Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling. - Jessica L. Gronsbell; Molei Liu; Lu Tian; Tianxi Cai (CoRR, 2020)

A high-throughput phenotyping algorithm is portable from adult to pediatric populations. - Alon Geva; Molei Liu; Vidul Ayakulangara Panickan; Paul Avillach; Tianxi Cai; Kenneth D. Mandl (J. Am. Medical Informatics Assoc., 2021)

Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints. - Molei Liu; Yin Xia; Kelly Cho; Tianxi Cai (J. Mach. Learn. Res., 2021)

Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data. - Chuan Hong; Everett Neil Rush; Molei Liu; Doudou Zhou; Jiehuan Sun; Aaron Sonabend W.; Victor M. Castro; Petra Schubert; Vidul Ayakulangara Panickan; Tianrun Cai; Lauren Costa; Zeling He; et al. (npj Digit. Medicine, 2021)

Knowledge-Driven Online Multimodal Automated Phenotyping System. - Molei Liu; Sara Morini; Xin Xiong; Chuan Hong; Clara-Lea Bonzel; Vidul Ayakulangara Panickan; Everett Neil Rush; Yuk-Lam Ho; Kelly Cho; J. Michael Gaziano; Katherine P. Liao; Tianxi Cai; et al. (AMIA, 2022)

Weakly Semi-supervised phenotyping using Electronic Health records. - Isabelle-Emmanuella Nogues; Jun Wen; Yucong Lin; Molei Liu; Sara K. Tedeschi; Alon Geva; Tianxi Cai; Chuan Hong (J. Biomed. Informatics, 2022)

Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping. - Yichi Zhang; Molei Liu; Matey Neykov; Tianxi Cai (J. Mach. Learn. Res., 2022)

Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models. - Molei Liu; Yi Zhang; Katherine P. Liao; Tianxi Cai (J. Mach. Learn. Res., 2023)

Covariate Shift Corrected Conditional Randomization Test. - Bowen Xu; Yiwen Huang; Chuan Hong; Shuangning Li; Molei Liu (NeurIPS, 2024)

Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Biomedical Data Analysis. - Siqi Li 004; Xin Li 079; Kunyu Yu; Di Miao; Mingcheng Zhu 003; Mengying Yan; Yuhe Ke; Danny D'Agostino; Yilin Ning; Qiming Wu 001; Ziwen Wang; Yuqing Shang; et al. (CoRR, 2024)

Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance. - Chuan Hong; Molei Liu; Daniel Wojdyla; Jimmy Hickey; Michael J. Pencina; Ricardo Henao (J. Biomed. Informatics, 2024)

FedIMPUTE: Privacy-preserving missing value imputation for multi-site heterogeneous electronic health records. - Siqi Li 004; Mengying Yan; Ruizhi Yuan; Molei Liu; Nan Liu 003; Chuan Hong (J. Biomed. Informatics, 2025)

Knowledge-Guided Wasserstein Distributionally Robust Optimization. - Zitao Wang; Ziyuan Wang; Molei Liu; Nian Si (CoRR, 2025)

Transfer Learning of CATE with Kernel Ridge Regression. - Seok-Jin Kim; Hongjie Liu; Molei Liu; Kaizheng Wang (CoRR, 2025)

StablePCA: Learning Shared Representations across Multiple Sources via Minimax Optimization. - Zhenyu Wang; Molei Liu; Jing Lei; Francis Bach 001; Zijian Guo 003 (CoRR, 2025)

SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation. - Wangxuan Fan; Siqi Li 004; Doudou Zhou; Yohei Okada; Chuan Hong; Molei Liu; Nan Liu 003 (CoRR, 2025)

Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data. - Linshanshan Wang; Mengyan Li; Zongqi Xia; Molei Liu; Tianxi Cai (CoRR, 2025)

CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition. - Zebin Wang; Menghan Lin; Bolin Shen; Ken Anderson; Molei Liu; Tianxi Cai; Yushun Dong (CoRR, 2025)