| Reinforcement knowledge graph reasoning for explainable recommendation Y Xian, Z Fu, S Muthukrishnan, G De Melo, Y Zhang Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 497 | 2019 |
| Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5) S Geng, S Liu, Z Fu, Y Ge, Y Zhang Proceedings of the 16th ACM Conference on Recommender Systems, 299-315, 2022 | 281 | 2022 |
| User-oriented fairness in recommendation Y Li, H Chen, Z Fu, Y Ge, Y Zhang Proceedings of the web conference 2021, 624-632, 2021 | 223 | 2021 |
| 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 | 221 | 2020 |
| CAFE: Coarse-to-fine neural symbolic reasoning for explainable recommendation Y Xian, Z Fu, H Zhao, Y Ge, X Chen, Q Huang, S Geng, Z Qin, G De Melo, ... Proceedings of the 29th ACM International Conference on Information …, 2020 | 95 | 2020 |
| 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 | 93 | 2022 |
| Path language modeling over knowledge graphsfor explainable recommendation S Geng, Z Fu, J Tan, Y Ge, G De Melo, Y Zhang Proceedings of the ACM Web Conference 2022, 946-955, 2022 | 64 | 2022 |
| Explainable fairness in recommendation Y Ge, J Tan, Y Zhu, Y Xia, J Luo, S Liu, Z Fu, S Geng, Z Li, Y Zhang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 55 | 2022 |
| sharedcharging: Data-driven shared charging for large-scale heterogeneous electric vehicle fleets G Wang, W Li, J Zhang, Y Ge, Z Fu, F Zhang, Y Wang, D Zhang Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 52 | 2019 |
| Tutorial on conversational recommendation systems Z Fu, Y Xian, Y Zhang, Y Zhang Proceedings of the 14th ACM conference on recommender systems, 751-753, 2020 | 50 | 2020 |
| 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 | 49 | 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, 2022 | 49 | 2022 |
| Oogan: Disentangling gan with one-hot sampling and orthogonal regularization B Liu, Y Zhu, Z Fu, G De Melo, A Elgammal Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4836-4843, 2020 | 46 | 2020 |
| 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 | 42 | 2021 |
| Vip5: Towards multimodal foundation models for recommendation S Geng, J Tan, S Liu, Z Fu, Y Zhang arXiv preprint arXiv:2305.14302, 2023 | 40 | 2023 |
| Rhetorically controlled encoder-decoder for modern chinese poetry generation Z Liu, Z Fu, J Cao, G De Melo, YC Tam, C Niu, J Zhou Proceedings of the 57th annual meeting of the Association for Computational …, 2019 | 40 | 2019 |
| 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 | 38 | 2021 |
| 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 | 36 | 2021 |
| Leveraging adversarial training in self-learning for cross-lingual text classification X Dong, Y Zhu, Y Zhang, Z Fu, D Xu, S Yang, G De Melo Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 35 | 2020 |
| Faithfully explainable recommendation via neural logic reasoning Y Zhu, Y Xian, Z Fu, G De Melo, Y Zhang arXiv preprint arXiv:2104.07869, 2021 | 34 | 2021 |
Yongfeng ZhangProfessor of Computer Science, Rutgers University在 rutgers.edu 的电子邮件经过验证
