| How framelets enhance graph neural networks X Zheng, B Zhou, J Gao, YG Wang, P Lio, M Li, G Montúfar International Conference on Machine Learning, 2021 | 77 | 2021 |
| Graph denoising diffusion for inverse protein folding K Yi, B Zhou, Y Shen, P Liò, YG Wang Thirty-seventh Conference on Neural Information Processing Systems., 2023 | 48 | 2023 |
| Decimated framelet system on graphs and fast G-framelet transforms X Zheng, B Zhou, YG Wang, X Zhuang Journal of Machine Learning Research 23 (18), 1-68, 2022 | 41 | 2022 |
| MathNet: Haar-like wavelet multiresolution analysis for graph representation learning X Zheng, B Zhou, M Li, YG Wang, J Gao Knowledge-Based Systems 273, 110609, 2023 | 34* | 2023 |
| Protein engineering with lightweight graph denoising neural networks B Zhou, L Zheng, B Wu, Y Tan, O Lv, K Yi, G Fan, L Hong Journal of Chemical Information and Modeling 64 (9), 3650-3661, 2024 | 23* | 2024 |
| Robust Graph Representation Learning for Local Corruption Recovery B Zhou, Y Jiang, YG Wang, J Liang, J Gao, S Pan, X Zhang WWW '23: Proceedings of the ACM Web Conference 2023, 438–448, 2023 | 15* | 2023 |
| Semantical and geometrical protein encoding toward enhanced bioactivity and thermostability Y Tan, B Zhou, L Zheng, G Fan, L Hong bioRxiv, 2023.12. 01.569522, 2023 | 13* | 2023 |
| Graph Denoising with Framelet Regularizers B Zhou, R Li, X Zheng, YG Wang, J Gao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 12 | 2024 |
| Well-conditioned Spectral Transforms for Dynamic Graph Representation B Zhou, X Liu, Y Liu, Y Huang, P Lio, YG Wang Proceedings of the First Learning on Graphs Conference 198, 12:1-12:19, 2022 | 11* | 2022 |
| A conditional protein diffusion model generates artificial programmable endonuclease sequences with enhanced activity B Zhou, L Zheng, B Wu, K Yi, B Zhong, Y Tan, Q Liu, P Liò, L Hong Cell Discovery 10 (1), 95, 2024 | 10* | 2024 |
| Simple, efficient, and scalable structure-aware adapter boosts protein language models Y Tan, M Li, B Zhou, B Zhong, L Zheng, P Tan, Z Zhou, H Yu, G Fan, ... Journal of Chemical Information and Modeling 64 (16), 6338-6349, 2024 | 10 | 2024 |
| ProSST: Protein language modeling with quantized structure and disentangled attention M Li, P Tan, X Ma, B Zhong, H Yu, Z Zhou, W Ouyang, B Zhou, L Hong, ... bioRxiv, 2024.04. 15.589672, 2024 | 9 | 2024 |
| 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 | 9* | 2023 |
| Framelet message passing X Liu, B Zhou, C Zhang, YG Wang arXiv preprint arXiv:2302.14806, 2023 | 9 | 2023 |
| Manifold optimization-assisted Gaussian variational approximation B Zhou, J Gao, MN Tran, R Gerlach Journal of Computational and Graphical Statistics 30 (4), 946-957, 2021 | 9 | 2021 |
| Prosst: Protein language modeling with quantized structure and disentangled attention. bioRxiv M Li, Y Tan, X Ma, B Zhong, H Yu, Z Zhou, W Ouyang, B Zhou, L Hong, ... | 7 | 2024 |
| ProtSolM: Protein Solubility Prediction with Multi-modal Features Y Tan, J Zheng, L Hong, B Zhou 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | 6 | 2024 |
| Semantical and topological protein encoding toward enhanced bioactivity and thermostability. bioRxiv Y Tan, B Zhou, L Zheng, G Fan, L Hong | 5 | 2023 |
| Embedding graphs on Grassmann manifold B Zhou, X Zheng, YG Wang, M Li, J Gao Neural Networks 152, 322-331, 2022 | 5* | 2022 |
| Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance? Y Tan, L Zheng, B Zhong, L Hong, B Zhou 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | 4 | 2024 |
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyZweryfikowany adres z sydney.edu.au