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Yaobin Ling

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2020 – today

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2024
[i2]
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  - journals/corr/abs-2406-10521
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Yaobin Ling, Xiaoqian Jiang, Yejin Kim:
MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data. CoRR abs/2406.10521 (2024)
2023
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  - journals/jbi/LingUCJK23
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Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark. J. Biomed. Informatics 137: 104256 (2023)
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  - conf/ichi/UpadhyayaLCKJ23
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Pulakesh Upadhyaya, Yaobin Ling, Luyao Chen, Yejin Kim, Xiaoqian Jiang:
Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer's Disease Using Deep Learning. ICHI 2023: 49-57
2021
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  - journals/corr/abs-2109-12769
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Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark. CoRR abs/2109.12769 (2021)

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