Please feel free to visit my personal webpage: https://jingzzeng.github.io/

Education

2017/08 - 2022/05: Ph.D. in Statistics, Florida State University.

2013/08 - 2017/06: B.S. in Mathematics and Applied Mathematics, University of Science and Technology of China.

Working Experience

2022/07 - present: Non-tenured Associate Professor, School of Management, University of Science and Technology of China.

Research Interests

• Dimension reduction.

• High-dimensional statistics.

• Robust statistics.

• Tensor data analysis.

Publications

("*" indicates alphabetical authorship.)

1. Zeng, J., Mai, Q., and Zhang, X. (2024). Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction. Journal of the American Statistical Association, 119(545), 343-355.

2. *Li, L., Zeng, J., and Zhang, X. (2023). Generalized Liquid Association Analysis for Multimodal Data Integration. Journal of the American Statistical Association, 118(543), 1984-1996.

3. Zeng, J., Zhang, X., and Mai, Q. (2023). An Efficient Convex Formulation for Reduced-Rank Linear Discriminant Analysis in High Dimensions. Statistica Sinica, 33:1249-1270.

4. Zeng, J., Wang, W., and Zhang, X. (2021). TRES: An R Package for Tensor Regression and Envelope Algorithms. Journal of Statistical Software, 99, 1-31.

Invited Chapter

1. Zeng, J., Zhang, X. (2024). Tensor and Multimodal Data Analysis. In: Gaw, N., Pardalos, P.M., Gahrooei, M.R. (eds) Multimodal and Tensor Data Analytics for Industrial Systems Improvement. Springer Optimization and Its Applications, vol 211. Springer, Cham.