Siqi Li - RankMe

29 papers Misc 2Journal 21Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Author Correction: Leveraging AI and transfer learning to enhance out-of-hospital cardiac arrest outcome prediction in diverse setting. npj Digit. Medicine Siqi Li, Yohei Okada, Wenjun Gu, Michael Hao Chen, Son Ngoc Do, Quyet Dinh Pham, Quoc Ta Hoang, Marcus Eng Hock Ong, Nan Liu, Michael Y. C. Chia, Yih Yng Ng, Benjamin S. H. Leong, Han Nee Gan, Desmond R. Mao, Wei Ming Ng, Nausheen E. Doctor, Ling Tiah, Andrew Fu Wah Ho, Wei Ling Tay, Si Oon Cheah, Shun Yee Low, Lai Peng Tham, Shir Lynn Lim, Dai Quoc Khuong, Long Hoang Le, Tuan Anh Nguyen, Chinh Quoc Luong, Thang Xuan Vu, Dat Tuan Nguyen, Huan Huu Nguyen, Hung Quang To, Hai Minh Truong, Hung Trong Nguyen, Trang Thuy Nguyen
2026	J	`jnl`	Communication-Efficient Federated Risk Difference Estimation for Time-to-Event Clinical Outcomes. CoRR Ziwen Wang, Siqi Li, Marcus Eng Hock Ong, Nan Liu
2025	J	`jnl`	Benchmarking Foundation Models with Multimodal Public Electronic Health Records. CoRR Kunyu Yu, Rui Yang, Jingchi Liao, Siqi Li, Huitao Li, Irene Li, Yifan Peng, Rishikesan Kamaleswaran, Nan Liu
2025	J	`jnl`	Developing federated time-to-event scores using heterogeneous real-world survival data. Comput. Biol. Medicine Siqi Li, Ziwen Wang, Yuqing Shang, Qiming Wu, Chuan Hong, Yilin Ning, Di Miao, Marcus Eng Hock Ong, Bibhas Chakraborty, Nan Liu
2025	—	`conf`	FairFML: A Unified Approach to Algorithmic Fair Federated Learning with Applications to Reducing Gender Disparities in Cardiac Arrest Outcomes. MedInfo Siqi Li, Qiming Wu, Xin Li, Di Miao, Chuan Hong, Wenjun Gu, Yilin Ning, Yuqing Shang, Nan Liu
2025	J	`jnl`	FedIMPUTE: Privacy-preserving missing value imputation for multi-site heterogeneous electronic health records. J. Biomed. Informatics Siqi Li, Mengying Yan, Ruizhi Yuan, Molei Liu, Nan Liu, Chuan Hong
2025	J	`jnl`	Leveraging AI and transfer learning to enhance out-of-hospital cardiac arrest outcome prediction in diverse setting. npj Digit. Medicine Siqi Li, Yohei Okada, Wenjun Gu, Michael Hao Chen, Son Ngoc Do, Quyet Dinh Pham, Quoc Ta Hoang, Marcus Eng Hock Ong, Nan Liu, Michael Y. C. Chia, Yih Yng Ng, Benjamin S. H. Leong, Han Nee Gan, Desmond R. Mao, Wei Ming Ng, Nausheen E. Doctor, Ling Tiah, Andrew Fu Wah Ho, Wei Ling Tay, Si Oon Cheah, Shun Yee Low, Lai Peng Tham, Shir Lynn Lim, Dai Quoc Khuong, Long Hoang Le, Tuan Anh Nguyen, Chinh Quoc Luong, Thang Xuan Vu, Dat Tuan Nguyen, Huan Huu Nguyen, Hung Quang To, Hai Minh Truong, Hung Trong Nguyen, Trang Thuy Nguyen
2025	J	`jnl`	Robust Mixture Models for Algorithmic Fairness Under Latent Heterogeneity. CoRR Siqi Li, Molei Liu, Ziye Tian, Chuan Hong, Nan Liu
2025	J	`jnl`	SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation. CoRR Wangxuan Fan, Siqi Li, Doudou Zhou, Yohei Okada, Chuan Hong, Molei Liu, Nan Liu
2025	J	`jnl`	TRACER: Transfer Learning based Real-time Adaptation for Clinical Evolving Risk. CoRR Mengying Yan, Ziye Tian, Siqi Li, Nan Liu, Benjamin Goldstein, Molei Liu, Chuan Hong
2025	—	`conf`	Transfer Learning Enhances Neurological Outcome Prediction for Out-of-Hospital Cardiac Arrest: Validation Across Diverse Geographic Contexts. MedInfo Siqi Li, Yohei Okada, Wenjun Gu, Michael Hao Chen, Marcus Eng Hock Ong, Nan Liu
2024	J	`jnl`	Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Biomedical Data Analysis. CoRR 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
2024	J	`jnl`	Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data. CoRR Siqi Li, Yuqing Shang, Ziwen Wang, Qiming Wu, Chuan Hong, Yilin Ning, Di Miao, Marcus Eng Hock Ong, Bibhas Chakraborty, Nan Liu
2024	—	`conf`	Empirical Evaluations of Personalized Federated Learning on Heterogeneous Electronic Health Records. Tiny Papers @ ICLR Yuqing Shang, Qiming Wu, Siqi Li, Di Miao
2024	—	`conf`	Evaluating the Efficacy of Federated Scoring Systems with Heterogeneous Electronic Health Records. Tiny Papers @ ICLR Qiming Wu, Siqi Li, Di Miao, Yuqing Shang, Xin Li, Nan Liu
2024	J	`jnl`	FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction. CoRR Siqi Li, Qiming Wu, Xin Li, Di Miao, Chuan Hong, Wenjun Gu, Yuqing Shang, Yohei Okada, Michael Hao Chen, Mengying Yan, Yilin Ning, Marcus Eng Hock Ong, Nan Liu
2024	—	`conf`	Transfer Learning for Global Feature Importance Measurements. Tiny Papers @ ICLR Xin Li, Siqi Li, Qiming Wu, Kunyu Yu
2023	J	`jnl`	FedScore: A privacy-preserving framework for federated scoring system development. CoRR Siqi Li, Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Chuan Hong, Feng Xie, Han Yuan, Mingxuan Liu, Daniel M. Buckland, Yong Chen, Nan Liu
2023	J	`jnl`	FedScore: A privacy-preserving framework for federated scoring system development. J. Biomed. Informatics Siqi Li, Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Chuan Hong, Feng Xie, Han Yuan, Mingxuan Liu, Daniel M. Buckland, Yong Chen, Nan Liu
2023	J	`jnl`	Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches. CoRR Siqi Li, Di Miao, Qiming Wu, Chuan Hong, Danny D'Agostino, Xin Li, Yilin Ning, Yuqing Shang, Huazhu Fu, Marcus Eng Hock Ong, Hamed Haddadi, Nan Liu
2023	J	`jnl`	Federated and distributed learning applications for electronic health records and structured medical data: A scoping review. CoRR 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, Nan Liu
2023	J	`jnl`	Federated and distributed learning applications for electronic health records and structured medical data: a scoping review. J. Am. Medical Informatics Assoc. 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, Nan Liu
2023	J	`jnl`	Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. Artif. Intell. Medicine Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Yuqing Shang, Victor Volovici, Bibhas Chakraborty, Nan Liu
2023	—	`conf`	Interpretable Machine Learning-Based Risk Scoring with Individual and Ensemble Model Selection for Clinical Decision Making. Tiny Papers @ ICLR Han Yuan, Jin Wee Lee, Mingxuan Liu, Siqi Li, Chenglin Niu, Jun Wen, Feng Xie
2022	Misc	`conf`	A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in A Retrospective Cohort Study. AMIA Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu
2022	J	`jnl`	A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study. CoRR Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu
2022	Misc	`conf`	Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records. AMIA Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu
2022	J	`jnl`	Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. CoRR Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Victor Volovici, Bibhas Chakraborty, Nan Liu
2021	J	`jnl`	Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records. CoRR Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu