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Yingqiang Ge (葛英强)
Yingqiang Ge (葛英强)
Applied Scientist, Amazon
Bestätigte E-Mail-Adresse bei amazon.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
5102022
User-oriented fairness in recommendation
Y Li, H Chen, Z Fu, Y Ge, Y Zhang
Proceedings of the web conference 2021, 624-632, 2021
2802021
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
2602020
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
2532023
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
2462021
Understanding echo chambers in e-commerce recommender systems
Y Ge, S Zhao, H Zhou, C Pei, F Sun, W Ou, Y Zhang
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
1872020
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
1812021
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
1642021
Fairness in recommendation: Foundations, methods, and applications
Y Li, H Chen, S Xu, Y Ge, J Tan, S Liu, Y Zhang
ACM Transactions on Intelligent Systems and Technology 14 (5), 1-48, 2023
1442023
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
1392022
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
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
1052023
War and peace (waragent): Large language model-based multi-agent simulation of world wars
W Hua, L Fan, L Li, K Mei, J Ji, Y Ge, L Hemphill, Y Zhang
arXiv preprint arXiv:2311.17227, 2023
1002023
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning
Y Ge, X Zhao, L Yu, S Paul, D Hu, CC Hsieh, Y Zhang
arXiv preprint arXiv:2201.00140, 2022
942022
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
912022
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
902024
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
752022
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
672021
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
662023
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
622024
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