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Department & Faculty

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Wu Wang

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Administrative Title:

Room 1005, Mingde Main Building

Professional Title:

Associate Professor, Young Talent Program

Office:

Education

September 2012-June 2017, Ph.D., Probability Theory and Mathematical Statistics, Fudan University

September 2008-June 2011, Master of Science, Probability Theory and Mathematical Statistics, Fudan University

September 2004-July 2008, Bachelor of Science, Statistics, East China Normal University

Working Experience

August 2024-Present, Associate Professor, School of Statistics, Renmin University of China

November 2020-August 2024, Assistant Professor, School of Statistics, Renmin University of China

September 2017-September 2020, Postdoctoral Fellow, King Abdullah University of Science and Technology, Saudi Arabia

Research interests

Spatial statistics, functional data analysis, high-dimensional data statistics, quantile regression, machine learning and its applications

Publication

1. Wang, W. and Zhu, Z. (2024), "Homogeneity and sparsity analysis for high dimensional panel data models." Journal of Business & Economic Statistics, 42(1), 26-35.

2. Wang, W., Sun, Y. and Wang, H. (2023), "Latent group detection in partial linear functional regression models." Biometrics (79), 280-291.

3. Wang, W. and Zhu, Z. (2022), "Group structure detection for high-dimensional panel data model." Canadian Journal of Statistics (50), 852-866.

4. Wang, W., Harrou, F., Bouyeddou, B., Senouci, S.M. and Sun, Y. (2022). Cyber-attacks detection in industrial systems using artificial intelligence-driven methods. International Journal of Critical Infrastructure Protection (38), 100542.

5. Wang, W., Harrou, F., Bouyeddou, B., Senouci, S.M. and Sun, Y. (2022). A stacked deep learning approach to cyber-attacks detection in industrial systems: application to power system and gas pipeline systems. Cluster Computing (25), 1-18.

6. Wang, W., He, X. and Zhu, Z. (2020), "Statistical inference for multiple change-point models." Scandinavian Journal of Statistics (47), 1149-1170.

7. Wang, W., Lee, J., Harrou, F. and Sun, Y. (2020), "Early Detection of Parkinson’s Disease Using Deep Learning and Machine Learning. " IEEE Access(8), 147635-147646.

8. Lee, J., Wang, W., Harrou, F. and Sun, Y. (2020), "Reliable solar irradiance prediction using ensemble learning-based models: A comparative study." Energy Conversion and Management(208), 112582. (2018 Impact factor: 7.18)

9. Lee, J., Wang, W., Harrou, F. and Sun, Y. (2020), "Wind Power Prediction Using Ensemble Learning-Based Models. " IEEE Access(8), 61517-61527.

10. Wang, W. and Sun, Y. (2019), "Penalized local polynomial regression for spatial data." Biometrics 75(4), 1179-1190.

11. Wang, W. and Zhu, Z. (2017), "Variable selection for the partial linear single-index model." Acta Mathematicae Applicatae Sinica, English Series 33(2), 373-388.

12. Wang, W. and Zhu, Z. (2017), "Conditional empirical likelihood for quantile regression models." Metrika 80(1), 1-16.

Teaching

Undergraduate Courses: Multivariate Statistical Analysis

Graduate Courses: Advanced Multivariate Statistical Analysis, Spatial Statistics