Biao CAI

His main research interests lie in the area of statistical machine learning with complex data structure, including point process models, tensor learning, mediation analysis and so on.

Latent Network Structure Learning from High Dimensional Multivariate Point Processes Biao Cai, Jingfei Zhang and Yongtao Guan Journal of the American Statistical Association, 2024. Statistical Inference of Cell-type Proportions Estimated from Bulk Expression Data Biao Cai, Jingfei Zhang, Hongyu Li, Chang Su and Hongyu Zhao Journal of the American Statistical Association, 2024. Jointly Modeling and Clustering Tensors in High Dimensions Biao Cai, Jingfei Zhang, and Will Wei Sun Operations Research, 2025. Learning Human Activity Patterns using Clustered Point Processes with Active and Inactive States Jingfei Zhang*, Biao Cai*, Xuening Zhu, Hansheng Wang, Ganggang Xu and Yongtao Guan Journal of Business and Economic Statistics, 2023. (* Co-first author.) Learning Brain Connectivity in Soc