| Modeling gene regulatory networks using neural network architectures H Shu, J Zhou, Q Lian, H Li, D Zhao, J Zeng, J Ma Nature Computational Science 1 (7), 491-501, 2021 | 124 | 2021 |
| KPGT: knowledge-guided pre-training of graph transformer for molecular property prediction H Li, D Zhao, J Zeng Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 82 | 2022 |
| 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 | 40 | 2023 |
| Improving molecular property prediction through a task similarity enhanced transfer learning strategy H Li, X Zhao, S Li, F Wan, D Zhao, J Zeng Iscience 25 (10), 2022 | 16 | 2022 |
| Deciphering driver regulators of cell fate decisions from single-cell transcriptomics data with CEFCON P Wang, X Wen, H Li, P Lang, S Li, Y Lei, H Shu, L Gao, D Zhao, J Zeng Nature Communications 14 (1), 8459, 2023 | 10 | 2023 |
| MoTSE: an interpretable task similarity estimator for small molecular property prediction tasks H Li, X Zhao, S Li, F Wan, D Zhao, J Zeng International Conference on Research in Computational Molecular Biology, 2021 | 3 | 2021 |
| Deconvolution of polygenic risk score in single cells unravels cellular and molecular heterogeneity of complex human diseases S Zhang, H Shu, J Zhou, J Rubin-Sigler, X Yang, Y Liu, J Cooper-Knock, ... bioRxiv, 2024 | 2 | 2024 |
| Improving comparative analyses of Hi-C data via contrastive self-supervised learning H Li, X He, L Kurowski, R Zhang, D Zhao, J Zeng Briefings in Bioinformatics 24 (4), bbad193, 2023 | 2 | 2023 |
| 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 |
| Modeling gene interactions in polygenic prediction via geometric deep learning H Li, J Zeng, MP Snyder, S Zhang Genome Research 35 (1), 178-187, 2025 | | 2025 |
| Revolutionizing biomolecular structure determination with artificial intelligence H Li, Y Lei, J Zeng National Science Review 11 (11), nwae339, 2024 | | 2024 |
| PRS-Net: Interpretable polygenic risk scores via geometric learning H Li, J Zeng, MP Snyder, S Zhang International Conference on Research in Computational Molecular Biology, 377-380, 2024 | | 2024 |
| PepGB: Facilitating peptide drug discovery via graph neural networks Y Lei, X Wang, M Fang, H Li, X Li, J Zeng arXiv preprint arXiv:2401.14665, 2024 | | 2024 |
