Παρακολούθηση
SHUYUAN XU
SHUYUAN XU
Rutgers University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα rutgers.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
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
2582020
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
2322023
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
1722021
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
1572021
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
1312022
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
1042023
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
832024
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
652023
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
612021
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
552024
Up5: Unbiased foundation model for fairness-aware recommendation
W Hua, Y Ge, S Xu, J Ji, Y Zhang
arXiv preprint arXiv:2305.12090, 2023
532023
Deconfounded causal collaborative filtering
S Xu, J Tan, S Heinecke, VJ Li, Y Zhang
ACM Transactions on Recommender Systems 1 (4), 1-25, 2023
512023
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
482021
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
462024
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
412021
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
402022
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
392023
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