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研究兴趣

论文共 18 篇作者统计合作学者相似作者

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Transfer Learning for Global Feature Importance Measurements
Xin Li,Siqi Li, Qiming Wu, Kunyu Yu
International Conference on Learning Representations (2024)
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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
arXiv (Cornell University) (2024)
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Empirical Evaluations of Personalized Federated Learning on Heterogeneous Electronic Health Records
Yuqing Shang, Qiming Wu,Siqi Li, Di Miao
International Conference on Learning Representations (2024)
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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
arxiv（2024）
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Evaluating the Efficacy of Federated Scoring Systems with Heterogeneous Electronic Health Records
Qiming Wu,Siqi Li, Di Miao, Yuqing Shang, Xin Li,Nan Liu
International Conference on Learning Representations (2024)
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作者统计

#Papers: 18

#Citation: 9

H-Index: 2

G-Index: 2

Sociability: 4

Diversity: 1

Activity: 4

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