Curriculum Vitae  

I received my bachelor's degree in the Department of Mathematics, Tsinghua University, in 2015. I graduated from the Department of Statistics, the University of Georgia in 2020. My major advisors are Professor Ping Ma and Professor Wenxuan Zhong. My current research interest lies in (1) data reduction problems in big data, including both subsampling and dimension reduction; (2) computational optimal transport methods with theoretical guarantees; (3) smoothing splines; (4) medical imaging analysis and 3d point cloud analysis; and (5) the connection between traditional statistical tools and deep learning. Homepage:https://scholar.google.com/citations?user=2WsrETAAAAAJ&hl=en 

Publications:

1. Jingyi Zhang, Ping Ma, Wenxuan Zhong, Cheng Meng, Projection‐based techniques for high‐dimensional optimal transport problems, Wiley Interdisciplinary Reviews: Computational Statistics, 2022

2. Jingyi Zhang, Cheng Meng, Jun Yu, Mengrui Zhang, Wenxuan Zhong, Ping Ma, An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation, Journal of Computational and Graphical Statistics（JCGS）, 2022

3.Cheng Meng, Jun Yu, Yongkai Chen, Wenxuan Zhong, Ping Ma. "Smoothing splines approximation using Hilbert curve basis selection", Journal of Computational and Graphical Statistics（JCGS）, 2021.

4.Shangpeng Sun, Changying Li, Peng W Chee, Andrew H Paterson, Cheng Meng, Jingyi Zhang, Ping Ma, Jon S Robertson, Jeevan Adhikari. "High resolution 3D terrestrial LiDAR for cotton plant main stalk and node detection"Computers and Electronics in Agriculture, 2021.

5. Cheng Meng, Rui Xie, Abhyuday Mandal, Xinlian Zhang, Wenxuan Zhong, and Ping Ma.LowCon: A design-based subsampling approach in a misspecifified linear model. Journal of Computational and Graphical Statistics（JCGS）, 2020.

6.Tao Li, Cheng Meng. "Modern Subsampling Methods for Large-Scale Least Squares Regression." International Journal of Cyber-Physical Systems (IJCPS), 2020.

7. Cheng Meng, Jun Yu, Jingyi Zhang, Ping Ma, and Wenxuan Zhong. "Sufficient dimension reduction for classification using principle optimal transport direction." NeurIPS, 2020.

8. Cheng Meng, Xinlian Zhang, Jingyi Zhang, Wenxuan Zhong, and Ping Ma. "More efficient approximation of smoothing splines via space-filling basis selection." Biometrika, 2020.

9. Cheng Meng, Yuan Ke, Jingyi Zhang, Mengrui Zhang, Wenxuan Zhong, and Ping Ma. "Large-scale optimal transport map estimation using projection pursuit." NeurIPS, 2019.

10. Shangpeng Sun, Changying Li, Andrew Paterson, Jeevan Adhikari, Jon Robertson, and Cheng Meng. "Automated plant node detection using terrestrial LiDAR data under field conditions." In 2019 ASABE Annual International Meeting, p. 1. American Society of Agricultural and Biological Engineers, 2019.

11. Cheng Meng, Ye Wang, Xinlian Zhang, Abhyuday Mandal, Wenxuan Zhong, and Ping Ma. "Effective statistical methods for big data analytics." In Handbook of Research on Applied Cybernetics and Systems Science, pp. 280-299. IGI Global, 2017.