| Incremental graph classification by class prototype construction and augmentation Y Ren, L Ke, D Li, H Xue, Z Li, S Zhou Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 9 | 2023 |
| Learning Adaptive Kernels for Statistical Independence Tests Y Ren, Y Xia, H Zhang, J Guan, S Zhou International Conference on Artificial Intelligence and Statistics, 2494-2502, 2024 | 3 | 2024 |
| Differentially Private Nonlinear Causal Discovery from Numerical Data H Zhang, Y Xia, Y Ren, J Guan, S Zhou Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 12321 …, 2023 | 3 | 2023 |
| Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance Y Ren, H Zhang, Y Xia, J Guan, S Zhou Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 6499-6506, 2023 | 3 | 2023 |
| Hybrid Causal Feature Selection for Cancer Biomarker Identification from RNA-seq Data W Xu, H Zhang, Y Xia, Y Ren, J Guan, S Zhou IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024 | 2 | 2024 |
| Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance Y Xia, H Zhang, Y Ren, J Guan, S Zhou 2023 IEEE International Conference on Data Mining (ICDM), 668-677, 2023 | 2 | 2023 |
| Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity Y Ren, H Zhang, Y Xia, H Zhang, J Guan, S Zhou arXiv preprint arXiv:2412.17717, 2024 | | 2024 |
| Towards Effective Causal Partitioning by Edge Cutting of Adjoint Graph H Zhang, Y Ren, Y Xia, S Zhou, J Guan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | | 2024 |
| Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing Y Ren, Y Xia, H Zhang, J Guan, S Zhou The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
Shuigeng ZhouFudan UniversityVerified email at fudan.edu.cn