1 citations · 1 across the 5 of their papers we have counts for
6 papers
Censored Flow Matching for Synthetic Time-to-Event Generation
Jianbin Tan, Xingran Chen, Kevin He +3
Generating time-to-event data is increasingly important in survival analysis, but it remains statistically challenging because event times are often censored and thus prevent flexi…
Panel Flow Matching: A Generative Approach to Learning Distributions of Longitudinal Data
Jianbin Tan, Pixu Shi, Anru R. Zhang
Learning distributions of longitudinal data is central to tasks such as visualization, completion, classification, and synthetic data generation, but it remains statistically chall…
Associating High-Dimensional Longitudinal Datasets through an Efficient Cross-Covariance Decomposition
Jianbin Tan, Pixu Shi
Understanding associations between paired high-dimensional longitudinal datasets is a fundamental yet challenging problem arising across scientific domains, including longitudinal…
Smooth Flow Matching for Synthesizing Functional Data
Jianbin Tan, Anru R. Zhang
Functional data, i.e., random functions observed over a continuous domain, are increasingly available in areas such as biomedical research, health informatics, and epidemiology. Ho…
Integrated Analysis for Electronic Health Records with Structured and Sporadic Missingness
Jianbin Tan, Yan Zhang, Chuan Hong +3
Objectives: We propose a novel imputation method tailored for Electronic Health Records (EHRs) with structured and sporadic missingness. Such missingness frequently arises in the i…
Functional-SVD for Heterogeneous Trajectories: Case Studies in Health
Jianbin Tan, Pixu Shi, Anru R. Zhang
Trajectory data, including time series and longitudinal measurements, are increasingly common in health-related domains such as biomedical research and epidemiology. Real-world tra…