| 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 | 63 | 2021 |
| 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 | 36 | 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 | 30* | 2023 |
| 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 | 16 | 2023 |
| Graph denoising with framelet regularizer B Zhou, R Li, X Zheng, YG Wang, J Gao arXiv preprint arXiv:2111.03264, 2021 | 11 | 2021 |
| 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 |
| 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 | 8* | 2022 |
| 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 | 7* | 2023 |
| 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 | 6* | 2022 |
| 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 |
| Framelet message passing X Liu, B Zhou, C Zhang, YG Wang arXiv preprint arXiv:2302.14806, 2023 | 3 | 2023 |
| Embedding graphs on Grassmann manifold B Zhou, X Zheng, YG Wang, M Li, J Gao Neural Networks 152, 322-331, 2022 | 3* | 2022 |
| 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, 2024 | 2 | 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 | 2 | 2023 |
| Semantical and Topological Protein Encoding Toward Enhanced Bioactivity and Thermostability Y Tan, B Zhou, L Zheng, G Fan, L Hong bioRxiv, 2023.12. 01.569522, 2023 | 2* | 2023 |
| Approximate Equivariance SO (3) Needlet Convolution K Yi, J Chen, YG Wang, B Zhou, P Liò, Y Fan, J Hamann Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022 …, 2022 | 2 | 2022 |
| On the trend-corrected variant of adaptive stochastic optimization methods B Zhou, X Zheng, J Gao 2020 international joint conference on neural networks (IJCNN), 1-8, 2020 | 2 | 2020 |
| Mn2+-Induced Structural Flexibility Enhances the Entire Catalytic Cycle and the Cleavage of Mismatches in Prokaryotic Argonaute Proteins L Zheng, B Zhou, Y Yang, B Zan, B Zhong, B Wu, Y Feng, Q Liu, L Hong Chemical Science 2024 (15), 5612-5626, 2024 | 1 | 2024 |
| A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks O Lv, B Zhou, J Wang, X Xiao, W Zhao, L Zheng arXiv preprint arXiv:2310.01272, 2023 | 1 | 2023 |
| Graph Representation Learning for Interactive Biomolecule Systems X Xiong, B Zhou, YG Wang arXiv preprint arXiv:2304.02656, 2023 | 1 | 2023 |
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyVerified email at sydney.edu.au
