• Distributed statistical learning
• Data-driven decision making
• High dimensional statistics and robust statistics
• Experimental causal inference

Jianqing Fan, Yongyi Guo, Maxine Yu (2021). Policy Optimization Using Semiparametric Models for Dynamic Pricing. Major revision requested by Journal of the American Statistical Association.

Yongyi Guo, Dominic Coey, Mikael Konutgan, Wenting Li, Chris Schoener, Matt Goldman (2021). Machine Learning for Variance Reduction in Online Experiments. Conference on Neural Information Processing Systems, 2021.

Yongyi Guo^†, Ziwei Zhu^†, Jianqing Fan (2021). Best subset selection is robust against design dependence. [^†: equal contribution]

Jianqing Fan, Yongyi Guo, Kaizheng Wang (2020). Communication-Efficient Accurate Statistical Estimation. Journal of the American Statistical Association 1–11 (Online).

Jianqing Fan, Yongyi Guo, Bai Jiang (2020). Adaptive Huber Regression on Markov Dependent Data. Stochastic Processes and their Applications, to appear.

Yongyi Guo, Zhiyi You, Min Qian, Hao Ge (2017). Stochastic Robustness and Relative Stability of Multiple Pathways in Biological Networks. Science China Mathematics 2017, 47:1831 – 1852. (Winner of Excellent Paper Award)