Dr. Yuan joins UTEP from North Dakota State University (NDSU), where he was promoted to associate professor in the Department of Statistics in 2024. His research interests include social network analysis, statistical inferences, applied probability, data science, and machine learning. His research has been published in prestigious journals such as The Annals of Statistics, Bernoulli, Statistica Sinica, and Statistics and Computing.

• Ph D in Mathematics, Purdue University (2018)

• Community detection in censored hypergraph, Statistica Sinica, 34 (2024), Mingao Yuan, Bin Zhao, Xiaofeng Zhao.
• Sharp detection boundaries on testing dense subhypergraph, Bernoulli , 28 4 (2022), Mingao Yuan, Zuofeng Shang.
• Testing Community Structures for Hypergraphs, Annals of Statistics, 50 1 (2022), Mingao Yuan, Ruiqi Liu, Yang Feng, Zuofeng Shang.
• Approximate and exact designs for total effects, Annals of Statistics, 49 3 (2021), Xiangshun Kong, Mingao Yuan, Wei Zheng.

• Statistical inference for community structure in weighted networks (2024), Volume Texas Tech University, Mingao Yuan.

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