Research
My research is supported by NSF DMS-2015190 and DMS-2210469.
Technical Reports
Heterogeneous Tensor Mixture Model in High Dimensions [arXiv]
Biao Cai, Jingfei Zhang and Will Wei Sun.
Limiting Laws and Consistent Estimation Criteria for Fixed and Diverging Number of Spiked Eigenvalues [arXiv]
Jianwei Hu*, Jingfei Zhang*, Ji Zhu and Jianhua Guo.
Multi-task Learning for Gaussian Graphical Regressions with High Dimensional Covariates [arXiv]
Jingfei Zhang and Li Yi.
High-dimensional covariance regression with application to co-expression QTL detection [arXiv]
Rakheon Kim and Jingfei Zhang.
Publications
Statistical Inference of Cell-type Proportions Estimated from Bulk Expression Data
Biao Cai, Jingfei Zhang, Hongyu Li, Chang Su, Hongyu Zhao
Journal of the American Statistical Association, accepted 2024. [arXiv][code]
Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision Making
Jie Zhou, Botao Hao, Zheng Wen, Jingfei Zhang and Will Wei Sun
Journal of the American Statistical Association, accepted 2024. [arXiv]
Estimating Cell-type-specific Gene Co-expression Networks from Bulk Gene Expression Data with an Application to Alzheimer's Disease
Chang Su, Jingfei Zhang and Hongyu Zhao
Journal of the American Statistical Association, accepted 2023. [bioRxiv][code]
Fast Community Detection in Dynamic and Heterogeneous Networks
Maoyu Zhang, Jingfei Zhang and Wenlin Dai
Journal of Computational and Graphical Statistics, accepted 2023. [arXiv]
Nonparametric Bias-correction and Test for Mark-point Dependence with Replicated Marked Point Processes
Ganggang Xu, Jingfei Zhang, Yehua Li and Yongtao Guan
Journal of the American Statistical Association, 2024. [arXiv]
Latent Network Structure Learning from High Dimensional Multivariate Point Processes
Biao Cai, Jingfei Zhang and Yongtao Guan
Journal of the American Statistical Association, 2024. [arXiv]
High Dimensional Gaussian Graphical Regression Models with Covariates
Jingfei Zhang and Li Yi
Journal of the American Statistical Association, 2023. [arXiv][code]
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. [bioRxiv][code]
eQTL studies: from bulk tissues to single cells
Jingfei Zhang and Hongyu Zhao
Journal of Genetics and Genomics, 2023. [PDF]
Learning Human Activity Patterns using Clustered Point Process with Active and Inactive States
Jingfei Zhang*, Biao Cai*, Xuening Zhu, Hansheng Wang and Yongtao Guan
Journal of Business & Economics Statistics, 2023. [arXiv]
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies
Jingfei Zhang, Will Wei Sun and Lexin Li
Journal of Computational and Graphical Statistics, 2023. [arXiv][code]
Fast Network Community Detection with Profile-Pseudo Likelihood Methods
Jiangzhou Wang*, Jingfei Zhang*, Binghui Liu, Jianhua Guo and Ji Zhu
Journal of the American Statistical Association, 2023. [arXiv][code]
Partially Observed Dynamic Tensor Response Regression
Jie Zhou, Will Wei Sun, Jingfei Zhang and Lexin Li
Journal of the American Statistical Association, 2023. [arXiv]
Using Maximum Entry-Wise Deviation to Test the Goodness-of-Fit for Stochastic Block Models
Jianwei Hu*, Jingfei Zhang*, Hong Qin, Ting Yan and Ji Zhu
Journal of the American Statistical Association, 2021. [arXiv][code]
Sparse Tensor Additive Regression
Botao Hao, Boxiang Wang, Pengyuan Wang, Jingfei Zhang, Jian Yang and Will Wei Sun
Journal of Machine Learning Research, 2021. [arXiv]
Mixed-effect time-varying stochastic blockmodel and application in brain connectivity analysis
Jingfei Zhang, Will Wei Sun and Lexin Li
Journal of the American Statistical Association, 2020. [arXiv][code]
Semi-Parametric Learning of Structured Temporal Point Processes
Ganggang Xu, Ming Wang, Jiangze Bian, Timothy R. Burch, B., Sandro C. Andrade, Hui Huang, Jingfei Zhang and Yongtao Guan
Journal of Machine Learning Research, 2020. [PDF]
Nonparametric Estimation of the Pair Correlation Function of Replicated Inhomogeneous Point Processes
Ganggang Xu, Chong Zhao, Abdollah Jalilian, Rasmus Waagepetersen, Jingfei Zhang and Yongtao Guan
Electronic Journal of Statistics, 2020. [PDF]
Modularity based community detection in heterogeneous networks
Jingfei Zhang and Yuguo Chen
Statistica Sinica, 2020. [arXiv]
Finding Common Modules in a Time-Varying Network with Application to the Drosophila Melanogaster Gene Regulation Network
Jingfei Zhang and Jiguo Cao
Journal of the American Statistical Association, 2017. [PDF][code]
A Hypothesis Testing Framework for Modularity Based Network Community Detection
Jingfei Zhang and Yuguo Chen
Statistica Sinica, 2017. [PDF]
Second-order Quasi-likelihood for Spatial Point Processes
Chong Deng, Yongtao Guan, Rasmus Waagepetersen and Jingfei Zhang
Biometrics, 2017. [PDF]
Monte Carlo Algorithms for Identifying Densely Connected Subgraphs
Jingfei Zhang and Yuguo Chen
Journal of Computational and Graphical Statistics, 2015. [PDF][code]
Exponential Random Graph Models for Networks Resilient to Targeted Attacks
Jingfei Zhang and Yuguo Chen
Statistics and Its Interface, 2015. [PDF]
Sampling for Conditional Inference on Network Data
Jingfei Zhang and Yuguo Chen
Journal of the American Statistical Association, 2013. [PDF] [code]
(winner of the student paper competition by the ASA Sections on Statistical Computing and Statistical Graphics, 2012).
Individual Variability in Delayed Auditory Feedback Effects on Speech Fluency and Rate in Normally Fluent Adults
HeeCheong Chon, Shelly Jo Kraft, Jingfei Zhang, Torrey Loucks and Nicoline G. Ambrose
Journal of Speech Language and Hearing Research, 2013. [PDF]
Bivariate Downscaling with Asynchronous Measurements
Xuming He, Yunwen Yang and Jingfei Zhang
Journal of Agricultural, Biological, and Environmental Statistics, 2012. [PDF]
student coauthors are also highlighted in blue
*: equal contribution