| Fast and accurate protein function prediction from sequence through pretrained language model and homology-based label diffusion Q Yuan, J Xie, J Xie, H Zhao, Y Yang Briefings in bioinformatics 24 (3), bbad117, 2023 | 19 | 2023 |
| Selective functionalization of hindered meta-C–H bond of o-alkylaryl ketones promoted by automation and deep learning J Qiu, J Xie, S Su, Y Gao, H Meng, Y Yang, K Liao Chem 8 (12), 3275-3287, 2022 | 12 | 2022 |
| From intuition to AI: evolution of small molecule representations in drug discovery M McGibbon, S Shave, J Dong, Y Gao, DR Houston, J Xie, Y Yang, ... Briefings in bioinformatics 25 (1), bbad422, 2024 | 5 | 2024 |
| MolRep: A deep representation learning library for molecular property prediction J Rao, S Zheng, Y Song, J Chen, C Li, J Xie, H Yang, H Chen, Y Yang bioRxiv, 2021.01. 13.426489, 2021 | 4 | 2021 |
| A Variational Expectation-Maximization Framework for Balanced Multi-scale Learning of Protein and Drug Interactions Y Yang, J Rao, J Xie, Q Yuan, D Liu, Z Wang, Y Lu, S Zheng | | 2024 |
| Self-Supervised Contrastive Molecular Representation Learning with a Chemical Synthesis Knowledge Graph J Xie, Y Wang, J Rao, S Zheng, Y Yang Journal of Chemical Information and Modeling 64 (6), 1945-1954, 2024 | | 2024 |
| Predicting disease-gene associations through self-supervised mutual infomax graph convolution network J Xie, J Rao, J Xie, H Zhao, Y Yang Computers in Biology and Medicine 170, 108048, 2024 | | 2024 |
| Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks J Rao, J Xie, H Lin, S Zheng, Z Wang, Y Yang arXiv preprint arXiv:2402.04710, 2024 | | 2024 |
| Interpretable Drug Response Prediction through Molecule Structure-aware and Knowledge-Guided Visible Neural Network J Xie, Z Zhang, Y Li, J Rao, Y Yang bioRxiv, 2024.02. 07.579280, 2024 | | 2024 |
