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Cheng-Wei Ju

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2020 – today

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2024
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  - journals/jcisd/XuLXGJZZ24
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Yuzhi Xu, Xinxin Liu, Wei Xia, Jiankai Ge, Cheng-Wei Ju, Haiping Zhang, John Z. H. Zhang:
ChemXTree: A Feature-Enhanced Graph Neural Network-Neural Decision Tree Framework for ADMET Prediction. J. Chem. Inf. Model. 64(22): 8440-8452 (2024)
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  - journals/corr/abs-2411-01578
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Siqi Chen, Zhiqiang Wang, Xianqi Deng, Yili Shen, Cheng-Wei Ju, Jun Yi, Lin Xiong, Guo Ling, Dieaa Alhmoud, Hui Guan, Zhou Lin:
Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces. CoRR abs/2411.01578 (2024)
2022
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  - journals/corr/abs-2205-13038
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Yili Shen, Jiaxu Yan, Cheng-Wei Ju, Jun Yi, Zhou Lin, Hui Guan:
Improving Subgraph Representation Learning via Multi-View Augmentation. CoRR abs/2205.13038 (2022)
2021
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Cheng-Wei Ju, Hanzhi Bai, Bo Li, Rizhang Liu:
Machine Learning Enables Highly Accurate Predictions of Photophysical Properties of Organic Fluorescent Materials: Emission Wavelengths and Quantum Yields. J. Chem. Inf. Model. 61(3): 1053-1065 (2021)

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