Publications

Statistical & Machine Learning

  • Yuying Lu, Lan Luo, & Tian Gu. (2025) ReFIT: Federated Transfer Learning for Sequential Prediction and Uncertainty Quantification Using Streaming EHR Data. (under review).

  • Yuying Lu, Tian Gu, & Rui Duan. (2025). Adaptive Transfer Learning for Time-to-Event Modeling with Applications in Disease Risk Assessment. Biostatistics. (Accepted). [medRxiv] [Code]

  • Yuying Lu, Tian Gu, & Rui Duan. (2023). Enhancing Genetic Risk Prediction through Federated Semi-Supervised Transfer Learning with Inaccurate Electronic Health Record Data. Statistics in Biosciences. [Link]


Optimization

  • Wenbo Fei, Yuying Lu (co-first), Yuanjia Wang, & Molei Liu. (2026) Maximin Learning of Heterogeneous Treatment Effect on Multi-Domain Outcomes. (In preparation).

Deep Learning

  • Yuying Lu (co-first), Camille Morencé, Yong Jin Kweon, Archer Y. Yang, & Jun Ding. (2025) SC2CD: Co-optimizes Spatial Clustering and Cell Decomposition through Bidirectional Information Flow in Single-Cell Spatial Transcriptomics. (Submitted).