Publications

• 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.)

• Live Imaging Reveals Chromatin Compaction Transitions and Dynamic Transcriptional Bursting during Stem Cell Differentiation in vivo 

Dennis May, Sangwon Yun, David Gonzalez, Sangbum Park, Yanbo Chen, Elizabeth Lathrop, Biao Cai, Tianchi Xin, Hongyu Zhao, Siyuan Wang, Lauren E. Gonzalez,   Katie Cockburn and Valentina Greco.

eLife, 2023.

• Latent Network Structure Learning from High Dimensional Multivariate Point Processes 

Biao Cai, Jingfei Zhang  and Yongtao Guan

Journal of the American Statistical Association, 2024. 

• Cell-type-specific Co-expression Inference from Single Cell RNA-sequencing Data

Chang Su, Zichun Xu, Xinning Shan, Biao Cai, Hongyu Zhao and Jingfei Zhang

Nature Communications, 2023.

• Joint Modeling of Human Cortical Structure: Genetic Correlation Network and Composite-trait Genetic Correlation

Jiangnan Shen, Yiliang Zhang, Zhaohan Zhu, Youshu Cheng, Biao Cai, Yize Zhao and Hongyu Zhao

NeuroImage, 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, forthcoming. 

• Jointly Modeling and Clustering Tensors in High Dimensions 

Biao Cai , Jingfei Zhang, and Will Wei Sun

Operations Research, invited revision.

• Learning Brain Connectivity in Social Cognition with Dynamic Network Regression 

Maoyu Zhang*, Biao Cai*, Wenlin Dai, Dehan Kong, Hongyu Zhao and Jingfei Zhang.  (*  Co-first author.)

Annals of Applied Statistics, invited revision.

• A Hierarchical Bayesian Interaction Model to Estimate Cell-type-specific Methylation Quantitative Trait Loci Incorporating Priors from Cell-sorted Bisulfite Sequencing Data 

Youshu Cheng, Biao Cai, Hongyu Li, Xinyu Zhang, Gypsyamber D'Souza, Sadeep Shrestha, Andrew Edmonds, Jacquelyn Meyers, Margaret Fischl, Seble Kassaye, Kathryn Anastos, Mardge Cohen, Bradley E Aouizerat, Ke Xu and Hongyu Zhao.

Teaching

Instructor                                                                Miami Herbert Business School                                                                                

• MAS201 - Introduction to Business Statistics (2019) , 4.6/5 

Teaching Assistant                                             Miami Herbert Business School    

• MAS311 - Applied Probability and Statistics (2017,2019)

• MAS312 - Statistical Methods and Quality Control (2021)

• MAS631 - Statistics for Managerial Decision Making (2018,2019,2020)

• MAS637 - Applied Regression Analysis and Forecasting (2018)

• MAS637 - Applied Regression Analysis I (2019,2020)  

• MAS640 - Applied Time Series Analysis and Forecasting (2017,2019,2020,2021)

Teaching Assistant                  University of Science and Technology of China                                     

• Probability and Mathematical Statistics (2015)

• Statistical Software (2016)

Presentations

• Presentation on “Learning Latent Network Structure from High-Dimensional Multivariate Point Processes,” Joint Statistical Meetings, Denver, CO, 2019.

• Presentation on “Tensor Mixture Model in High-Dimensions,” Joint Statistical Meetings, Philadelphia, PA, 2020 (virtual).

• Poster presentation on “Latent Network Structure Learning from High-Dimensional Multivariate Point Processes,” ICSA 2020 Applied Statistics Symposium, Houston, TX, 2020 (virtual).

• Presentation on “Learning Human Activity Patterns using Clustered Point Processes with Active and Inactive States,” Peking University, 2022, ("狗熊会" Talk Video).

• Presentation on “Jointly Modeling and Clustering Tensors in High Dimensions,” Joint Statistical Meetings, Washington, DC, 2022.

• Presentation on ``Learning Human Activity Patterns using Clustered Point Processes with Active and Inactive States,'' The 6th International Conference on Econometrics and Statistics, Tokyo, Japan, 2023 (virtual).

Contact

• Email: biao.cai@cityu.edu.hk