| FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation X Han, H Zhu, P Yu, Z Wang, Y Yao, Z Liu, M Sun Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 438 | 2018 |
| Iterative Entity Alignment via Joint Knowledge Embeddings H Zhu, R Xie, Z Liu, M Sun International Joint Conference on Artificial Intelligence, 2017 | 309 | 2017 |
| FewRel 2.0: Towards more challenging few-shot relation classification T Gao, X Han, H Zhu, Z Liu, P Li, M Sun, J Zhou Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 174 | 2019 |
| Graph Neural Networks with Generated Parameters for Relation Extraction H Zhu, Y Lin, Z Liu, J Fu, T Chua, M Sun Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 111 | 2019 |
| Language Modeling with Sparse Product of Sememe Experts Y Gu, J Yan, H Zhu, Z Liu, R Xie, M Sun, F Lin, L Lin Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 30 | 2018 |
| Incorporating Chinese Characters of Words for Lexical Sememe Prediction H Jin, H Zhu, Z Liu, R Xie, M Sun, F Lin, L Lin Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 28 | 2018 |
| The Return of Lexical Dependencies: Neural Lexicalized PCFGs H Zhu, Y Bisk, G Neubig Transactions of the Association for Computational Linguistics, 2020 | 25 | 2020 |
| Put it back: Entity typing with language model enhancement J Xin, H Zhu, X Han, Z Liu, M Sun Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 23 | 2018 |
| Cross-lingual lexical sememe prediction F Qi, Y Lin, M Sun, H Zhu, R Xie, Z Liu Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 23 | 2018 |
| Neural Finite-State Transducers: Beyond Rational Relations CC Lin, H Zhu, MR Gormley, J Eisner Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 18 | 2019 |
| Few-shot language coordination by modeling theory of mind H Zhu, G Neubig, Y Bisk International Conference on Machine Learning, 12901-12911, 2021 | 17 | 2021 |
| Quantifying Similarity between Relations with Fact Distribution. W Chen, H Zhu, X Han, Z Liu, M Sun Proceedings of the 57th Conference of the Association for Computational …, 2019 | 6 | 2019 |
| Dependency Induction Through the Lens of Visual Perception R Su, S Rijhwani, H Zhu, J He, X Wang, Y Bisk, G Neubig CoNLL 2021, 2021 | 2 | 2021 |
| CIGLI: Conditional Image Generation from Language & Image X Lu, L Ng, J Fernandez, H Zhu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 1 | 2021 |
| Computational Language Acquisition with Theory of Mind A Liu, H Zhu, E Liu, Y Bisk, G Neubig arXiv preprint arXiv:2303.01502, 2023 | | 2023 |
| EXCALIBUR: Encouraging and Evaluating Embodied Exploration H Zhu, R Kapoor, SY Min, W Han, J Li, K Geng, G Neubig, Y Bisk, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | | 2023 |
| Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue SY Min, H Zhu, R Salakhutdinov, Y Bisk arXiv preprint arXiv:2210.04443, 2022 | | 2022 |
| Simulated Language Learning from Communicative Goals and Linguistic Input H Zhu, Y Bisk, G Neubig Proceedings of the 44th Annual Conference of the Cognitive Science, 2022 | | 2022 |
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
