| Weakly supervised deep learning for covid-19 infection detection and classification from ct images S Hu, Y Gao, Z Niu, Y Jiang, L Li, X Xiao, M Wang, EF Fang, ... IEEE Access 8, 118869-118883, 2020 | 410 | 2020 |
| Amelioration of Alzheimer’s disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow Nature Biomedical Engineering, 2022 | 148 | 2022 |
| An extensive benchmark study on biomedical text generation and mining with ChatGPT Q Chen, H Sun, H Liu, Y Jiang, T Ran, X Jin, X Xiao, Z Lin, H Chen, Z Niu Bioinformatics 39 (9), btad557, 2023 | 45 | 2023 |
| Robust weakly supervised learning for COVID-19 recognition using multi-center CT images Q Ye, Y Gao, W Ding, Z Niu, C Wang, Y Jiang, M Wang, EF Fang, ... Applied Soft Computing 116, 108291, 2022 | 34 | 2022 |
| Pharmacophoric-constrained heterogeneous graph transformer model for molecular property prediction Y Jiang, S Jin, X Jin, X Xiao, W Wu, X Liu, Q Zhang, X Zeng, G Yang, ... Communications Chemistry 6 (1), 60, 2023 | 23 | 2023 |
| Systematic and comprehensive automated ventricle segmentation on ventricle images of the elderly patients: a retrospective study X Zhou, Q Ye, Y Jiang, M Wang, Z Niu, W Menpes-Smith, EF Fang, Z Liu, ... Frontiers in Aging Neuroscience 12, 618538, 2020 | 22 | 2020 |
| Pre‐Training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding F Wu, S Jin, Y Jiang, X Jin, B Tang, Z Niu, X Liu, Q Zhang, X Zeng, SZ Li Advanced Science 9 (33), 2203796, 2022 | 18 | 2022 |
| Can clinical symptoms and laboratory results predict CT abnormality? initial findings using novel machine learning techniques in children with COVID-19 infections H Ma, Q Ye, W Ding, Y Jiang, M Wang, Z Niu, X Zhou, Y Gao, C Wang, ... Frontiers in Medicine 8, 699984, 2021 | 15 | 2021 |
| Rethinking explaining graph neural networks via non-parametric subgraph matching F Wu, S Li, X Jin, Y Jiang, D Radev, Z Niu, SZ Li International Conference on Machine Learning, 37511-37523, 2023 | 5 | 2023 |
| A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks S Jin, Y Hong, L Zeng, Y Jiang, Y Lin, L Wei, Z Yu, X Zeng, X Liu PLOS Computational Biology 19 (11), e1011597, 2023 | 4 | 2023 |
| Explaining Graph Neural Networks via Nonparametric Subgraph Matching [J] F Wu, S Li, L Wu, D Radev, Y Jiang, X Jin, Z Niu, SZ Li Proceedings of the 40th international conference on Machine learning (ICML), 2023 | 4 | 2023 |
| A score-based geometric model for molecular dynamics simulations F Wu, Q Zhang, X Jin, Y Jiang, SZ Li arXiv preprint arXiv:2204.08672, 2022 | 4 | 2022 |
| Pre-training of deep protein models with molecular dynamics simulations for drug binding F Wu, Q Zhang, D Radev, Y Wang, X Jin, Y Jiang, Z Niu, SZ Li arXiv preprint arXiv:2204.08663 15, 2022 | 3 | 2022 |
| Automated molecular structure segmentation from documents using ChemSAM B Tang, Z Niu, X Wang, J Huang, C Ma, J Peng, Y Jiang, R Ge, H Hu, ... Journal of Cheminformatics 16 (1), 29, 2024 | | 2024 |
| A Novel Atom Pair Attention Methodology for Molecular Representation Learning H Sun, Y Jiang, M Wang, X Xiao, X Wan, M Tang, X Jin, Z Niu, H Chen | | 2023 |
| Pre-training Protein Models with Molecular Dynamics Simulations for Drug Binding F Wu, Q Zhang, D Radev, Y Wang, X Jin, Y Jiang, SZ Li, Z Niu | | 2022 |
| Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images (preprint) Q Ye, Y Gao, W Ding, Z Niu, C Wang, Y Jiang, M Wang, EF Fang, ... | | 2021 |
| Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images (preprint) S Hu, Y Gao, Z Niu, Y Jiang, L Li, X Xiao, M Wang, EF Fang, ... | | 2020 |
Zhangming NiuMindRank, Imperial College London在 mindrank.ai 的电子邮件经过验证
