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Yingqiang Ge (葛英强)
Yingqiang Ge (葛英强)
Verified email at rutgers.edu - Homepage
Title
Cited by
Cited by
Year
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
822020
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
482021
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
482020
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
382020
User-oriented fairness in recommendation
Y Li, H Chen, Z Fu, Y Ge, Y Zhang
Proceedings of the Web Conference 2021, 624-632, 2021
342021
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
242019
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
212021
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
182021
Causal collaborative filtering
S Xu, Y Ge, Y Li, Z Fu, X Chen, Y Zhang
arXiv preprint arXiv:2102.01868, 2021
162021
Learning Personalized Risk Preferences for Recommendation
Y Ge, S Xu, S Liu, Z Fu, F Sun, Y Zhang
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
152020
ABSent: Cross-lingual sentence representation mapping with bidirectional GANs
Z Fu, Y Xian, S Geng, Y Ge, Y Wang, X Dong, G Wang, G De Melo
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7756-7763, 2020
152020
Maximizing marginal utility per dollar for economic recommendation
Y Ge, S Xu, S Liu, S Geng, Z Fu, Y Zhang
The World Wide Web Conference, 2757-2763, 2019
142019
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
92021
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
72021
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
52022
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
52021
Variation Control and Evaluation for Generative Slate Recommendations
S Liu, F Sun, Y Ge, C Pei, Y Zhang
arXiv preprint arXiv:2102.13302, 2021
42021
FAIR: Fairness-Aware Information Retrieval Evaluation
R Gao, Y Ge, C Shah
arXiv preprint arXiv:2106.08527, 2021
32021
Improving Personalized Explanation Generation through Visualization
S Geng, Z Fu, Y Ge, L Li, G de Melo, Y Zhang
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
22022
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
22022
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Articles 1–20