| Data augmentation approaches in natural language processing: A survey B Li, Y Hou, W Che Ai Open 3, 71-90, 2022 | 355 | 2022 |
| Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network Y Hou, W Che, Y Lai, Z Zhou, Y Liu, H Liu, T Liu The 58th Annual Meeting of the Association for Computational Linguistics …, 2020 | 229 | 2020 |
| Recall and learn: Fine-tuning deep pretrained language models with less forgetting S Chen, Y Hou, Y Cui, W Che, T Liu, X Yu arXiv preprint arXiv:2004.12651, 2020 | 214 | 2020 |
| Sequence-to-sequence data augmentation for dialogue language understanding Y Hou, Y Liu, W Che, T Liu arXiv preprint arXiv:1807.01554, 2018 | 169 | 2018 |
| From static to dynamic word representations: a survey Y Wang, Y Hou, W Che, T Liu International Journal of Machine Learning and Cybernetics 11, 1611-1630, 2020 | 111 | 2020 |
| Few-shot Learning for Multi-label Intent Detection Y Hou, Y Lai, Y Wu, W Che, T Liu The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021 | 53 | 2021 |
| MetaPrompting: Learning to learn better prompts Y Hou, H Dong, X Wang, B Li, W Che arXiv preprint arXiv:2209.11486, 2022 | 47 | 2022 |
| A Statistical Framework for Product Description Generation CYL Jinpeng Wang, Yutai Hou, Yunbo Cao IJCNLP, 2017 | 41* | 2017 |
| Language anisotropic cross-lingual model editing Y Xu, Y Hou, W Che, M Zhang arXiv preprint arXiv:2205.12677, 2022 | 24 | 2022 |
| Inverse is better! fast and accurate prompt for few-shot slot tagging Y Hou, C Chen, X Luo, B Li, W Che arXiv preprint arXiv:2204.00885, 2022 | 20 | 2022 |
| C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling Y Hou, S Chen, W Che, C Chen, T Liu The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021 | 20 | 2021 |
| Fewjoint: A few-shot learning benchmark for joint language understanding Y Hou, J Mao, Y Lai, C Chen, W Che, Z Chen, T Liu arXiv preprint arXiv:2009.08138, 2020 | 18 | 2020 |
| Planning, creation, usage: Benchmarking llms for comprehensive tool utilization in real-world complex scenarios S Huang, W Zhong, J Lu, Q Zhu, J Gao, W Liu, Y Hou, X Zeng, Y Wang, ... arXiv preprint arXiv:2401.17167, 2024 | 17 | 2024 |
| Discovering drug–target interaction knowledge from biomedical literature Y Hou, Y Xia, L Wu, S Xie, Y Fan, J Zhu, T Qin, TY Liu Bioinformatics 38 (22), 5100-5107, 2022 | 17 | 2022 |
| Toolace: Winning the points of llm function calling W Liu, X Huang, X Zeng, X Hao, S Yu, D Li, S Wang, W Gan, Z Liu, Y Yu, ... ICLR 2025, 2024 | 15 | 2024 |
| Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling Y Hou, Y Lai, C Chen, W Che, T Liu The 59th Annual Meeting of the Association for Computational Linguistics …, 2021 | 14 | 2021 |
| Coachlm: Automatic instruction revisions improve the data quality in llm instruction tuning Y Liu, S Tao, X Zhao, M Zhu, W Ma, J Zhu, C Su, Y Hou, M Zhang, ... 2024 IEEE 40th International Conference on Data Engineering (ICDE), 5184-5197, 2024 | 12 | 2024 |
| A Corpus-free State2Seq User Simulator for Task-oriented Dialogue Y Hou, M Fang, W Che, T Liu China National Conference on Chinese Computational Linguistics (Best Poster …, 2019 | 10 | 2019 |
| Semantic-guided generative image augmentation method with diffusion models for image classification B Li, X Xu, X Wang, Y Hou, Y Feng, F Wang, X Zhang, Q Zhu, W Che Proceedings of the AAAI Conference on Artificial Intelligence 38 (4), 3018-3027, 2024 | 7 | 2024 |
| Semantic-guided image augmentation with pre-trained models B Li, X Wang, X Xu, Y Hou, Y Feng, F Wang, W Che arXiv preprint arXiv:2302.02070 1, 2023 | 7 | 2023 |
Wanxiang CheProfessor of Harbin Institute of TechnologyVerified email at ir.hit.edu.cn
