| Lightweight Equivariant Graph Representation Learning for Protein Engineering B Zhou, O Lv, K Yi, X Xiong, P Tan, L Hong, YG Wang NeurIPS workshop on Machine Learning in Structural Biology, 2022 | 5 | 2022 |
| Accurate and definite mutational effect prediction with lightweight equivariant graph neural networks B Zhou, O Lv, K Yi, X Xiong, P Tan, L Hong, YG Wang arXiv preprint arXiv:2304.08299, 2023 | 4 | 2023 |
| How graph neural networks enhance convolutional neural networks towards mining the topological structures from histology Y Shen, B Zhou, X Xiong, R Gao, YG Wang ICML Workshop on Computational Biology 8, 2022 | 4 | 2022 |
| How GNNs facilitate CNNs in mining geometric information from large-scale medical images Y Shen, B Zhou, X Xiong, R Gao, YG Wang 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 2 | 2023 |
| Graph Representation Learning for Interactive Biomolecule Systems X Xiong, B Zhou, YG Wang arXiv preprint arXiv:2304.02656, 2023 | 1 | 2023 |
Yu Guang WangAssociate Professor, Shanghai Jiao Tong University, University of New South Wales在 sjtu.edu.cn 的电子邮件经过验证
