User-oriented fairness in recommendation Y Li, H Chen, Z Fu, Y Ge, Y Zhang Proceedings of the Web Conference 2021, 624-632, 2021 | 238 | 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 | 217 | 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 | 150 | 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 | 137 | 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 | 101 | 2022 |

Neural collaborative reasoning H Chen, S Shi, Y Li, Y Zhang Proceedings of the Web Conference 2021, 1516-1527, 2021 | 93 | 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 | 74 | 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 | 60 | 2022 |

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 | 59 | 2021 |

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 | 57 | 2023 |

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 | 42 | 2022 |

Fairness of ChatGPT Y Li, Y Zhang arXiv preprint arXiv:2305.18569, 2023 | 32 | 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 | 32 | 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 | 29 | 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 | 18 | 2022 |

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 | 15 | 2021 |

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 | 14 | 2023 |

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 | 7 | 2022 |

Looking further into the future: Career pathway prediction M Yamashita, Y Li, T Tran, Y Zhang, D Lee WSDM Computational Jobs Marketplace, 2022 | 7 | 2022 |

Transferable Fairness for Cold-Start Recommendation Y Li, D Wang, H Chen, Y Zhang arXiv preprint arXiv:2301.10665, 2023 | 5 | 2023 |