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Creators/Authors contains: "Zhong, Yuan"

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  1. ; ; ; ; ; ; ; (, ACM)
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  2. ; ; ; ; ; ; ; ; ; ; et al (, International Joint Conferences on Artificial Intelligence Organization)
    The development of electronic health records (EHR) systems has enabled the collection of a vast amount of digitized patient data. However, utilizing EHR data for predictive modeling presents several challenges due to its unique characteristics. With the advancements in machine learning techniques, deep learning has demonstrated its superiority in various applications, including healthcare. This survey systematically reviews recent advances in deep learning-based predictive models using EHR data. Specifically, we introduce the background of EHR data and provide a mathematical definition of the predictive modeling task. We then categorize and summarize predictive deep models from multiple perspectives. Furthermore, we present benchmarks and toolkits relevant to predictive modeling in healthcare. Finally, we conclude this survey by discussing open challenges and suggesting promising directions for future research. 
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  3. ; ; ; ; ; (, Proceedings of the 2024 SIAM International Conference on Data Mining (SDM))
  4. ; ; ; ; ; ; ; ; (, Association for Computational Linguistics)
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  5. ; ; ; ; ; ; ; ; ; (, Proceedings of the 2024 SIAM International Conference on Data Mining (SDM))
  6. ; ; ; ; ; ; ; (, Association for Computational Linguistics)
  7. ; ; ; ; ; ; ; ; ; ; et al (, Cell Reports)
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  8. ; ; (, Chemistry – A European Journal)
    Abstract Ligand‐controlled regiodivergence has been developed for catalytic semireduction of allenamides with excellent chemo‐ and stereocontrol. This system also provides an example of catalytic regiodivergent semireduction of allenes for the first time. The divergence of the semireduction is enabled by ligand switch with the same palladium pre‐catalyst under operationally simple and mild conditions. Monodentate ligand XPhos exclusively promotes selective 1,2‐semireduction to afford allylic amides, while bidentate ligand BINAP completely switched the regioselectivity to 2,3‐semireduction, producing (E)‐enamide derivatives. 
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  9. ; ; ; ; (, Analytical Chemistry)
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  10. ; ; ; ; (, Proceedings of the 2017 ACM on Conference on Information and Knowledge Management)
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