| Multi-view graph contrastive representation learning for drug-drug interaction prediction Y Wang, Y Min, X Chen, J Wu Proceedings of the web conference 2021, 2921-2933, 2021 | 169 | 2021 |
| Molecule generation for target protein binding with structural motifs Z Zhang, Y Min, S Zheng, Q Liu The Eleventh International Conference on Learning Representations, 2023 | 48 | 2023 |
| Towards predicting equilibrium distributions for molecular systems with deep learning S Zheng, J He, C Liu, Y Shi, Z Lu, W Feng, F Ju, J Wang, J Zhu, Y Min, ... arXiv preprint arXiv:2306.05445, 2023 | 46 | 2023 |
| A knowledge-guided pre-training framework for improving molecular representation learning H Li, R Zhang, Y Min, D Ma, D Zhao, J Zeng Nature Communications 14 (1), 7568, 2023 | 41 | 2023 |
| Predicting equilibrium distributions for molecular systems with deep learning S Zheng, J He, C Liu, Y Shi, Z Lu, W Feng, F Ju, J Wang, J Zhu, Y Min, ... Nature Machine Intelligence, 1-10, 2024 | 40 | 2024 |
| Molecular graph contrastive learning with parameterized explainable augmentations Y Wang, Y Min, E Shao, J Wu 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 20 | 2021 |
| Control risk for potential misuse of artificial intelligence in science J He, W Feng, Y Min, J Yi, K Tang, S Li, J Zhang, K Chen, W Zhou, X Xie, ... arXiv preprint arXiv:2312.06632, 2023 | 8 | 2023 |
| External oxidant-free cross-coupling of arylcopper and alkynylcopper reagents leading to arylalkyne S Wang, Y Min, X Zhang, C Xi RSC advances 7 (45), 28308-28312, 2017 | 8 | 2017 |
| Masked molecule modeling: a new paradigm of molecular representation learning for chemistry understanding J He, K Tian, S Luo, Y Min, S Zheng, Y Shi, D He, H Liu, N Yu, L Wang, ... | 7 | 2022 |
| Learning protein structural fingerprints under the label-free supervision of domain knowledge Y Min, S Liu, C Lou, X Cui 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 6 | 2018 |
| Molcloze: a unified cloze-style self-supervised molecular structure learning model for chemical property prediction Y Wang, X Chen, Y Min, J Wu 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 4 | 2021 |
| SFM-Protein: Integrative Co-evolutionary Pre-training for Advanced Protein Sequence Representation L He, P Jin, Y Min, S Xie, L Wu, T Qin, X Liang, K Gao, Y Jiang, TY Liu arXiv preprint arXiv:2410.24022, 2024 | 1 | 2024 |
| From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph‐Based Deep Learning Y Min, Y Wei, P Wang, X Wang, H Li, N Wu, S Bauer, S Zheng, Y Shi, ... Advanced Science 11 (40), 2405404, 2024 | 1 | 2024 |
| From Static to Dynamic Structures: Improving Binding Affinity Prediction with a Graph-Based Deep Learning Model Y Min, Y Wei, P Wang, X Wang, H Li, N Wu, S Bauer, S Zheng, Y Shi, ... arXiv preprint arXiv:2208.10230, 2022 | 1 | 2022 |
| Homologous protein detection X Cui, Y Min Academic Press, 2019 | 1 | 2019 |
| NatureLM: Deciphering the Language of Nature for Scientific Discovery Y Xia, P Jin, S Xie, L He, C Cao, R Luo, G Liu, Y Wang, Z Liu, YJ Chen, ... arXiv preprint arXiv:2502.07527, 2025 | | 2025 |
| Directing cellular transitions on gene graph-enhanced cell state manifold T Wang, Y Pan, F Ju, S Zheng, C Liu, Y Min, X Liu, H Xia, G Liu, H Liu, ... bioRxiv, 2024.10. 27.620174, 2024 | | 2024 |
Ji WuTsinghua Universityایمیل تأیید شده در tsinghua.edu.cn
