Molei Liu

According to our database, Molei Liu authored at least 18 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, June, 2025

Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data.

Linshanshan Wang, Mengyan Li, Zongqi Xia, Molei Liu, Tianxi Cai

CoRR, May, 2025

SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation.

Wangxuan Fan, Siqi Li, Doudou Zhou, Yohei Okada, Chuan Hong, Molei Liu, Nan Liu

CoRR, May, 2025

StablePCA: Learning Shared Representations across Multiple Sources via Minimax Optimization.

Zhenyu Wang, Molei Liu, Jing Lei, Francis Bach, Zijian Guo

CoRR, May, 2025

Transfer Learning of CATE with Kernel Ridge Regression.

Seok-Jin Kim, Hongjie Liu, Molei Liu, Kaizheng Wang

CoRR, February, 2025

Knowledge-Guided Wasserstein Distributionally Robust Optimization.

Zitao Wang, Ziyuan Wang, Molei Liu, Nian Si

CoRR, February, 2025

FedIMPUTE: Privacy-preserving missing value imputation for multi-site heterogeneous electronic health records.

Siqi Li, Mengying Yan, Ruizhi Yuan, Molei Liu, Nan Liu, Chuan Hong

J. Biomed. Informatics, 2025

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, January, 2024

Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Biomedical Data Analysis.

Siqi Li, Xin Li, Kunyu Yu, Di Miao, Mingcheng Zhu, Mengying Yan, Yuhe Ke, Danny D'Agostino, Yilin Ning, Qiming Wu, Ziwen Wang, Yuqing Shang, Molei Liu, Chuan Hong, Nan Liu

CoRR, 2024

Covariate Shift Corrected Conditional Randomization Test.

Bowen Xu, Yiwen Huang, Chuan Hong, Shuangning Li, Molei Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models.

Molei Liu, Yi Zhang, Katherine P. Liao, Tianxi Cai

J. Mach. Learn. Res., 2023

2022

Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping.

Yichi Zhang, Molei Liu, Matey Neykov, Tianxi Cai

J. Mach. Learn. Res., 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

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, Tianrun Cai

Proceedings of the AMIA 2022, 2022

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, Nicholas B. Link, Ronald G. Hauser, J. Michael Gaziano, Shawn N. Murphy, George Ostrouchov, Yuk-Lam Ho, Edmon Begoli, Junwei Lu, Kelly Cho, Katherine P. Liao, Tianxi Cai

npj Digit. Medicine, 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

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

2020

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