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About BDAL-RUC

Hi! I’m Cheng Meng, a tenure-track Assistant Professor and Ph.D. advisor at the School of Statistics and Data Science, Renmin University of China (RUC). My research centers on big data statistics, optimal transport, artificial intelligence, and industrial statistics, with a particular interest in developing statistically principled methods for complex computational and modeling problems arising in real applications.

I received my B.S. in Mathematics from Tsinghua University and my Ph.D. in Statistics from the University of Georgia. During my doctoral study, I was fortunate to be advised by Prof. Ping Ma and Prof. Wenxuan Zhong, who co-direct the Big Data Analytics Lab (BDAL) at UGA. After joining RUC, I have had the pleasure of building BDAL-RUC with a group of talented, sincere, and highly motivated students. Group members have received major honors including the Wu Yuzhang Scholarship (RUC’s highest student honor), JSM Student Paper Awards, and National Graduate Scholarships.

Our work starts from statistical theory and stays closely connected to real-world applications. In recent years, the group has worked on scalable algorithms for large-scale data analysis, fast methods for optimal transport, industrial data modeling, and AI-related statistical methods, with active collaborations including projects with Huawei. I received the 2023 Junior Researcher Award from the Pan-Asian Committee for Statistical Research, and our team has won the Huawei Spark Award three times for solving major industrial challenges. Our goal is to develop statistical and machine learning methods that are reliable, efficient, and genuinely useful in industrial and interdisciplinary scientific problems.

Latest News

2026-06Papers

Two BDAL-RUC papers are heading to STAI-X. Congratulations to Jun Zhu et al. for "SSP-Ensemble: A Sufficient Subspace Projection Ensemble for Multiclass Classification" and Peize Wang et al. for "KPOTD: Kernel Principal Optimal Transport Directions for Nonlinear Sufficient Dimension Reduction," both accepted by the inaugural STAI-X conference.

2026-06Projects

A new Mingli College project begins. Junlie Huang's project "Research on High-Precision Fault Early-Warning Algorithms Based on Statistics" has been approved as a Renmin University of China Mingli College "Qiushi Graduate Education Research" project. Read more →

2026-06Projects

Four student projects won institute-level support. Projects by Tao Wang, Junlie Huang, Dunyao Xue, and Chengshuo Du were approved as 2026 Graduate Student Scientific Research Fund Projects of the Institute of Statistics and Big Data, among 8 awardees institute-wide.

2026-05Papers

Another JCGS paper joins the group's publication list. Congratulations to Junyi Lin et al. on "Sparsification Subsampling for Partial Least Squares Regression" being accepted by JCGS. Read more →

2026-05Papers

An improved MoE method was accepted by ICML 2026. Congratulations to Xinlai Kang, Dunyao Xue, Zhengbo Wang, Chengshuo Du et al. on "Breaking the Echo Chamber: A Dynamic Ensemble Pruning Perspective on MoE," also featured by the well-known machine learning public account "Machine Heart" (Ji Qi Zhi Xin). Read more →