Education

2017.09–2022.06，Ph.D. in Statistics, Tsinghua University，Degree: Doctor of Science

2013.09–2017.07，B.S. in Statistics, Beijing Normal University，Degree: Bachelor of Science

 

Work Experience

2022.09–Present，Lecturer, School of Statistics, Renmin University of China

2022.08–2024.08，Faculty Postdoc, School of Statistics, Renmin University of China

 

Research Interests

Methodology: inference for time series and functional data; econometrics and causal inference.

Applications: statistics in economics, neuroscience, oceanography, and environmental geography.

 

Honors and Awards

1. Outstanding Doctoral Dissertation Award, Tsinghua University, 2022;

2. Outstanding Graduate Award, 6th PKU-Tsinghua Statistics Forum, 2022；

3. Qihang Award Bronze Medal (Graduate Employment Excellence), Tsinghua University, 2022；

4. First Prize, ISI Jan Tinbergen Award (First Awardee), International Statistical Institute，2021；

5. IMS Hannan Graduate Student Travel Award, Institute of Mathematical Statistics, 2020

 

Funding

1. “Statistical inference for treatment effect in Functional Data”, National Natural Science Foundation China, NSFC12301366, P.I., 2024–2026

2. “Several topics on testing of functional covariates”, China Postdoctoral Science Foundation, 2023M733852, P.I., 2023–2024

3. “Statistical analysis of imaging data on complicated domains”, The Start-up Fund for New Teachers of RUC, P.I., 2023–2024

 

Publications

( * indicates corresponding author)

1. Feng, Y., Li, J.* and Song, X. (2025) Testing linearity in semi-functional partially linear regression models. TEST 34, 786–814.

2. Feng, Y., Li, J.*, Lu, H. and Song, X. (2025) Testing mean independence with functional covariate. Statistics and Computing 35, 172.

3. Hu, Q. and Li, J.* (2025) Simultaneous inference for covariance function of next-generation functional data. Electronic Journal of Statistics 19(2), 3188–3232.

4. Feng, Y., Li, J.* and Song, X. (2024) Testing conditional quantile independence with functional covariate. Biometrics 80(2), ujae036.

5. Hu, Q. and Li, J.* (2024) Statistical inference for mean function of longitudinal imaging data over complicated domains. Statistica Sinica 34(2), 955-982.

6. Li, J. and Yang, L. (2023) Statistical inference for functional time series. Statistica Sinica 33(1), 519-549.

7. Li, J., Wang, J. and Yang, L. (2022) Kolmogorov-Smirnov simultaneous confidence bands for time series distribution function. Computational Statistics 37(3), 1015-1039.

8. Li, J., Hu, Q. and Zhang, F. (2022) Multi-step-ahead prediction interval for locally stationary time series with application to air pollutants concentration data. Stat 11(1), e411.

 

Patents

1. Method and System for Constructing Simultaneous Confidence Surfaces of Spatial Regions. CN113934980B, National Intellectual Property Administration, PRC (Assignees: Tsinghua University) Issued: 17 September 2024

 

Books

1. Li, J. (2023). Statistical Inference Theory and Forecasting Methods for Complex Time Series. Tsinghua University Press. (Published December 2023)

 

Teaching

1. Undergraduate: Nonparametric Statistics、Selected Topics in Mathematical Statistics、Statistics

2. Graduate: Longitudinal Data Analysis、Core Literature Seminar

 

Invited Talks

1. Time-Varying Treatment Effects for Functional Data with Latent Confounding: An Application to the Study of Women’s Health Across the Nation, The 8th International Conference on Econometrics and Statistics, 2025年8月, 日本东京

2. Statistical inference for functional time series, 2024 ICSA China Conference, 2024年6月, 武汉

3. Statistical inference for mean function of longitudinal imaging data over complicated domains, 南京审计大学, 2024年4月, 南京

4. Testing conditional quantile independence with functional covariate, 北京师范大学珠海校区, 2023年12月, 珠海

5. Time-varying treatment effects of functional data with latent confounders: application to sleep heart health studies, The 6th International Conference on Econometrics and Statistics, 2023年8月, 日本东京

6. Time-varying treatment effects of functional data with latent confounders: application to sleep heart health studies, 2023 ICSA International Conference, 2023年7月, 香港

7. Prediction interval of air pollutants concentration by nonparametric regression analysis, The 63rd ISI World Statistics Congress, 2021年7月, 线上

8. Statistical inference for mean function of longitudinal imaging data over complicated domains, The 8th China Statistics Annual Conference, 2021年4月, 成都

9. Statistical inference for mean function of longitudinal imaging data over complicated domains, The 2020 Symposium on Modern Statistics at Xiamen University, 2020年12月, 厦门

10. Kolmogorov-Smirnov simultaneous confidence bands for time series distribution function, Joint Statistical Meetings, 2019年8月, 美国丹佛

11. Kolmogorov-Smirnov simultaneous confidence bands for time series distribution function, The 3rd International Conference on Econometrics and Statistics, 2019年6月, 台中