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Zuohui Fu
Tytuł
Cytowane przez
Cytowane przez
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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
5632019
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
4342022
User-oriented fairness in recommendation
Y Li, H Chen, Z Fu, Y Ge, Y Zhang
Proceedings of the web conference 2021, 624-632, 2021
2582021
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
2522020
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
1172022
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
1092020
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
862022
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
762022
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
692022
Vip5: Towards multimodal foundation models for recommendation
S Geng, J Tan, S Liu, Z Fu, Y Zhang
arXiv preprint arXiv:2305.14302, 2023
662023
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
622023
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
582019
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
562021
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
532020
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
482020
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
462021
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
422019
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
392021
Faithfully explainable recommendation via neural logic reasoning
Y Zhu, Y Xian, Z Fu, G De Melo, Y Zhang
arXiv preprint arXiv:2104.07869, 2021
392021
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
362021
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