Qiming Wu

According to our database, Qiming Wu authored at least 7 papers between 2023 and 2024.

Collaborative distances:

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

2024

FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction.

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

CoRR, 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

Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data.

Siqi Li, Yuqing Shang, Ziwen Wang, Qiming Wu, Chuan Hong, Yilin Ning, Di Miao, Marcus Eng Hock Ong, Bibhas Chakraborty, Nan Liu

CoRR, 2024

Evaluating the Efficacy of Federated Scoring Systems with Heterogeneous Electronic Health Records.

Qiming Wu, Siqi Li, Di Miao, Yuqing Shang, Xin Li, Nan Liu

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Empirical Evaluations of Personalized Federated Learning on Heterogeneous Electronic Health Records.

Yuqing Shang, Qiming Wu, Siqi Li, Di Miao

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Transfer Learning for Global Feature Importance Measurements.

Xin Li, Siqi Li, Qiming Wu, Kunyu Yu

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches.

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

CoRR, 2023