| 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 | 282 | 2019 |
| 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 | 126 | 2020 |
| User-oriented fairness in recommendation Y Li, H Chen, Z Fu, Y Ge, Y Zhang Proceedings of the Web Conference 2021, 624-632, 2021 | 76 | 2021 |
| 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 | 51 | 2020 |
| 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 | 38 | 2019 |
| 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 | 35 | 2020 |
| Causal collaborative filtering S Xu, Y Ge, Y Li, Z Fu, X Chen, Y Zhang arXiv preprint arXiv:2102.01868, 2021 | 27 | 2021 |
| 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 | 26 | 2020 |
| Radiohound: A pervasive sensing platform for sub-6 ghz dynamic spectrum monitoring N Kleber, J Chisum, A Striegel, B Hochwald, A Termos, JN Laneman, Z Fu, ... | 25 | 2016 |
| 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 | 22 | 2021 |
| Contrastive visual-linguistic pretraining L Shi, K Shuang, S Geng, P Su, Z Jiang, P Gao, Z Fu, G de Melo, S Su arXiv preprint arXiv:2007.13135, 2020 | 20 | 2020 |
| 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 AAAI 2020, 2020 | 20 | 2020 |
| 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 | 20 | 2019 |
| E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce D Zhang, Z Yuan, Y Liu, Z Fu, F Zhuang, H Xiong arXiv preprint arXiv:2009.02835, 2020 | 19 | 2020 |
| 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 | 19 | 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 | 17 | 2021 |
| Learning post-hoc causal explanations for recommendation S Xu, Y Li, S Liu, Z Fu, X Chen, Y Zhang arXiv preprint arXiv:2006.16977, 2020 | 17 | 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 | 16 | 2022 |
| 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 | 16 | 2020 |
| 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 | 16 | 2019 |
Yongfeng ZhangRutgers University, Computer ScienceПотвърден имейл адрес: rutgers.edu
