Monte Carlo computer simulation of a camera system for proton beam range verification in cancer treatment. - Xiao-Li Sun; Hui Wang 046; Xin-Ke Li; Guo-Hong Cao; Yu Kuang; Xiao-Chen Zhang (Future Gener. Comput. Syst., 2020)

Learning to SMILES: BAN-based strategies to improve latent representation learning from molecules. - Chengkun Wu; Xiao-Chen Zhang; Zhi-Jiang Yang; Ai-Ping Lu; Tingjun Hou; Dong-Sheng Cao 001 (Briefings Bioinform., 2021)

MG-BERT: leveraging unsupervised atomic representation learning for molecular property prediction. - Xiao-Chen Zhang; Chengkun Wu; Zhi-Jiang Yang; Zhen-Xing Wu; Jiacai Yi; Chang-Yu Hsieh; Tingjun Hou; Dong-Sheng Cao 001 (Briefings Bioinform., 2021)

ABC-Net: a divide-and-conquer based deep learning architecture for SMILES recognition from molecular images. - Xiao-Chen Zhang; Jiacai Yi; Guo-Ping Yang; Chengkun Wu; Tingjun Hou; Dong-Sheng Cao 001 (Briefings Bioinform., 2022)

MICER: a pre-trained encoder-decoder architecture for molecular image captioning. - Jiacai Yi; Chengkun Wu; Xiao-Chen Zhang; Xinyi Xiao; Yanlong Qiu; Wentao Zhao; Tingjun Hou; Dong-Sheng Cao 001 (Bioinform., 2022)

Improved GNNs for Log D7.4 Prediction by Transferring Knowledge from Low-Fidelity Data. - 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 001 (J. Chem. Inf. Model., 2023)

ChemMORT: an automatic ADMET optimization platform using deep learning and multi-objective particle swarm optimization. - Jiacai Yi; Zi-Yi Yang; Wen-Tao Zhao; Zhi-Jiang Yang; Xiao-Chen Zhang; Chengkun Wu; Ai-Ping Lu; Dong-Sheng Cao 001 (Briefings Bioinform., 2024)