 44: 620-628.
11. Xue Y., Ding J., Wang J., Zhang S., Pan D. (2020) Two-phase SSU and SKAT in genetic association studies. Journal of Genetics, 99(1): 1-10.
12. Wang J., Ding J., Huang S., Li Q., Pan D. (2019) A powerful method to test associations between ordinal traits and genotypes. G3-Genes, Genomes, Genetics, 9(8): 2573-2579.
13. Xue Y., Wang J., Ding J., Zhang S., Li Q. (2019) A powerful test for ordinal trait genetic association analysis. Statistical Applications in Genetics and Molecular Biology, 18(2): 20170066.
1. Wang J., Li N., Meng Z., Li Q. (2023) Change point detection for high dimensional data via kernel measure with application to human aging brain data. Statistics in Medicine, accepted.
2. Jiang Z., Guo H., Wang J*. (2023) Feature screening for multiple responses. Journal of Multivariate Analysis, 105223.
3. Wang J., Long M., Li Q. (2023) A maximum kernel-based association test to detect the pleiotropic genetic effects on multiple phenotypes. Bioinformatics, 39(5), btad291.
4. Jiang, Z., Guo, H.,Wang, J*. (2023). Screening properties of trend tests in genetic association studies. Scientific Reports, 13(1), 9139.
5. Wang J., Jiang Z., Guo H., Li Z.. (2022) Divided-and-combined omnibus test for genetic association analysis with high-dimensional data. Statistical Methods in Medical Research, 32 (3): 626-637.
6. Wang J., Zhao Y., Tang L., Mueller C., Li Q. (2022) A resample-replace Lasso procedure for combining high-dimensional markers with limit of detection. Journal of Applied Statistics, 49(16), 4278-4293.
7. Li Z., Wang B., Luo W., Xu Y., Wang J., Xue Z., Niu Y., Cheng Z., Ge S., Zhang W., Zhang J., Li Q., Chong K. (2022) Natural variation of codon repeats in COLD11 endows rice with chilling resilience. Science Advances 9, eabq5506.
8. Wang J., Jiang Z., Liu H., Meng Z.. (2021) Association testing for high-dimensional multiple response regression. Journal of Systems Science & Complexity, accepted.
9. Wang Z., Wang J., Li Q. (2021) Quadratic and Cauchy statistics. Journal of Applied Statistics and Management, 40(3): 405-416.
10. Wang J., Li J., Xiong W., Li Q. (2020) Group analysis of distance matrices. Genetic Epidemiology, 44: 620-628.
11. Xue Y., Ding J., Wang J., Zhang S., Pan D. (2020) Two-phase SSU and SKAT in genetic association studies. Journal of Genetics, 99(1): 1-10.
12. Wang J., Ding J., Huang S., Li Q., Pan D. (2019) A powerful method to test associations between ordinal traits and genotypes. G3-Genes, Genomes, Genetics, 9(8): 2573-2579.
13. Xue Y., Wang J., Ding J., Zhang S., Li Q. (2019) A powerful test for ordinal trait genetic association analysis. Statistical Applications in Genetics and Molecular Biology, 18(2): 20170066.
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A Graph-Based Framework for Nonparametric Tests of Multivariate Independence
Li, Y., Tian, Y. & Wang, J., 2026, (Accepted/In press) In: Journal of Computational and Graphical Statistics.Research output: Contribution to journal › Article › peer-review
Open Access -
A Nonparametric Test of Multivariate Independence Using Graphs
Li, Y., Tian, Y. & Wang, J., Mar 2026, In: Stat. 15, 1, e70146.Research output: Contribution to journal › Article › peer-review
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A debiasing phylogenetic tree-assisted regression model for microbiome data
Li, Y., Zhao, L. & Wang, J., May 2025, In: Computational Statistics and Data Analysis. 205, 108111.Research output: Contribution to journal › Article › peer-review
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Strategic A/B testing via Maximum Probability-driven Two-armed Bandit
Zhang, Y., Zhao, S., Wan, B., Wang, J. & Yan, X., 2025, In: Proceedings of Machine Learning Research. 267, p. 77069-77089 21 p.Research output: Contribution to journal › Conference article › peer-review
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The sequence kernel association test for the proportional odds model
Yan, J., Zhang, X., Wang, S., Wang, J. & Li, Q., 1 Jun 2025, In: Bioinformatics. 41, 6, btaf304.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (Scopus)