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About BDAL-RUC

Hi! I’m Cheng Meng, a tenured Associate Professor, Research 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. I am particularly interested in statistically principled methods for complex computational and modeling problems 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 been building BDAL-RUC together 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 is grounded in statistical theory and 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 reliable, efficient, and practically useful statistical and machine learning methods for industrial and interdisciplinary scientific problems.

Latest News

2026-10Awards

Ten students received first-class graduate academic scholarships. Congratulations to Jun Zhu, Tao Wang, Chengshuo Du, Xiaxue Ouyang, Junyi Lin, Dunyao Xue, Yuzheng Dong, Zhipeng Xiang, Wenhao Jiang, and Yufan Huang for receiving the First-Class Graduate Academic Scholarship from the Institute of Statistics and Big Data (awarded to the top 30% of each cohort)!

2026-10Awards

Xiaxue Ouyang and Peize Wang received CSIAM Student Forum Outstanding Poster Awards. Congratulations to both students on winning awards at the 10th Student Forum of the China Society for Industrial and Applied Mathematics! The forum selected 13 outstanding posters from presentations by 135 students. Jingyan Bai was also selected to participate and presented a poster. Read more →

2026-09Projects

Virtual-cell research wins Young Scientists Fund (Category C) support. Congratulations to Mengyu Li on receiving funding from the National Natural Science Foundation of China’s Young Scientists Fund (Category C) for “Sequential Sampling and Conditional Generation via Optimal Transport for Virtual Cells.”

2026-08Papers

Our work on LLM decoding through ensemble pruning was accepted to the EMNLP 2026 Main Conference. Congratulations to Dunyao Xue, Chengshuo Du, Zhengbo Wang et al. on the acceptance of "Beyond Truncation: Rethinking LLM Decoding as Ensemble Pruning" to the EMNLP 2026 Main Conference. Among 17,669 submissions, 2,719 were accepted to the main conference, for an acceptance rate of 15.4%. The work was also featured by the well-known AI media outlet Synced. Read more →

2026-07Team

Another Zijin Summit session featured Jun Zhu and Peize Wang. Jun Zhu and Peize Wang joined the "Zijin Summit" Young Scholars Paper Sharing Seminar and presented two statistical methodology talks on targeted projection and data-quality limits; two talk recordings are now available. Read more →