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2020 – today
- 2023
[j6]Yanqing Duan
, Li Fu, Xiao-Chen Zhang, Teng-Zhi Long, Yuan-Hang He, Zhao-Qian Liu, Ai-Ping Lu, Yafeng Deng, Chang-Yu Hsieh, Tingjun Hou, Dong-Sheng Cao:
Improved GNNs for Log D7.4 Prediction by Transferring Knowledge from Low-Fidelity Data. J. Chem. Inf. Model. 63(8): 2345-2359 (2023)- 2022
- [j5]Xiao-Chen Zhang, Jia-Cai Yi, Guo-Ping Yang, Chengkun Wu, Tingjun Hou, Dong-Sheng Cao:
ABC-Net: a divide-and-conquer based deep learning architecture for SMILES recognition from molecular images. Briefings Bioinform. 23(2) (2022) - [j4]Jia-Cai Yi, Chengkun Wu, Xiao-Chen Zhang, Xinyi Xiao, Yanlong Qiu, Wentao Zhao, Tingjun Hou, Dong-Sheng Cao:
MICER: a pre-trained encoder-decoder architecture for molecular image captioning. Bioinform. 38(19): 4562-4572 (2022) - 2021
- [j3]Chengkun Wu, Xiao-Chen Zhang, Zhi-Jiang Yang, Ai-Ping Lu, Tingjun Hou, Dong-Sheng Cao:
Learning to SMILES: BAN-based strategies to improve latent representation learning from molecules. Briefings Bioinform. 22(6) (2021) - [j2]Xiao-Chen Zhang, Chengkun Wu, Zhi-Jiang Yang, Zhen-Xing Wu, Jia-Cai Yi, Chang-Yu Hsieh, Tingjun Hou, Dong-Sheng Cao:
MG-BERT: leveraging unsupervised atomic representation learning for molecular property prediction. Briefings Bioinform. 22(6) (2021) - 2020
- [j1]Xiao-Li Sun, Hui Wang, Xin-Ke Li, Guo-Hong Cao, Yu Kuang, Xiao-Chen Zhang:
Monte Carlo computer simulation of a camera system for proton beam range verification in cancer treatment. Future Gener. Comput. Syst. 102: 978-991 (2020)
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