| A Survey on the Fairness of Recommender Systems Y Wang, W Ma, M Zhang, Y Liu, S Ma ACM Transactions on Information Systems 41 (3), 1-43, 2023 | 300 | 2023 |
| User perception of recommendation explanation: Are your explanations what users need? H Lu, W Ma, Y Wang, M Zhang, X Wang, Y Liu, TS Chua, S Ma ACM Transactions on Information Systems 41 (2), 1-31, 2023 | 22 | 2023 |
| Double Correction Framework for Denoising Recommendation Z He*, Y Wang*, Y Yang, P Sun, L Wu, H Bai, J Gong, R Hong, M Zhang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 10 | 2024 |
| Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty P Sun, Y Wang, M Zhang, C Wu, Y Fang, H Zhu, Y Fang, M Wang Companion Proceedings of the ACM on Web Conference 2024, 10-19, 2024 | 9 | 2024 |
| Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction Y Wang, P Sun, M Zhang, Q Jia, J Li, S Ma Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| Intersectional Two-sided Fairness in Recommendation Y Wang, P Sun, W Ma, M Zhang, Y Zhang, P Jiang, S Ma Proceedings of the ACM on Web Conference 2024, 3609-3620, 2024 | 6 | 2024 |
| Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias M Cai, L Chen, Y Wang, H Bai, P Sun, L Wu, M Zhang, M Wang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 4 | 2024 |
