| User-oriented fairness in recommendation Y Li, H Chen, Z Fu, Y Ge, Y Zhang Proceedings of the Web Conference 2021, 624-632, 2021 | 274 | 2021 |
| Towards long-term fairness in recommendation Y Ge, S Liu, R Gao, Y Xian, Y Li, X Zhao, C Pei, F Sun, J Ge, W Ou, ... Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 240 | 2021 |
| Counterfactual explainable recommendation J Tan, S Xu, Y Ge, Y Li, X Chen, Y Zhang Proceedings of the 30th ACM International Conference on Information …, 2021 | 172 | 2021 |
| Towards personalized fairness based on causal notion Y Li, H Chen, S Xu, Y Ge, Y Zhang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 154 | 2021 |
| Learning and evaluating graph neural network explanations based on counterfactual and factual reasoning J Tan, S Geng, Z Fu, Y Ge, S Xu, Y Li, Y Zhang Proceedings of the ACM Web Conference 2022, 1018-1027, 2022 | 127 | 2022 |
| Neural collaborative reasoning H Chen, S Shi, Y Li, Y Zhang Proceedings of the Web Conference 2021, 1516-1527, 2021 | 104 | 2021 |
| Fairness in Recommendation: A Survey Y Li, H Chen, S Xu, Y Ge, J Tan, S Liu, Y Zhang arXiv preprint arXiv:2205.13619, 2022 | 83 | 2022 |
| A survey on trustworthy recommender systems Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y Xian, Y Zhang arXiv preprint arXiv:2207.12515, 2022 | 80 | 2022 |
| Causal collaborative filtering S Xu, Y Ge, Y Li, Z Fu, X Chen, Y Zhang Proceedings of the 2023 ACM SIGIR International Conference on Theory of …, 2023 | 64 | 2023 |
| Tutorial on fairness of machine learning in recommender systems Y Li, Y Ge, Y Zhang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 64 | 2021 |
| Graph collaborative reasoning H Chen, Y Li, S Shi, S Liu, H Zhu, Y Zhang Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 48 | 2022 |
| Fairness of ChatGPT Y Li, Y Zhang arXiv preprint arXiv:2305.18569, 2023 | 42 | 2023 |
| Learning causal explanations for recommendation S Xu, Y Li, S Liu, Z Fu, Y Ge, X Chen, Y Zhang The 1st International Workshop on Causality in Search and Recommendation, 2021 | 38 | 2021 |
| Learning post-hoc causal explanations for recommendation S Xu, Y Li, S Liu, Z Fu, X Chen, Y Zhang arXiv preprint arXiv:2006.16977, 2020 | 30 | 2020 |
| Causal factorization machine for robust recommendation Y Li, H Chen, J Tan, Y Zhang Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries, 1-9, 2022 | 19 | 2022 |
| Causal Inference for Recommendation: Foundations, Methods and Applications S Xu, J Ji, Y Li, Y Ge, J Tan, Y Zhang arXiv preprint arXiv:2301.04016, 2023 | 17 | 2023 |
| Counterfactual Evaluation for Explainable AI Y Ge, S Liu, Z Li, S Xu, S Geng, Y Li, J Tan, F Sun, Y Zhang arXiv preprint arXiv:2109.01962, 2021 | 16 | 2021 |
| Fairness in job recommendation under quantity constraints Y Li, M Yamashita, H Chen, D Lee, Y Zhang AAAI-23 Workshop on AI for Web Advertising, 2023 | 11 | 2023 |
| Looking further into the future: Career pathway prediction M Yamashita, Y Li, T Tran, Y Zhang, D Lee WSDM Computational Jobs Marketplace, 2022 | 11 | 2022 |
| Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS) H Chen, Y Li, H Zhu, Y Zhang Proceedings of the 31st ACM International Conference on Information …, 2022 | 8 | 2022 |
