| 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 | 41 | 2021 |
| Decimated Framelet System on Graphs and Fast G-Framelet Transforms. X Zheng, B Zhou, YG Wang, X Zhuang J. Mach. Learn. Res. 23, 18:1-18:68, 2022 | 20 | 2022 |
| MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning X Zheng, B Zhou, M Li, YG Wang, J Gao Knowledge-Based Systems, 2023 | 18* | 2023 |
| Graph denoising with framelet regularizer B Zhou, R Li, X Zheng, YG Wang, J Gao arXiv preprint arXiv:2111.03264, 2021 | 9 | 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 | 6 | 2021 |
| Well-conditioned Spectral Transforms for Dynamic Graph Representation B Zhou, X Liu, Y Liu, Y Huang, P Lio, YG Wang Learning on Graphs Conference, 2022 | 4* | 2022 |
| Graph neural network for local corruption recovery B Zhou, Y Jiang, YG Wang, J Liang, J Gao, S Pan, X Zhang The Web Conference, 2023 | 3 | 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, 2022 | 3 | 2022 |
| 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 |
| Grassmann Graph Embedding B Zhou, X Zheng, YG Wang, M Li, J Gao ICLR 2021 Workshop on Geometrical and Topological Representation Learning, 2021 | 2 | 2021 |
| 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 |
| 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 | 1* | 2022 |
| Robust Graph Representation Learning for Local Corruption Recovery B Zhou, Y Jiang, YG Wang, J Liang, J Gao, S Pan, X Zhang ICML Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML), 2022 | 1 | 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 | | 2023 |
| Graph Representation Learning for Interactive Biomolecule Systems X Xiong, B Zhou, YG Wang arXiv preprint arXiv:2304.02656, 2023 | | 2023 |
| Framelet Message Passing X Liu, B Zhou, C Zhang, YG Wang arXiv preprint arXiv:2302.14806, 2023 | | 2023 |
| Embedding graphs on Grassmann manifold B Zhou, X Zheng, YG Wang, M Li, J Gao Neural Networks 152, 322-331, 2022 | | 2022 |
| How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images Y Shen, B Zhou, X Xiong, R Gao, YG Wang arXiv preprint arXiv:2206.07599, 2022 | | 2022 |
| Framelet Message Passing: GNNs Propagation with Multiscale Multi-hop Representation and No Oversmoothing X Liu, B Zhou, C Zhang, YG Wang The 8th International Conference on Computational Harmonic Analysis (ICCHA2022), 2022 | | 2022 |
| Geometric Signal Processing with Graph Neural Networks B Zhou The University of Sydney, 2022 | | 2022 |
Yu Guang WangShanghai Jiao Tong University, University of New South WalesVerified email at sjtu.edu.cn
