* denotes equal contribution

Distributionally Robust Optimization

Robust Mixture Models for Algorithmic Fairness Under Latent Heterogeneity
Siqi Li, Molei Liu, Ziye Tian, Chuan Hong and Nan Liu
arXiv preprint, Sep 2025
Paper | Code

Transfer Learning

TRACER: Transfer Learning based Real‑time Adaptation for Clinical Evolving Risk
Mengying Yan, Ziye Tian, Siqi Li, Nan Liu, Benjamin A. Goldstein, Molei Liu and Chuan Hong
arXiv preprint, Dec 2025
Paper | Code

Leveraging AI and Transfer Learning to Enhance Outcome Prediction for Out‑of‑Hospital Cardiac Arrest in Diverse Settings: Insights from the Pan‑Asian Resuscitation Outcomes Study
Siqi Li, Yohei Okada, Wenjun Gu, Michael Hao Chen, Son Ngoc Do, Quyet Dinh Pham, Quoc TA Hoang, Marcus Eng Hock Ong and Nan Liu
npj Digital Medicine, Nov 2025
Paper | Code

Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Structured Data Analysis
Siqi Li, Xin Li, Kunyu Yu, Qiming Wu, Di Miao, Mingcheng Zhu, Mengying Yan, Yuhe Ke, Danny D’Agostino, Yilin Ning, Ziwen Wang, Yuqing Shang, Molei Liu, Chuan Hong and Nan Liu
Health Data Science, Sep 2025
Paper

Federated Learning

Communication‑Efficient Federated Risk Difference Estimation for Time‑to‑Event Clinical Outcomes
Ziwen Wang*, Siqi Li*, Marcus Eng Hock Ong and Nan Liu
arXiv preprint, Jan 2026
Paper | Code

Developing federated time-to-event scores using heterogeneous real-world survival data
Siqi Li, Ziwen Wang, Yuqing Shang, Qiming Wu, Chuan Hong, Yilin Ning, Di Miao, Marcus Eng Hock Ong, Bibhas Chakraborty and Nan Liu
Computers in Biology and Medicine, Sep 2025
Paper | Code

FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction
Siqi Li, Qiming Wu, Doudou Zhou, Xin Li, Di Miao, Chuan Hong, Wenjun Gu, Yuqing Shang, Yohei Okada, Michael Hao Chen, Mengying Yan, Yilin Ning, Marcus Eng Hock Ong and Nan Liu
npj Health Systems, Aug 2025
Paper | Code

FedIMPUTE: Privacy‑Preserving Missing Value Imputation for Multi‑Site Heterogeneous Electronic Health Records
Siqi Li, Mengying Yan, Ruizhi Yuan, Molei Liu, Nan Liu and Chuan Hong
Journal of Biomedical Informatics, Mar 2025
Paper | Code

Federated Learning in Healthcare: A Benchmark Comparison of Engineering and Statistical Approaches for Structured Data Analysis
Siqi Li, Di Miao, Qiming Wu, Chuan Hong, Danny D’Agostino, Xin Li, Yilin Ning, Yuqing Shang, Ziwen Wang, Molei Liu, Huazhu Fu, Marcus Eng Hock Ong, Hamed Haddadi, and Nan Liu
Health Data Science, Dec 2024
Paper | Code

FedScore: A privacy-preserving framework for federated scoring system development
Siqi Li, Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Chuan Hong, Feng Xie, Han Yuan, Mingxuan Liu, Daniel M. Buckland, Yong Chen and Nan Liu
Computers in Biology and Medicine, Sep 2023
Paper | Code

Federated and distributed learning applications for electronic health records and structured medical data: a scoping review
Siqi Li, Pinyan Liu, Gustavo G Nascimento , Xinru Wang, Fabio Renato Manzolli Leite, Bibhas Chakraborty, Chuan Hong, Yilin Ning, Feng Xie, Zhen Ling Teo, Daniel Shu Wei Ting, Hamed Haddadi, Marcus Eng Hock Ong, Marco Aurélio Peres and Nan Liu
Journal of the American Medical Informatics Association, Aug 2023
Paper

Shapley Values & XAI

Shift‑Invariant Attribute Scoring for Kolmogorov‑Arnold Networks via Shapley Value
Wangxuan Fan, Ching Wang, Siqi Li and Nan Liu
arXiv preprint, Oct 2025
Paper | Code

SIM‑Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation
Wangxuan Fan*, Siqi Li*, Doudou Zhou, Yohei Okada, Chuan Hong, Molei Liu and Nan Liu
arXiv preprint, May 2025
Paper | Code

Variable importance analysis with interpretable machine learning for fair risk prediction
Yilin Ning, Siqi Li, Yih Yng Ng, Michael Yih Chong Chia, Han Nee Gan, Ling Tiah, Desmond Renhao Mao, Wei Ming Ng, Benjamin Sieu-Hon Leong, Nausheen Doctor, Marcus Eng Hock Ong and Nan Liu
PLOS Digit Health, July 2024
Paper | Code