| Learning causal representations for robust domain adaptation S Yang, K Yu, F Cao, L Liu, H Wang, J Li IEEE Transactions on Knowledge and Data Engineering 35 (3), 2750-2764, 2023 | 36 | 2023 |
| Dual-representation-based autoencoder for domain adaptation S Yang, K Yu, F Cao, H Wang, X Wu IEEE Transactions on Cybernetics 52 (8), 7464-7477, 2022 | 26 | 2022 |
| Towards efficient local causal structure learning S Yang, H Wang, K Yu, F Cao, X Wu IEEE Transactions on Big Data 8 (6), 1592-1609, 2022 | 22 | 2022 |
| Representation learning via serial autoencoders for domain adaptation S Yang, Y Zhang, Y Zhu, P Li, X Hu Neurocomputing 351, 1-9, 2019 | 21 | 2019 |
| Semi-supervised representation learning via dual autoencoders for domain adaptation S Yang, H Wang, Y Zhang, P Li, Y Zhu, X Hu Knowledge-Based Systems 190, 105161, 2020 | 18 | 2020 |
| Representation learning via serial robust autoencoder for domain adaptation S Yang, Y Zhang, H Wang, P Li, X Hu Expert Systems with Applications 160, 113635, 2020 | 15 | 2020 |
| Bootstrap-based causal structure learning X Guo, Y Wang, X Huang, S Yang, K Yu Proceedings of the 31st ACM International Conference on Information and …, 2022 | 9 | 2022 |
| Multi-objective multitasking optimization based on positive knowledge transfer mechanism Q Dang, W Gao, M Gong, S Yang Information Sciences 612, 322-343, 2022 | 7 | 2022 |
| Causal feature selection in the presence of sample selection bias S Yang, X Guo, K Yu, X Huang, T Jiang, J He, L Gu ACM Transactions on Intelligent Systems and Technology 14 (5), 78:1-78:18, 2023 | 5 | 2023 |
| Markov boundary learning with streaming data for supervised classification C Liu, S Yang, K Yu IEEE Access 8, 102222-102234, 2020 | 5 | 2020 |
| Multi-marginalized denoising autoencoders for domain adaptation S Yang, Y Zhang, X Hu Journal of Frontiers of Computer Science & Technology 13 (2), 322, 2019 | 3 | 2019 |
| Marginalized stacked denoising autoencoder with adaptive noise probability for cross domain classification Y Zhang, S Yang, P Li, X Hu, H Wang IEEE Access 7, 143015-143024, 2019 | 2 | 2019 |
| Improving gradient-based DAG learning by structural asymmetry Y Wang, S Yang, X Guo, K Yu 2021 IEEE International Conference on Big Knowledge (ICBK), 1-8, 2021 | 1 | 2021 |
| Accelerating learning bayesian network structures by reducing redundant ci tests W Hu, S Yang, X Guo, K Yu 2021 IEEE International Conference on Big Knowledge (ICBK), 46-53, 2021 | 1 | 2021 |
| The L2,1 norm stacked robust autoencoders via adaptation regularization for domain adaptation S Yang, Y Zhang, Y Zhu, H Ding, X Hu Artificial Intelligence and Security: 5th International Conference, ICAIS …, 2019 | 1 | 2019 |
| Hybrid IoT Device Selection With Knowledge Transfer for Federated Learning Q Dang, G Zhang, L Wang, S Yang, T Zhan IEEE Internet of Things Journal, 2023 | | 2023 |
| LncRNA–protein interaction prediction with reweighted feature selection G Lv, Y Xia, Z Qi, Z Zhao, L Tang, C Chen, S Yang, Q Wang, L Gu BMC bioinformatics 24 (1), 410, 2023 | | 2023 |
| Stable learning via sample reweighting and dual classifiers S Yang, H Wang, K Yu, F Cao Journal of Software, 2021 | | 2021 |
| Nonlinear cross-domain feature representation learning method based on dual constraints H Ding, Y Zhang, S Yang, Y Lin 2019 IEEE International Conference on Big Knowledge (ICBK), 66-72, 2019 | | 2019 |
