Learning graph deep autoencoder for anomaly detection in multi-attributed networks M Shao, Y Lin, Q Peng, J Zhao, Z Pei, Y Sun Knowledge-Based Systems 260, 110084, 2023 | 9 | 2023 |
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments Y Lin, C Zhao, M Shao, B Meng, X Zhao, H Chen In Proceedings of the 33rd International Joint Conference on Artificial …, 2024 | 4* | 2024 |
Supervised Algorithmic Fairness in Distribution Shifts: A Survey M Shao, D Li, C Zhao, X Wu, Y Lin, Q Tian In Proceedings of the 33rd International Joint Conference on Artificial …, 2024 | 4* | 2024 |
Adaptation Speed Analysis for Fairness-aware Causal Models Y Lin, C Zhao, M Shao, X Zhao, H Chen In Proceedings of the ACM International Conference on Information and …, 0 | 2* | |
Fair Data Generation via Score-based Diffusion Model Y Lin, D Li, C Zhao, M Shao arXiv preprint arXiv:2406.09495, 2024 | | 2024 |
Adaptation Speed of Causal Models Concerning Fairness Y Lin, C Zhao, M Shao, X Zhao, H Chen KDD workshop on Ethical Artificial Intelligence: Methods and Applications (EAI), 0 | | |