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Jia-Cai Yi

Showing results (1-10 of 4) with videos related to

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Briefings in Bioinformatics|February 25, 2022
ABC-Net: a divide-and-conquer based deep learning architecture for SMILES recognition from molecular imagesXiao-Chen Zhang, Jia-Cai Yi, Guo-Ping Yang, et al.
Briefings in Bioinformatics|February 22, 2024
ChemMORT: an automatic ADMET optimization platform using deep learning and multi-objective particle swarm optimizationJia-Cai Yi, Zi-Yi Yang, Wen-Tao Zhao, et al.
Research (Washington, D.C.)|September 17, 2024
Pushing the Boundaries of Molecular Property Prediction for Drug Discovery with Multitask Learning BERT Enhanced by SMILES EnumerationXiao-Chen Zhang, Cheng-Kun Wu, Jia-Cai Yi, et al.
Briefings in Bioinformatics|May 5, 2021
MG-BERT: leveraging unsupervised atomic representation learning for molecular property predictionXiao-Chen Zhang, Cheng-Kun Wu, Zhi-Jiang Yang, et al.
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Showing results (1-10 of 4) with videos related to

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Pageof 1
Briefings in Bioinformatics|February 25, 2022
ABC-Net: a divide-and-conquer based deep learning architecture for SMILES recognition from molecular imagesXiao-Chen Zhang, Jia-Cai Yi, Guo-Ping Yang, et al.
Briefings in Bioinformatics|February 22, 2024
ChemMORT: an automatic ADMET optimization platform using deep learning and multi-objective particle swarm optimizationJia-Cai Yi, Zi-Yi Yang, Wen-Tao Zhao, et al.
Research (Washington, D.C.)|September 17, 2024
Pushing the Boundaries of Molecular Property Prediction for Drug Discovery with Multitask Learning BERT Enhanced by SMILES EnumerationXiao-Chen Zhang, Cheng-Kun Wu, Jia-Cai Yi, et al.
Briefings in Bioinformatics|May 5, 2021
MG-BERT: leveraging unsupervised atomic representation learning for molecular property predictionXiao-Chen Zhang, Cheng-Kun Wu, Zhi-Jiang Yang, et al.
Pageof 1