Yubai Yuan is an Assistant Professor of Statistics at Penn State.
Yuan received his PhD in Statistics from UIUC in 2020. He received his MS in Statistics from Sun Yat-sen University in 2016, and a BS in Mathematics from Shandong University in 2012.
His research focuses on complex network analysis, causal inference, and optimal transport with their application to neuron dynamics study. His other research interests are community detection, link prediction, mediation analysis, active learning, crowdsourcing.
Honors and Awards
2019 ASA Statistical Learning and Data Science section student paper award
2021 Student paper award for ICSA Applied Statistics Symposium
2022 NSF-Simons Center Fellow Award
- Yuan, Y., & Qu, A. (2021) "Community detection with dependent connectivity." Annals of Statistics, 49(4), 2378-2428.
- Yuan, Y., & Qu, A. (2021) "High-order joint embedding for multi-level link prediction". Journal of the American Statistical Association, DOI: 10.1080/01621459.2021.2005608.
- Deng, Y.*, Yuan, Y.*, Fu, H., & Qu, A. (2021+) "Query-augmented active metric learning." Journal of American Statistical Association, (*joint first author) DOI: 10.1080/01621459.2021.2019045.
- Zhang, J., Yuan, Y., & Qu, A. (2022) "A tensor factorization recommender system with dependency." Electronic Journal of Statistics, 16, 2175-2205.
- Bi, X.*, Tang, X.*, Yuan, Y.*, Zhang, Y.*, & Qu, A*. (2021) "Tensors in statistics." Annual Review of Statistics and Its Application, 8, 345-368 (*equal contribution).
- Yuan, Y., Deng, Y., Zhang, Y., & Qu, A*. (2020) "Deep learning from a statistical perspective." Stat, 9(1), e294.
STAT 414 - Introduction to Probability Theory