Self-supervised learning for multimedia recommendation Z Tao, X Liu, Y Xia, X Wang, L Yang, X Huang, TS Chua IEEE Transactions on Multimedia, 2022 | 69 | 2022 |
Causal gene identification using non-linear regression-based independence tests H Zhang, C Yan, Y Xia, J Guan, S Zhou IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (1 …, 2022 | 4 | 2022 |
Conditional Independence Test Based on Residual Similarity H Zhang, Y Xia, K Zhang, S Zhou, J Guan ACM Transactions on Knowledge Discovery from Data 17 (8), 1-18, 2023 | 1 | 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 | 1 | 2023 |
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 | 1 | 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 | | 2024 |
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 | | 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 | | 2023 |
Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings Y Mi, H Liu, Y Xia, Y Sun, J Guan, S Zhou arXiv preprint arXiv:2308.02362, 2023 | | 2023 |