| Selective and collaborative influence function for efficient recommendation unlearning Y Li, C Chen, X Zheng, Y Zhang, B Gong, J Wang, L Chen Expert Systems with Applications 234, 121025, 2023 | 28 | 2023 |
| Making users indistinguishable: Attribute-wise unlearning in recommender systems Y Li, C Chen, X Zheng, Y Zhang, Z Han, D Meng, J Wang Proceedings of the 31st ACM International Conference on Multimedia, 984-994, 2023 | 19 | 2023 |
| Ultrare: Enhancing receraser for recommendation unlearning via error decomposition Y Li, C Chen, Y Zhang, W Liu, L Lyu, X Zheng, D Meng, J Wang Advances in Neural Information Processing Systems 36, 2024 | 16 | 2024 |
| Post-training attribute unlearning in recommender systems C Chen, Y Zhang, Y Li, J Wang, L Qi, X Xu, X Zheng, J Yin ACM Transactions on Information Systems 43 (1), 1-28, 2024 | 8 | 2024 |
| CURE4Rec: A benchmark for recommendation unlearning with deeper influence C Chen, J Zhang, Y Zhang, L Zhang, L Lyu, Y Li, B Gong, C Yan arXiv preprint arXiv:2408.14393, 2024 | 2 | 2024 |
| Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation X Zhao, C Chen, J Su, Y Zhang, B Hu 2024 IEEE International Conference on Web Services (ICWS), 247-257, 2024 | 2 | 2024 |
