| Fairness-aware explainable recommendation over knowledge graphs Z Fu, Y Xian, R Gao, J Zhao, Q Huang, Y Ge, S Xu, S Geng, C Shah, ... Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 258 | 2020 |
| Openagi: When llm meets domain experts Y Ge, W Hua, K Mei, J Tan, S Xu, Z Li, Y Zhang Advances in Neural Information Processing Systems 36, 5539-5568, 2023 | 231 | 2023 |
| 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 | 156 | 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 | 138* | 2022 |
| Language is all a graph needs R Ye, C Zhang, R Wang, S Xu, Y Zhang Findings of the Association for Computational Linguistics: EACL 2024, 1955-1973, 2024 | 131* | 2024 |
| 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 | 130 | 2022 |
| How to index item ids for recommendation foundation models W Hua, S Xu, Y Ge, Y Zhang Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023 | 104 | 2023 |
| A survey on trustworthy recommender systems Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y Xian, Y Zhang ACM Transactions on Recommender Systems 3 (2), 1-68, 2024 | 82 | 2024 |
| 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 | 65 | 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 | 63* | 2021 |
| FedCT: Federated collaborative transfer for recommendation S Liu, S Xu, W Yu, Z Fu, Y Zhang, A Marian Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 61 | 2021 |
| Genrec: Large language model for generative recommendation J Ji, Z Li, S Xu, W Hua, Y Ge, J Tan, Y Zhang European Conference on Information Retrieval, 494-502, 2024 | 55 | 2024 |
| Up5: Unbiased foundation model for fairness-aware recommendation W Hua, Y Ge, S Xu, J Ji, Y Zhang arXiv preprint arXiv:2305.12090, 2023 | 53 | 2023 |
| Deconfounded causal collaborative filtering S Xu, J Tan, S Heinecke, VJ Li, Y Zhang ACM Transactions on Recommender Systems 1 (4), 1-25, 2023 | 51 | 2023 |
| Efficient non-sampling knowledge graph embedding Z Li, J Ji, Z Fu, Y Ge, S Xu, C Chen, Y Zhang Proceedings of the Web Conference 2021, 1727-1736, 2021 | 48 | 2021 |
| Openp5: An open-source platform for developing, training, and evaluating llm-based recommender systems S Xu, W Hua, Y Zhang Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 46 | 2024 |
| Hoops: Human-in-the-loop graph reasoning for conversational recommendation Z Fu, Y Xian, Y Zhu, S Xu, Z Li, G De Melo, Y Zhang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 41 | 2021 |
| Fairness-aware federated matrix factorization S Liu, Y Ge, S Xu, Y Zhang, A Marian Proceedings of the 16th ACM conference on recommender systems, 168-178, 2022 | 40 | 2022 |
| Tutorial on large language models for recommendation W Hua, L Li, S Xu, L Chen, Y Zhang Proceedings of the 17th ACM Conference on Recommender Systems, 1281-1283, 2023 | 39 | 2023 |
Yongfeng ZhangProfessor of Computer Science, Rutgers UniversityEmail verificata su rutgers.edu
