| 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 | 39 | 2021 |
| Faithfully explainable recommendation via neural logic reasoning Y Zhu, Y Xian, Z Fu, G De Melo, Y Zhang arXiv preprint arXiv:2104.07869, 2021 | 37 | 2021 |
| 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 | 36 | 2020 |
| Cookie: A dataset for conversational recommendation over knowledge graphs in e-commerce Z Fu, Y Xian, Y Zhu, Y Zhang, G de Melo arXiv preprint arXiv:2008.09237, 2020 | 24 | 2020 |
| Data augmentation with adversarial training for cross-lingual nli XL Dong, Y Zhu, Z Fu, D Xu, G De Melo Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 21 | 2021 |
| ICXML: An in-context learning framework for zero-shot extreme multi-label classification Y Zhu, H Zamani arXiv preprint arXiv:2311.09649, 2023 | 8 | 2023 |
| Predicting prerequisite relations for unseen concepts Y Zhu, H Zamani Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 4 | 2022 |
